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Advances in Data-Driven Computing and Intelligent Systems [[electronic resource] ] : Selected Papers from ADCIS 2023, Volume 2 / / edited by Swagatam Das, Snehanshu Saha, Carlos A. Coello Coello, Jagdish C. Bansal



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Autore: Das Swagatam Visualizza persona
Titolo: Advances in Data-Driven Computing and Intelligent Systems [[electronic resource] ] : Selected Papers from ADCIS 2023, Volume 2 / / edited by Swagatam Das, Snehanshu Saha, Carlos A. Coello Coello, Jagdish C. Bansal Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (536 pages)
Disciplina: 621.382
Soggetto topico: Telecommunication
Electronic circuits
Cloud Computing
Artificial intelligence
Signal processing
Communications Engineering, Networks
Electronic Circuits and Systems
Artificial Intelligence
Signal, Speech and Image Processing
Altri autori: SahaSnehanshu  
Coello CoelloCarlos A  
BansalJagdish C  
Nota di contenuto: Deep learning models for classification of remotely sensed data of sugarcane -- Detection and Analysis of Wormhole Attacks in the AODV Routing Protocol with IEEE 802.11p for the Internet of Vehicles -- A Systematic Review of NLP Applications in Clinical Healthcare: Advancement and Challenges -- An Investigational Analysis of Automatic Speech Recognition on Deep Neural Networks and Gated Recurrent Unit Model -- Matched Filter and Kirsch’s Template based approach for Retinal Vessel Segmentation -- Prediction of abnormality in kidney function using classification techniques and fuzzy systems -- Implementation of Parallel Applications on the Hypercube Topology by Using Multistage Network -- Integrating Artificial Intelligence for Adaptive Decision-Making in Complex System -- Qualitative Research Reasoning on Dementia Fore-cast using Machine Learning Techniques -- Implementation of Vision Transformers on SPECT Heart Dataset: A Comparative Study -- CSR U-Net: A Novel Approach for Enhanced Skin Cancer Lesion Image Segmentation -- Automatic Detection and Classification System for Mesothelioma Cancer using Deep Learning Models with HPO -- A systematic literature survey on IoT in Healthcare: Security and Privacy Threats -- Hybrid Deep Learning Framework for Glaucoma Detection Using Fundus Images -- Sunflower Optimization with Elite Learning Strategy (SFO-ELS) for Antenna Selection in Massive MIMO Sub Array Switching Architecture -- Machine Learning Models for Human Activity Recognition: A Comparative Study.
Sommario/riassunto: This book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K. K. Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.
Titolo autorizzato: Advances in Data-Driven Computing and Intelligent Systems  Visualizza cluster
ISBN: 981-9995-21-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910841868803321
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Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 892