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Empowering solutions for sustainable future in science and technology
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Empowering solutions for sustainable future in science and technology/ edited by Saurabh Sambhav ... [et al.].
其他作者:
Sambhav, Saurabh.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
viii, 133 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Internet of Things. -
電子資源:
https://doi.org/10.1007/978-3-031-77837-7
ISBN:
9783031778377
Empowering solutions for sustainable future in science and technology
Empowering solutions for sustainable future in science and technology
[electronic resource] /edited by Saurabh Sambhav ... [et al.]. - Cham :Springer Nature Switzerland :2025. - viii, 133 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-5318. - SpringerBriefs in applied sciences and technology..
A Novel Health Monitoring System Utilizing IoT and Machine Learning Techniques for Elderly Patient Care -- Edge-Enabled Cloud IoT 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.
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.
ISBN: 9783031778377
Standard No.: 10.1007/978-3-031-77837-7doiSubjects--Topical Terms:
1048478
Internet of Things.
LC Class. No.: T173.8
Dewey Class. No.: 601
Empowering solutions for sustainable future in science and technology
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A Novel Health Monitoring System Utilizing IoT and Machine Learning Techniques for Elderly Patient Care -- Edge-Enabled Cloud IoT 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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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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