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Machine intelligence and soft computing : proceedings of ICMISC 2021 / / edited by Debnath Bhattacharyya, Sanjoy Kumar Saha, Philippe Fournier-Viger
| Machine intelligence and soft computing : proceedings of ICMISC 2021 / / edited by Debnath Bhattacharyya, Sanjoy Kumar Saha, Philippe Fournier-Viger |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (198 pages) |
| Disciplina | 060 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico | Artificial intelligence |
| ISBN |
981-16-8363-8
981-16-8364-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Conference Committee Members -- Preface -- Contents -- About the Editors -- Hybrid Fruit Fly Optimization for EHR Applications in Cloud Environments for Load Balancing Optimization -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Technology Requirements -- 3.2 Implementation -- 4 Results -- 5 Conclusion -- References -- Distributed Machine Learning-An Intuitive Approach -- 1 Introduction -- 2 Challenges with Machine Learning Computing -- 3 What to Distribute? -- 4 How to Distribute? -- 5 Challenges in Distribution -- 6 Case Study: Support Vector Machine -- 7 Conclusions -- References -- Prediction of Wall Street Through AI Approach -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Yahoo Finance -- 3.2 Dataset Input -- 3.3 Data Visualization -- 3.4 Algorithms Used for Prediction -- 3.5 Performance Evaluation -- 4 Conclusion -- References -- A Hybrid Intelligent Approach for Early Identification of Different Diseases in Plants -- 1 Introduction -- 1.1 Types of Diseases in Classification -- 2 Related Work -- 3 Proposed Work -- 4 Feature Extraction -- 5 Role of Clustering and Classification -- 6 Algorithm -- 7 Results and Discussion -- 8 Conclusion -- References -- Analyzing Comments on Social Media with XG Boost Mechanism -- 1 Introduction -- 1.1 Sentiment Analysis Techniques -- 1.2 Lexicon Based Approach -- 1.3 Comparison -- 2 Literature Review -- 3 Results and Discussions -- 4 Conclusion -- References -- Distributed Edge Learning in Emerging Virtual Reality Systems -- 1 Introduction -- 2 Literature Review -- 3 Method -- 3.1 VR Systems -- 3.2 MEC -- 3.3 A Model for VR Systems Based on Edge Computing -- 3.4 Simulation Analysis -- 4 Results and Discussions -- 4.1 Comparison of Task Offloading Performance Among Models -- 5 Conclusion -- References.
A Review on Deep Learning-Based Object Recognition Algorithms -- 1 Introduction -- 2 Literature Review -- 3 Results and Analysis -- 4 Conclusion and Future Work -- References -- A Study on Human-Machine Interaction in Banking Services During COVID-19 -- 1 Introduction -- 1.1 Research Problem -- 1.2 Objectives of the Study -- 1.3 Research Methodology -- 2 Review of Literature -- 3 Theoretical Framework -- 3.1 What Are Human-Machine Interactions? -- 3.2 Advantages of HMI [16] -- 3.3 Disadvantages of Human-Machine Interface [16] -- 4 Results and Discussions -- 5 Conclusion -- References -- A Study on Review of Application of Blockchain Technology in Banking Industry -- 1 Introduction -- 2 What is a Blockchain? -- 2.1 What is Distributed Ledger Technology? [3] -- 2.2 Transaction in Blockchain -- 2.3 Growth in Blockchain Technology -- 3 Applications of Blockchain in Various Sectors -- 4 Blockchain in Banking -- 5 Banks Adopting Blockchain Technology -- 6 Results and Discussion -- 7 Conclusion -- References -- Face Expression Recognition in Video Using Hybrid Feature Extractor and CNN-LSTM -- 1 Introduction -- 2 Related Work -- 2.1 Literature Review -- 3 Methodology -- 3.1 Preprocessing of Video and Face Detection -- 3.2 Extraction of the Hybrid Features -- 3.3 FER Using Hybrid CNN-LSTM Classifier -- 4 Results and Discussion -- 4.1 Evaluation Metrics -- 4.2 Result Analysis -- 5 Conclusion -- References -- Two-Node Tandem Communication Networks to Avoid Congestion -- 1 Introduction -- 2 Queuing Model -- 3 Optimal Strategies of the Representation -- 4 Numerical Illustration and Sensitivity Analysis -- 5 Sensitivity Investigation -- 6 Conclusion -- References -- Detection of Fake Profiles in Instagram Using Supervised Machine Learning -- 1 First Section -- 1.1 Proposed Methodology -- 2 Literature Survey -- 2.1 Dataset Information -- 2.2 Data Collection. 2.3 Dataset Annotation -- 3 Experimental Results -- 4 Conclusion -- References -- Review on Space and Security Issues in Cloud Computing -- 1 Introduction -- 2 Cloud Storage Models -- 3 Safety and Security Issues of Cloud Storage Space -- 4 Conclusion -- References -- Anomaly Detection in Solar Radiation Forecasting Using LSTM Autoencoder Architecture -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 4 Results and Implementation -- 5 Conclusion -- References -- Medical Image Denoising Using Non-Local Means Filtering -- 1 Introduction -- 2 Related Work -- 2.1 Method -- 3 Results -- 4 Conclusion -- References -- Skin Disease Detection Using Machine Learning Techniques -- 1 Introduction -- 2 Related Work Analysis -- 3 Proposed Work -- 3.1 Modules -- 4 Results -- 5 Conclusions -- References -- Detecting False Data Attacks Using KPG-MT Technique -- 1 Introduction -- 2 Related Works -- 3 Proposed System -- 4 Results and Discussions -- 5 Conclusion -- References -- Utilization of Machine Learning Techniques in Pharma -- 1 Introduction -- 2 Disease Diagnosis or Identification of Disease -- 3 The Discovery of Drugs -- 4 The Prediction of Diseases -- 5 Research on Clinical Trials -- 6 Treatment Related to Personnel -- 7 Health Records Storing on Electronic Models -- 8 Conclusion -- References -- New Event Detection for Web Recommendation Using Web Mining -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodologies -- 4 Conclusion -- References -- An Automatic Convolution Neural Network-Based Framework for Robust Classification of Breast Cancer Histopathological Images -- 1 Introduction -- 2 Literature Survey -- 2.1 Breast Cancer Prediction Using Data Mining Method -- 2.2 By Means of Machine Learning Instrument in Categorization of Breast Cancer. 2.3 Analytic Correctness of Dissimilar Machine Learning Algorithms for Breast Cancer Danger Computation -- 2.4 By Means of Machine Learning Algorithms for Breast Cancer Danger Forecast and Analysis -- 2.5 Machine Learning with Request in Breast Cancer Analysis and Forecast -- 3 System Implementation -- 3.1 Proposed System -- 3.2 Feature Extraction -- 4 Conclusion -- References -- Big Data Analytics Services in Health Care: An Extensive Review -- 1 Introduction -- 2 Related Work -- 2.1 Data Mining in Medical Sector -- 2.2 Privacy Issues of Big Data in the Medical Sector -- 2.3 Privacy Problem Solutions in Medical Sector -- 3 Methodology -- 3.1 Security Measures of Healthcare Using Big Data -- 3.2 Privacy Assessment Model -- 3.3 Architecture -- 4 Experimental Results -- 5 Discussion -- 6 Conclusion -- References -- Facial Expression Recognition Model Using Deep CNN and Hybrid Feature Selection Pre-processing Technique -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Model Description -- 3.2 Model Data Flow -- 3.3 Proposed Algorithm -- 4 Experimentation and Results -- 4.1 Dataset and Experimental Setup -- 4.2 Graphical Representation of Results -- 4.3 Comparison Table -- References -- Coronavirus (COVID-19) Detection and Classification Using High Resolution Computed Tomography (HR-CT) Imageries -- 1 Introduction -- 2 Methods -- 3 Experimental Results -- 4 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910743350403321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine intelligence and soft computing : proceedings of ICMISC 2020 / / Edited by Debnath Bhattacharyya and N. Thirupathi Rao
| Machine intelligence and soft computing : proceedings of ICMISC 2020 / / Edited by Debnath Bhattacharyya and N. Thirupathi Rao |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XVII, 504 p. 327 illus., 211 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Artificial intelligence
Computational intelligence Soft computing |
| ISBN | 981-15-9516-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Comparative Study on Automated Detection of Malaria by Using Blood Smear Images -- A Survey on Techniques for Android Malware Detection -- Comparative Analysis of Prevalent Disease by Pre-processing Techniques using Big Data and Machine Learning: An Extensive Review -- Prediction of Diabetes using Ensemble Learning Model -- Improve K-Mean Clustering Algorithm in Large Scale Data for Accuracy Improvement -- A Novel Approach to Predict Cardiovascular Disease Using Machine Learning -- Comparative Analysis of Machine Learning Models on Loan Risk Analysis -- Compact MIMO Antenna for Evolving 5G Applications with Two / Four Elements -- Accurate Prediction of Fake Job Offers Using Machine Learning -- Emotion Recognition through Human Conversation using Machine Learning Techniques. |
| Record Nr. | UNINA-9910484462703321 |
| Gateway East, Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Smart Technologies in Data Science and Communication : Proceedings of SMART-DSC 2022 / / Kingsley A. Ogudo, Sanjoy Kumar Saha, and Debnath Bhattacharyya, editors
| Smart Technologies in Data Science and Communication : Proceedings of SMART-DSC 2022 / / Kingsley A. Ogudo, Sanjoy Kumar Saha, and Debnath Bhattacharyya, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (317 pages) |
| Disciplina | 302.2 |
| Collana | Lecture Notes in Networks and Systems Series |
| Soggetto topico |
Communication Technological innovations
Quantitative research Soft computing |
| ISBN | 981-19-6880-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Conference Committee Members -- Preface -- Acknowledgements -- Contents -- Editors and Contributors -- A Graph-Based Model for Discovering Host-Based Hook Attacks -- 1 Introduction -- 2 Related Works -- 3 Proposed Graph-Based Model -- 3.1 Preliminary Processing Stage -- 3.2 Malware Detection Stage -- 4 Experimental Results and Discussion -- 4.1 Discussion -- 4.2 Limitations -- 5 Conclusions -- References -- E-Health Care Patient Information Retrieval and Monitoring System Using SVM -- 1 Introduction -- 2 Related Works -- 3 Proposed Model in IoT -- 3.1 Microcontroller -- 3.2 Sensors -- 3.3 Blood Pressure Sensor -- 3.4 Temperature Sensor -- 3.5 Three Axis Accelerometer Sensors. -- 3.6 Display Device -- 3.7 Alarm System -- 3.8 SVM Algorithm -- 3.9 Cloud Server -- 4 Proposed Work -- 5 Results and Discussion -- 5.1 Diagnosing Patient in Intensive Care Unit -- 5.2 Sending Notification Through Cloud -- 5.3 Support Vector Machine -- 6 Conclusion -- References -- Number Plate Recognition Using Optical Character Recognition (OCA) and Connected Component Analysis (CCA) -- 1 Introduction -- 1.1 The Purpose of This Paper -- 2 Detection of License Plates -- 2.1 Binarization of Images -- 2.2 Detecting the Edges -- 2.3 Connected Component Analysis (CCA) -- 2.4 Mathematical Morphology -- 2.5 Related Work in the Number Plate Detection -- 3 Character Segmentation -- 4 Character Recognition -- 5 Conclusion -- Bibliography -- Cartoonify an Image with OpenCV Using Python -- 1 Introduction -- 2 Objectives -- 2.1 Filter by Median -- 2.2 Filter Laplacian -- 2.3 Filter by Median -- 3 Implementation -- 3.1 Step by Step Implementation -- 3.2 Statement of the Problem -- 3.3 Advanced Technical Approach -- 4 Proposed System -- 4.1 Challenges and Problem -- 5 Conclusion -- References -- Web Design as an Important Factor in the Success of a Website -- 1 Introduction.
2 Affective Factors for a Successful Website of e-commerce -- 3 Importance of Webdesign in e-commerce -- 4 Usability -- 5 A Case Study of Totally Blind Persons Interacting on the Internet -- 6 Conclusion -- References -- Earlier Selection of Routes for Data Transfer In Both Wired and Wireless Networks -- 1 Introduction -- 2 Related and Proposed Work -- 3 Modules Description -- 3.1 Path Reservation -- 3.2 Minimum Bandwidth Allocation -- 3.3 Time Management -- 3.4 Admission Control -- 4 Test Cases -- 5 Conclusion -- 6 Future Enhancement -- References -- Identifying River Drainage Characteristics by Deep Neural Network -- 1 Introduction -- 2 Related Work -- 2.1 Identifying Various Size and Shape of River Drainage -- 2.2 Generate River Drainage Image by Spatial, Spectral, Angular, and Temporal Model -- 3 Result -- 4 Discussion -- 5 Conclusion -- References -- A Review on Optimal Deep Learning Based Prediction Model for Multi Disease Prediction -- 1 Introduction -- 2 Literature Review -- 3 Review on Traditional Multi-disease Prediction Models -- 4 Methodology -- 5 Conclusion -- References -- A Hybrid Multi-user Based Data Replication and Access Control Mechanism for Cloud Data Security -- 1 Introduction -- 2 Related Works -- 3 Proposed Model -- 4 Experimental Results -- 5 Conclusion -- References -- Leveraging the Goldfinger Attack in Blockchain Based on the Topological Properties -- 1 Introduction -- 2 Study Review -- 3 Contribution of the Study -- 4 Methodology and Design -- 4.1 Peer-To-Peer Network Connectivity -- 5 Implementation -- 5.1 General Network Before the Goldfinger Attack -- 5.2 Results of General Network Before the Goldfinger Attack -- 5.3 Implementation of the Goldfinger Attack -- 6 Results -- 7 Discussion and Analysis -- 8 Conclusion -- References. Bitcoin Transaction Computational Efficiency and Network Node Power Consumption Prediction Using an Artificial Neural Network -- 1 Introduction -- 2 Study Review -- 3 Contribution of the Study -- 3.1 Methodology -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Remote Breast Cancer Patient Monitoring System: An Extensive Review -- 1 Introduction -- 2 Related Work on Breast Cancer -- 2.1 Existing Approaches to Detect Breast Cancer: -- 2.2 Popular Datasets Available for Research -- 2.3 Deep Learning Techniques for Early Diagnosis of Breast Cancer -- 3 Challenges and Issues in Remote Monitoring System -- 4 Case Study: A Remote Breast Cancer Patient Monitoring System -- 5 Result and Analysis of Existing Techniques -- 6 Conclusion -- References -- Simplifying the Code Editor Using MEAN Stack Technologies -- 1 Introduction -- 1.1 Why MEAN? -- 2 Related and Proposed Work -- 2.1 Existing Systems -- 2.2 Proposed System -- 3 Results and Sample OUTPUT Screens -- 4 Conclusion -- References -- Prediction and Identification of Diseases to the Crops Using Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Motivation -- 4 Proposed System -- 5 Flowchart -- 6 Algorithms, Dataset Used, and Accuracy Comparison -- 7 Conclusion -- References -- Pulse-Based Smart Electricity Meter Using Raspberry Pi and MEFN -- 1 Introduction -- 2 Literature -- 3 Proposed Methodology -- 4 System Design -- 5 Conclusion -- References -- Brain Tumor Segmentation Using U-Net -- 1 Introduction -- 1.1 Brain Tumor Modalities -- 2 Literature Review -- 3 Materials and Methods -- 3.1 U-Net Architecture -- 3.2 Fully Convolutional Network -- 4 Results and Discussions -- 5 Conclusion -- References -- An Empirical Study of CNN-Deep Learning Models for Detection of Covid-19 Using Chest X-Ray Images -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset. 2.2 Model Formulation -- 3 Experimental Results -- 3.1 Evaluation Matrices -- 3.2 Comparison of Various CNN-DL Models -- 3.3 Comparison of Various CNN-DL Models -- 4 Conclusion -- References -- Detection of Eye Blink Using SVM Classifier -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Face Detection -- 3.2 Eye Pair Detection -- 3.3 Classification Using SVM Model -- 4 Results and Discussions -- 5 Conclusion -- References -- A Novel Approach for Health Analysis Using Machine Learning Approaches -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Decision Tree -- 3.2 Naïve Bayesian -- 3.3 Random Forest -- 3.4 K-Nearest Neighbor (KNN) -- 4 Results and Discussions -- 5 Conclusion and Future Scope -- References -- Classification of Healthy and Diseased Lungs by Pneumonia Using X-Rays and Gene Sequencing With Deep Learning Approaches -- 1 Introduction -- 2 Literature Survey -- 3 Materials and Methods -- 3.1 Convolutional Neural Network (CNN) -- 3.2 Inception V3 Model -- 4 Proposed Model -- 5 Results and Discussions -- 6 Proof of Concept -- 6.1 POC Architecture -- 6.2 POC Design -- 6.3 Result -- 7 Conclusion and Future Work -- References -- Breast Cancer Classification Using Improved Fuzzy C-Means Algorithm -- 1 Introduction -- 2 Proposed Work -- 2.1 Pre-processing -- 2.2 Labels and Other Artifacts Removal from the Background -- 2.3 Removing of Pectoral Muscle -- 2.4 Enhancement of Image -- 2.5 Measurement of PSNR Value and MSE Value -- 3 Optimization Segmentation -- 3.1 Optimization Using Independent Search Krill Herd Technique -- 4 Results and Discussions -- 5 Conclusion and Future Work -- References -- Repercussions of Incorporating Filters in CNN Model to Boost the Diagnostic Ability of SARS-CoV-2 Virus Using Chest Computed Tomography Scans -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Algorithm. 4 Results and Analysis -- 4.1 Dataset Execution -- 4.2 Graphical Representation of Accuracy and Loss Attained -- 4.3 Comparing the Model with Latest Methods -- 4.4 Graphical Representation of Comparing the Model with Related Methods -- 5 Conclusion -- References -- Software Development Estimation Cost Using ANN -- 1 Introduction -- 2 Estimation Model Performance -- 3 Artificial Neural Network Models -- 4 Network Performance Evaluation -- 4.1 Performance Measurement -- 4.2 Simulated Development Data -- 5 Conclusion -- Bibliography -- A Generic Flow of Cyber-Physical systems-A Comprehensive Survey -- 1 Introduction -- 2 CPS Evolution -- 3 Applications -- 4 CPS Models -- 5 Security Models -- 6 CPS Properties -- 7 Challenges in CPS -- 8 Model-Driven Conceptual Approaches -- 9 Conclusion -- References -- Mental Disorder Detection in Social Networks Using SVM Classification: An Improvised Approach -- 1 Introduction -- 2 Literature Survey -- 3 Existing System -- 4 Proposed System -- 5 Methodology -- 5.1 OSN Framework Construction -- 5.2 Data Collection -- 5.3 Pre-Processing -- 5.4 Feature Extraction -- 6 Conclusion -- 7 Future Work -- References -- An Enhanced K-Means Clustering Algorithm to Improve the Accuracy of Clustering Using Centroid Identification Based on Compactness Factor -- 1 Introduction -- 2 Related Works -- 3 Centroid Recognition Based on Compactness -- 3.1 The Improved k-means Clustering Algorithm Using Regional Centroid Component (RCC) -- 4 Results and Discussion -- 5 Conclusion -- References -- Prediction of Chronic Kidney Disease with Various Machine Learning Techniques: A Comparative Study -- 1 Introduction -- 2 Literature Review -- 3 Materials and Method -- 4 Results and Discussion -- 5 Conclusion -- References -- Blockchain and Its Idiosyncratic Effects on Energy Consumption and Conservation -- 1 Introduction -- 1.1 Applications. 2 Literature Review. |
| Record Nr. | UNINA-9910637730903321 |
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Smart technologies in data science and communication : proceedings of SMART-DSC 2021 / / Sanjoy Kumar Saha, Paul S. Pang, Debnath Bhattacharyya, editors
| Smart technologies in data science and communication : proceedings of SMART-DSC 2021 / / Sanjoy Kumar Saha, Paul S. Pang, Debnath Bhattacharyya, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (402 pages) |
| Disciplina | 302.2 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Quantitative research
Communication - Technological innovations Soft computing |
| ISBN | 981-16-1773-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483971903321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Smart Technologies in Data Science and Communication : Proceedings of SMART-DSC 2019 / / edited by Jinan Fiaidhi, Debnath Bhattacharyya, N. Thirupathi Rao
| Smart Technologies in Data Science and Communication : Proceedings of SMART-DSC 2019 / / edited by Jinan Fiaidhi, Debnath Bhattacharyya, N. Thirupathi Rao |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVIII, 318 p. 225 illus., 170 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Electrical engineering
Computational intelligence Artificial intelligence Big data Communications Engineering, Networks Computational Intelligence Artificial Intelligence Big Data/Analytics Big Data |
| ISBN | 981-15-2407-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Digital Transformation of Seed distribution Process -- Chapter 2. Detection of Deceptive Phishing based on Machine Learning Techniques -- Chapter 3. A Shape Based Model with Zone wise Hough Transformation for Handwritten Digit Recognition -- Chapter 4. Deducted Sentiment Analysis for Sarcastic Reviews Using LSTM Networks -- Chapter 5. An Artificial Intelligence Approach to Social Networks Agent Task Scheduling Analysis in Map Reduce for Sentiment Opinion Analysis -- Chapter 6. Automatic Identification of Colloid Cyst in Brain through MRI/CT Scan Images -- Chapter 7. A Detailed Review on Big Data Analytics -- Chapter 8. A Review on Datasets and Tools in the Research of Recommender Systems -- Chapter 9. Performance Comparison of Different Machine Learning Algorithms for Risk Prediction & Diagnosis of Breast Cancer -- Chapter 10. Analysis of DRA with Different Shapes for X-band Applications -- Chapter 11. Android based Application for Environmental Protection -- Chapter 12. LDA Topic Generalization on Museum Collections -- Chapter 13. Roof Edge Detection for Solar Panel Installation -- Chapter 14. Implementation of Kernel based DCT with Controller Unit -- Chapter 15. Space Explorations and Applications of Artificial Intelligence. . |
| Record Nr. | UNINA-9910383834103321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||