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Computing, Communication and Learning : Third International Conference, CoCoLe 2024, Warangal, India, September 13–15, 2024, Revised Selected Papers / / edited by Sanjaya Kumar Panda, Rajkumar Buyya, Rashmi Ranjan Rout, Manjubala Bisi, Sangharatna Godboley, Kuan-Ching Li, Ashish Ghosh
| Computing, Communication and Learning : Third International Conference, CoCoLe 2024, Warangal, India, September 13–15, 2024, Revised Selected Papers / / edited by Sanjaya Kumar Panda, Rajkumar Buyya, Rashmi Ranjan Rout, Manjubala Bisi, Sangharatna Godboley, Kuan-Ching Li, Ashish Ghosh |
| Autore | Panda Sanjaya Kumar |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (576 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
BuyyaRajkumar
RoutRashmi Ranjan BisiManjubala GodboleySangharatna LiKuan-Ching GhoshAshish |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Application software Computers Artificial Intelligence Computer Engineering and Networks Computer and Information Systems Applications Computing Milieux |
| ISBN |
9783031790416
3031790413 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Advancements in AI for Predictive Modeling, Quality Enhancement, and Real-Time Detection Across Various Domains. -- Crude Oil Price Forecasting using Hybridization of Optimized Deep Learning and Shallow Machine Learning Models. -- Adam Lyrebird Optimization-based DLSTM for Solar Irradiance Prediction using Time Series Data. -- Code Smell Detection using Deep Learning Models to Enhance the Software Quality. -- Unveiling the Future of Agriculture: Transformative Impact of Advanced Deep Learning with Mobile App Technology for Plant Leaf Disease Detection. -- Air Quality Prediction using Ensemble Learning. -- Real-Time Highway Accident Detection and Response with Deep Learning and Edge Caching. -- Detection of Yoga Poses Using CNN and LSTM Models. -- Enhancing Rhetorical Role Identification in Legal Documents using Large Language Models and IN_place Data Augmentation. -- Persona-Driven Dialog Generation: Enhancing User Engagement Through Linguistic Proficiency and Personalization. -- Design and Development of a Working Tool for Visual Speech and Speaker Recognition for Marathi and Gujarati Languages. -- Analysis of Tracking Algorithms for Multi-Person Tracking. -- Personalized Human Activity Recognition Using Smartphone Technology. -- Machine Learning Advances in Medical Imaging, Agricultural Monitoring, and Multimedia Processing. -- A Comprehensive Comparative Study of Breast Cancer Detection Using Machine Learning Techniques to Improve Diagnosis. -- Performance Improvement of Machine Learning Algorithms Through Information-Theoretic Class Based Feature Multicorrelation Enabled Feature Selection for Cervical Cancer Prediction. -- Towards Robust Skin Cancer Diagnosis: Deep Fusion of VGG16 and MobileNet Features. -- Deep Transfer Model Based Accurate Brain Tumor Classification in Magnetic Resonance Images. -- Pneumonia Detection from X-ray Images using Deep Transfer Learning. -- Crop Identification by using Machine Learning Classification Algorithm. -- Biotic Stress Classification of Pear Leaves Diseases using Stacking Ensemble Approaches. -- Unveiling Emotions from Audio: A Multi-Model Exploration Leveraging Diverse Datasets. -- A Contrastive Meta-Learning Approach with Isotropic Sparse Decomposition for Scalable Audio-Visual Learning. -- Audio-Based Video Segmentation for Long Duration Videos using Triplet-Loss Based Sentence Transformers and Acoustic Characteristics. -- Video Content Moderation in Instagram. -- An Effective Deep Learning Model for Air-Scripted Alphabet Recognition System. -- Advancements in Privacy-Preservation and Intelligent Detection Systems for Federated Learning and Edge Computing. -- Privacy-Preservation for Federated Learning: Survey and Future Directions. -- Decentralized Health: Federated Deep Learning for Cervical Cytology Image Segmentation. -- Malicious URL Detection using Artificial Intelligence Techniques. -- Deep Forest-based Intrusion Detection System for Edge Intelligence Assisted Smart Homes. -- Statistical Modeling of Temperature Prediction Using Residual Network. -- Investigating Salient Object Detection Methods Tailored for Edge Computing Infrastructure. -- A Novel and Scalable Framework for Analyzing Building Energy Efficiency. -- Assessment on Significant SVM and MLP-Based Optimized Resource Allocation for Load Balancing. -- An Improved and More Effective FSPC-Based Cloud Consumer Legality Process for Protected Data. -- A Review on QoS Aware Approaches in Edge-Fog Computing Environment. |
| Record Nr. | UNINA-9910983033503321 |
Panda Sanjaya Kumar
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Intelligence, Tools, and Applications : Proceedings of the International Conference on Machine Intelligence, Tools, and Applications—ICMITA 2024 / / edited by Satchidananda Dehuri, Sung-Bae Cho, Venkat Prasad Padhy, Poonkuntrun Shanmugam, Ashish Ghosh
| Machine Intelligence, Tools, and Applications : Proceedings of the International Conference on Machine Intelligence, Tools, and Applications—ICMITA 2024 / / edited by Satchidananda Dehuri, Sung-Bae Cho, Venkat Prasad Padhy, Poonkuntrun Shanmugam, Ashish Ghosh |
| Autore | Dehuri Satchidananda |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (435 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ChoSung-Bae
PadhyVenkat Prasad ShanmugamPoonkuntrun GhoshAshish |
| Collana | Learning and Analytics in Intelligent Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Machine learning Computational Intelligence Artificial Intelligence Machine Learning |
| ISBN | 3-031-65392-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Fuzzy Guided Genetic Algorithm Routing for Energy Conservation in Wireless Sensor Networks -- Comparative Analysis of Prediction Models for Software Bug Prediction -- Mandelbug Classification Engine Transfer Learning and NLP Approach -- Software Maintenance Prediction Using Regression Models -- Rough Set ELM Classifier and Deep Architecture for Remote Sensing Images -- Design of an Efficient Model for Satellite Image Classification Using Graph Neural Networks and Elephant Herding Optimization -- Multifaceted Analysis of Climate Trends and Air Quality in Indian Metropolises A Machine Learning and Time Series Forecasting Approach -- Machine Learning based Analysis and Forecasting of Electricity Demand in Misamis Occidental Philippines -- Implementation and Optimization of Swarm based System for Multi Agent Coordination and Task Execution in Marine Environment -- Implementing Deep NN for Plant Disease Detection and Diagnosis -- A PSO approach for two warehouse inventory problem with imperfect quality and variable discount -- Design of Intraday Stock Price Prediction Model using Machine Learning via Technical Indicators. |
| Record Nr. | UNINA-9910878059903321 |
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Dehuri Satchidananda
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mining Intelligence and Knowledge Exploration [[electronic resource] ] : 5th International Conference, MIKE 2017, Hyderabad, India, December 13–15, 2017, Proceedings / / edited by Ashish Ghosh, Rajarshi Pal, Rajendra Prasath
| Mining Intelligence and Knowledge Exploration [[electronic resource] ] : 5th International Conference, MIKE 2017, Hyderabad, India, December 13–15, 2017, Proceedings / / edited by Ashish Ghosh, Rajarshi Pal, Rajendra Prasath |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XX, 438 p. 125 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Data mining Computer vision Biometric identification Algorithms Artificial Intelligence Computer and Information Systems Applications Data Mining and Knowledge Discovery Computer Vision Biometrics |
| ISBN | 3-319-71928-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Functional Link Artificial Neural Network for Multi-label Classification -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 Functional Link Artificial Neural Network (FLANN) -- 3.2 Representation of Multi-label Data -- 4 The Proposed Multi-label FLANN (MLFLANN) -- 4.1 Architecture of the Network -- 4.2 Training Phase -- 4.3 Testing Phase -- 5 Experimental Details and Analysis of Results -- 5.1 Datasets Used -- 5.2 Results and Analysis -- 6 Conclusion -- References -- Emotion Recognition Through Facial Gestures - A Deep Learning Approach -- Abstract -- 1 Introduction -- 2 Dataset -- 3 Preprocessing -- 4 Emotion Prediction Using SVM -- 5 System Architecture -- 5.1 Training Phase -- 5.2 Testing Phase -- 6 Convolutional Neural Network -- 7 Various Attempted Networks, Their Comparisons and the Selection of Proposed Network -- 8 Proposed Network Architecture -- 9 Results -- 10 Conclusion -- References -- Supervised Approaches to Assign Cooperative Patent Classification (CPC) Codes to Patents -- 1 Introduction -- 2 Related Work and Background -- 3 Datasets -- 4 Methods: Label Scoring, Reranking, and Thresholding -- 4.1 Label Scoring -- 4.2 Label (re)ranking -- 4.3 Label Cut-Off/Thresholding -- 5 Experiment and Results -- 6 Conclusion -- References -- A Betweenness Centrality Guided Clustering Algorithm and Its Applications to Cancer Diagnosis -- 1 Introduction -- 2 Clustering Using Betweenness Centrality on Spanning Subgraph -- 3 Experimental Analysis -- 4 Conclusion and Future Scope -- References -- MahalCUSFilter: A Hybrid Undersampling Method to Improve the Minority Classification Rate of Imbalanced Datasets -- 1 Introduction -- 2 Related Work -- 2.1 Undersampling -- 3 Proposed Method -- 3.1 Motivation for the Proposed Method -- 3.2 Theoritical Background of Proposed Method.
3.3 Framework for the Proposed Method -- 3.4 Results -- 4 Conclusions -- References -- Bezier Curve Based Continuous Medial Representation for Shape Analysis: A Theoretical Framework -- Abstract -- 1 Introduction -- 2 Proposed Methodology -- 3 Polygonal Approximation -- 4 Construction and Regularization of the Skeleton -- 5 Bezier Curve Description -- 6 Data Structure -- 7 Experimental Results -- 8 Conclusion -- Acknowledgements -- References -- Trust Distrust Enhanced Recommendations Using an Effective Similarity Measure -- 1 Introduction -- 2 Related Work -- 2.1 Collaborative Filtering -- 2.2 Trust Model -- 3 Trust Distrust Enhanced Recommendation Framework -- 4 Experiment Setup -- 4.1 Design of Experiments -- 4.2 Performance Evaluation -- 4.3 Experiments -- 4.4 Result -- 5 Conclusion -- References -- Language Identification Based on the Variations in Intonation Using Multi-classifier Systems -- Abstract -- 1 Introduction -- 2 Proposed Work -- 3 Implementation -- 4 Results and Discussion -- 5 Conclusion -- Acknowledgment -- References -- Cognitive Decision Making for Navigation Assistance Based on Intent Recognition -- 1 Introduction -- 2 Model of Intention Prediction -- 2.1 Features -- 2.2 Intention Recognition -- 2.3 Orientation and Distance -- 3 Implementation and Results -- 3.1 Navigation Path -- 3.2 Avoiding Obstacle -- 4 Analysis -- 5 Conclusion -- References -- Clinical Intelligence: A Data Mining Study on Corneal Transplantation -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Cornea -- 2.2 Clinical Intelligence System -- 2.3 Related Work -- 3 Methods and Tools -- 4 Case Study -- 4.1 Business Understanding -- 4.2 Data Understanding -- 4.3 Data Preparation -- 4.4 Modeling -- 4.5 Evaluation -- 5 Discussion -- 6 Conclusions and Future Work -- Acknowledgement -- References. High-Quality Medical Image Compression Using Discrete Orthogonal Cosine Stockwell Transform and Optimal Integer Bit Allocated Quantization -- Abstract -- 1 Introduction -- 2 Proposed Medical Image Codec -- 2.1 Designing of the Image Transformation Block for the Proposed Codec -- 2.2 Optimal Bit Allocated Quantization Block for the Proposed Codec -- 3 Results and Discussions -- 3.1 Time Complexity Analysis of the Proposed Medical Image Codec -- 4 Conclusions -- References -- Coprime Mapping Transformation for Protected and Revocable Fingerprint Template Generation -- 1 Introduction -- 1.1 Background -- 1.2 Existing Approaches -- 1.3 Contributions -- 2 Proposed Scheme -- 2.1 Pre-processing and Minutiae Extraction -- 2.2 Feature Extraction -- 2.3 Cancelable Template Generation -- 2.4 Matching -- 3 Experimental Results and Analysis -- 3.1 Validation of Parameter: Number of Sectors (s) -- 3.2 Performance -- 3.3 Baseline Comparison -- 3.4 Comparison with Existing Approaches -- 4 Security Analysis -- 4.1 Irreversibility Analysis -- 4.2 Revocability Analysis -- 4.3 Diversity Analysis -- 5 Conclusion -- References -- Supervised Asymmetric Metric Extraction: An Approach to Combine Distances -- 1 Introduction -- 2 Metric Approaches in Machine Learning -- 3 Supervised Asymmetric Metric Extraction -- 4 Biometric Applications -- 4.1 Datasets and Original Metrics -- 4.2 Learned Metrics -- 4.3 Performance Test -- 5 Conclusion -- References -- Interval-Valued Writer-Dependent Global Features for Off-line Signature Verification -- Abstract -- 1 Introduction -- 2 Proposed Method -- 2.1 Feature Computation -- 2.2 Selection of Writer-Dependent Features -- 2.3 Fixation of Feature Dimension and Threshold for Individual Writer -- 2.4 Clustering and Creation of Interval-Valued Feature Vector -- 2.5 Verification -- 3 Experimentation and Results -- 4 Comparative Analysis. 5 Conclusion -- References -- Despeckling with Structure Preservation in Clinical Ultrasound Images Using Historical Edge Information Weighted Regularizer -- 1 Introduction -- 2 Proposed Approach -- 3 Experimental Analysis -- 3.1 Dataset -- 3.2 Result and Analysis -- 4 Conclusion -- References -- Fingerprint Image Quality Assessment and Scoring -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Block Quality Labeling -- 3.2 Fingerprint Quality Score Computation -- 4 Experimental Results -- 5 Conclusions -- References -- A Multi-objective Evolutionary Algorithm for Color Image Segmentation -- 1 Introduction -- 2 Proposed Approach -- 2.1 Representation of Individuals -- 2.2 Generation of Initial Segments -- 2.3 Objective Functions -- 2.4 Evolutionary Operators -- 3 Evaluation Criterion: Modified PRI -- 4 Experiments and Results -- 4.1 Experimental Setup -- 4.2 Results and Discussion -- 5 Conclusion -- References -- Face Recognition by RBF with Wavelet, DCV and Modified LBP Operator Face Representation Methods -- Abstract -- 1 Introduction -- 2 Face Representation -- 2.1 Wavelet Transformation -- 2.2 Wavelet Packet Transformation -- 2.3 Discriminative Common Vector -- 2.4 Proposed Local Binary Pattern -- 3 Recognition by Radial Basis Function Neural Network -- 3.1 Algorithm -- 4 Results and Discussions -- 5 Conclusion -- References -- DNN-HMM Acoustic Modeling for Large Vocabulary Telugu Speech Recognition -- 1 Introduction -- 2 IIIT-H Telugu Speech Corpus -- 3 System Overview -- 4 DNN-HMM Modeling -- 4.1 Deep Neural Networks -- 4.2 Ergodic HMMs -- 4.3 Training for DNN-HMM -- 4.4 Testing for DNN-HMM -- 5 Results and Discussion -- 6 Conclusion and Future Scope -- References -- Memetic Algorithm Based on Global-Best Harmony Search and Hill Climbing for Part of Speech Tagging -- Abstract -- 1 Introduction -- 2 Related Works. 2.1 Traditional Approaches to Build POS Taggers -- 2.2 Metaheuristic Algorithms as an Approach to Build POS Taggers -- 2.3 Tagsets for Tagging Corpus and Tagged Corpus -- 3 Harmony Search Algorithm -- 4 Algorithm Proposed for the Tagging Problem -- 4.1 Part-of-Speech Tagging (POST) Problem -- 4.2 Part-of-Speech Tagging as an Optimization Problem -- 4.3 Global-Best Harmony Search Tagger -- 5 Experiments, Analyses, and Comparisons -- 5.1 Configuration -- 5.2 Results -- 6 Conclusions and Future Work -- Acknowledgements -- References -- A Study on Crossmodal Correspondence in Sensory Pathways Through Forced Choice Task and Frequency Ba ... -- Abstract -- 1 Introduction -- 2 Theory -- 3 Materials and Methods -- 3.1 Participants -- 3.2 Stimuli -- 3.3 Procedure -- 3.4 Analysis of Words -- 4 Results and Discussion -- 5 Conclusions -- References -- Point Process Modeling of Spectral Peaks for Low Resource Robust Speech Recognition -- 1 Introduction -- 2 Baseline HMM Recognizer -- 3 Spectral Peak Based Point Process Representation of Speech -- 3.1 Identification of Spectral Peaks -- 3.2 Removal of Spurious Spectral Peaks -- 4 Bankwise Segmentation of Spectral Peaks -- 5 Point Process Model Based Isolated Word Recognizer -- 6 Experimentation and Results -- 7 Conclusion -- References -- Significance of DNN-AM for Multimodal Sentiment Analysis -- 1 Introduction -- 2 Databases -- 2.1 Spanish Database -- 2.2 Hindi Database -- 3 Audio Sentiment Classification -- 3.1 DNNAM -- 4 Sentiment Analysis Using Text Features -- 5 Multimodal Sentiment Analysis -- 6 Summary and Conclusions -- References -- Pattern Based Information Retrieval Approach to Discover Extremist Information on the Internet -- Abstract -- 1 Introduction -- 2 Proposed Approach -- 2.1 General Scheme -- 2.2 "N-Gram Vs Sentence" Matrix Text Representation Model -- 2.3 Extracting Hidden Topics Using ONMF. 2.4 Using N-Gram Based Topics for Keywords Extraction and Document's Relevance Estimation. |
| Record Nr. | UNISA-996466430403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Mining Intelligence and Knowledge Exploration : 5th International Conference, MIKE 2017, Hyderabad, India, December 13–15, 2017, Proceedings / / edited by Ashish Ghosh, Rajarshi Pal, Rajendra Prasath
| Mining Intelligence and Knowledge Exploration : 5th International Conference, MIKE 2017, Hyderabad, India, December 13–15, 2017, Proceedings / / edited by Ashish Ghosh, Rajarshi Pal, Rajendra Prasath |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XX, 438 p. 125 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Data mining Computer vision Biometric identification Algorithms Artificial Intelligence Computer and Information Systems Applications Data Mining and Knowledge Discovery Computer Vision Biometrics |
| ISBN | 3-319-71928-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Functional Link Artificial Neural Network for Multi-label Classification -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 Functional Link Artificial Neural Network (FLANN) -- 3.2 Representation of Multi-label Data -- 4 The Proposed Multi-label FLANN (MLFLANN) -- 4.1 Architecture of the Network -- 4.2 Training Phase -- 4.3 Testing Phase -- 5 Experimental Details and Analysis of Results -- 5.1 Datasets Used -- 5.2 Results and Analysis -- 6 Conclusion -- References -- Emotion Recognition Through Facial Gestures - A Deep Learning Approach -- Abstract -- 1 Introduction -- 2 Dataset -- 3 Preprocessing -- 4 Emotion Prediction Using SVM -- 5 System Architecture -- 5.1 Training Phase -- 5.2 Testing Phase -- 6 Convolutional Neural Network -- 7 Various Attempted Networks, Their Comparisons and the Selection of Proposed Network -- 8 Proposed Network Architecture -- 9 Results -- 10 Conclusion -- References -- Supervised Approaches to Assign Cooperative Patent Classification (CPC) Codes to Patents -- 1 Introduction -- 2 Related Work and Background -- 3 Datasets -- 4 Methods: Label Scoring, Reranking, and Thresholding -- 4.1 Label Scoring -- 4.2 Label (re)ranking -- 4.3 Label Cut-Off/Thresholding -- 5 Experiment and Results -- 6 Conclusion -- References -- A Betweenness Centrality Guided Clustering Algorithm and Its Applications to Cancer Diagnosis -- 1 Introduction -- 2 Clustering Using Betweenness Centrality on Spanning Subgraph -- 3 Experimental Analysis -- 4 Conclusion and Future Scope -- References -- MahalCUSFilter: A Hybrid Undersampling Method to Improve the Minority Classification Rate of Imbalanced Datasets -- 1 Introduction -- 2 Related Work -- 2.1 Undersampling -- 3 Proposed Method -- 3.1 Motivation for the Proposed Method -- 3.2 Theoritical Background of Proposed Method.
3.3 Framework for the Proposed Method -- 3.4 Results -- 4 Conclusions -- References -- Bezier Curve Based Continuous Medial Representation for Shape Analysis: A Theoretical Framework -- Abstract -- 1 Introduction -- 2 Proposed Methodology -- 3 Polygonal Approximation -- 4 Construction and Regularization of the Skeleton -- 5 Bezier Curve Description -- 6 Data Structure -- 7 Experimental Results -- 8 Conclusion -- Acknowledgements -- References -- Trust Distrust Enhanced Recommendations Using an Effective Similarity Measure -- 1 Introduction -- 2 Related Work -- 2.1 Collaborative Filtering -- 2.2 Trust Model -- 3 Trust Distrust Enhanced Recommendation Framework -- 4 Experiment Setup -- 4.1 Design of Experiments -- 4.2 Performance Evaluation -- 4.3 Experiments -- 4.4 Result -- 5 Conclusion -- References -- Language Identification Based on the Variations in Intonation Using Multi-classifier Systems -- Abstract -- 1 Introduction -- 2 Proposed Work -- 3 Implementation -- 4 Results and Discussion -- 5 Conclusion -- Acknowledgment -- References -- Cognitive Decision Making for Navigation Assistance Based on Intent Recognition -- 1 Introduction -- 2 Model of Intention Prediction -- 2.1 Features -- 2.2 Intention Recognition -- 2.3 Orientation and Distance -- 3 Implementation and Results -- 3.1 Navigation Path -- 3.2 Avoiding Obstacle -- 4 Analysis -- 5 Conclusion -- References -- Clinical Intelligence: A Data Mining Study on Corneal Transplantation -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Cornea -- 2.2 Clinical Intelligence System -- 2.3 Related Work -- 3 Methods and Tools -- 4 Case Study -- 4.1 Business Understanding -- 4.2 Data Understanding -- 4.3 Data Preparation -- 4.4 Modeling -- 4.5 Evaluation -- 5 Discussion -- 6 Conclusions and Future Work -- Acknowledgement -- References. High-Quality Medical Image Compression Using Discrete Orthogonal Cosine Stockwell Transform and Optimal Integer Bit Allocated Quantization -- Abstract -- 1 Introduction -- 2 Proposed Medical Image Codec -- 2.1 Designing of the Image Transformation Block for the Proposed Codec -- 2.2 Optimal Bit Allocated Quantization Block for the Proposed Codec -- 3 Results and Discussions -- 3.1 Time Complexity Analysis of the Proposed Medical Image Codec -- 4 Conclusions -- References -- Coprime Mapping Transformation for Protected and Revocable Fingerprint Template Generation -- 1 Introduction -- 1.1 Background -- 1.2 Existing Approaches -- 1.3 Contributions -- 2 Proposed Scheme -- 2.1 Pre-processing and Minutiae Extraction -- 2.2 Feature Extraction -- 2.3 Cancelable Template Generation -- 2.4 Matching -- 3 Experimental Results and Analysis -- 3.1 Validation of Parameter: Number of Sectors (s) -- 3.2 Performance -- 3.3 Baseline Comparison -- 3.4 Comparison with Existing Approaches -- 4 Security Analysis -- 4.1 Irreversibility Analysis -- 4.2 Revocability Analysis -- 4.3 Diversity Analysis -- 5 Conclusion -- References -- Supervised Asymmetric Metric Extraction: An Approach to Combine Distances -- 1 Introduction -- 2 Metric Approaches in Machine Learning -- 3 Supervised Asymmetric Metric Extraction -- 4 Biometric Applications -- 4.1 Datasets and Original Metrics -- 4.2 Learned Metrics -- 4.3 Performance Test -- 5 Conclusion -- References -- Interval-Valued Writer-Dependent Global Features for Off-line Signature Verification -- Abstract -- 1 Introduction -- 2 Proposed Method -- 2.1 Feature Computation -- 2.2 Selection of Writer-Dependent Features -- 2.3 Fixation of Feature Dimension and Threshold for Individual Writer -- 2.4 Clustering and Creation of Interval-Valued Feature Vector -- 2.5 Verification -- 3 Experimentation and Results -- 4 Comparative Analysis. 5 Conclusion -- References -- Despeckling with Structure Preservation in Clinical Ultrasound Images Using Historical Edge Information Weighted Regularizer -- 1 Introduction -- 2 Proposed Approach -- 3 Experimental Analysis -- 3.1 Dataset -- 3.2 Result and Analysis -- 4 Conclusion -- References -- Fingerprint Image Quality Assessment and Scoring -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Block Quality Labeling -- 3.2 Fingerprint Quality Score Computation -- 4 Experimental Results -- 5 Conclusions -- References -- A Multi-objective Evolutionary Algorithm for Color Image Segmentation -- 1 Introduction -- 2 Proposed Approach -- 2.1 Representation of Individuals -- 2.2 Generation of Initial Segments -- 2.3 Objective Functions -- 2.4 Evolutionary Operators -- 3 Evaluation Criterion: Modified PRI -- 4 Experiments and Results -- 4.1 Experimental Setup -- 4.2 Results and Discussion -- 5 Conclusion -- References -- Face Recognition by RBF with Wavelet, DCV and Modified LBP Operator Face Representation Methods -- Abstract -- 1 Introduction -- 2 Face Representation -- 2.1 Wavelet Transformation -- 2.2 Wavelet Packet Transformation -- 2.3 Discriminative Common Vector -- 2.4 Proposed Local Binary Pattern -- 3 Recognition by Radial Basis Function Neural Network -- 3.1 Algorithm -- 4 Results and Discussions -- 5 Conclusion -- References -- DNN-HMM Acoustic Modeling for Large Vocabulary Telugu Speech Recognition -- 1 Introduction -- 2 IIIT-H Telugu Speech Corpus -- 3 System Overview -- 4 DNN-HMM Modeling -- 4.1 Deep Neural Networks -- 4.2 Ergodic HMMs -- 4.3 Training for DNN-HMM -- 4.4 Testing for DNN-HMM -- 5 Results and Discussion -- 6 Conclusion and Future Scope -- References -- Memetic Algorithm Based on Global-Best Harmony Search and Hill Climbing for Part of Speech Tagging -- Abstract -- 1 Introduction -- 2 Related Works. 2.1 Traditional Approaches to Build POS Taggers -- 2.2 Metaheuristic Algorithms as an Approach to Build POS Taggers -- 2.3 Tagsets for Tagging Corpus and Tagged Corpus -- 3 Harmony Search Algorithm -- 4 Algorithm Proposed for the Tagging Problem -- 4.1 Part-of-Speech Tagging (POST) Problem -- 4.2 Part-of-Speech Tagging as an Optimization Problem -- 4.3 Global-Best Harmony Search Tagger -- 5 Experiments, Analyses, and Comparisons -- 5.1 Configuration -- 5.2 Results -- 6 Conclusions and Future Work -- Acknowledgements -- References -- A Study on Crossmodal Correspondence in Sensory Pathways Through Forced Choice Task and Frequency Ba ... -- Abstract -- 1 Introduction -- 2 Theory -- 3 Materials and Methods -- 3.1 Participants -- 3.2 Stimuli -- 3.3 Procedure -- 3.4 Analysis of Words -- 4 Results and Discussion -- 5 Conclusions -- References -- Point Process Modeling of Spectral Peaks for Low Resource Robust Speech Recognition -- 1 Introduction -- 2 Baseline HMM Recognizer -- 3 Spectral Peak Based Point Process Representation of Speech -- 3.1 Identification of Spectral Peaks -- 3.2 Removal of Spurious Spectral Peaks -- 4 Bankwise Segmentation of Spectral Peaks -- 5 Point Process Model Based Isolated Word Recognizer -- 6 Experimentation and Results -- 7 Conclusion -- References -- Significance of DNN-AM for Multimodal Sentiment Analysis -- 1 Introduction -- 2 Databases -- 2.1 Spanish Database -- 2.2 Hindi Database -- 3 Audio Sentiment Classification -- 3.1 DNNAM -- 4 Sentiment Analysis Using Text Features -- 5 Multimodal Sentiment Analysis -- 6 Summary and Conclusions -- References -- Pattern Based Information Retrieval Approach to Discover Extremist Information on the Internet -- Abstract -- 1 Introduction -- 2 Proposed Approach -- 2.1 General Scheme -- 2.2 "N-Gram Vs Sentence" Matrix Text Representation Model -- 2.3 Extracting Hidden Topics Using ONMF. 2.4 Using N-Gram Based Topics for Keywords Extraction and Document's Relevance Estimation. |
| Record Nr. | UNINA-9910483935103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition and Machine Intelligence : 9th International Conference, PReMI 2021, Kolkata, India, December 15–18, 2021, Proceedings / / edited by Ashish Ghosh, Irwin King, Malay Bhattacharyya, Shubhra Sankar Ray, Sankar K. Pal
| Pattern Recognition and Machine Intelligence : 9th International Conference, PReMI 2021, Kolkata, India, December 15–18, 2021, Proceedings / / edited by Ashish Ghosh, Irwin King, Malay Bhattacharyya, Shubhra Sankar Ray, Sankar K. Pal |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (639 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Data mining Artificial intelligence Algorithms Computer Imaging, Vision, Pattern Recognition and Graphics Data Mining and Knowledge Discovery Artificial Intelligence Design and Analysis of Algorithms |
| ISBN | 9783031127007 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Image Processing -- Image Quality Assessment using Combination of Deep Convolutional Neural Networks -- Blind Image Forgery Detection using LBP and Statistical Moments -- Edge Detection in Gray Scale Images using Partial Sum of Second Order Taylor Series Expansion -- Image Re-Attentionizing Using Particle Swarm Optimization -- Auto-Encoder Guided Attention based Network for Hyperspectral Recovery from Real RGB Images -- 2 Text, Voice and Video Processing -- Raga Classification in Carnatic Music Using Audio Thumbnailing -- Wavelet Residual Learning for Efficient Future Frame Prediction from Natural Video Sequences -- Voice Privacy Through Time-Scale and Pitch Modification -- Abusive Speech Detection and Politeness Transfer -- Voice Liveness Detection using Bump Wavelet with CNN -- 3 Bioinformatics -- Classification of Task Evoked fMRI Signals using Temporal Characteristics of Brain Regions -- Ensemble Models for Multi-class Classification of Diabetic Retinopathy -- Identification of Potential Biomarkers using Integrative Approach: An application of ESCC -- Autoencoder Assisted Cancer Subtyping by Integrating Multi-omics Data -- ADHDNet: A DNN based Framework for Efficient Early ADHD Detection from fMRI Dataset -- 4 Deep Learning -- Multi-Stage Transfer Learning Based Yoga Pose Recognition using CNN -- Autoencoder and Extreme Learning Machine based Deep Multi-label Classifier -- Neural Pooling for Graph Neural Networks -- Pedestrian Detection and Movement Direction Recognition with Convolutional Neural Network -- Deep Learning Based Tree Detection and Counting for Remotely Sensed Images -- CateReR: A Graph Neural Network-based Model for Category-wise Reliability-aware Recommendation -- 5 Medical Image Processing -- Attention Assisted Patch-wise CNN for the Segmentation of Fluids from the Retinal Optical Coherence Tomography Images -- A Reinforcement Learning Framework for Lung Segmentation of COVID-19 and Pneumonia Affected Chest X-Ray Image -- Deep and Bio-Inspired spiking Neural Networks based Optimized Multimodal Neurological Image Fusion Model -- Model Compression Techniques for Atrial Fibrillation Detection on Mobile Devices -- Speckle de-noising with Local Oriented Structure for Edge Preservation in Ultrasound Images -- 6 Theory and Models -- Magnetic Resonance Imaging via weighted $\ell_{1-p}$ minimization -- Spherical Separability : Associative Memories -- Addressing Issues in Training Neural ExtractiveSummarisation Models -- Metrics from Fuzzy Implications and their Application -- STATS-BERT: An Enhanced BERT Model with Statistical Masking for Improved Transfer Performance -- 7 Feature Selection -- Super-Resolution Model Using Multi Directional Structure Integrity Prior -- Stateful MapReduce Framework for mRMR Feature Selection using Horizontal Partitioning -- Analysis of Lombard Effect by using Hybrid Visual Features for ASR -- Adverse Event Classification from Co-prescribed Drugs by Integrating Chemical, Phenotypic and Graph Embedding Features -- Enhancing EEG-Based Emotion Recognition using Multi Domain Features and Genetic Algorithm based Feature Selection -- 8 Biometrics and Dermoscopy -- A Novel Cancelable Fingerprint Template Generation Mechanism using Visual Secret Sharing -- Re-calibrated Attention-based Deep Learning Technique for Dermoscopic Lesion Segmentation -- An Enhanced Generative Adversarial Network model for Fingerprint Presentation Attack Detection -- Rank Level Fusion of Multimodal Biometrics Using Particle Swarm Optimization -- 9 Facial Image Analysis -- Wavelet Based Convolutional Neural Network for Face Anti-Spoofing -- MaskMTL: Attribute Prediction in Masked Facial Images with Deep Multitask Learning -- Masked Face Detection for Effective COVID-19 Containment: A Light Convolution Neural Network based Model -- Petersen Graph based Binary Pattern for Person Independent Facial Expression Recognition -- Restoring Face Occluded Images Using GAN Based Inpainting with Perceptual and Contextual Losses -- 10 Object and Event Detection -- Salient Object Detection in Hyperspectral Images Using Felzenswalb's Segmentation Algorithm -- Automated Proctoring based on Head Orientation Analysis and Object Detection -- A Hybrid Network for Scanned Floor Plan Image Recognition and Room Labeling -- An Effective Real-time Surveillance System for Fire and Smoke Detection Using CNN -- Spatial-SMOTE: An Approach for Handling Class Imbalance in Spatial Time Series Data -- An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data -- 11 Pattern Recognition -- Automated Seed Quality Testing System using GAN and Active Learning -- Stochastic Quasi-Newton Minimum Complexity Machine for Pattern Classification -- Semi-supervised Learning using Variational Autoencoder - A Cluster based Approach -- Non-Episodic Variational Discriminative Few-Shot Classifier -- PReLim: A Modeling Paradigm for Remote Sensing Image Scene Classification under Limited Labeled Samples -- 12 Machine Learning Applications -- Towards Automatic Defect Detection in Sugarcane Billets from Images -- DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks -- Legal Case Retrieval using SVM Classifier -- Topic Evolution Model for Interactive Information Search -- Interactive System for Toddlers using Doodle Recognition -- HORIE: Helpfulness of Online Reviews with Improved Embedding. |
| Record Nr. | UNINA-9910874684103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Pattern Recognition and Machine Intelligence [[electronic resource] ] : 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings / / edited by Pradipta Maji, Ashish Ghosh, M. Narasimha Murty, Kuntal Ghosh, Sankar K. Pal
| Pattern Recognition and Machine Intelligence [[electronic resource] ] : 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings / / edited by Pradipta Maji, Ashish Ghosh, M. Narasimha Murty, Kuntal Ghosh, Sankar K. Pal |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXXVI, 753 p. 267 illus.) |
| Disciplina | 004.0151 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer science
Artificial intelligence Pattern recognition systems Application software Data mining Bioinformatics Theory of Computation Artificial Intelligence Automated Pattern Recognition Computer and Information Systems Applications Data Mining and Knowledge Discovery Computational and Systems Biology |
| ISBN | 3-642-45062-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Pattern recognition -- Machine learning -- Image processing -- Speech and video processing -- Medical imaging -- Document image processing -- Soft computing -- Bioinformatics and computational biology -- Social media mining. |
| Record Nr. | UNISA-996465655403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Pattern Recognition and Machine Intelligence : 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings / / edited by Pradipta Maji, Ashish Ghosh, M. Narasimha Murty, Kuntal Ghosh, Sankar K. Pal
| Pattern Recognition and Machine Intelligence : 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings / / edited by Pradipta Maji, Ashish Ghosh, M. Narasimha Murty, Kuntal Ghosh, Sankar K. Pal |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXXVI, 753 p. 267 illus.) |
| Disciplina | 004.0151 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer science
Artificial intelligence Pattern recognition systems Application software Data mining Bioinformatics Theory of Computation Artificial Intelligence Automated Pattern Recognition Computer and Information Systems Applications Data Mining and Knowledge Discovery Computational and Systems Biology |
| ISBN | 3-642-45062-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Pattern recognition -- Machine learning -- Image processing -- Speech and video processing -- Medical imaging -- Document image processing -- Soft computing -- Bioinformatics and computational biology -- Social media mining. |
| Record Nr. | UNINA-9910484907003321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Soft Computing and Its Engineering Applications : 5th International Conference, icSoftComp 2023, Changa, Anand, India, December 7–9, 2023, Revised Selected Papers, Part I / / edited by Kanubhai K. Patel, KC Santosh, Atul Patel, Ashish Ghosh
| Soft Computing and Its Engineering Applications : 5th International Conference, icSoftComp 2023, Changa, Anand, India, December 7–9, 2023, Revised Selected Papers, Part I / / edited by Kanubhai K. Patel, KC Santosh, Atul Patel, Ashish Ghosh |
| Autore | Patel Kanubhai K |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (331 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
SantoshK. C
PatelAtul GhoshAshish |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer networks Image processing - Digital techniques Computer vision Data mining Application software Artificial Intelligence Computer Communication Networks Computer Imaging, Vision, Pattern Recognition and Graphics Data Mining and Knowledge Discovery Computer and Information Systems Applications |
| ISBN |
9783031537318
3031537319 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory and methods -- A Simple Difference Based Inter Frame Video Forgery Detection And Localization -- Pixel-Level Segmentation for Multiobject Tracking Using Mask RCNN-FPN -- Novel Integrated Conv Siamese Model for Land Cover Change Detection -- X-DeepID: An Explainable Hybrid Deep Learning Method for Enhancing IoT Security with Intrusion Detection -- Explainable Artificial Intelligence for Combating Cyberbullying -- On Finding Non Coding Elements in Genome : A Machine Intelligence Approach -- Investigating Natural Inhibitors of Permeability-glycoprotein (p-gp) Liver Transporter via Molecular Docking Simulation for Hepatocellular Carcinoma Therapy -- Temporal Contrast Sets Mining -- Visualization Techniques in VR for Vocational Education: Comparison of Realism and Diegesis on Performance, Memory, Perception and Perceived Usability -- Multi-Tenant Servitization Platform-as-a-Service Model -- A Load-balanced Task Scheduling in Fog-Cloud Architecture: A Machine Learning Approach -- Using Machine Learning Techniques and Algorithms for predicting the Time Length of Publishing a Law (TLOPL) in the domain of e-Parliament -- Deep Metric Learning with Music Data -- Online Health Information Seeking in Social Media -- Blockchain Segmentation: An Industrial Solution for Large Scale Data -- Non-linear Finite Element Restorative Analysis of Low Shear Resistant RC Beams Strengthened with Bio-sisal and GFRP -- Estimation of Mass Balance of Baspa Basin, Western Himalayas using Remote Sensing Data -- Systems and Applications -- OntoOpinionMiner: An Opinion Mining Algorithm for Drug Reviews -- MTL-rtFND: Multimodal Transfer Learning for Real-time Fake News Detection on Social Media -- Classification of Exaggerated News Headlines -- Inappropriate Text Detection and Rephrasing using NLP -- Predicting Suicide Ideation from Social Media Text Using CNN BiLSTM -- Enhanced Multi-Step Breast Cancer Prediction through IntegratedbDimensionality Reduction and Support Vector Classification -- Designing AI-Based Non-invasive Method for Automatic Detection of Bovine Mastitis. . |
| Record Nr. | UNINA-9910835055303321 |
|
Patel Kanubhai K
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soft Computing and Its Engineering Applications : 5th International Conference, icSoftComp 2023, Changa, Anand, India, December 7–9, 2023, Revised Selected Papers, Part II / / edited by Kanubhai K. Patel, KC Santosh, Atul Patel, Ashish Ghosh
| Soft Computing and Its Engineering Applications : 5th International Conference, icSoftComp 2023, Changa, Anand, India, December 7–9, 2023, Revised Selected Papers, Part II / / edited by Kanubhai K. Patel, KC Santosh, Atul Patel, Ashish Ghosh |
| Autore | Patel Kanubhai K |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (287 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
SantoshK. C
PatelAtul GhoshAshish |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer networks Image processing - Digital techniques Computer vision Data mining Application software Artificial Intelligence Computer Communication Networks Computer Imaging, Vision, Pattern Recognition and Graphics Data Mining and Knowledge Discovery Computer and Information Systems Applications |
| ISBN |
9783031537288
3031537289 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Systems and Applications -- Metagenomic Gene Prediction Using Bidirectional LSTM -- Energy-Efficient Task Scheduling in Fog Environment using TOPSIS -- Dynamic Underload Host Detection for Performance Enhancement in Cloud Environment -- Inverse Reinforcement Learning to Enhance Physical Layer Security in 6G RIS-Assisted Connected Cars -- Computer Vision-Based Cybersecurity Threat Detection System with GAN-Enhanced Data Augmentation -- Classification using Optimal Polarimetric Parameters for Compact Polarimetric Data -- Comparative study of Supervised Classification for LULC Using Geospatial Technology -- A U-Net Based Approach for High-Accuracy Land Use Land Cover Classification in Hyperspectral Remote Sensing -- Novel Channel Fuzzy Logic System Modeling for Aquatic Acoustic Wireless Communication within a Tank -- Iterative Interference Cancellation for STBC-OFDM System over Doubly Selective Channel -- Managing Multiple Identities of IoT Devices Using Blockchain -- Machine Learning Enabled Image Classification Using K-Nearest Neighbour and Learning Vector Quantization -- Enhancing IDC Histopathology Image Classification: A Comparative Study of Fine-tuned and Pretrained Models -- Optimized Path Planning Techniques for Navigational Control of Mobile Robot Using Grass Fire Algorithm in Obstacle Environmental -- A Novel Approach for Suggestions on Law Based Problems -- Performance Evaluation of Service Broker Policies in Cloud Computing Environment using Round Robin -- A Course Study Planning Framework – An Engineering Perspective -- Three Languages Simulate Polygons and Perform on the Web -- Hybrid Techniques -- Multi Disease Prediction using Ensembling of distinct Machine Learning and Deep Learning Classifiers -- Resource Management through Workload Prediction Using Deep Learning in Fog-Cloud Architecture. |
| Record Nr. | UNINA-9910835063203321 |
|
Patel Kanubhai K
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soft Computing and Its Engineering Applications [[electronic resource] ] : 4th International Conference, icSoftComp 2022, Changa, Anand, India, December 9–10, 2022, Proceedings / / edited by Kanubhai K. Patel, K. C. Santosh, Atul Patel, Ashish Ghosh
| Soft Computing and Its Engineering Applications [[electronic resource] ] : 4th International Conference, icSoftComp 2022, Changa, Anand, India, December 9–10, 2022, Proceedings / / edited by Kanubhai K. Patel, K. C. Santosh, Atul Patel, Ashish Ghosh |
| Autore | Patel Kanubhai K |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (491 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
SantoshK. C
PatelAtul GhoshAshish |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer networks Image processing—Digital techniques Computer vision Data mining Application software Artificial Intelligence Computer Communication Networks Computer Imaging, Vision, Pattern Recognition and Graphics Data Mining and Knowledge Discovery Computer and Information Systems Applications |
| ISBN | 3-031-27609-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory and methods -- NAARPreC: A Novel Approach for Adaptive Resource Prediction in Cloud -- One True Pairing: Evaluating Effective Language Pairings for Fake News Detection Employing Zero-Shot Cross Lingual Transfer -- FedCLUS: Federated Clustering from Distributed Homogeneous Data -- On Language Clustering: Non-parametric Statistical Approach -- Method Agnostic Model Class Reliance (MAMCR) Explanation of Multiple Machine Learning Models -- Association Rules based Feature Extraction for Deep Learning Classification -- Global Thresholding Technique for Basal Ganglia Segmentation from Positron Emission Tomography Images -- Oversampling Methods to Handle the Class Imbalance Problem: A Review -- Analog Implementation of Neural Network -- Designing Fog Device Network for Digitization of University Campus -- Word Sense Disambiguation from English to Indic language: Approaches and Opportunities -- Explainable AI for Predictive Analytics on Employee Attrition -- Graph Convolutional Neural Networks for Nuclei Segmentation from Histopathology Images -- Performance Analysis of Cache Memory in CPU -- Extraction of Single Chemical Structure from Handwritten Complex Chemical Structure with Junction Point Based Segmentation -- Automatic Mapping of Deciduous and Evergreen Forest by Using Machine Learning and Satellite Imagery -- Systems and Applications -- RIN: Towards A Semantic Rigorous Interpretable Artificial Immune System for Intrusion Detection -- SVRCI: An Approach for Semantically Driven Video Recommendation Incorporating Collective Intelligence -- Deep Learning based Model for Fundus Retinal Image Classification -- Reliable Network-Packet Binary Classification -- SemKnowNews: A Semantically Inclined Knowledge Driven Approach for Multi-Source Aggregation and Recommendation of News with a focus on Personalization -- Extraction and Analysis of Speech Emotion Features using Hybrid Punjabi Audio Dataset -- Human Activity Recognition in Videos using Deep Learning -- Brain Tumor Classification using VGG-16 and MobileNetV2 Deep Learning Techniques on Magnetic Resonance Images (MRI) -- Five-Year Life Expectancy Prediction of Prostate Cancer Patients Using Machine Learning Algorithms -- An Ensemble MultiLabel Classifier for Intra-Cranial Haemorrhage Detection from Large, Heterogeneous and Imbalanced Database -- A Method for Workflow Segmentation and action prediction from video data - AR Content -- Convolutional Neural Network Approach for Iris Segmentation -- Reinforcement Learning Algorithms for Effective Resource Management in Cloud Computing -- Corpus Building for Hate Speech Detection of Gujarati Language -- Intrinsic use of Genetic Optimizer in CNN Towards Efficient Image Classification -- A Software System for Smart Course Planning -- Meetei Mayek Natural Scene Character Recognition using CNN -- Utilization of Data Mining Classification Technique to Predict the Food Security Status of Wheat -- Hybrid Techniques -- QoS-Aware Service Placement for Fog Integrated Cloud using Modified Neuro-Fuzzy Approach -- Optimizing Public Grievance Detection Accuracy through Hyperparameter Tuning of Random Forest and Hybrid Model. . |
| Record Nr. | UNISA-996547967603316 |
|
Patel Kanubhai K
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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