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Advances in data-driven computing and intelligent systemsselected papers from ADCIS 2023.Volume 3 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in data-driven computing and intelligent systemsedited by Swagatam Das ... [et al.].
Reminder of title:	selected papers from ADCIS 2023.
remainder title:	ADCIS 2023
other author:	Das, Swagatam.
corporate name:
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xix, 567 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Expert systems (Computer science)
Online resource:	https://doi.org/10.1007/978-981-99-9518-9
ISBN:	9789819995189$q(electronic bk.)

Advances in data-driven computing and intelligent systemsselected papers from ADCIS 2023.Volume 3 /
Advances in data-driven computing and intelligent systemsselected papers from ADCIS 2023.Volume 3 /[electronic resource] :ADCIS 2023edited by Swagatam Das ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xix, 567 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 8932367-3389 ;. - Lecture notes in networks and systems ;v.1..

A comprehensive review: Sentiment Analysis for Indian local Languages -- Face Recognition-Based Surveillance System -- Comparative Analysis of Malware Classification using Supervised Machine Learning Algorithms -- Noise filtering algorithm based on Machine learning for identification of ground hitting photons in Jaipur city -- Data-driven interior plan generation for residential buildings in Vietnam -- A weekly scheduling of operating theaters using Multi Agent Planner -- Using website content for detecting phishing URLs: A Novel approach -- Attention and Residual-Atrous Convolutional Learning-Based CNN Architecture for Lung Nodule Segmentation and Classification -- Adaptive Segmentation on Extracting Textural and Fractal Patterns for Assessing Mangrove Dynamics using Multi-spectral Data -- Exploring Multivariate Chemometric Tool for Simultaneous Determination of Erectile Dysfunction Drugs in Pharmaceutical Formulation -- Mass transport of combined oscillating electroosmotic and pressure drivenflow through cylindrical nanopore considering ion partitioning effects -- Audio Signal Analysis and Classification of Bluetooth Vulnerabilities using Machine Learning Techniques -- Performance Evaluation of Thresholding-based Segmentation Algorithms for Aerial Imagery -- Estimation of particle Froude Number in Deposited Bed Condition using Hybrid Machine Learning Models -- An Image based Automated Potato Leaf Disease Detection Model -- Unsupervised Synthetic Code-Mixed Data Generation -- Automated Building Segmentation in Areal images using Boundary Edge Detection.

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: 9789819995189$q(electronic bk.)

Standard No.: 10.1007/978-981-99-9518-9doiSubjects--Topical Terms:

182450
Expert systems (Computer science)

LC Class. No.: QA76.76.E95

Dewey Class. No.: 006.33

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520 $a 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.
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