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International Symposium on Intelligent Informatics, 2023 Proceedings of ISI 2022 Smart Innovation, Systems and Technologies Series, Vol. 333

Langue : Anglais

Coordonnateurs : Thampi Sabu M., Mukhopadhyay Jayanta, Paprzycki Marcin, Li Kuan-Ching

Couverture de l’ouvrage International Symposium on Intelligent Informatics

This book constitutes thoroughly refereed post-conference proceedings of the 7th International Symposium on Intelligent Informatics (ISI 2022), from August 31 to September 1?2, 2022, Trivandrum, India. The revised papers presented are carefully reviewed and selected from several initial submissions. The scope of the Symposium includes AI, machine learning, cognitive computing, soft computing, security informatics, data science, computer vision, pattern recognition, intelligent software engineering, intelligent networked systems, IoT, cyber-physical systems, and NLP. The book is directed to the researchers and scientists engaged in various fields of intelligent informatics.

Part 1: Artificial Intelligence and Machine Learning.- Chapter 1. DCLL - A Deep Network for Possible Real-time Decoding of Imagined Words.- Chapter 2. Towards Frugal Artificial Intelligence: Exploring neural network pruning and binarization.- Chapter 3. Practical Implications of Dequantization on Machine Learning Algorithms: A Survey.- Chapter 4. Encoder-Decoder Network with Guided Transmission Map: Robustness and Applicability.- Chapter 5. Development of NN-based Ball Bearing Fault Diagnosis Techniques.- Chapter 6. A data analytics-based study on campaigns and hashtags movements related to the production of fashion goods.- Chapter 7. Gradual Search and Fixed Grouping Scheme based Variant of Genetic Algorithm for Large Scale Global Optimization.- Chapter 8. Generalized symbolic dynamics weighted network prediction of chaotic time series.- Chapter 9. Automated Reduction of Detailed Biophysical Cerebellar Neurons to Izhikevich Neurons+D14.- Chapter 10. Segmentation Approach for Nucleus Cytoplasm of Ewing sarco.- Chapter 11. Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification.- Part 2: Natural Language Processing.- Chapter 12. Abstractive Text Summarization of Hindi Corpus using Transformer Encoder-Decoder Model.- Chapter 13. Automatic Text Classification for Web-based Malayalam Documents.- Chapter 14. Question and Answer Generation from Text using Transformers.- Chapter 15. A Comparative Study of Spam SMS Detection using various Supervised Machine Learning Algorithms. etc. 

Sabu M. Thampi is Professor at the School of Computer Science  Engineering (SoCSE), Kerala University of Digital Sciences, Innovation and Technology (KUDSIT)—formerly IIITM-K, Technocity Campus, Trivandrum, Kerala, India. He holds a Ph.D. in Computer Engineering from the National Institute of Technology Karnataka. His current research interests include Internet of Things (IoT), cognitive security, social networks, endpoint security, and smart cyber-physical systems. He is Primary Member of Center for Research and Innovation in Cyber Threat Resilience (CRICTR) and also coordinating the Connected Systems and Intelligence Lab at KUDSIT. He has published papers in chapters, journals, and conference proceedings. He has authored and edited a few books and as well as edited about 45 conference proceedings published by Springer in different series. Sabu has served as Guest Editor for special issues in few journals and Program Committee Member for many international conferences and workshops. He has co-chaired several international workshops and conferences. He has initiated (ISTA, SSCC, SIRS, ISI, SoMMA, ACN, CoCoNet) and is also involved in the organization of several annual conferences/symposiums. Sabu is currently serving as Editor for Elsevier Journal of Network and Computer Applications (JNCA), Elsevier Journal of Engineering Applications of Artificial Intelligence (2022), Connection Science—Taylor & Francis, Associate Editor for IEEE Access and International Journal of Embedded Systems, Inderscience, UK, and Reviewer for several reputed international journals. Sabu is Senior Member of IEEE and ACM. He is Founding Chair of the ACM Trivandrum Professional Chapter. 

 

Dr. Jayanta Mukhopadhyay (Mukherjee) received his B.Tech., M.Tech., and Ph.D. degrees in Electronics and Electrical Communication Engineering from the Indian Institute of Technology (IIT),Khar

Presents research works in intelligent informatics Discusses results of ISI 2022 held in Trivandrum, India Serves as a reference for researchers and practitioners in academia and industry

Date de parution :

Ouvrage de 506 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

316,49 €

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Date de parution :

Ouvrage de 506 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

316,49 €

Ajouter au panier