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Advances in data-driven computing an...
~
Bansal, Jagdish Chand.
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Advances in data-driven computing and intelligent systems = selected papers from ADCIS 2024.. Volume 2 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Advances in data-driven computing and intelligent systems/ edited by Jagdish Chand Bansal ... [et al.].
Reminder of title:
selected papers from ADCIS 2024.
remainder title:
ADCIS 2024
other author:
Bansal, Jagdish Chand.
Published:
Singapore :Springer Nature Singapore : : 2025.,
Description:
xxiv, 618 p. :ill., digital ;24 cm.
[NT 15003449]:
Unveiling Patterns in Social Media Interactions Recurrent Neural Networks for Deep Learning Behavioral Analysis -- Evaluating Machine Learning and Deep Learning Models for Sentiment Analysis of Farmers Protests on Twitter -- Analyzing the Impact of Attenuation Coefficient in DCF Compensated RoF System using Different RF Signals -- A Comparative Study of Bloodstain Pattern Analysis on Different Types of Paper Surfaces -- Decentralized Distributed Financial Audit System.
Contained By:
Springer Nature eBook
Subject:
Expert systems (Computer science) - Congresses. -
Online resource:
https://doi.org/10.1007/978-981-96-4536-7
ISBN:
9789819645367
Advances in data-driven computing and intelligent systems = selected papers from ADCIS 2024.. Volume 2 /
Advances in data-driven computing and intelligent systems
selected papers from ADCIS 2024.Volume 2 /[electronic resource] :ADCIS 2024edited by Jagdish Chand Bansal ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xxiv, 618 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 13332367-3389 ;. - Lecture notes in networks and systems ;v. 1333..
Unveiling Patterns in Social Media Interactions Recurrent Neural Networks for Deep Learning Behavioral Analysis -- Evaluating Machine Learning and Deep Learning Models for Sentiment Analysis of Farmers Protests on Twitter -- Analyzing the Impact of Attenuation Coefficient in DCF Compensated RoF System using Different RF Signals -- A Comparative Study of Bloodstain Pattern Analysis on Different Types of Paper Surfaces -- Decentralized Distributed Financial Audit System.
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 2024) held at BITS Pilani, K Birla Goa Campus, Goa, India, during September 20-21, 2024. 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: 9789819645367
Standard No.: 10.1007/978-981-96-4536-7doiSubjects--Topical Terms:
572486
Expert systems (Computer science)
--Congresses.
LC Class. No.: QA76.76.E95
Dewey Class. No.: 006.33
Advances in data-driven computing and intelligent systems = selected papers from ADCIS 2024.. Volume 2 /
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Unveiling Patterns in Social Media Interactions Recurrent Neural Networks for Deep Learning Behavioral Analysis -- Evaluating Machine Learning and Deep Learning Models for Sentiment Analysis of Farmers Protests on Twitter -- Analyzing the Impact of Attenuation Coefficient in DCF Compensated RoF System using Different RF Signals -- A Comparative Study of Bloodstain Pattern Analysis on Different Types of Paper Surfaces -- Decentralized Distributed Financial Audit System.
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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 2024) held at BITS Pilani, K Birla Goa Campus, Goa, India, during September 20-21, 2024. 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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