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Data science and big data analyticsproceedings of IDBA 2025.Volume 2 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data science and big data analyticsedited by Durgesh Mishra ... [et al.].
Reminder of title:	proceedings of IDBA 2025.
remainder title:	IDBA 2025
other author:	Mishra, Durgesh Kumar.
corporate name:
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xi, 527 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Big dataCongresses.
Online resource:	https://doi.org/10.1007/978-3-032-05373-2
ISBN:	9783032053732$q(electronic bk.)

Data science and big data analyticsproceedings of IDBA 2025.Volume 2 /
Data science and big data analyticsproceedings of IDBA 2025.Volume 2 /[electronic resource] :IDBA 2025edited by Durgesh Mishra ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xi, 527 p. :ill. (chiefly col.), digital ;24 cm. - Learning and analytics in intelligent systems,562662-3455 ;. - Learning and analytics in intelligent systems ;v.1..

Research on Autonomous Collision Avoidance and Navigation Strategies for Mobile Robots Based on Point Cloud Library (PCL) and Imitation Learning -- Development and Application Research of Motion Video Analysis Platform in Sports Training -- Construction of a Quadruped Robot Imitation Motion Control System based on Deep Reinforcement Learning -- Sports Action Teaching Correction System Combined with Intelligent Pose Recognition Technology -- Intelligent Logistics Path Planning and Real-Time Scheduling Optimization Based on Ant Colony Optimization Algorithm.

This book features high-quality research papers presented at the Fifth International Conference on Data Science and Big Data Analytics (IDBA 2025), organized by Symbiosis University of Applied Sciences, Indore, India, in association with ACM and IEEE Computer Society in hybrid mode during June 27-28, 2025. This book discusses topics such as data science, artificial intelligence, machine learning, quantum computing, big data and cloud security, computation security, big data security, information security, forecasting, data analytics, mathematics for data science, graph theory and application in data science, data visualization, computer vision, and analytics for social networks.

ISBN: 9783032053732$q(electronic bk.)

Standard No.: 10.1007/978-3-032-05373-2doiSubjects--Topical Terms:

592065
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

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