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Advances in data-driven computing and intelligent systems = selected papers from ADCIS 2023.. Volume 2 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in data-driven computing and intelligent systems/ edited by Swagatam Das ... [et al.].
Reminder of title:	selected papers from ADCIS 2023.
remainder title:	ADCIS 2023
other author:	Das, Swagatam.
corporate name:	International Conference on Advances in Data-driven Computing and Intelligent Systems
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xviii, 538 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Expert systems (Computer science) - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-99-9521-9
ISBN:	9789819995219

Advances in data-driven computing and intelligent systems = selected papers from ADCIS 2023.. Volume 2 /
Advances in data-driven computing and intelligent systemsselected papers from ADCIS 2023.Volume 2 /[electronic resource] :ADCIS 2023edited by Swagatam Das ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xviii, 538 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 8922367-3389 ;. - Lecture notes in networks and systems ;v. 892..

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.

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.

ISBN: 9789819995219

Standard No.: 10.1007/978-981-99-9521-9doiSubjects--Topical Terms:

572486
Expert systems (Computer science)
--Congresses.

LC Class. No.: QA76.76.E95

Dewey Class. No.: 006.33

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