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Autor Mandal, Jyotsna K. |
Documentos disponibles escritos por este autor (2)
Crear una solicitud de compra Refinar búsquedaComputational Intelligence in Communications and Business Analytics / Dutta, Paramartha ; Mandal, Jyotsna K. ; Mukhopadhyay, Somnath
TÃtulo : Computational Intelligence in Communications and Business Analytics : Third International Conference, CICBA 2021, Santiniketan, India, January 7–8, 2021, Revised Selected Papers / Tipo de documento: documento electrónico Autores: Dutta, Paramartha, ; Mandal, Jyotsna K., ; Mukhopadhyay, Somnath, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XII, 273 p. 100 ilustraciones, 76 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-75529-4 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Estructuras de datos (Informática) TeorÃa de la información Inteligencia artificial IngenierÃa Informática Red de computadoras Visión por computador Estructuras de datos y teorÃa de la información IngenierÃa Informática y Redes Redes de comunicación informática Clasificación: 005.73 Resumen: Este libro constituye las actas arbitradas de la Tercera Conferencia Internacional sobre Inteligencia Computacional, Comunicaciones y Análisis de Negocios, CICBA 2021, celebrada en Santiniketan, India, en enero de 2021. Los 12 artÃculos completos y 8 artÃculos breves presentados en este volumen fueron cuidadosamente revisados ​​y seleccionado entre 84 presentaciones. Los artÃculos están organizados en secciones temáticas sobre informática forense (privacidad y seguridad); inteligencia Computacional; ciencia de datos y análisis de datos avanzados; y minerÃa y almacenamiento de datos inteligentes. Nota de contenido: Computational Forensic (Privacy and Security) -- Quantified Analysis of Security Issues and its Mitigation in Blockchain using Game Theory -- Color Image Compressed Sensing using Modified Stagewise Orthogonal Matching Pursuit -- Duplicate Frame Detection in Forged Videos using Sequence Matching -- LISA - An Instrumental separation system based on lead instrument -- An Image Encryption method using Chaos and DNA Encoding -- Efficient Quantum Implementation of Majority-based Full Adder circuit using Clifford+T-group -- Recurrent Neural Network and Metaheuristics Search: A New Approach for Encryption Key Generation in Cryptographic Engineering -- Computational Intelligence -- Modeling and prediction of COVID-19 in India using machine learning -- Exploring Hand-crafted Features and Transfer Learning for Polyp Segmentation -- A Survey on Feature Extraction Methods For Handwriting Biometric -- A Novel Equilibrium Optimization Technique for band selection of hyperspectral images -- A Fuzzy Logic Approach to Evaluate Discomfort of Body Parts among Female Sal Leaf Plate Makers in India -- Towards a Smart Indoor Parking System -- Multispectral Object Detection with Deep Learning -- Pythagorean Fuzzy C-means Clustering Algorithm -- Data Science and Advanced Data Analytics -- Application of a New Hybrid MCDM Technique Combining Grey Relational Analysis with AHP-TOPSIS in Ranking of Stocks in the Indian IT Sector -- Utility Function-based Active Multi-stakeholder Personalized Recommendation System -- Stock Price Prediction Using CABC Trained Neural Network -- Exploring Knowledge Distillation of a Deep Neural Network for Multi-Script Identification -- A Machine Learning Base Fertilizer Recommendation System for Paddy and Wheat in West Bengal -- Gauging Stress and its effect during COVID among Indian Engineering Students -- Intelligent Data Mining and Data Warehousing -- Deep CNN based Automatic Detection and Identification of Bengal Tigers -- A Convolutional Neural Network Model for Automatic Detection of Plant Diseases -- Gene Expression-based Prediction of Lung Cancer Associated Protein-Protein Interactions -- Knowledge Discovery of Sundarban Mangrove Species: A Way Forward for Managing Species Biodiversity -- Valve Care: A Fuzzy Based Intelligent Model for Predicting Heart Diseases using Arduino Based IoT Infrastructure -- Abstractive Text Summarization Approaches with Analysis of Evaluation Techniques -- Classification of Colorectal Cancer Histology Images using Image Reconstruction and Modified DenseNet. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the Third International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2021, held in Santiniketan, India, in January 2021. The 12 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on computational forensic (privacy and security); computational intelligence; data science and advanced data analytics; and intelligent data mining and data warehousing. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computational Intelligence in Communications and Business Analytics : Third International Conference, CICBA 2021, Santiniketan, India, January 7–8, 2021, Revised Selected Papers / [documento electrónico] / Dutta, Paramartha, ; Mandal, Jyotsna K., ; Mukhopadhyay, Somnath, . - 1 ed. . - [s.l.] : Springer, 2021 . - XII, 273 p. 100 ilustraciones, 76 ilustraciones en color.
ISBN : 978-3-030-75529-4
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Estructuras de datos (Informática) TeorÃa de la información Inteligencia artificial IngenierÃa Informática Red de computadoras Visión por computador Estructuras de datos y teorÃa de la información IngenierÃa Informática y Redes Redes de comunicación informática Clasificación: 005.73 Resumen: Este libro constituye las actas arbitradas de la Tercera Conferencia Internacional sobre Inteligencia Computacional, Comunicaciones y Análisis de Negocios, CICBA 2021, celebrada en Santiniketan, India, en enero de 2021. Los 12 artÃculos completos y 8 artÃculos breves presentados en este volumen fueron cuidadosamente revisados ​​y seleccionado entre 84 presentaciones. Los artÃculos están organizados en secciones temáticas sobre informática forense (privacidad y seguridad); inteligencia Computacional; ciencia de datos y análisis de datos avanzados; y minerÃa y almacenamiento de datos inteligentes. Nota de contenido: Computational Forensic (Privacy and Security) -- Quantified Analysis of Security Issues and its Mitigation in Blockchain using Game Theory -- Color Image Compressed Sensing using Modified Stagewise Orthogonal Matching Pursuit -- Duplicate Frame Detection in Forged Videos using Sequence Matching -- LISA - An Instrumental separation system based on lead instrument -- An Image Encryption method using Chaos and DNA Encoding -- Efficient Quantum Implementation of Majority-based Full Adder circuit using Clifford+T-group -- Recurrent Neural Network and Metaheuristics Search: A New Approach for Encryption Key Generation in Cryptographic Engineering -- Computational Intelligence -- Modeling and prediction of COVID-19 in India using machine learning -- Exploring Hand-crafted Features and Transfer Learning for Polyp Segmentation -- A Survey on Feature Extraction Methods For Handwriting Biometric -- A Novel Equilibrium Optimization Technique for band selection of hyperspectral images -- A Fuzzy Logic Approach to Evaluate Discomfort of Body Parts among Female Sal Leaf Plate Makers in India -- Towards a Smart Indoor Parking System -- Multispectral Object Detection with Deep Learning -- Pythagorean Fuzzy C-means Clustering Algorithm -- Data Science and Advanced Data Analytics -- Application of a New Hybrid MCDM Technique Combining Grey Relational Analysis with AHP-TOPSIS in Ranking of Stocks in the Indian IT Sector -- Utility Function-based Active Multi-stakeholder Personalized Recommendation System -- Stock Price Prediction Using CABC Trained Neural Network -- Exploring Knowledge Distillation of a Deep Neural Network for Multi-Script Identification -- A Machine Learning Base Fertilizer Recommendation System for Paddy and Wheat in West Bengal -- Gauging Stress and its effect during COVID among Indian Engineering Students -- Intelligent Data Mining and Data Warehousing -- Deep CNN based Automatic Detection and Identification of Bengal Tigers -- A Convolutional Neural Network Model for Automatic Detection of Plant Diseases -- Gene Expression-based Prediction of Lung Cancer Associated Protein-Protein Interactions -- Knowledge Discovery of Sundarban Mangrove Species: A Way Forward for Managing Species Biodiversity -- Valve Care: A Fuzzy Based Intelligent Model for Predicting Heart Diseases using Arduino Based IoT Infrastructure -- Abstractive Text Summarization Approaches with Analysis of Evaluation Techniques -- Classification of Colorectal Cancer Histology Images using Image Reconstruction and Modified DenseNet. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the Third International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2021, held in Santiniketan, India, in January 2021. The 12 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on computational forensic (privacy and security); computational intelligence; data science and advanced data analytics; and intelligent data mining and data warehousing. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Multi-Objective Optimization : Evolutionary to Hybrid Framework Tipo de documento: documento electrónico Autores: Mandal, Jyotsna K., ; Mukhopadhyay, Somnath, ; Dutta, Paramartha, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2018 Número de páginas: XVI, 318 p. 90 ilustraciones, 51 ilustraciones en color. ISBN/ISSN/DL: 978-981-1314711-- Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Informática Optimización matemática Inteligencia Computacional Matemáticas de la Computación Mejoramiento Clasificación: 004.0151 Resumen: Este libro reúne los últimos hallazgos sobre soluciones eficientes de problemas de optimización multiobjetivo de los principales investigadores en el campo. La atención se centra en resolver problemas de optimización del mundo real utilizando estrategias que van desde marcos evolutivos hasta hÃbridos, e involucrando varias plataformas informáticas. Los temas cubiertos incluyen marcos de soluciones que utilizan modelos evolutivos a hÃbridos en áreas de aplicación como análisis, investigación del cáncer, gestión del tráfico, redes y comunicaciones, gobierno electrónico, tecnologÃa cuántica, procesamiento de imágenes, etc. Como tal, el libro ofrece un recurso valioso para todos. estudiantes de posgrado e investigadores interesados ​​en explorar marcos de soluciones para problemas de optimización multiobjetivo. Nota de contenido: Chapter 1. An Advance Overview of Single and Multi-Objective Optimization -- Chapter 2. Non-dominated Sorting Based Multi/Many Objective Optimization: Two Decades of Research and Application -- Chapter 3. Uncertain Multi-objective Portfolio Selection Model based on Genetic Algorithm -- Chapter 4. A Multiobjective Genetic Algorithm-based Approach for Identifying Relevant and Non-redundant Cancer-MicroRNA Markers -- Chapter 5. Application of Multi-objective Optimizations in Protein Structure Prediction -- Chapter 6. Multi-target Multiobjective Programming and Patrol Manpower Planning for Traffic Management via Genetic Algorithm -- Chapter 7. Multi-objective Optimization for Key Player Identification in Networks -- Chapter 8. Joint Maximization in Energy and Spectral Efficiency in Cooperative Cognitive Radio Networks -- Chapter 9. A Neoteric Multi-Objective Framework for Engineering Process Optimization: Metaheuristics and Experimental Designs based Approach -- Chapter 10. Multi/Many Objective Optimization – Hybrid Intelligent Framework -- Chapter 11. Efficiency Maximization of Multimedia Data Mining using Multiobjective Neuro-ACO Approach -- Chapter 12. Optimized Determination of Separating Hyper-Plane of an SVM – Hybrid Multiobjective Model -- Chapter 13. Efficient Cluster Head Selection in Wireless Sensor Network using Multiobjective Model -- Chapter 14. Achieving Optimized Bio-Metric Security in E-Governance by Multiobjective Neuro Approach -- Chapter 15. Advantage of Quantum Inspired Multiobjective Genetic Algorithm over Classical Multiobjective Genetic Algorithm -- Chapter 16. Optimizing Performance Parameter of Image Segmentation using Hybrid Multiobjective Framework. Tipo de medio : Computadora Summary : This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms. The topics covered include solution frameworks using evolutionary to hybrid models in application areas like Analytics, Cancer Research, Traffic Management, Networks and Communications, E-Governance, Quantum Technology, Image Processing, etc. As such, the book offers a valuable resource for all postgraduate students and researchers interested in exploring solution frameworks for multi/many-objective optimization problems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Multi-Objective Optimization : Evolutionary to Hybrid Framework [documento electrónico] / Mandal, Jyotsna K., ; Mukhopadhyay, Somnath, ; Dutta, Paramartha, . - 1 ed. . - Singapore [Malasia] : Springer, 2018 . - XVI, 318 p. 90 ilustraciones, 51 ilustraciones en color.
ISBN : 978-981-1314711--
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Informática Optimización matemática Inteligencia Computacional Matemáticas de la Computación Mejoramiento Clasificación: 004.0151 Resumen: Este libro reúne los últimos hallazgos sobre soluciones eficientes de problemas de optimización multiobjetivo de los principales investigadores en el campo. La atención se centra en resolver problemas de optimización del mundo real utilizando estrategias que van desde marcos evolutivos hasta hÃbridos, e involucrando varias plataformas informáticas. Los temas cubiertos incluyen marcos de soluciones que utilizan modelos evolutivos a hÃbridos en áreas de aplicación como análisis, investigación del cáncer, gestión del tráfico, redes y comunicaciones, gobierno electrónico, tecnologÃa cuántica, procesamiento de imágenes, etc. Como tal, el libro ofrece un recurso valioso para todos. estudiantes de posgrado e investigadores interesados ​​en explorar marcos de soluciones para problemas de optimización multiobjetivo. Nota de contenido: Chapter 1. An Advance Overview of Single and Multi-Objective Optimization -- Chapter 2. Non-dominated Sorting Based Multi/Many Objective Optimization: Two Decades of Research and Application -- Chapter 3. Uncertain Multi-objective Portfolio Selection Model based on Genetic Algorithm -- Chapter 4. A Multiobjective Genetic Algorithm-based Approach for Identifying Relevant and Non-redundant Cancer-MicroRNA Markers -- Chapter 5. Application of Multi-objective Optimizations in Protein Structure Prediction -- Chapter 6. Multi-target Multiobjective Programming and Patrol Manpower Planning for Traffic Management via Genetic Algorithm -- Chapter 7. Multi-objective Optimization for Key Player Identification in Networks -- Chapter 8. Joint Maximization in Energy and Spectral Efficiency in Cooperative Cognitive Radio Networks -- Chapter 9. A Neoteric Multi-Objective Framework for Engineering Process Optimization: Metaheuristics and Experimental Designs based Approach -- Chapter 10. Multi/Many Objective Optimization – Hybrid Intelligent Framework -- Chapter 11. Efficiency Maximization of Multimedia Data Mining using Multiobjective Neuro-ACO Approach -- Chapter 12. Optimized Determination of Separating Hyper-Plane of an SVM – Hybrid Multiobjective Model -- Chapter 13. Efficient Cluster Head Selection in Wireless Sensor Network using Multiobjective Model -- Chapter 14. Achieving Optimized Bio-Metric Security in E-Governance by Multiobjective Neuro Approach -- Chapter 15. Advantage of Quantum Inspired Multiobjective Genetic Algorithm over Classical Multiobjective Genetic Algorithm -- Chapter 16. Optimizing Performance Parameter of Image Segmentation using Hybrid Multiobjective Framework. Tipo de medio : Computadora Summary : This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms. The topics covered include solution frameworks using evolutionary to hybrid models in application areas like Analytics, Cancer Research, Traffic Management, Networks and Communications, E-Governance, Quantum Technology, Image Processing, etc. As such, the book offers a valuable resource for all postgraduate students and researchers interested in exploring solution frameworks for multi/many-objective optimization problems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
