Innovations in Computational Intelligence and Computer Vision
Editat de Satyabrata Roy, Deepak Sinwar, Nilanjan Dey, Thinagaran Perumal, João Manuel R. S. Tavaresen Limba Engleză Paperback – 7 dec 2024
Observăm în volumul Innovations in Computational Intelligence and Computer Vision o structură progresivă riguroasă, care ghidează cititorul de la fundamentele teoretice ale viziunii computerizate către implementări complexe în scenarii de teren. Această colecție de lucrări științifice, rezultată în urma conferinței ICICV 2024, nu se limitează la prezentarea unor algoritmi izolați, ci pune accent pe integrarea acestora în ecosisteme tehnologice moderne, precum fuziunea dintre Machine Learning și tehnologia Blockchain pentru securizarea datelor biometrice.
Abordarea metodologică diferă de Advances in Computer Vision prin caracterul său pregnant aplicativ; în timp ce volumul editat de Kohei Arai explorează perspective teoretice largi, lucrarea de față se concentrează pe soluții punctuale pentru probleme contemporane. De exemplu, cuprinsul indică o progresie de la clasificarea multi-clasă a vegetației folosind Deep Learning, până la sisteme hibride de recomandare muzicală bazate pe recunoașterea emoțiilor faciale. Această tranziție de la utilitar la experiența utilizatorului demonstrează versatilitatea modelelor propuse.
Recomandăm atenție sporită secțiunilor dedicate restaurării imaginilor afectate de intemperii și detecției pietonilor prin integrarea arhitecturilor ResNet18 și YOLOv4. Aceste capitole oferă detalii tehnice precise despre performanța rețelelor neuronale în condiții variabile. Cu peste 120 de ilustrații ce susțin demonstrațiile matematice, volumul devine un instrument de lucru esențial pentru înțelegerea modului în care viziunea computerizată părăsește laboratorul pentru a fi aplicată în industrie și servicii.
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Specificații
ISBN-13: 9789819769919
ISBN-10: 9819769914
Pagini: 588
Ilustrații: Approx. 450 p. 120 illus., 60 illus. in color.
Dimensiuni: 155 x 235 x 30 mm
Greutate: 0.99 kg
Ediția:2024
Editura: Springer
Locul publicării:Singapore, Singapore
ISBN-10: 9819769914
Pagini: 588
Ilustrații: Approx. 450 p. 120 illus., 60 illus. in color.
Dimensiuni: 155 x 235 x 30 mm
Greutate: 0.99 kg
Ediția:2024
Editura: Springer
Locul publicării:Singapore, Singapore
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De ce să citești această carte
Recomandăm această carte cercetătorilor și inginerilor care au nevoie de studii de caz concrete în implementarea rețelelor neuronale. Cititorul câștigă acces la metodologii verificate pentru procesarea imaginilor și analiza video, învățând cum să combine tehnologii precum Blockchain și Deep Learning. Este un motiv solid de achiziție pentru oricine dorește să vadă cum algoritmii teoretici sunt adaptați pentru a rezolva degradările de imagine sau clasificările complexe de obiecte.
Despre autor
Volumul este coordonat de un colectiv de editori de prestigiu, printre care se numără Nilanjan Dey, un cercetător prolific în domeniul informaticii medicale și al procesării semnalelor, și João Manuel R. S. Tavares, recunoscut la nivel internațional pentru contribuțiile sale în ingineria mecanică și viziunea computerizată. Expertiza lor combinată, alături de contribuțiile lui Satyabrata Roy, Deepak Sinwar și Thinagaran Perumal, asigură o selecție riguroasă a lucrărilor, menținând un echilibru între inovația academică și cerințele practice ale industriei tehnologice actuale.
Descriere scurtă
This volume comprises of research papers presented at the 4th International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024) organized by Department of Computer and Communication Engineering, Manipal University Jaipur, India during April 4 – 5, 2024. The book includes a collection of innovative ideas from researchers, scientists, academics, industry professionals and students. The book covers a variety of topics, such as artificial intelligence and computer vision, image processing and video analysis, applications and services of artificial intelligence and computer vision, interdisciplinary areas combining artificial intelligence and computer vision, and other innovative practices.
Notă biografică
Dr. Satyabrata Roy is an Associate Professor in the department of Computer Science and Engineering, School of Computing & Information Technology at Manipal University Jaipur, Rajasthan, India. He received his Ph.D. and M.Tech. (with honors) degrees in Computer Science and Engineering in 2020 and 2014 respectively; and B.Tech. in Information Technology in 2009. His research interests include Cryptography, Internet of Things, Cellular Automata, Computer Networks, Computational Intelligence, Machine Learning and Formal Languages. He is an enthusiastic and motivating technocrat with more than 10 years of research and academic experience at different reputed institutes.He has supervised many students for their M. Tech. dissertation work and currently supervising Ph.D. scholars at Manipal University Jaipur. He has published many research articles in top quality International Journals, National / International conferences of repute. He is also working as reviewer for several reputed International Journals. He has served as member of technical program committee of many international conferences and symposiums. He has organized many international conferences, FDPs and Workshops. He has participated in many Short-Term Courses, Faculty Development Programmes, Workshops and MOOCs offered by prestigious universities of India and abroad. He has served as resource person of many FDPs and seminars. He is a senior member of IEEE and professional member of ACM.
Deepak Sinwar is an Associate Professor in the Department of IoT and Intelligent Systems, School of Computing and Intelligent Systems at Manipal University Jaipur, Jaipur, Rajasthan, India. He received his Ph.D and M.Tech degrees in Computer Science and Engineering in 2016 and 2010 respectively; and B.Tech (with honors) in Information Technology in 2008. On his credit, he has published many articles in peer reviewed journals, conference proceedings, and book chapters. He has been involved in many editorial activities like editing books/ special issues with publishers of repute. He has organized and attended various Conferences and Workshops during his teaching career. His research interests include Meta-heuristics, Ad-hoc Networks, Data Mining, Reliability Engineering, and Computer Vision. He is an enthusiastic and motivating academician with more than 14 years of research and academic experience. He is a life member of Indian Society for Technical Education (India), senior member of IEEE and member of ACM professional society.
Dr. Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK and Univeristy of Aizu, Japan. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence , IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (SpringerNature), Data-Intensive Research(SpringerNature), Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier and Hybrid Computational Intelligence for Pattern Analysis and Understanding, Elseviser (Scopus). He is an associate editor of IET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature, Applied Soft Computing, Elsevier etc. He is having 35 authored, 80 edited books, over 400 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is having 20,000 citations with h-index 70. He is the Fellow of IETE and Senior member of IEEE.
Dr. Thinagaran Perumal Chair, IEEE Consumer Electronics Society Malaysia Senior Lecturer, Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia Head, Cyber-Physical System Unit, Faculty of Computer Science and Information Technology, Universiti Putra MalaysiaExpertise: Internet of Things; Cyber-Physical Systems, Smart Homes and Interoperability and Ambient IntelligenceBiography: Thinagaran Perumal is the recipient of 2014 Early Career Award from IEEE Consumer Electronics Society for his pioneering contribution in the field of consumer electronics. He completed his PhD at Universiti Putra Malaysia, in the area of smart technology and robotics. He is currently a Senior Lecturer at the Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia. He is also currently appointed as Head of Cyber-Physical Systems in the university and also been elected as Chair of IEEE Consumer Electronics Society Malaysia Chapter. His research interests are towards interoperability aspects of smart homes and Internet of Things (IoT), wearable computing, and cyber-physical systems. Thina is also heading the National Committee on Standardization for IoT (IEC/ISO TC / G/16) as Chairman since 2018. Some of the eminent works include proactive architecture for IoTsystems; development of the cognitive IoT frameworks for smart homes and wearable devices for rehabilitation purposes. He is an active member of IEEE Consumer Electronics Society and its Future Directions Committee on Internet of Things. He has been invited to give several keynote lectures and plenary talk on Internet of Things in various institutions and organizations internationally. He has published several papers in IEEE Conferences and Journals and is serving as TPC member for several reputed IEEE conferences. He is an active reviewer for IEEE Internet of Things Journal, IEEE Communication Magazine, IEEE Sensors Journal, and IEEE Transaction for Automation Science and Engineering, to name a few. He was elected as General Chair for IEEE International Symposium on Consumer Electronics 2017 (ISCE’17) held in Kuala Lumpur.
João Manuel R. S. Tavares graduated in Mechanical Engineering at the Universidade do Porto, Portugal in 1992. He also earned his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 1995 and 2001, and attained his Habilitation in Mechanical Engineering in 2015 from the same University. He is a senior researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI) and a Full Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia da Universidade do Porto (FEUP). He has been the Head of DEMec since June 2023.João Tavares is co-editor of more than 80 books, co-author of more than 50 book chapters, 650 articles in international and national journals and conferences, and 3 international and 3 national patents. He has been a committee member of several international and national journals and conferences, is co-founder and co-editor of the book series “Lecture Notes in Computational Vision and Biomechanics” published by Springer, founder and Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization” published by Taylor & Francis, Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering” published by Taylor & Francis, and co-founder and co-chair of the international conference series: International Symposium on Computational Modeling of Objects Presented in Images, ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, International Conference on Computational and Experimental Biomedical Sciences and International Conference on Biodental Engineering. Additionally, he has been (co-)supervisor of several MSc and PhD theses and supervisor of several post-doc projects and has participated in many scientific projects both as a researcher and as scientific coordinator.His main research areas include computational vision, medical imaging, biomechanics, biomedical engineering, and new product development.
Deepak Sinwar is an Associate Professor in the Department of IoT and Intelligent Systems, School of Computing and Intelligent Systems at Manipal University Jaipur, Jaipur, Rajasthan, India. He received his Ph.D and M.Tech degrees in Computer Science and Engineering in 2016 and 2010 respectively; and B.Tech (with honors) in Information Technology in 2008. On his credit, he has published many articles in peer reviewed journals, conference proceedings, and book chapters. He has been involved in many editorial activities like editing books/ special issues with publishers of repute. He has organized and attended various Conferences and Workshops during his teaching career. His research interests include Meta-heuristics, Ad-hoc Networks, Data Mining, Reliability Engineering, and Computer Vision. He is an enthusiastic and motivating academician with more than 14 years of research and academic experience. He is a life member of Indian Society for Technical Education (India), senior member of IEEE and member of ACM professional society.
Dr. Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK and Univeristy of Aizu, Japan. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence , IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (SpringerNature), Data-Intensive Research(SpringerNature), Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier and Hybrid Computational Intelligence for Pattern Analysis and Understanding, Elseviser (Scopus). He is an associate editor of IET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature, Applied Soft Computing, Elsevier etc. He is having 35 authored, 80 edited books, over 400 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is having 20,000 citations with h-index 70. He is the Fellow of IETE and Senior member of IEEE.
Dr. Thinagaran Perumal Chair, IEEE Consumer Electronics Society Malaysia Senior Lecturer, Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia Head, Cyber-Physical System Unit, Faculty of Computer Science and Information Technology, Universiti Putra MalaysiaExpertise: Internet of Things; Cyber-Physical Systems, Smart Homes and Interoperability and Ambient IntelligenceBiography: Thinagaran Perumal is the recipient of 2014 Early Career Award from IEEE Consumer Electronics Society for his pioneering contribution in the field of consumer electronics. He completed his PhD at Universiti Putra Malaysia, in the area of smart technology and robotics. He is currently a Senior Lecturer at the Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia. He is also currently appointed as Head of Cyber-Physical Systems in the university and also been elected as Chair of IEEE Consumer Electronics Society Malaysia Chapter. His research interests are towards interoperability aspects of smart homes and Internet of Things (IoT), wearable computing, and cyber-physical systems. Thina is also heading the National Committee on Standardization for IoT (IEC/ISO TC / G/16) as Chairman since 2018. Some of the eminent works include proactive architecture for IoTsystems; development of the cognitive IoT frameworks for smart homes and wearable devices for rehabilitation purposes. He is an active member of IEEE Consumer Electronics Society and its Future Directions Committee on Internet of Things. He has been invited to give several keynote lectures and plenary talk on Internet of Things in various institutions and organizations internationally. He has published several papers in IEEE Conferences and Journals and is serving as TPC member for several reputed IEEE conferences. He is an active reviewer for IEEE Internet of Things Journal, IEEE Communication Magazine, IEEE Sensors Journal, and IEEE Transaction for Automation Science and Engineering, to name a few. He was elected as General Chair for IEEE International Symposium on Consumer Electronics 2017 (ISCE’17) held in Kuala Lumpur.
João Manuel R. S. Tavares graduated in Mechanical Engineering at the Universidade do Porto, Portugal in 1992. He also earned his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 1995 and 2001, and attained his Habilitation in Mechanical Engineering in 2015 from the same University. He is a senior researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI) and a Full Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia da Universidade do Porto (FEUP). He has been the Head of DEMec since June 2023.João Tavares is co-editor of more than 80 books, co-author of more than 50 book chapters, 650 articles in international and national journals and conferences, and 3 international and 3 national patents. He has been a committee member of several international and national journals and conferences, is co-founder and co-editor of the book series “Lecture Notes in Computational Vision and Biomechanics” published by Springer, founder and Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization” published by Taylor & Francis, Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering” published by Taylor & Francis, and co-founder and co-chair of the international conference series: International Symposium on Computational Modeling of Objects Presented in Images, ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, International Conference on Computational and Experimental Biomedical Sciences and International Conference on Biodental Engineering. Additionally, he has been (co-)supervisor of several MSc and PhD theses and supervisor of several post-doc projects and has participated in many scientific projects both as a researcher and as scientific coordinator.His main research areas include computational vision, medical imaging, biomechanics, biomedical engineering, and new product development.
Caracteristici
Presents research works in the field of computational intelligence and computer vision Provides original works presented at ICICV 2024 held in Jaipur, India Serves as a reference for researchers and practitioners in academia and industry
Cuprins
Empirical Study of Multi-class Weed Classification using Deep Learning Network through Transfer Learning.- Secured Face Recognition System Based on Block Chain with Machine Learning.- Classifying Paintings/Artworks Using Deep Learning Techniques.- Hybrid Deep Face Music Recommendation Using Emotions.- Integrating ResNet18 and YOLOv4 for Pedestrian Detection.- Image Restoration from Weather Degraded Images Using Markov Random Field