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Advances in Data-Driven Computing and Intelligent Systems Selected Papers from ADCIS 2023, Volume 2
Title
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.
ISBN
9789819995219
Edition
1st ed. 2024.
Publication
Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Physical Description
1 online resource (XVIII, 538 p.) 248 illus., 203 illus. in color.
Local Notes
Access is available to the Yale community.
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Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
March 01, 2024
Series
Lecture Notes in Networks and Systems, 892
Contents
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.
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