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Artificial Intelligence : Second International Conference, SLAAI-ICAI 2018, Moratuwa, Sri Lanka, December 20, 2018, Revised Selected Papers / / edited by Jude Hemanth, Thushari Silva, Asoka Karunananda
| Artificial Intelligence : Second International Conference, SLAAI-ICAI 2018, Moratuwa, Sri Lanka, December 20, 2018, Revised Selected Papers / / edited by Jude Hemanth, Thushari Silva, Asoka Karunananda |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (xi, 335 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Optical data processing Application software Artificial Intelligence Image Processing and Computer Vision Information Systems Applications (incl. Internet) |
| ISBN | 981-13-9129-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intelligence systems -- Neural Networks -- Game Theory -- Ontology Engineering -- Natural Language processing -- Agent based System -- Signal and Image processing. |
| Record Nr. | UNINA-9910350217803321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Biologically Rationalized Computing Techniques For Image Processing Applications / / edited by Jude Hemanth, Valentina Emilia Balas
| Biologically Rationalized Computing Techniques For Image Processing Applications / / edited by Jude Hemanth, Valentina Emilia Balas |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (341 pages) : illustrations, tables |
| Disciplina | 621.367 |
| Collana | Lecture Notes in Computational Vision and Biomechanics |
| Soggetto topico |
Signal processing
Image processing Speech processing systems Computational intelligence Artificial intelligence Biomedical engineering Signal, Image and Speech Processing Computational Intelligence Artificial Intelligence Biomedical Engineering and Bioengineering |
| ISBN | 3-319-61316-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artifical Bee Colony Algorithm for Classification of Semi-Urban LU/LC Features Using High Resolution Satellite Data.- Saliency Based Image Compression Using Walsh–Hadamard Transform (WHT).- Object trajectory prediction with scarce environment information.- A Two-fold Subspace Learning Based Feature Fusion Strategy for Classification of EMG and EMG spectrogram Images.- Automatic Detection of Brain Strokes in CT Images using Soft Computing Techniques.- A survey on Intelligence based biometric techniques for authentication applications.- Spatial and Spectral Quality Assessment of Fused Hyperspectral and Multispectral Data.- Deep Learning Techniques for Breast Cancer Detection using Medical Images Analysis.- A Tour towards the development of various Techniques for Paralysis Detection using Image Processing.- Chlorella - Algae Image Analysis using Artificial Neural Network and Deep Learning.- Review on Image Enhancement Techniques using Biologically Inspired Artificial Bee Colony Algorithms and its variants.- Certain Applications and Case Studies of Evolutionary Computing Techniques for Image Processing -- Histopathological Image Analysis for the Grade Identification of Tumor -- Super Resolution via Particle Swarm Optimization Variants. . |
| Record Nr. | UNINA-9910299918403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Visualization and Knowledge Engineering : Spotting Data Points with Artificial Intelligence / / edited by Jude Hemanth, Madhulika Bhatia, Oana Geman
| Data Visualization and Knowledge Engineering : Spotting Data Points with Artificial Intelligence / / edited by Jude Hemanth, Madhulika Bhatia, Oana Geman |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (321 pages) |
| Disciplina | 001.4226 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Data mining Computational Intelligence Artificial Intelligence Data Mining and Knowledge Discovery |
| ISBN | 3-030-25797-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cross Projects Defect Prediction Modeling -- Recommendation Systems for Interactive Multimedia Entertainment -- Image Collection Summarization: Past, Present and Future -- Semantic Web and Data Visualization -- Analysis and Visualization of User Navigations on Web -- Research Trends for Named Entity Recognition in Hindi Language -- Data Visualization Techniques, Model and Taxonomy -- Prevalence of Visualization Techniques in Data Mining -- Relevant Subsection Retrieval for Law Domain Question Answer System -- Brain Tumor Segmentation Using OTSU Embedded Adaptive Particle Swarm Optimization Method and Convolutional Neural Network -- Challenges and Responses Towards Sustainable Future through Machine Learning and Deep learning -- A Deep Dive into Supervised Extractive and Abstractive Summarization from Text. |
| Record Nr. | UNINA-9910484819803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Explainable Artificial Intelligence in Medical Decision Support Systems
| Explainable Artificial Intelligence in Medical Decision Support Systems |
| Autore | Imoize Agbotiname Lucky |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Jefferson : , : Institution of Engineering & Technology, , 2023 |
| Descrizione fisica | 1 online resource (490 pages) |
| Disciplina | 610.285 |
| Altri autori (Persone) |
HemanthJude
DoDinh-Thuan SurSamarendra Nath |
| Collana | Healthcare Technologies |
| Soggetto topico |
Medical informatics
Artificial intelligence - Medical applications |
| ISBN |
1-83724-479-0
1-5231-5351-2 1-83953-621-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Explainable artificial intelligence (XAI) in medical decision systems (MDSSs): healthcare systems perspective -- Chapter 2: Explainable artificial intelligence (XAI) in medical decision support systems (MDSS): applicability, prospects, legal implications, and challenges -- Chapter 3: Explainable Artificial Intelligence-based framework for medical decision support systems -- Chapter 4: Prototype interface for detecting mental fatigue with EEG and XAI frameworks in Industry 4.0 -- Chapter 5: XAI for medical image segmentation in medical decision support systems -- Chapter 6: XAI robot-assisted surgeries in future medical decision support systems -- Chapter 7: Prediction of erythemato squamous-disease using ensemble learning framework -- Chapter 8: Security-based explainable artificial intelligence (XAI) in healthcare system -- Chapter 9: Explainable dimensionality reduction model with deep learning for diagnosing hypertensive retinopathy -- Chapter 10: Understanding cancer patients with diagnostically influential factors using high-dimensional data embedding -- Chapter 11: Explainable neural networks in diabetes mellitus prediction -- Chapter 12: A KNN and ANN model for predicting heart diseases -- Chapter 13: Artificial Intelligence-enabled Internet of Medical Things for COVID-19 pandemic data management -- Chapter 14: A deep neural network for the identification of lead molecules in antibiotics discovery -- Chapter 15: Statistical test with differential privacy for medical decision support systems -- Chapter 16: Automated decision support system for diagnosing sleep diseases using machine intelligence techniques -- Chapter 17: XAI methods for precision medicine in medical decision support systems -- Chapter 18: The psychology of explanation in medical decision support systems. |
| Record Nr. | UNINA-9911004751603321 |
Imoize Agbotiname Lucky
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| Jefferson : , : Institution of Engineering & Technology, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Futuristic Computational Systems and Advanced Engineering for the Society : Proceedings of the 6th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2024, Volume 2 / / edited by Jude Hemanth, Utku Kose, Nabi Ibadov, Ismail Serkan Uncu, Hamit Armagan
| Futuristic Computational Systems and Advanced Engineering for the Society : Proceedings of the 6th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2024, Volume 2 / / edited by Jude Hemanth, Utku Kose, Nabi Ibadov, Ismail Serkan Uncu, Hamit Armagan |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XXII, 207 p. 60 illus., 45 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Engineering Cyber-Physical Systems and Critical Infrastructures |
| Soggetto topico |
Computational intelligence
Artificial intelligence Engineering - Data processing Computational Intelligence Artificial Intelligence Data Engineering |
| ISBN | 3-031-94600-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Optimization of Language Models for Product Feed Enrichment: LM-PFE -- Deep Learning Algorithms for Automatic Text Summarization in Academic Studies -- Multichannel Convolutional Networks for Classification and Localization of Construction and Demolition Waste -- Optimizing Hybrid CNN-RNN-Transformer Models for Multiclass Classification Tasks -- Artificial Neural Networks for Predicting Asphalt Fatigue Life: Investigating Material and Loading Parameters with a Comprehensive Dataset and Addressing Model Intricacies -- Cyber Security and Artificial Intelligence in Military Aviation: Threats and Advancements -- Keyword Extractıon from Turkish Text Using Natural Language Processing Techniques -- Semi-Structured Data Streaming and Anomaly Detection in a Big Data Environment with Spark -- Integration Deep Learning Models into Personalized Search -- Examining the audience comments of the BBC Learning English channel videos with LDA Topic Analysis -- Albanian Crossword Generation with Artificial Intelligence -- A Deep Learning-Based Reinforcement Algorithm for the Diagnosis of Glioma -- Cryptography with Artificial Intelligence: An Overview -- IoT Sensors Based Association Analysis Between the Number of Detections and the Progress of Construction Works -- A Question Answering System Using Deep Learning Techniques in The Education Domain. |
| Record Nr. | UNINA-9911021146403321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent data communication technologies and Internet of things : proceedings of ICICI 2020 / / Jude Hemanth, Robert Bestak, Joy Iong-Zong Chen, editors
| Intelligent data communication technologies and Internet of things : proceedings of ICICI 2020 / / Jude Hemanth, Robert Bestak, Joy Iong-Zong Chen, editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XIX, 891 p. 443 illus., 302 illus. in color.) |
| Disciplina | 004 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Information technology
Internet of things |
| ISBN | 981-15-9509-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Semi-supervised Learning Approach for Complex Information Networks -- Preventing Fake Accounts on Social Media using Face Recognition based on Convolutional Neural Network -- Feature-wise Opinion Summarization of Consumer Reviews using Domain Ontology -- Robust Automated Machine Learning (AutoML) System for Early Stage Hepatic Disease Detection -- Analytical Classification of Sybil Attack Detection Techniques -- Smart and Autonomous Door Unlocking System Using Face Detection and Recognition -- Early Detection of Diabetes by Iris Image Analysis -- A New Avenue to the Reciprocity Axioms of Multidimensional DHT through those of the Multidimensional DFT -- Automated Surveillance Security System using Facial Recognition for Homes and Offices. |
| Record Nr. | UNINA-9910483496303321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018 / / edited by Jude Hemanth, Xavier Fernando, Pavel Lafata, Zubair Baig
| International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018 / / edited by Jude Hemanth, Xavier Fernando, Pavel Lafata, Zubair Baig |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (1,636 pages) |
| Disciplina |
006.3
004.678 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-030-03146-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Security Effect on AES in Terms of Avalanche Effect by using Alternate S-Box -- Enhanced Portable Customer Experience Using Community Computation in Offline Retail -- Cluster-Based Wireless Sensor Networks Using Ant Colony Optimization -- A Study on Cross-Layer TCP Performance in Wireless Ad Hoc Network -- Hyper Elliptic Curve based Homomorphic Encryption Scheme for Cloud Data Security -- Support Vector Neural Network and Principal Component Analysis for Fault Diagnosis of Analog Circuits -- Performance Evaluation of Symmetric Block Cipher RC6 with ECB and CBC Operation Modes -- An Improved Block-based Motion Estimation Algorithm for Compressing a Video -- Hierarchical View on Detection of Attacks in Closed Loop Control Systems -- Facial Expression Recognition System for Visually Impaired -- A Systematic Mapping Study of Content Based Filtering Recommender Systems -- Named Entity Recognition in Marathi Language -- Self Configurable Air Pollution Monitoring System Using IoT and Data Mining Techniques -- Novel Defence Scheme for Phishing Attacks in Mobile Phones -- New Automated Vehicle Crash Avoidance System Based on Dipping and RF Techniques. |
| Record Nr. | UNINA-9910484092303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Nature Inspired Optimization Techniques for Image Processing Applications / / edited by Jude Hemanth, Valentina Emilia Balas
| Nature Inspired Optimization Techniques for Image Processing Applications / / edited by Jude Hemanth, Valentina Emilia Balas |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (305 pages) |
| Disciplina | 006.38 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Signal processing
Image processing Speech processing systems Optical data processing Mathematical optimization Signal, Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics Optimization |
| ISBN | 3-319-96002-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Firefly Optimization Based Improved Fuzzy Clustering for CT/MR Image Segmentation -- Bat Optimization based Vector Quantization Algorithm for Medical Image Compression -- An Assertive Framework for Automatic Tamil Sign Language Recognition System using Computational Intelligence -- Improved detection of steganographic algorithms in spatial LSB stego images using hybrid GRASP-BGWO optimisation -- Nature inspired optimization techniques for Image Processing - A short review -- Application of Ant Colony Optimization for Enhancement of Visual Cryptography Images -- Plant phenotyping through Image analysis using nature inspired optimization techniques -- Cuckoo Optimization Algorithm (COA) for image processing -- Artificial Bee Colony Based Feature Selection for Automatic Skin Disease Identification of Mango Fruit -- Analyzing the Effect of Optimization Strategies in Deep Convolutional Neural Network -- A Novel Underwater Image Enhancement Approach with Wavelet Transform Supported by Differential Evolution Algorithm -- Feature Selection in Fetal Biometrics for Abnormality Detection in Ultrasound Images. |
| Record Nr. | UNINA-9910337657503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Trends in data engineering methods for intelligent systems : proceedings of the international conference on artificial intelligence and applied mathematics in engineering (ICAIAME 2020) / / Jude Hemanth [and three others], editors
| Trends in data engineering methods for intelligent systems : proceedings of the international conference on artificial intelligence and applied mathematics in engineering (ICAIAME 2020) / / Jude Hemanth [and three others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2021] |
| Descrizione fisica | 1 online resource (797 pages) |
| Disciplina | 620.00151 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Engineering - Data processing
Computational intelligence |
| ISBN | 3-030-79357-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Foreword -- Preface -- Acknowledgement -- International Conference on Artificial Intelligence and Applied Mathematics in Engineering 2020 -- Briefly About -- Scope/Topics -- Honorary Chairs -- General Chair -- Conference Chairs -- Organizing Committee -- Secretary -- Accommodation/Venue Desk -- Travel/Transportation -- Web/Design/Conference Sessions -- Scientific Committee -- Keynote Speaks -- Contents -- Prediction of Liver Cancer by Artificial Neural Network -- 1 Introduction -- 2 Related Works -- 3 Metodology -- 3.1 Artificial Neural Network -- 3.2 Training-Based Sampling -- 4 Experimental Results -- 5 Discussion and Conclusions -- References -- Remarks on the Limit-Circle Classification of Conformable Fractional Sturm-Liouville Operators -- 1 Introduction -- 2 Conformable Fractional Calculus -- 3 Main Result -- References -- Improving Search Relevance with Word Embedding Based Clusters -- 1 Introduction -- 2 Similar Studies -- 3 System Details -- 3.1 Processing of Data -- 3.2 Training of Word Embedding Models -- 3.3 Clustering -- 3.4 Elasticsearch -- 4 Conclusion -- References -- Predicting Suicide Risk in Turkey Using Machine Learning -- 1 Introduction -- 2 Material and Method -- 2.1 Data Representation -- 2.2 Normalization (z-Score) -- 2.3 Linear Regression (LR) -- 2.4 Measuring Analysis -- 3 Experimental Results -- 4 Conclusions, Suggestions and Future Work -- References -- Building an Open Source Big Data Platform Based on Milis Linux -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 MILIS Linux Building System -- 3.2 Components of the Milis Big Data Platform -- 4 Conclusion -- References -- Machine Learning for the Diagnosis of Chronic Obstructive Pulmonary Disease and Photoplethysmography Signal - Based Minimum Diagnosis Time Detection -- 1 Introduction -- 2 Material and Method -- 2.1 Collection of Data.
2.2 Signal Pre-processing -- 2.3 Feature Extraction -- 2.4 Feature Selection -- 2.5 The Decision Trees -- 2.6 Performance Evaluation Criteria -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Diagnosis of Parkinson's Disease with Acoustic Sounds by Rule Based Model -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Set -- 2.2 Data Preprocessing -- 2.3 Feature Selection Algorithm -- 2.4 Classification -- 2.5 Performance Evaluation Criteria -- 3 Results -- 4 Discussion and Conclusion -- 5 Future Work -- References -- Text Classification Models for CRM Support Tickets -- 1 Introduction -- 2 Similar Works -- 3 System Details -- References -- SMOTE-Text: A Modified SMOTE for Turkish Text Classification -- 1 Introduction -- 2 Machine Learning -- 2.1 Text Representation for Classification -- 2.2 Machine Learning Techniques for Text Classification -- 3 Imbalanced Datasets in Machine Learning -- 3.1 Preparing Text Data for Machine Learning for Imbalanced Datasets -- 3.2 SMOTE Application of Synthetic Minority Oversampling Technique (SMOTe) -- 3.3 SMOTE-Text -- 4 Experiment -- 4.1 Data Collection and Preparation -- 4.2 Experimental Results and Evaluation -- 5 Conclusion and Suggestions -- References -- Development of Face Recognition System by Using Deep Learning and Face-Net Algorithm in the Operations Processes -- 1 Introduction -- 2 Face Recognition -- 3 Method -- 3.1 Deep Learning -- 3.2 Convolutional Neural Network -- 3.3 Face-Net -- 4 Study and Results and Discussion -- 5 Conclusions and Future Works -- References -- Mobile Assisted Travel Planning Software: The Case of Burdur -- 1 Introduction -- 2 Travelling Salesman Problem -- 3 Findings (Study) -- 4 Conclusions -- References -- Text-Based Fake News Detection via Machine Learning -- 1 Introduction -- 2 Relevant Literature -- 3 Model -- 3.1 Data and Methodology. 3.2 Feature Selection -- 3.3 Recurrent Neural Networks (RNN) -- 4 Experimental Results and Discussion -- 4.1 Exploratory Data Analysis -- 5 Conclusion and Future Work -- References -- A Recommendation System for Article Submission for Researchers -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Result and Discussion -- 5 Conclusion -- References -- Optimal Power Flow Using Manta Ray Foraging Optimization -- 1 Introduction -- 2 OPF Formulation -- 2.1 Objective Function -- 2.2 Equality Constraints -- 2.3 Inequality Constraints -- 3 Manta Ray Foraging Optimization -- 3.1 Chain Foraging -- 3.2 Cyclone Foraging -- 3.3 Somersault Foraging -- 4 Simulation Results -- 4.1 Case 1: Classical OPF Problem -- 4.2 Case 2: OPF Problem Considering POZs -- 5 Conclusion -- References -- Optimal Coordination of Directional Overcurrent Relays Using Artificial Ecosystem-Based Optimization -- 1 Introduction -- 2 Formulation of Problem -- 2.1 Objective Function -- 2.2 Constraints -- 3 Artificial Ecosystem-Based Optimization Algorithm -- 3.1 Production -- 3.2 Consumption -- 3.3 Decomposition -- 4 Simulation Results -- 4.1 Experimental Settings -- 4.2 Model I: IEEE-3 Bus Test System -- 4.3 Model II: IEEE-4 Bus Test System -- 5 Conclusion -- References -- Performance Evaluation of Machine Learning Techniques on Flight Delay Prediction -- 1 Introduction -- 2 Literature Review on Machine Learning and Flight Delays -- 3 Methods -- 3.1 Artificial Neural Network -- 3.2 Extreme Gradient Boosting -- 3.3 Logistic Regression -- 3.4 Random Forest -- 3.5 Cat Boost -- 3.6 Support Vector Machines (SVM) -- 4 Implementation of Machine Learning Methods on Flight Data -- 5 Conclusions and Future Work -- References -- Machine Breakdown Prediction with Machine Learning -- 1 Introduction -- 2 Predictive Maintenance -- 3 Predictive Maintenance with Artificial Intelligence -- 4 Application. 5 Conclusions and Future Work -- References -- Prevention of Electromagnetic Impurities by Electromagnetics Intelligence -- 1 Introduction -- 2 Materials and Methods -- 3 Discussions and Suggestions -- 4 Conclusion -- References -- The Effect of Auscultation Areas on Nonlinear Classifiers in Computerized Analysis of Chronic Obstructive Pulmonary Disease -- 1 Introduction -- 2 Materials and Methods -- 2.1 Database -- 2.2 Empirical Wavelet Transform -- 2.3 Support Vector Machine -- 2.4 Multilayer Perceptron -- 3 Experimental Results -- 4 Conclusion -- References -- Least Square Support Vector Machine for Interictal Detection Based on EEG of Epilepsy Patients at Airlangga University Hospital Surabaya-Indonesia -- 1 Introduction -- 2 Theoretical Basis -- 2.1 Discrete Wavelet Transform (DWT) -- 2.2 Support Vector Machine (SVM) -- 2.3 Least Square Support Vector Machine (LS SVM) -- 2.4 Evaluation of Classification Performance -- 3 Methodology -- 4 Result and Suggestions -- 4.1 Signal Characteristics -- 4.2 Sub-band EEG Signal -- 4.3 Signal Feature Extraction -- 4.4 Classification -- 5 Conclusion -- References -- Generating Classified Ad Product Image Titles with Image Captioning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Model Architecture -- 4 Experiments -- 4.1 Data Preprocessing -- 4.2 Experimental Results -- 5 Conclusion -- References -- Effectiveness of Genetic Algorithm in the Solution of Multidisciplinary Conference Scheduling Problem -- 1 Introduction -- 2 Problem Definition -- 2.1 Using Genetic Algorithm in Constricted Optimization Problems -- 2.2 Problem Constraints -- 2.3 Genetic Algorithm -- 2.4 Crossover -- 2.5 Mutation -- 2.6 Penalty Function and Fitness Value -- 3 Assessment of the Results -- 4 Conclusions and Suggestions -- References -- Analyze Performance of Embedded Systems with Machine Learning Algorithms. 1 Introduction -- 2 Used Algorithms -- 2.1 Unsupervised Learning Algorithm -- 2.2 Supervised Learning Algorithms -- 3 Application of Algorithms -- 3.1 Importing Data and Visualizing the Data Set -- 3.2 Train and Test Data -- 3.3 Classification/Prediction -- 4 Experiments -- 5 Conclusion -- References -- Classification Performance Evaluation on Diagnosis of Breast Cancer -- 1 Introduction -- 2 Method -- 2.1 Datasets -- 2.2 Classification Algorithms -- 2.3 Performance Criteria -- 3 Experimental Results -- 4 Conclusion and Suggestions -- References -- Effective Factor Detection in Crowdfunding Systems -- 1 Introduction -- 2 Material and Method -- 3 Application -- 4 Conclusion and Suggestions -- References -- Predictive Analysis of the Cryptocurrencies' Movement Direction Using Machine Learning Methods -- 1 Introduction -- 2 Material and Method -- 2.1 Linear Regression -- 2.2 Polynomial Regression -- 2.3 Support Vector Regression -- 2.4 Decision Tree Regression -- 2.5 Random Forest Regression -- 3 Statistical Evaluation Criteria of Fitting Model -- 3.1 R2 Method -- 3.2 Root Mean Square Error (RMSE) -- 3.3 Data Set -- 4 Results and Discussion -- 5 Conclusions and Suggestions -- References -- Software Quality Prediction: An Investigation Based on Artificial Intelligence Techniques for Object-Oriented Applications -- 1 Introduction -- 2 Related Works -- 3 Software Metrics and Dataset -- 3.1 Data Collection -- 3.2 Software Metrics -- 4 Machine Learning Techniques and Experiments -- 4.1 Decision Trees -- 4.2 Random Forest -- 4.3 Bayesian Classification -- 4.4 Rule-Based Classification -- 4.5 SVM - SMO, LibSVM, LibLINEAR -- 4.6 Logistic Regression -- 4.7 Bagging and Boosting -- 4.8 Artificial Neural Networks -- 4.9 Nearest Neighbors -- 5 Result and Evaluation -- 5.1 Performance Evaluation Results -- 6 Conclusion and Future Work -- References. A Multi Source Graph-Based Hybrid Recommendation Algorithm. |
| Record Nr. | UNINA-9910490026403321 |
| Cham, Switzerland : , : Springer International Publishing, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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