Saurabh Sambhav & Deepak Kumar Singh 
Empowering Solutions for Sustainable Future in Science and Technology [PDF ebook] 

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This book, embarks the reader on a journey into the forefront of innovation where science, engineering, and technology converge to address the pressing challenges of our time. Through a captivating exploration of cutting-edge research, real-world case studies, and visionary insights, this book illuminates the dynamic forces shaping our collective journey towards a more sustainable and prosperous future. The book also explores how breakthroughs in science, engineering, and technology are reshaping our world for the better. This book is beneficial for research scholar, undergraduate and postgraduate students, or industry staff. The book inspires and empowers readers to become catalysts for positive transformation in our communities and beyond.

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Table des matières

A Novel Health Monitoring System Utilizing Io T and Machine Learning Techniques for Elderly Patient Care.- Edge-Enabled Cloud Io T System for Multi-Disease Healthcare: Predictive Approach for Elderly Patients.- Technological Dynamics of Digital Democracy: Social Media’s Influence on Voters’ Intention.- A Study on Digital Payment Systems in India with Reference to Global Trends.- Logistic Regression and GNN-Driven Approaches for Covid-19 Diagnosis and Potential Drug Discovery.- Critical Analysis and Exploration of Ecological Crisis and Degradation.- Cross-Level Attention Feature Fusion Based Deep Learning Process for Breast Cancer Diagnosis.- Chaos Analysis in Lowest Dimensional Fractional Order Satellite Systems and Its Control Techniques.- Harnessing Science for Power: An Analysis of MCU Characters and the Role of Technology in Shaping Power Distribution.- Empowering Anaphora Resolution in Magahi Through Decision Trees.- Green Communication: A Sustainable Approach to Environmental Awareness and Action.- Digital Amplification of Silent Struggles.- Prediction of Air Quality Index Using Support Vector Machines.- Fake News Detection Using Machine Learning Techniques.- A Controlled Exploration of Vulnerability Assessment and Penetration Testing through Burp Suite.

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Langue Anglais ● Format PDF ● Pages 133 ● ISBN 9783031778377 ● Taille du fichier 5.4 MB ● Âge 02-99 ans ● Éditeur Saurabh Sambhav & Deepak Kumar Singh ● Maison d’édition Springer Nature Switzerland ● Lieu Cham ● Pays CH ● Publié 2025 ● Téléchargeable 24 mois ● Devise EUR ● ID 10216582 ● Protection contre la copie DRM sociale

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