Advances in systems, control and automations : select proceedings of ETAEERE 2020 ; Bhubaneswar, India / / editors, Akash Kumar Bhoi [et al] |
Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (702 pages) : illustrations |
Disciplina | 320.0011 |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Electrical engineering
Control theory Automation Automatització Teoria de control Enginyeria elèctrica |
Soggetto genere / forma |
Llibres electrònics
Congressos |
ISBN | 981-15-8685-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Comparative Analysis of Sic and Gan Devices --A Review on Finding Optimum Paths with Genetic and Annealing Algorithms --Mathematical Analysis of Solar Photovoltaic Array Configurations with Partial Shaded Modules --Discrete Wavelet Transform for CNN-BiLSTM-based Violence Detection --Agrochain: Ascending Blockchain Technology towards Smart Agriculture --Random Subspace Based Hybridized SVM Classification for High Dimensional Data --AlphaAI: Custom Machine Learning Visualization Tool --Dynamic Frequency Control of a Multi-Area Renewable Power System Incorporating with Energy Storage Technologies --A Short Survey on Real-Time Object Detection and its Challenges --Small Object Detection from Video and Classification using Deep Learning --An efficient IoT Technology cloud based Pollution Monitoring System. |
Record Nr. | UNINA-9910483111503321 |
Gateway East, Singapore : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Biologically Inspired Techniques in Many-Criteria Decision Making : International Conference on Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM-2019) / / edited by Satchidananda Dehuri, Bhabani Shankar Prasad Mishra, Pradeep Kumar Mallick, Sung-Bae Cho, Margarita N. Favorskaya |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (xv, 258 pages) |
Disciplina | 658.403 |
Collana | Learning and Analytics in Intelligent Systems |
Soggetto topico |
Computational intelligence
Engineering - Data processing Artificial intelligence Computational Intelligence Data Engineering Artificial Intelligence |
ISBN | 3-030-39033-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1: Classification of Arrhythmia Using Artificial Neural Network with Grey Wolf Optimization -- Chapter 2: Multi-objective Biogeography-Based Optimization for Influence Maximization-Cost Minimization in Social Networks -- Chapter 3: Classification of Credit Dataset Using Improved Particle Swarm Optimization Tuned Radial Basis Function Neural Networks -- Chapter 4: Multi-verse Optimization of Multilayer Perceptrons (MV-MLPs) for Efficient Modeling and Forecasting of Crude Oil Prices Data -- Chapter 5: Application of machine learning to predict diseases based on symptoms in rural India -- Chapter 6: Classıfıcatıon of Real Tıme Noısy Fıngerprınt Images Usıng FLANN -- Chapter 7: Software Reliability Prediction with Ensemble Method and Virtual Data Point Incorporation -- Chapter 8: Hyperspectral Image Classification using Stochastic Gradient Descent based Support Vector Machine -- Chapter 9: A Survey on Ant Colony Optimization for Solving Some of the Selected NP-Hard Problem -- Chapter 10: Machine Learning Models for Stock Prediction using Real-Time Streaming Data -- Chapter 11: Epidemiology of Breast Cancer (BC) and its Early Identification via Evolving Machine Learning Classification Tools (MLCT)–A Study -- Chapter 12: Ensemble Classification Approach for Cancer Prognosis and Prediction -- Chapter 13: Extractive Odia Text Summarization System: An OCR based Approach -- Chapter 14: Predicting sensitivity of local news articles from Odia dailies -- Chapter 15: A systematic frame work using machine learning approaches in supply chain forecasting -- Chapter 16: An Intelligent system on computer-aided diagnosis for Parkinson’s disease with MRI using Machine Learning -- Chapter 17: Operations on Picture Fuzzy Numbers and their Application in Multi-Criteria Group Decision Making Problems -- Chapter 18: Some Generalized Results on Multi-Criteria Decision Making Model using Fuzzy TOPSIS Technique -- Chapter 19: A Survey on FP-Tree Based Incremental Frequent Pattern Mining -- Chapter 20: Improving Co-expressed Gene Pattern Finding Using Gene Ontology -- Chapter 21: Survey of Methods Used for Differential Expression Analysis on RNA Seq Data -- Chapter 22: Adaptive Antenna Tilt for Cellular Coverage Optimization in Suburban Scenario -- Chapter 23: A survey of the different itemset representation for candidate. |
Record Nr. | UNINA-9910484374803321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Cloud Computing for Optimization: Foundations, Applications, and Challenges / / edited by Bhabani Shankar Prasad Mishra, Himansu Das, Satchidananda Dehuri, Alok Kumar Jagadev |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (467 pages) |
Disciplina | 004.6782 |
Collana | Studies in Big Data |
Soggetto topico |
Computational intelligence
Artificial intelligence Big data Computational Intelligence Artificial Intelligence Big Data |
ISBN | 3-319-73676-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Nature Inspired Optimizations in Cloud Computing: Applications and Challenges.- Resource Allocation in Cloud Computing Using OptimizationTechniques.- Energy Aware Resource Allocation Model for IaaS Optimization.- A Game Theoretic Model for Cloud Federation -- Resource Provisioning Strategy for Scientific Workflows in Cloud Computing Environment -- Consolidation in Cloud Environment Using Optimization Techniques. |
Record Nr. | UNINA-9910739444303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Sensor Networks / / edited by Bijan Bihari Mishra, Satchidanand Dehuri, Bijaya Ketan Panigrahi, Ajit Kumar Nayak, Bhabani Shankar Prasad Mishra, Himansu Das |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XIV, 488 p. 196 illus., 132 illus. in color.) |
Disciplina | 006.3019 |
Collana | Studies in Computational Intelligence |
Soggetto topico |
Computational intelligence
Artificial intelligence Electrical engineering Computational Intelligence Artificial Intelligence Communications Engineering, Networks |
ISBN | 3-662-57277-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Distributed Query Processing Optimization in Wireless Sensor Network Using Artificial Immune System -- Computational Intelligence Techniques for Localization in Static and Dynamic Wireless Sensor Networks- A Review -- Nature Inspired Algorithm Approach for the Development of an Energy Aware Model for Sensor Network -- Routing Protocols -- Distance based Enhanced Threshold Sensitive Stable Election routing Protocol for Heterogeneous Wireless Sensor Network. |
Record Nr. | UNINA-9910484253003321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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The digitalization conundrum in India : applications, access and aberrations / / Keshab Das, Bhabani Shankar Prasad Mishra, Madhabananda Das, editors |
Pubbl/distr/stampa | Singapore : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (xviii, 308 pages) : illustrations |
Disciplina | 338.954 |
Collana | India studies in business and economics |
Soggetto topico | Technological innovations - Economic aspects - India |
ISBN | 981-15-6907-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910468229103321 |
Singapore : , : Springer, , [2020] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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A Journey Towards Bio-inspired Techniques in Software Engineering / / edited by Jagannath Singh, Saurabh Bilgaiyan, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (viii, 210 pages) : illustrations |
Disciplina | 660.6 |
Collana | Intelligent Systems Reference Library |
Soggetto topico |
Computational intelligence
Software engineering Computational Intelligence Software Engineering |
ISBN | 3-030-40928-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910483671703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Smart Techniques for a Smarter Planet : Towards Smarter Algorithms / / edited by Manoj Kumar Mishra, Bhabani Shankar Prasad Mishra, Yashwant Singh Patel, Rajiv Misra |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XII, 304 p. 175 illus., 83 illus. in color.) |
Disciplina |
519.3
006.3 |
Collana | Studies in Fuzziness and Soft Computing |
Soggetto topico |
Computational intelligence
Pattern recognition Artificial intelligence Calculus of variations Computational Intelligence Pattern Recognition Artificial Intelligence Calculus of Variations and Optimal Control; Optimization |
ISBN | 3-030-03131-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Intelligent Computational Techniques for the Better World 2020 -- Optimization of the cropping pattern using Cuckoo Search Technique -- A Review on Epileptic Seizure Detection and Prediction Using Soft Computing Techniques -- Deep learning architectures for Object Detection and Classification -- AI Powered Partially Parallelized Scheme for Multi Factor Authentication -- Performance Measures. |
Record Nr. | UNINA-9910483552403321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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