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Innovations in Computational Intelligence and Computer Vision de Satyabrata Roy

Innovations in Computational Intelligence and Computer Vision: Lecture Notes in Networks and Systems, cartea 680

Editat de Satyabrata Roy, Deepak Sinwar, Nilanjan Dey, Thinagaran Perumal, João Manuel R. S. Tavares
en Limba Engleză Paperback – 13 oct 2023

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: 9789819926015
ISBN-10: 9819926017
Pagini: 788
Ilustrații: XXVIII, 759 p. 453 illus., 394 illus. in color.
Dimensiuni: 155 x 235 x 40 mm
Greutate: 1.31 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Lecture Notes in Networks and Systems
Seria Lecture Notes in Networks and Systems

Locul publicării:Singapore, Singapore

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 book presents high-quality, peer-reviewed papers from the International Conference on “Innovations in Computational Intelligence and Computer Vision (ICICV 2022),” hosted by Manipal University Jaipur, Rajasthan, India, on 24–25 November 2022. 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.

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

Notă biografică

Satyabrata Roy received the B.Tech. and M.Tech. degrees in CSE from the Maulana Abul Kalam Azad University of Technology, West Bengal (Formerly known as West Bengal University of Technology), and KIIT University, Bhubaneswar, respectively. He has completed his Ph.D. from Manipal University Jaipur in lightweight security for IoT. He is having more than 10 years of teaching and research experience. He is currently Associate Professor with the Department of Computer Science and Engineering, Manipal University Jaipur. His major research interests include cryptography and cellular automata. He has published many research papers in referred journals and international conferences. Currently, he is supervising three research scholars at Manipal University Jaipur. He is Senior Member of IEEE and Professional Member of ACM.

Deepak Sinwar is Associate Professor at the Department of Computer and Communication Engineering, 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 more than 50 articles in peer-reviewed journals, conference proceedings, and chapters. His research interests include computational intelligence, data mining, machine learning, reliability theory, computer networks, and pattern recognition. He is Enthusiastic and Motivating Academician with more than 12 years of research and academic experience. He is Life Member of Indian Society for Technical Education (India), Senior Member of IEEE, and Member of ACM professional society.

Nilanjan Dey is Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is Visiting Fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held Honorary Position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his Ph.D. from Jadavpur University in 2015. He is Editor-in-Chief of the International Journal of Ambient Computing and Intelligence (IGI Global). He is Series Co-editor of Springer Tracts in Nature-Inspired Computing (Springer Nature), Data-Intensive Research (Springer Nature), and Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is having 110 books and over 300 publications in the area of medical imaging, machine learning, computer-aided diagnosis, data mining, etc. (over 16500 citations, 63 h-index). Furthermore, he is Indian Ambassador of the International Federation for Information Processing—Young ICT Group and Senior Member of IEEE.

Thinagaran Perumal is currently 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 has been elected as Chair of IEEE Consumer Electronics Society Malaysia Chapter. He is Recipient of 2014 Early Career Award from IEEE Consumer Electronics Society for his pioneering contribution in the field of consumer electronics. He completed his Ph.D. at Universiti Putra Malaysia in smart technology and robotics. His research interests are toward interoperability aspects of smart homes and Internet of things (IoT), wearable computing, and cyber-physical systems. He 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 IoT systems; development of the cognitive IoT frameworks for smart homes, and wearable devices for rehabilitation purposes. He is 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 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.

João Manuel R. S. Tavares is graduated in Mechanical Engineering from the University of Porto, Portugal (1992). In 1995, he obtained a M.Sc. in Electrical and Computer Engineering, in the field of industrial informatics, also at the University of Porto. In 2001, he obtained a Ph.D. degree in Electrical and Computer Engineering from the same university, and in 2015 the Habilitation in Mechanical Engineering. From 1995 to 2000, he was Researcher at the Institute of Biomedical Engineering (INEB). Since 2001, he has been Senior Researcher and Project Coordinator at the Laboratory of Optical and Experimental Mechanics (LOME) of the Institute of Mechanical Engineering and Industrial Management (INEGI). He was Assistant Professor in the Department of Mechanical Engineering (DEMec) of the Faculty of Engineering of the University of Porto (FEUP) between 2001 and 2011, and since then, he has been Associate Professor in the same department. Since 2001, he has been Supervisor and Co-supervisor of several M.Sc. and Ph.D. theses. He is Co-author of more than 550 articles in national and international journals and conferences, Co-editor of 30 international books, and Guest Editor of several special issues of international journals. Also, he has been evolved in several research projects, both as Researcher and as Scientific Coordinator. He has been Member of several national and international journal editorial boards, Editor-in-Chief of the T&F Journal Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, and Co-editor of the Springer book series “Lecture Notes in Computational Vision and Biomechanics.” His main research areas include computational vision, computational mechanics, scientific visualization, human–computer interaction, and new product development.

Caracteristici

Presents research works in the field of computational intelligence and computer vision Provides original works presented at ICICV 2022 held in Jaipur, India Serves as a reference for researchers and practitioners in academia and industry