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Congress on Intelligent Systems . Volume 2 : proceedings of CIS 2021 / / Mukesh Saraswat [and four others], editors
| Congress on Intelligent Systems . Volume 2 : proceedings of CIS 2021 / / Mukesh Saraswat [and four others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (914 pages) |
| Disciplina | 006.3 |
| Collana | Lecture notes on data engineering and communications technologies |
| Soggetto topico |
Artificial intelligence
Internet of things |
| ISBN | 981-16-9113-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- A Comprehensive Survey on Machine Reading Comprehension: Models, Benchmarked Datasets, Evaluation Metrics, and Trends -- 1 Introduction -- 2 Materials and Methods -- 2.1 Machine Reading Comprehension Tasks -- 2.2 Types of Machine Reading Comprehension Questions -- 2.3 Latest Trends on Machine Reading Comprehension -- 3 MRC Architecture, Modules, and Baseline Models -- 3.1 Word Embedding -- 3.2 Feature Extraction -- 3.3 Context-Question Interaction -- 3.4 Answer Prediction -- 4 Performance Evaluation Metrics -- 4.1 Accuracy -- 4.2 Exact Match -- 4.3 Precision and Recall -- 4.4 F1 Score (F Score or F Measure) -- 4.5 Recall-Oriented Understudy for Gisting Evaluation (ROUGE) -- 4.6 Bilingual Evaluation Understudy (BLEU) -- 4.7 Metric for Evaluation of Translation with Explicit Ordering (METEOR) -- 4.8 Human Equivalence Score (HEQ) -- 5 Summary and Conclusion -- References -- A Novel Feature Descriptor: Color Texture Description with Diagonal Local Binary Patterns Using New Distance Metric for Image Retrieval -- 1 Introduction -- 2 Proposed Method -- 2.1 Diagonal Local Binary Pattern for Color Image -- 3 Similarity Measures -- 3.1 Proposed New Distance Metric -- 4 Analysis and Result -- 4.1 Performance and Measures -- 4.2 Datasets -- 4.3 Obtained Results -- 5 Conclusion -- References -- OntoINT: A Framework for Ontology Integration Based on Entity Linking from Heterogeneous Knowledge Sources -- 1 Introduction -- 2 Related Works -- 3 Proposed System Architecture -- 4 Implementation and Performance Evaluation -- 5 Conclusions -- References -- KnowCommerce: A Semantic Web Compliant Knowledge-driven Paradigm for Product Recommendation in E-commerce -- 1 Introduction -- 2 Related Works -- 3 Proposed System Architecture -- 4 Implementation -- 5 Performance Evaluation and Results -- 6 Conclusion.
References -- Removal of Occlusion in Face Images Using PIX2PIX Technique for Face Recognition -- 1 Introduction -- 2 Related Works -- 3 Proposed Research Methodology -- 3.1 GAN and Pix2pix -- 3.2 Proposed Architecture -- 4 Experiments -- 4.1 Case 1: Training with Occluded Images in the Dataset -- 4.2 Case 2: Training with Images by Creating an Occlusion -- 4.3 Case 3: Training With Images by Creating an Occlusion with Discriminative Receptive Field of 64 × 64 -- 5 Conclusion -- References -- Age, Gender and Emotion Estimation Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Image or Data-Set Collection -- 3.2 Function to Encode the Labels -- 3.3 Resizing and Preprocessing the Data -- 3.4 Extracting and Integrating the Features -- 3.5 Training and Testing -- 3.6 Output -- 4 Experiment and Results -- 5 Conclusions and Future Work -- References -- Qualitative Classification of Wheat Grains Using Supervised Learning -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Segmentation -- 3.2 Feature Extraction -- 3.3 Classification Using Multilayer Perceptron (MLP) -- 4 Results -- 4.1 Dataset Description -- 4.2 Experimental Results -- 4.3 Performance Analysis -- 4.4 Comparative Analysis -- 5 Conclusion -- References -- Pandemic Simulation and Contact Tracing: Identifying Super Spreaders -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Method: Pandemic Simulation and Contact Tracing: Identifying Super Spreaders -- 3.1 Initial Dataset Generation -- 3.2 Simulation -- 3.3 Visualising Data -- 3.4 Identification of Super Spreaders -- 4 Experimental Results -- 5 Experimental Results and Analysis -- 6 Future Scope -- 7 Conclusion -- References -- Assessment of Attribution in Cyber Deterrence: A Fuzzy Entropy Approach -- 1 Introduction -- 2 Literature Review -- 2.1 Cyber Deterrence. 2.2 Cyber Attribution -- 3 A Mathematical Model -- 3.1 Numerical Example -- 4 Conclusion -- References -- Predictive Maintenance of Bearing Machinery Using MATLAB -- 1 Introduction -- 1.1 Importance -- 1.2 Motivation and Significant Statistics -- 1.3 Research Challenges/Gaps -- 1.4 Proposed Solution -- 1.5 Terms and Terminologies -- 1.6 Paper Structure -- 2 Related Work -- 2.1 Background -- 2.2 Current State of Art -- 2.3 Literature Review -- 3 Dataset -- 3.1 Data Collection -- 3.2 Data Organization -- 3.3 Exploratory Data Analysis -- 3.4 Data Features [21] -- 3.5 Data Pre-processing -- 4 Proposed Methodology -- 4.1 Architecture -- 4.2 Technical Details -- 4.3 Algorithms and Equations -- 4.4 Pseudocode -- 4.5 Methodology Steps -- 5 Results and Analysis -- 5.1 Results Organization -- 5.2 Figures -- 5.3 Graphs -- 5.4 Performance Metrics Evaluations -- 6 Challenges -- 7 Conclusion -- 7.1 Future Work -- References -- Fuzzy Keyword Search Over Encrypted Data in Cloud Computing: An Extensive Analysis -- 1 Introduction -- 1.1 Contribution of the Work -- 1.2 Organization of the Work -- 2 Background -- 2.1 Literature Survey -- 3 Industry Case Study -- 3.1 Technical Reports -- 3.2 Real-Time Scenarios -- 4 Fuzzy-Based Modified Keyword Search Model -- 4.1 Detailed Architecture -- 5 Conclusion and Future Work -- 5.1 Conclusion -- 5.2 Future Work -- References -- Application of Data Mining and Temporal Data Mining Techniques: A Case Study of Medicine Classification -- 1 Introduction -- 2 K‐Means Clustering -- 3 Experimental Results and Discussion -- 4 Conclusion -- References -- A Deep Learning Approach for Plagiarism Detection System Using BERT -- 1 Introduction -- 1.1 NLP and Machine Learning -- 1.2 Machine Learning and Word Embedding -- 1.3 NLP and Plagiarism -- 1.4 Organization of Paper -- 2 Related Work -- 3 Approaches to Plagiarism Detection. 4 Plagiarism Detection Methods -- 5 Word Embeddings and Plagiarism Detection -- 6 Experimental Results -- 6.1 Experimental Setup -- 6.2 Data Pre-processing -- 6.3 Dataset Preparation -- 6.4 Methodology -- 6.5 Experimental Results and Discussion -- 7 Conclusion and Future Scope -- References -- A Multi-attribute Decision Approach in Triangular Fuzzy Environment Under TOPSIS Method for All-rounder Cricket Player Selection -- 1 Introduction -- 2 Basic Definitions -- 3 Proposed Fuzzy TOPSIS Algorithm -- 3.1 A Case Study -- 3.2 Sensitivity Analysis -- 4 Conclusion -- References -- Machine Learning Techniques on Disease Detection and Prediction Using the Hepatic and Lipid Profile Panel Data -- 1 Introduction -- 1.1 Liver-related Diseases and Conditions -- 1.2 Lipid Metabolism Disorders and Conditions -- 1.3 Derangement of Enzyme Levels in Diabetes -- 2 Related Works -- 2.1 Analysis of State-of-the-art Techniques in Liver Disease Detection and Prediction Using LFT Data -- 2.2 Existing Machine Learning Techniques in Lipid Metabolism Disorders Detection and Prediction Using LPP Data as a Risk Factor -- 2.3 Literature Review for Occurrence of Abnormal Liver Function Tests in Diabetes Mellitus -- 2.4 Literature Review for Incidence of Abnormal Lipid Levels in Diabetes Mellitus -- 3 Comparative Review of Various Machine Learning Algorithms Using LFT and LPP for Diagnosing and Predicting Diseases -- 3.1 Discussion -- 4 Research Gaps -- 5 Pragmatic Implications and Recommendations -- 6 Contribution -- 7 Conclusion and Future Work -- References -- Performance Analysis of Machine Learning Algorithms for Website Anti-phishing -- 1 Introduction -- 2 Supervised Machine Learning Methods for Anti-phishing -- 3 Decision Tree Algorithm for Anti-phishing -- 4 Random Forest for Anti-phishing -- 5 Support Vector Machine Algorithm for Anti-phishing. 6 Logistic Regression for Anti-phishing -- 7 Results and Discussion -- 8 Conclusion -- References -- Analytical Analysis of Two-Warehouse Inventory Model Using Particle Swarm Optimization -- 1 Introduction -- 2 Literature Reviews -- 3 Presumption and Documentations -- 3.1 Assumption -- 4 Mathematical Formulation of Model and Analysis -- 5 Particle Swarm Optimization -- 6 Numerical Analysis -- 7 Conclusions -- References -- Towards an Enhanced Framework to Facilitate Data Security in Cloud Computing -- 1 Introduction -- 2 Cloud Computing Overview -- 2.1 Cloud Service Models -- 2.2 Cloud Deployment Models -- 3 Data Security Overview -- 3.1 Cloud Computing Security Model -- 3.2 The CIA Triad of Information Security -- 3.3 Cloud Security Alliance -- 4 Cloud Security Frameworks -- 4.1 Service-Collaboration Orientated Security Framework -- 4.2 Personal Cloud Computing Framework -- 4.3 Secure G-Cloud-Based Framework for Government Healthcare Services -- 5 Proposed Cloud Security Framework -- 6 Conclusions and Future Work -- References -- Kinematics and Control of a 3-DOF Industrial Manipulator Robot -- 1 Introduction -- 1.1 Method Description -- References -- Enhanced Energy Efficiency in Wireless Sensor Networks -- 1 Introduction -- 1.1 Wireless Sensor Network -- 1.2 Energy Consumption in WSNs -- 2 Related Works -- 3 Methodology -- 3.1 Improving Energy Efficiency of WSNs -- 3.2 Experimental Setup -- 4 Simulation and Analysis of Results -- 5 Discussion and Conclusion -- 5.1 Conclusion -- References -- Social Structure to Artificial Implementation: Honeybees -- 1 Introduction -- 1.1 Honeybees to Artificial Bees -- 1.2 Standard Artificial Bee Colony Optimization -- 1.3 Standard ABC and Its Different Variants -- 2 Research: Usage of Basic and Improve-ABC -- 2.1 Clustering, Routing, and Deployment in Wireless Ad Hoc Networks -- 2.2 Internet of Things (IoT). 2.3 Task Scheduling in Cloud Computing. |
| Record Nr. | UNINA-9910580152703321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Congress on Intelligent Systems . Volume 1 : proceedings of CIS 2021 / / Mukesh Saraswat [and four others], editors
| Congress on Intelligent Systems . Volume 1 : proceedings of CIS 2021 / / Mukesh Saraswat [and four others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (933 pages) |
| Disciplina | 006.3 |
| Collana | Lecture notes on data engineering and communications technologies |
| Soggetto topico |
Artificial intelligence
Internet of things |
| ISBN | 981-16-9416-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- The Extraction of Automated Vehicles Traffic Accident Factors and Scenarios Using Real-World Data -- 1 Introduction -- 2 Data Collecting and Preprocessing -- 2.1 Collecting AVs Accident Data -- 2.2 Preprocessing AVs Accident Data -- 3 Learning Method and Result -- 3.1 Random Forest -- 3.2 Extraction of AVs Collision Factor Importance -- 4 AVs Traffic Accident Scenarios -- 4.1 Scenario Combinations Based on Collision Situations -- 4.2 AVs Ahead Situation -- 4.3 AVs Rear Situation -- 4.4 Comparison with HVs Traffic Accidents -- 4.5 Summary -- 5 Conclusion and Future Research -- References -- Leaf Disease Identification in Rice Plants Using CNN Model -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Dataset -- 3.2 Pre-processing -- 3.3 Data Normalization -- 3.4 Create a Model -- 3.5 Training and Validation -- 3.6 Test the Model -- 3.7 Convert the Model to .tflite Format -- 3.8 Develop and Deploy Using Mobile App -- 3.9 Test the Mobile App -- 4 Experimental Results -- 5 Experimental Set-Up -- 6 Discussion -- 7 Conclusions -- References -- Twitter Sentiment Analysis Based on Neural Network Techniques -- 1 Introduction -- 2 Literature Survey -- 2.1 Related Work -- 2.2 Opinion Mining -- 2.3 Twitter -- 2.4 Twitter Sentiment Analysis -- 3 Data Description -- 4 Proposed Methodology -- 4.1 Pre-processing -- 4.2 Feature Extraction -- 4.3 Feature Representation -- 4.4 Handling Memory Issues -- 4.5 Implementation -- 5 Classification Techniques Compared -- 5.1 Naïve Bayes -- 5.2 Decision Tree -- 5.3 Support Vector Machine (SVM) -- 5.4 Multilayer Perceptron (MLP) -- 5.5 Recurrent Neural Network (RNN) -- 5.6 Convolutional Neural Network (CNN) -- 6 Results -- 7 Conclusion -- References -- Enhanced Stock Market Prediction Using Hybrid LSTM Ensemble -- 1 Introduction -- 2 Literature Survey.
3 Dataset -- 4 Proposed Methodology -- 4.1 Ensemble -- 4.2 Bagging -- 4.3 Optimizer -- 4.4 Experimental Settings -- 5 Result -- 6 Conclusion -- References -- Classifying Microarray Gene Expression Cancer Data Using Statistical Feature Selection and Machine Learning Methods -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 Feature Selection -- 3.3 Classifiers -- 4 Results and Discussion -- 5 Conclusion -- References -- Pythagorean Fuzzy Information Measure with Application to Multicriteria Decision Making -- 1 Introduction -- 2 Literature Review -- 3 New Pythagorean Fuzzy Information Measure -- 3.1 Properties of θαβ ( A ) -- 3.2 Monotonicity of Proposed Pythagorean Fuzzy Information Measure -- 3.3 Multicriteria Decision Making Based on New Pythagorean Fuzzy Information Measure -- 4 Conclusion -- References -- Developing an Improved Software Architecture Framework for Smart Manufacturing -- 1 Introduction -- 2 Literature Review -- 2.1 Industry 4.0 -- 2.2 Software Architecture 4.0 -- 3 Review of Software Architectures -- 3.1 Requirements of Smart Manufacturing -- 4 Results -- 4.1 Centralized Communication -- 4.2 Decentralised Communication -- 4.3 Combined Communication -- 4.4 Assessment of Software Architectures -- 5 Conclusion and Proposal of Software Architecture -- 5.1 Proposed Segments of the Software Architecture -- 5.2 Divisions of Machine Communication in Software Architecture -- 5.3 Proposed Software Architecture Implementation Mock-Up -- 5.4 Predicted Impact of Software Architecture -- 6 Future Work -- References -- Intelligent Water Drops Algorithm Hand Calculation Using a Mathematical Function -- 1 Introduction to Intelligent Water Drops Algorithm -- 2 Working of Intelligent Water Drops Algorithm -- 2.1 The Pseudo-Code of an IWD-Based Algorithm -- 2.2 Case Study. 3 Convergence of Intelligence Water Drops Optimization Algorithm -- 4 Conclusion -- References -- A Study of Decision Tree Classifier to Predict Learner's Progression -- 1 Introduction -- 2 Related Study -- 3 Material and Method -- 3.1 Data Collection -- 3.2 ID3 Decision Tree Classifier Algorithm Steps -- 3.3 Experimental Work -- 4 Results and Discussion -- 4.1 Example -- 5 Conclusion -- References -- An Overview of Blockchain and IoT in e-Healthcare System -- 1 Introduction -- 2 Blockchain -- 2.1 Blockchain Technology [12] -- 2.2 Blockchain Implementation -- 2.3 Smart Contracts -- 2.4 Consensus -- 3 Combination of Blockchain and Internet of Things -- 3.1 Internet of Things (IoT) -- 4 Applications Internet of Things for Blockchain in e-Healthcare -- 5 Literature Review -- 6 Existing Research on Internet of Things for Blockchain -- 7 Conclusion -- References -- Energy-Efficient ACO-DA Routing Protocol Based on IoEABC-PSO Clustering in WSN -- 1 Introduction -- 2 Related Work -- 2.1 Proposed Approach -- 2.2 Energy Consumption Model -- 2.3 Network Model -- 2.4 Proposed IoEABC-PSO Clustering Algorithm -- 2.5 PSO Algorithm -- 2.6 Algorithm for Proposed IoEABC-PSO Approach -- 2.7 Cluster Head Selection -- 2.8 ACO Algorithm -- 3 Result and Discussion -- 3.1 Network Lifetime -- 3.2 Energy Consumption -- 3.3 Distance Between Node and Base Station -- 3.4 Residual Energy of Nodes -- 4 Conclusion -- References -- Modelling Critical Success Factors for Smart Grid Development in India -- 1 Introduction -- 2 Review of Literature -- 2.1 Smart Grid at a Glance -- 2.2 Overview of Smart Grid Development in India -- 3 Methodology -- 3.1 Identification of Critical Success Factors -- 3.2 Exploratory Factor Analysis (EFA) -- 3.3 Questionnaire Development -- 3.4 Analysis of EFA Result -- 3.5 TISM -- 3.6 TISM Model -- 3.7 Analysis of TISM-Based Model -- 4 Discussion. 5 Conclusions -- Appendix -- References -- Stability Analysis of Emerged Seaside Perforated Quarter Circle Breakwater Using Soft Computing Techniques -- 1 Introduction -- 1.1 General -- 1.2 Quarter Circle Breakwater -- 1.3 ANN -- 1.4 SVM -- 1.5 AdaBoost -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection -- 3.2 Separation of Data -- 3.3 Development of Prediction Models -- 3.4 Evaluation of Model Performance and Selection of the Best Model -- 4 Prediction Models -- 4.1 ANN -- 4.2 SVM -- 4.3 AdaBoost -- 5 Results and Discussion -- 5.1 Artificial Neural Network -- 5.2 Support Vector Machine -- 5.3 AdaBoost -- 6 Conclusions -- References -- A Risk-Budgeted Portfolio Selection Strategy Using Novel Metaheuristic Optimization Approach -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation -- 4 Proposed Strategy -- 4.1 Gradient Search Rule -- 4.2 Local Escaping Operator -- 5 Experimental Results -- 6 Conclusions and Future Scope -- References -- An Optimization Reconfiguration Reactive Power Distribution Network Based on Improved Bat Algorithm -- 1 Introduction -- 2 A Model of Reactive Power Optimization of Distribution Network -- 3 Improving Bat Algorithm -- 3.1 Bats Algorithm -- 3.2 Improving Bat Algorithm -- 3.3 The IBA for the RPODN Problem -- 4 Experimental Results -- 5 Conclusion -- References -- Analyzing a Raga-Based Bollywood Song: A Statistical Approach -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Experimental Results and Discussion -- 4.1 Note Duration -- 4.2 IOI (Interonset Interval) -- 4.3 Unconditional Probability -- 4.4 Chi Square Goodness-of-Fit Test -- 4.5 Conditional Probability -- 4.6 Andrews Plot for Statistical Parameters of Music Phrase -- 5 Conclusion -- References -- Security Prioritized Heterogeneous Earliest Finish Time Workflow Allocation Algorithm for Cloud Computing -- 1 Introduction. 2 Related Work -- 3 Workflow Allocation Problem -- 4 SPHEFT -- 5 Experimental Results -- 6 Conclusions and Future Scope -- References -- Dropout-VGG Based Convolutional Neural Network for Traffic Sign Categorization -- 1 Introduction -- 2 Background and Related Work -- 2.1 Background -- 2.2 Deep Learning in Image Classification -- 3 Experiment -- 3.1 Dataset Description -- 4 Data Preprocessing -- 5 Network Architectures -- 5.1 VGG-16 Model -- 5.2 dVGG Model -- 6 Results and Comparison -- 7 Conclusion -- References -- Internet-Based Healthcare Things Driven Deep Learning Algorithm for Detection and Classification of Cervical Cells -- 1 Introduction -- 2 Literature Survey -- 3 Classification of Cervical Cancer -- 4 Cervical Cancer Screening Methods and Their Characterization -- 4.1 PAP Tests -- 4.2 Visual Inspection -- 4.3 Fluid-Based Cytology -- 4.4 HPV DNA Testing -- 4.5 Antibody -- 5 Approaches Used for Cervical Cytology -- 6 Channel Estimation Parameters -- 6.1 High Resolution Algorithm -- 7 Role of Machine Learning and Internet of Things in Diagnose the Cervical Disorder -- 8 Proposed Solution Strategies for Cervical Cancer Based on Internet of Things and Machine Learning -- 9 Conclusion and Future Scope -- References -- Load Balancing Algorithms in Cloud Computing Environment-An Effective Survey -- 1 Introduction -- 2 Load Balancing in Cloud Computing -- 2.1 Load Balancing -- 2.2 Challenges in Cloud Load Balancing -- 2.3 Types of Load Balancing -- 3 Existing Load Balancing Algorithms: A Review -- 3.1 Examining Static Load Balancing Algorithms -- 3.2 Examining Dynamic Load Balancing Algorithms -- 3.3 Review of Static and Dynamic Load Balancing Algorithms -- 4 Comparative Study of Static and Dynamic Load Balancing Algorithms -- 5 Conclusion -- References. Assessment of the Spatial Variability of Air Pollutant Concentrations at Industrial Background Stations in Malaysia Using Self-organizing Map (SOM). |
| Record Nr. | UNINA-9910580161903321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Science and Applications : Proceedings of ICDSA 2024, Volume 4 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
| Data Science and Applications : Proceedings of ICDSA 2024, Volume 4 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (732 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Data mining Cooperating objects (Computer systems) Internet of things Computational Intelligence Data Mining and Knowledge Discovery Cyber-Physical Systems Internet of Things |
| ISBN | 981-9626-47-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911009146103321 |
Nanda Satyasai Jagannath
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Applications : Proceedings of ICDSA 2024, Volume 3 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
| Data Science and Applications : Proceedings of ICDSA 2024, Volume 3 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (740 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Data mining Cooperating objects (Computer systems) Internet of things Computational Intelligence Data Mining and Knowledge Discovery Cyber-Physical Systems Internet of Things |
| ISBN | 981-9622-99-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analysis and Monitoring of LTE-TDD Traffic -- Object Detection using Deep learning -- WhatsApp Forensic Analysis for Group Chats using Exploratory Data Analysis and Natural Language Processing -- Impact of Social Media on Consumer Buying Decisions from E-Marketplaces -- Exploring various Data Mining Techniques to Predict Heart Disease. |
| Record Nr. | UNINA-9911011770603321 |
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Nanda Satyasai Jagannath
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Applications : Proceedings of ICDSA 2024, Volume 6 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
| Data Science and Applications : Proceedings of ICDSA 2024, Volume 6 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (593 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Data mining Cooperating objects (Computer systems) Internet of things Computational Intelligence Data Mining and Knowledge Discovery Cyber-Physical Systems Internet of Things |
| ISBN | 981-9611-88-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ISLO-Tuned InceptionResNetV2 and 3D U-Net: A Powerful Duo for Automated Renal Cancer Diagnosis -- Entropy Enhanced Bilateral Filter for Denoising Medical Images with Variable Region of Interest -- Diagnosis of Pneumonia from Chest X-Ray Images using Federated Learning -- Product Recommendation Systems: The Digital Transformation to E-commerce -- A Deep Learning-Based Approach for classification of Emotions using Intelligent Facial Expression Recognition -- Performance -- Analysis of Social Media based Large Large-scale Dataset using Machine Learning Clustering Algorithm -- Severity Detection of Fall Armyworm Disease in Sorghum using Deep Learning -- A Case Study on Avicennia Community for Assessing Structural Variation Assessment through Scale Profiling using Laplacian of Gaussian Filter -- Digital Filter Designing: Minimum-order IIR Filter Design with MATLAB -- A Comparative Analysis of Machine Learning Models for Early Detection of Cardiovascular Disease -- Dementia Prediction using Hybrid Capsnet-DNN on OASIS MRI Dataset -- Robust Control of Magnetic Levitation System using Nature-inspired Algorithm based FOPID Controller -- Recognizing Mangrove Dynamics for Assessing Cyclone Impact on Henry Island using Sentinel Data -- Bi-Modal Classification For Emotion Intelligence using Peripheral Signals. |
| Record Nr. | UNINA-9911009338203321 |
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Nanda Satyasai Jagannath
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Applications : Proceedings of ICDSA 2024, Volume 1 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
| Data Science and Applications : Proceedings of ICDSA 2024, Volume 1 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (656 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Data mining Cooperating objects (Computer systems) Internet of things Computational Intelligence Data Mining and Knowledge Discovery Cyber-Physical Systems Internet of Things |
| ISBN | 981-9627-24-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Brain Tumor Classification using Gabor Transform and ANN Classifier -- Leveraging Sentiment Analysis for Enhanced Educational Video Recommendations on YouTube-Easyfy -- V2SL: The speech to sign language translator -- Soft Computing Techniques Approaches in Battery Management System: A Review -- Survey on the Pivotal Role of Artificial Intelligence and Machine Learning in Shaping the Future of 6th Generation (6G) Communications. |
| Record Nr. | UNINA-9911016078703321 |
|
Nanda Satyasai Jagannath
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Applications : Proceedings of ICDSA 2024, Volume 2 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
| Data Science and Applications : Proceedings of ICDSA 2024, Volume 2 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (686 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Data mining Cooperating objects (Computer systems) Internet of things Computational Intelligence Data Mining and Knowledge Discovery Cyber-Physical Systems Internet of Things |
| ISBN | 981-9621-79-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Impact on Sustainable Factors in Plywood Industry: A soft computing approach -- Exploring Deep Learning Approaches in Medical Image Processing for Lung Cancer Cell Detection: A Comprehensive Review -- Enhancing Fake News Detection: A Hybrid Approach with LSTM and Convolutional Neural Networks -- Detecting Imbalanced Network Traffic Intrusions using the Long Short-Term Memory (LSTM) Algorithm -- Classification and Recommendation Methods for Sleep Apnea Syndrome. |
| Record Nr. | UNINA-9911011654403321 |
|
Nanda Satyasai Jagannath
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Science and Applications : Proceedings of ICDSA 2023, Volume 1 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
| Data Science and Applications : Proceedings of ICDSA 2023, Volume 1 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (569 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Data mining Internet of things Computational Intelligence Artificial Intelligence Data Mining and Knowledge Discovery Internet of Things |
| ISBN |
9789819978625
9819978629 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Climate Change Parameter Dataset (CCPD): A Benchmark Dataset for Climate Change parameters in Jammu and Kashmir -- Brain Tumor Classification Using Deep Learning Techniques -- Machine learning Based Hardware Trojans Detection in Integrated Circuits: A Systematic Review -- Impact of Techno Stress on Employee Retention and Employee Turnover -- Single image dehazing using DCP with varying scattering constant -- Detecting IoT malware using federated learning -- A Deep learning approach for BGP security Improvement -- Wireless Sensor Network Protocols in Underwater Communication -- A Genetic Algorithm Approach for Portfolio Optimization -- Security Issues and Solutions in Post Quantum Authenticated Key Exchange for Mobile Devices -- Towards Decentralized Fog Computing: A comprehensive review of Models, Architectures, and Services -- Analysis of various MAC protocol 802.11 AX -- Monkeypox Disease Classification Using HOG-SVM Method -- A Deep Learning Model for Automatic Recognition of Facial Expressionsusing Haar Cascade Images -- Sensing Performance Analysis using Choatic Signal based SCMA Codebook For Secure Cognitive Communication System in 5G -- Identification of severity level for diabetic retinopathy detection using neural networks -- Metaheuristic optimized BiLSTM univariate time-series forecasting of gold prices -- Improvised Neural Machine Translation Model for Hinglish to English -- Recording of Class Attendance using DL Based Face Recognition Method -- Machine Learning Enabled Hairstyle Recommender System using Multilayer Perceptron -- Automated Health Insurance Management Framework with Intelligent Fraud Detection, Premium Prediction and Risk Prediction -- Responsible Artificial Intelligence for Music Recommendation -- A robot mapping technique for indoor environments -- A Novel Approach to Docking System for Autonomous Unmanned Aerial Vehicles -- Predicting Brain Tumor Survival using MRI Images and Machine Learning Techniques -- Intelligent Approaches of Clinical and Nonclinical Type-1 Diabetes Data Analysis -- A Learning-Based Approach For Wafer Defect Detection In Production Quality Control -- Setting Importance of Features through Means and Majority of Outcomes of Machine Learning Algorithms: An Empirical Analysis -- A Study of Simulated Working of A* and RRT* for Cargo Ship in ASVs -- ESFMS: Design of an Ensemble Sentiment analysis model for Feedback evaluation via Multimodal feature Selection process -- Towards Transfer Learning based Human Anomaly Detection in Videos -- Speech Signal Analysis Using Hybrid Feature Extraction Technique for Parkinson’s Disease Prediction -- Dataset Construction and Evaluation for Aspect-Opinion Extraction in Bangla Fine-grained Sentiment Analysis -- Improving Speaker Gender Detection by Combining Pitch and SDC -- Sentiment Analysis of Covid-19 Lockdown in India -- Applications of Smart Agriculture and an Automated Irrigation System Based on the Internet of Things -- Sensitivity of stock pricing to the optimistic and pessimistic sentimentof social media: A shreds of evidence from Nifty Indices -- Revolutionizing Cardiac Care: A Comprehensive Review of ECG-based Arrhythmia Prediction Techniques -- Yoga Posture Estimation and Correction using Mediapipe & Deep Learning Models -- Random Modulus Decomposition for Color Images Optical Asymmetric Cryptosystem Using Gyrator Domain -- A Single Line 8T SRAM Bit Cell with Robust Read, Hold Stability and Low Power -- Improving Chronic Kidney Disease Prediction using ANN with Normalization. |
| Record Nr. | UNINA-9910838288103321 |
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Nanda Satyasai Jagannath
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Applications : Proceedings of ICDSA 2023, Volume 3 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
| Data Science and Applications : Proceedings of ICDSA 2023, Volume 3 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (596 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Data mining Internet of things Computational Intelligence Artificial Intelligence Data Mining and Knowledge Discovery Internet of Things |
| ISBN |
9789819978175
9819978173 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PV Array System Stimulation Affected By Variability in Temperature & Location -- A Real-Time Cataract Detection And Diagnosis Through Web-Based Imaging Analysis -- A Survey of Decentralized Digital Voting System using Blockchain Technology -- Multiple Infectious Disease Diagnosis and Detection using Advanced CNN Models -- Development of Indoor Autonomous Mobile BOT for Static Obstacle Avoidance -- Forest Fire Detection and Prediction using HSV and MLP -- An Insight into recent advances in the Intelligent Controller Methods -- Some Observations on Social Media Mining tools for Health Applications -- Smart Contact Lenses for Monitoring Patient’s Vision : A Generic Review -- Liver lesion detection from MR T1 In-phase and Out-phase Fused Images and CT Images using YOLOv8 -- Analyzing Blockchain Data to Detect Bitcoin Addresses Involved in Illicit Activities using Anomaly Detection -- Comparing Spring Boot and ReactJS with other Web Development Frameworks: A Study -- Performance Analysis of InceptionV3, VGG16, Resnet50 models for crevices recognition on surfaces -- A Machine Learning Approach for Moderating Toxic Hinglish Comments of YouTube Videos -- Instant Accident Detection and Emergency Alert System -- A Novel Approach to Video Summarization using AI-GPT and Speech Recognition -- Classification of Underwater Fish Species using Custom-Built Deep Learning Architectures -- Deep Learning Based Approach for Plant Disease Classification -- Prediction of liver disease using Machine Learning Algorithms -- Analysis of Detection of Glioma by Segmentation of Brain Tumor MRI images using Deep Learning -- CloneAI : A Deep Learning Based Approach for Cloned Voice Detection -- Analyzing the Performance and Wireless Network Capacity of NOMA: Study of the Impact of OMA and NOMA on 5G Network -- Malarıa Parasıte Detectıon Usıng Deep Neural Networks -- IoT-based Agriculture: Identification and Classification of Apple Quality Using Deep Learning -- Plant Disease Detection on Edge Devices.-Analyze the Quality of Wine based on Machine Learning Approach -- Safeguarding financial transaction with Cryptocurrency -- Analysis and control of Dual Active Bridge Converter for Vehicle to load application in electric vehicle -- Efficient Plant Leaf Disease Detection using a Customized Convolutional Neural Network -- Analyzing and Predicting Temperature Trends in a Metropolitan Area Using Time Series Analysis and Machine Learning Techniques -- An Explainable AI (XAI) Based Framework for Detecting Diseases in Paddy Crops -- De-noising Tail Entity Selection in Automatic Question Generation with Fine-tuned T5 Model -- Hybridization of Artificial Gravity Cuckoo Search Algorithm with XGboost- Particle Swarm Optimized Neural Networks for Cardiac Feature Selection -- Urdu Sentiment Analysis: A Review -- Fir Filter Design Using Distributed Arithmetic With Lookup Tables (LUTs) -- Classification of Brain Tumour disease with Transfer learning using modified pre-trained deep convolutional neural network -- Bayesian Optimized Traffic Sign Recognition on Social Media Data Using Deep Learning -- Enhancing the Performance of PSO Algorithm for Clustering High dimensional data using Autoencoders -- Predicting Covid-19 Outbreaks: Leveraging Machine Learning and Deep Learning Models for Trend Analysis -- Stock Price Prediction using Sentiment Analysis on Financial News -- A modified self organizing map with mean-shift clustering for seismicity analysis of earthquake catalogs -- Adopting Blockchain Technology for Smart Farming and Food Security. |
| Record Nr. | UNINA-9910805579003321 |
|
Nanda Satyasai Jagannath
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Science and Applications : Proceedings of ICDSA 2024, Volume 5 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat
| Data Science and Applications : Proceedings of ICDSA 2024, Volume 5 / / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi, Mukesh Saraswat |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XVIII, 537 p. 217 illus., 186 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Data mining Cooperating objects (Computer systems) Internet of things Computational Intelligence Data Mining and Knowledge Discovery Cyber-Physical Systems Internet of Things |
| ISBN | 981-9611-85-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | SMOTE-Enhanced Machine Learning Techniques for Credit Card Fraud Detection -- Comparative Study of Clustering Algorithms for Customer Segmentation -- Persistence and Fixed Autoregression Models for Time-Series Prediction of Net Asset Value (NAV) of Savings Fund -- Emoji-RoBERTa: A Contextual Emoji Representation for Hate Speech Detection -- Software Bugs Classification using SVM, RF, DT Algorithms -- Ascend.AI - Building Confidence Through Technology: A Technical Exploration of Facial Expression, Tone and Pitch Analysis with Chatbot Guidance -- Transformer Generative AI Model for Enhanced Molecular Property Prediction -- Compaction and Restoration of the S-transform based on N-fold Redundancy -- Deep Learning-based Electric Vehicle Charging Load Prediction: A Comparative Study -- A Comparative Analysis of Quantum Programming Bug Detection Tools -- DWMS-HGR: 1D CNN for Hand Gesture Recognition on Normalized sEMG Signals with Sliding Window -- Secured File-Sharing: Hybrid Encryption and Network Theory for Enhanced Privacy -- Kernel Density Estimation based Clustering for Visual Walking Stick Detection in Human-Robot Coexisting Environments -- Optimizing Battery Efficiency: Design and Implementation of a Fuzzy Logic based Controller for Hybrid Energy Storage System in Electric Vehicles. |
| Record Nr. | UNINA-9911003588703321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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