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Intelligent multidimensional data clustering and analysis / / Siddhartha Bhattacharyya, Sourav De, Indrajit Pan, and Paramartha Dutta, editors
| Intelligent multidimensional data clustering and analysis / / Siddhartha Bhattacharyya, Sourav De, Indrajit Pan, and Paramartha Dutta, editors |
| Pubbl/distr/stampa | Hershey, PA : , : Information Science Reference, , [2017] |
| Descrizione fisica | PDFs (450 pages) : illustrations |
| Disciplina | 519.5/3 |
| Collana | Advances in data mining and database management (ADMDM) book series |
| Soggetto topico |
Cluster analysis
Image processing - Mathematics Biomedical engineering - Mathematics |
| Soggetto non controllato |
Bioinformatics
Computer system design Healthcare applications Hybrid soft computing Image analysis Microarray spot segmentation Wireless sensor networks |
| ISBN | 1-5225-1777-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A physical design strategy for datasets with multiple dimensions / Marlene Goncalves, José N. Mendoza -- Data clustering / Bülent Basaran, Fatih Günes -- Association rules-based analysis in multidimensional clusters / Neelu Khare, Dharmendra S. Rajput, Preethi D -- Data clustering and various clustering approaches / Shashi Mehrotra, Shruti Kohli -- Dealing with higher dimensionality and outliers in content-based image retrieval / Seikh Mazharul Islam, Minakshi Banerjee, Siddhartha Bhattacharyya -- For better healthcare mining health data / Güney Gürsel -- Adaptive edge detection method towards features extraction from diverse medical imaging technologies / Indra Kanta Maitra, Samir Kumar Bandhyopadhyaay -- Graph theoretic approaches for image analysis / Biplab Banerjee, Sudipan Saha, Krishna Mohan Buddhiraju -- Utilizing architecture aspects for in data mining for computer system design / Chantana Chantrapornchai [and 4 others] -- On the implementation of a digital image watermarking framework using saliency and phase congruency / Abhishek Basu, Susmita Talukdar -- A hybrid system based on FMM and MLP to diagnose heart disease / Swati Aggarwal, Venu Azad -- A combinational fuzzy clustering approach for microarray spot segmentation / Ong Pauline, Zarita Zainuddin -- Proficient clustering algorithm for wireless sensor networks / Nivetha Gopal, Venkatalakshmi Krishnan -- A study on hybridization of intelligent techniques in bioinformatics / Peyakunta Bhargavi, S. Jyothi, D. M. Mamatha -- Adaptive clustering techniques and their applications / Deepthi P. Hudedagaddi, B. K. Tripathy. |
| Record Nr. | UNINA-9910154879703321 |
| Hershey, PA : , : Information Science Reference, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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International Conference on Innovative Computing and Communications : proceedings of ICICC 2020 . Volume 2 / / editors, Deepak Gupta [et al.]
| International Conference on Innovative Computing and Communications : proceedings of ICICC 2020 . Volume 2 / / editors, Deepak Gupta [et al.] |
| Edizione | [1st edition 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (1,158 pages) : illustrations |
| Disciplina | 004 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computer networks
Computer science |
| ISBN | 981-15-5148-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Dummy Location Generation Model for Location Privacy in Vehicular Ad Hoc Networks -- Depression Anatomy Using Combinational Deep Neural Network -- Flexible Dielectric Resonator Antenna Using Polydimethylsiloxane Substrate as Dielectric Resonator for Breast Cancer Diagnostics -- Tracking of Soccer Players Using Optical Flow -- Epileptic Seizure Detection Using Machine Learning Techniques -- An Analysis of Machine Learning Techniques for Flood Mitigation.-Transaction Privacy Preservations for Blockchain Technology -- Firefly Algorithm Based Optimized Controller for Frequency Control of an Autonomous Multi-Microgrid -- Orthonormal Wavelet Transform for Efficient Feature Extraction from Sensory Motor Imagery based Electroencephalogram Signals. |
| Record Nr. | UNINA-9910483705903321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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International conference on intelligent and smart computing in data analytics : iscda 2020 / / edited by Siddhartha Bhattacharyya, 4 others
| International conference on intelligent and smart computing in data analytics : iscda 2020 / / edited by Siddhartha Bhattacharyya, 4 others |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (301 pages) : illustrations |
| Disciplina | 929.60 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Artificial intelligence
Computational intelligence Signal processing |
| ISBN | 981-336-176-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- About the Editors -- Performance Analysis of Machine Learning Algorithms Over a Network Traffic -- 1 Introduction -- 2 Literature Survey -- 3 Problem Specifications -- 4 Implementation -- 4.1 The Dataset -- 4.2 The Supervised Learning -- 4.3 The Multilayer Perceptron (MLP) -- 4.4 The Random Forest Classifier -- 4.5 The Support Vector Machine (SVM) -- 5 The Performance Evaluation and Results -- 5.1 The Accuracy -- 6 Conclusion and Future Work -- References -- Binary PSO-Based Feature Selection and Neural Network for Parkinson's Disease Prediction -- 1 Introduction -- 2 Methodology -- 2.1 Neural Networks -- 3 Results and Discussions -- 4 Conclusion -- References -- An Evolutionary-Based Additive Tree for Enhanced Disease Prediction -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results and Discussions -- 5 Conclusion -- References -- Novel Defense Framework for Cross-layer Attacks in Cognitive Radio Networks -- 1 Introduction -- 1.1 AI for Cognitive Radio Networks -- 2 Related Works -- 3 Attack Models -- 3.1 PHY Layer Attack Model -- 3.2 Defense Scheme -- 3.3 MAC Layer Attack Model -- 3.4 Defense Scheme -- 3.5 Cross-Layer Attack -- 3.6 Cross-Layer Defense -- 4 Results -- 4.1 Simulation Setup -- 4.2 Results -- 5 Conclusion -- References -- Texture Based Image Retrieval Using GLCM and LBP -- 1 Introduction -- 2 Theoretical Background -- 2.1 Gray Level Co-occurrence Matrixes (GLCM) -- 2.2 Local Binary Patterns (LBP) -- 3 Experimental Results -- 3.1 Statistical Analysis -- 4 Conclusion -- Reference -- Design and Development of Bayesian Optimization Algorithms for Big Data Classification Based on MapReduce Framework -- 1 Introduction -- 2 Correlative Naive Bayes Classifier (CNB) -- 3 Cuckoo Grey Wolf Optimization with Correlative Naïve Bayes Classifier (CGCNB).
4 Fuzzy Correlative Naive Bayes Classifier (FCNB) -- 5 Holoentropy Using Correlative Naïve Bayes Classifier for a Big Data Classification (HCNB) -- 6 Results and Discussion -- 6.1 Performance Evaluation -- 7 Conclusion -- References -- An IoT-Based BLYNK Server Application for Infant Monitoring Alert System to Detect Crying and Wetness of a Baby -- 1 Introduction -- 2 Related Work -- 3 The Proposed Architecture of Baby Monitoring System -- 3.1 Baby Cry Detection Algorithm -- 3.2 Wetness Detection Algorithm -- 4 Experimental Results -- 4.1 Noise Detection by the System -- 4.2 Playing Songs -- 4.3 Wetness Detection -- 4.4 Turning on the Fan -- 5 Conclusions and Future Work -- References -- Analysis of DEAP Dataset for Emotion Recognition -- 1 Introduction -- 2 Related Work -- 2.1 Foundations -- 3 Procedure -- 4 Results -- 5 Conclusions and Discussions -- References -- A Machine Learning Approach for Air Pollution Analysis -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Analysis of Linearity and Correlation Between Gases Using Machine Learning -- 5 Conclusions -- References -- Facial Expression Detection Model of Seven Expression Types Using Hybrid Feature Selection and Deep CNN -- 1 Introduction -- 1.1 Edge Detection and CNN -- 2 Related Work -- 3 Proposed Model -- 3.1 About the Model -- 3.2 Data Flow of the Model -- 3.3 Proposed Algorithm and Model -- 3.4 FaceImgRecog Advanced -- 4 Experiment and Results -- 4.1 Dataset and Execution -- 4.2 Graphical Representation of Results -- 4.3 Comparison Table -- 5 Conclusion and Future Work -- References -- A Fuzzy Approach for Handling Relationship Between Security and Usability Requirements -- 1 Introduction -- 2 Relationship Between Usability and Security -- 2.1 Usability -- 2.2 Security -- 3 Fuzzy Approach to Develop Usable-Secure System -- 4 Implementation and Results -- 5 Conclusion -- References. Naive Bayes Approach for Retrieval of Video Object Using Trajectories -- 1 Introduction -- 2 Motivations -- 2.1 Literature Review -- 2.2 Research Gaps -- 3 Proposed Method -- 3.1 Object Tracking Based on Hybrid NSA-NARX Model -- 3.2 Retrieval of Objects Using the Naive Bayes Classifier -- 4 Results and Discussion -- 4.1 Performance Metrics -- 4.2 Comparative Analysis -- 5 Conclusion -- References -- Mobility-Aware Clustering Routing (MACRON) Algorithm for Lifetime Improvement of Extensive Dynamic Wireless Sensor Network -- 1 Related Work -- 1.1 Need of Scheduling in Wireless Sensor Network -- 2 Proposed Work -- 2.1 Proposed Algorithm -- 3 Results -- 4 Conclusion -- References -- An Extensive Survey on IOT Protocols and Applications -- 1 Introduction -- 2 Related Work -- 3 Block Diagram of IOT -- 4 Applications of IOT -- 5 IOT Protocols at Different Layers -- 6 Conclusion -- References -- Review on Cardiac Arrhythmia Through Segmentation Approaches in Deep Learning -- 1 Introduction -- 2 Survey Over Various Heart Sound Detection Techniques -- 2.1 Heart Sound Detection Using Empirical Mode Decomposition -- 2.2 Heart Sound Detection Through Tunable Quality Wavelet Transform (TQWT) -- 2.3 Heart Sound Detection Using Feature Extraction -- 3 Comparative Analysis of Various Segmentation Approaches Used in HS Detection -- 3.1 Heart Sound Detection Based on S-Transform -- 3.2 Classification Techniques for Heart Sound Detection -- 4 Heart Sound Detection Using Deep Learning Approaches -- 5 Conclusion -- References -- Fast Medicinal Leaf Retrieval Using CapsNet -- 1 Introduction -- 2 Proposed Approach -- 2.1 Pre-processing -- 2.2 CapsNet Design and Training Process -- 3 Experimental Setup and Results -- 3.1 Evaluation Parameters -- 4 Conclusion -- References -- Risk Analysis in Movie Recommendation System Based on Collaborative Filtering. 1 Recommendation System -- 1.1 Types of Recommendation System -- 2 Implementation -- 2.1 Single Objective Using Java -- 2.2 Multiobjective Using Python -- 3 Conclusion -- References -- Difficult on Addressing Security: A Security Requirement Framework -- 1 Introduction of the Security -- 2 The Need of Software Security and Existing Research Approach -- 3 Framework for Software Security in Requirement Phase -- 4 The Proposed Security Requirement Framework (SRF) -- 5 The FrameWork -- 6 Validation of the Framework -- 7 Conclusion -- References -- Smart Eye Testing -- 1 Introduction -- 2 Literature Review -- 3 Implementation -- 4 Results -- 5 Conclusion -- References -- Ameliorated Shape Matrix Representation for Efficient Classification of Targets in ISAR Imagery -- 1 Introduction -- 2 Ameliorated Shape Matrix Representation -- 2.1 Finding the Axis-of-Reference -- 2.2 Finding Rmax and Rmin -- 2.3 Shape Matrix Generation -- 2.4 Classification -- 3 Experimental Results -- 4 Conclusion -- References -- Region-Specific Opinion Mining from Tweets in a Mixed Political Scenario -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Data Collection -- 3.2 Wrangling -- 3.3 Preprocessing -- 3.4 Sentiment Analysis -- 4 Results and Discussion -- 5 Conclusion -- References -- Denoising of Multispectral Images: An Adaptive Approach -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 4 Experimental Results -- 5 Conclusions -- References -- Digital Watermarking to Protect Deep Learning Model -- 1 Introduction -- 2 Literature Survey -- 3 Convolution Neural Network Model -- 3.1 Image Pre-processing and Data Generation -- 3.2 Training the Fully Connected Neural Network -- 4 Proposed Methodology -- 4.1 Watermarking the Neural Network -- 4.2 Implementation -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References. Sequential Nonlinear Programming Optimization for Circular Polarization in Jute Substrate-Based Monopole Antenna -- 1 Introduction -- 2 Proposed Antenna Design and Parametric Analysis -- 3 Optimization Using SNLP Optimizer -- 3.1 Optimizing the Variable S, UL, and UW -- 4 Conclusion -- References -- Genetic Algorithm-Based Optimization in the Improvement of Wideband Characteristics of MIMO Antenna -- 1 Introduction -- 2 Antenna Designing -- 3 Genetic Algorithm Optimizer Analysis -- 3.1 Optimizing the Parameter BP1, BP2, and LP1 -- 4 Conclusion -- References -- Design and Analysis of Optimized Dimensional MIMO Antenna Using Quasi-Newton Algorithm -- 1 Introduction -- 2 Antenna Designing -- 3 Quasi-Newton Optimizer Analysis -- 3.1 Optimizing the Parameter of RL and Rw -- 4 Conclusion -- References -- Preserving the Forest Natural Resources by Machine Learning Intelligence -- 1 Introduction -- 2 Discussion on Existing Algorithms -- 2.1 Polyphonic Detection Systems -- 2.2 Classification Techniques -- 2.3 Mel-Frequency Cepstral Coefficients (MFCC) -- 2.4 K-Nearest Neighbour Method -- 2.5 Deep Neural Networks (DNN) -- 3 Analysis on Sound Event in Forest Environment -- 4 Conclusion -- References -- Comprehensive Study on Different Types of Software Agents -- 1 Introduction -- 2 Related Work and Discussion -- 2.1 Collaborative Agents -- 2.2 Interface Agents -- 2.3 Mobile Agent -- 2.4 Information/Internet Agents -- 2.5 Reactive Agents -- 2.6 Hybrid Agents -- 2.7 Smart Agents -- 3 Implementation of Software Agent -- 3.1 Overview -- 3.2 Algorithm -- 4 Result -- 5 Conclusion -- References -- Hybrid Acknowledgment Scheme for Early Malicious Node Detection in Wireless Sensor Networks -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Algorithm -- 5 Increased Network Lifetime -- 6 Enhanced Throughput -- 7 Conclusion -- References. Prediction of Temperature and Humidity Using IoT and Machine Learning Algorithm. |
| Record Nr. | UNINA-9910482955003321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Multi agent systems : technologies and applications towards human-centered / / edited by Shibakali Gupta, Indradip Banerjee, and Siddhartha Bhattacharyya
| Multi agent systems : technologies and applications towards human-centered / / edited by Shibakali Gupta, Indradip Banerjee, and Siddhartha Bhattacharyya |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (237 pages) |
| Disciplina | 006.30285436 |
| Collana | Springer Tracts in Human-Centered Computing |
| Soggetto topico |
Human-computer interaction
Multiagent systems |
| ISBN | 981-19-0493-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- 1 Introduction to Multi-agent Systems -- 1 Introduction -- 2 Literature Review -- 3 Conclusions -- References -- 2 Human-Computer Interactions Through Multi-agent Systems: Design and Implementations -- 1 Introduction -- 2 Previous Works -- 2.1 Collaborative Concepts of MAS and HCI -- 2.2 Self-Governing Versatile Automated Systems -- 2.3 Intelligent Air Traffic System -- 2.4 Home Automation System -- 2.5 Mixed Reality-Oriented Framework -- 2.6 Psychological Aspects of Human-Agent Conversation -- 2.7 Tele-Health-Oriented Automated Systems -- 2.8 Demonstration-Oriented Training -- 3 Musical Scale Predictor with HCI Using Multi-agent -- 3.1 Mathematical Theory of Mind (ToM) Replicas in Musical Scale Prediction -- 4 Conclusion -- References -- 3 Social Behavior and Reasoning Through Multi-Agent Systems -- 1 Introduction -- 2 Literature Survey -- 3 Fuzzy Logic-Based Multi-agent System -- 3.1 Fuzzy Vaccination Drive -- 4 Conclusions and Future Scope -- References -- 4 Prevalence of Multi-Agent System Consensus in Cloud Computing -- 1 Introduction -- 2 Agent -- 2.1 Autonomy -- 2.2 Pro-activity -- 2.3 Re-activity -- 2.4 Communication and Cooperation -- 2.5 Negotiation -- 2.6 Learning -- 3 Intelligent Agent (IA) -- 3.1 Simple Reflex Agent -- 3.2 Model-Based Reflex Agent -- 3.3 Goal-Based Agent -- 3.4 Utility-Based Agent -- 3.5 Learning Agent -- 4 Related Work -- 5 Applications and Objective Measures of Multi-agent Systems -- 6 Cloud Computing and Multi-Agent Systems -- 7 Consensus -- 7.1 Consensus in Distributed System -- 7.2 Consensus Protocol Properties -- 7.3 Consensus Subjected to Communication Restraint -- 7.4 Leader-Following Consensus -- 7.5 Group Consensus -- 7.6 Consensus Supporting Trigger Method -- 7.7 Time-Limited Consensus -- 7.8 Multi-Consensus and Multi-Tracking -- 8 Conclusion.
References -- 5 The Role of Multi-Agent Systems in IoT -- 1 Introduction -- 2 What is IoT? -- 3 IoT Architecture -- 3.1 Hardware Layer -- 3.2 Communication Layer -- 3.3 Platform Layer -- 3.4 Applications Layer -- 3.5 Security Layer -- 4 Internet of Things Application Domains -- 5 Why Use the MAS Concept for IoT-Based Systems? -- 6 Types of Agents in a Multi-Agent System Based on IoT -- 7 Simulation Multi-Agent System for IoT -- 8 Security in Multi-Agent System Based on IoT -- 9 The Use of Multi-Agent Systems in IoT Applications -- 9.1 Multi-Agent Systems in IoT-Based Smart City -- 9.2 Smart Home Based on Multi-Agent System -- 9.3 A Multi-agent Framework for IIoT -- 9.4 Smart Healthcare Based on Multi-agent System -- 9.5 Smart Grid Based on Multi-agent System -- 10 Conclusion -- References -- 6 Agent-Based Human-Supportive Applications -- 1 Introduction and Literature Review -- 1.1 Classification -- 1.2 Multi-Agent System -- 2 Supply Chain Management -- 2.1 Performatives and Protocols for Negotiation -- 2.2 Criteria for Performative Definition and Selection -- 3 Expert System Design -- 3.1 Structure -- 3.2 Advantages -- 3.3 Application -- 3.4 Problems -- 3.5 Latest Tools for ES -- 3.6 Research Aspects -- 4 Workflow and Business Process Management System -- 4.1 Benefits -- 4.2 Disadvantages -- 4.3 Use of Agents -- 4.4 Classification -- 4.5 Examples and Scope of Research -- 5 Process Control Management -- 5.1 Functionalities on Different Layers -- 5.2 Implementation of Agents -- 6 Production Systems -- 6.1 Approaches -- 6.2 Phases of the Approach -- 6.3 Example of a Distributed Manufacturing System -- 7 Conclusions -- References -- 7 Multi-Agent System Applications in Health Care: A Survey -- 1 Introduction -- 2 Background -- 3 Literature Survey -- 3.1 Architecture of Multi-Agent System -- 3.2 Modeling of Multi-Agent System. 3.3 Planning of Multi-Agent System -- 3.4 Review of Multi-Agent System Applied in Healthcare Domain -- 3.5 Multi-Agent System Applied in Health Care -- 4 Multi-Agent Systems Used in Health Care -- 4.1 Medical Data Management -- 4.2 Decision Support Systems -- 4.3 Planning and Resource Allocation -- 4.4 Remote Care -- 4.5 Composite Systems -- 5 A New Scheme for Medical Diagnosis Using Mas -- 5.1 Model 1 (Describes the Patient Treatment at Home) -- 5.2 Model 2 (Describes the Patient Treatment at Hospital) -- 6 Conclusion -- References -- 8 Applications of Multi-agent Systems in Intelligent Health Care -- 1 Introduction -- 1.1 Artificial Intelligence -- 1.2 Distributed Artificial Intelligence -- 2 Multi-agent Systems in Distributed Artificial Intelligence -- 2.1 Concept -- 2.2 Multi-agent Systems (MAS) -- 2.3 Approaches of Multi-agent Systems' Architecture -- 2.4 Usage of MAS in Recent Times -- 2.5 Fields of MAS Application -- 3 MAS in Health Care -- 3.1 Discussion on Expert Systems -- 3.2 Differences Between Expert Systems and Artificial Intelligence -- 3.3 How MAS is Useful in Healthcare Domain -- 3.4 Fields of Application in Health Care -- 3.5 MAS for E-Health/Telemedicine -- 3.6 Data to be Considered -- 3.7 Methodologies and Applications to Achieve Accurate Results -- 4 Recent Trends in Application of MAS in Health Care and Its Necessity -- 5 Conclusion -- References -- 9 Multi-agent Reinforcement Learning for Stock Market Strategy Analysis -- 1 Introduction -- 2 Purpose of Our Study -- 3 Multi-agent Reinforcement Learning -- 3.1 Multi-agent Reinforcement Learning Applications -- 3.2 Simulation Analysis of Optimal Execution -- 4 Models and Methods -- 4.1 Impact on Optimal Liquidation by Parameter κ -- 4.2 Different Deep Reinforcement Learning Approaches -- 4.3 Deep Reinforcement Learning Used for Trading Agent. 4.4 Multi-agent Approach for Stock Market Strategy Analysis -- 5 Implementation of Multi-agent Systems for Stock Market -- 6 Performance Analysis of Multi-agent Systems -- 7 Conclusion and Future Work -- References -- 10 Multi-agent Systems: Future Initiatives -- 1 Introduction -- 2 Intelligent MAS -- References -- Index. |
| Record Nr. | UNINA-9910564697603321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Quantum inspired meta-heuristics for image analysis / / Sandip Dey, Siddhartha Bhattacharyya, Ujjwal Maulik
| Quantum inspired meta-heuristics for image analysis / / Sandip Dey, Siddhartha Bhattacharyya, Ujjwal Maulik |
| Autore | Dey Sandip <1977-> |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , 2019 |
| Descrizione fisica | 1 online resource (359 pages) |
| Disciplina | 006.42015181 |
| Soggetto topico |
Image segmentation
Metaheuristics Image analysis Heuristic algorithms |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-48876-1
1-119-48877-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910555024903321 |
Dey Sandip <1977->
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| Hoboken, NJ : , : Wiley, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Quantum inspired meta-heuristics for image analysis / / Sandip Dey, Siddhartha Bhattacharyya, Ujjwal Maulik
| Quantum inspired meta-heuristics for image analysis / / Sandip Dey, Siddhartha Bhattacharyya, Ujjwal Maulik |
| Autore | Dey Sandip <1977-> |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , 2019 |
| Descrizione fisica | 1 online resource (359 pages) |
| Disciplina | 006.42015181 |
| Soggetto topico |
Image segmentation
Metaheuristics Image analysis Heuristic algorithms |
| ISBN |
1-119-48876-1
1-119-48877-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910677895003321 |
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Dey Sandip <1977->
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| Hoboken, NJ : , : Wiley, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent advances in hybrid metaheuristics for data clustering / / edited by Sourav De, Sandip Dey, Siddhartha Bhattacharyya
| Recent advances in hybrid metaheuristics for data clustering / / edited by Sourav De, Sandip Dey, Siddhartha Bhattacharyya |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2020] |
| Descrizione fisica | 1 online resource (199 pages) |
| Disciplina | 519.53 |
| Soggetto topico |
Cluster analysis - Data processing
Metaheuristics |
| ISBN |
1-119-55161-7
1-119-55160-9 1-119-55162-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910555078203321 |
| Hoboken, New Jersey : , : Wiley, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Recent advances in hybrid metaheuristics for data clustering / / edited by Sourav De, Sandip Dey, Siddhartha Bhattacharyya
| Recent advances in hybrid metaheuristics for data clustering / / edited by Sourav De, Sandip Dey, Siddhartha Bhattacharyya |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2020] |
| Descrizione fisica | 1 online resource (199 pages) |
| Disciplina | 519.53 |
| Soggetto topico |
Cluster analysis - Data processing
Metaheuristics |
| ISBN |
1-119-55161-7
1-119-55160-9 1-119-55162-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910815761003321 |
| Hoboken, New Jersey : , : Wiley, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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