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Empowering Solutions for Sustainable Future in Science and Technology [Mīkstie vāki]

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  • Formāts: Paperback / softback, 133 pages, height x width: 235x155 mm, 36 Illustrations, color; 8 Illustrations, black and white; VIII, 133 p. 44 illus., 36 illus. in color., 1 Paperback / softback
  • Sērija : SpringerBriefs in Applied Sciences and Technology
  • Izdošanas datums: 02-Mar-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031778367
  • ISBN-13: 9783031778360
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 46,91 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 55,19 €
  • Ietaupiet 15%
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Empowering Solutions for Sustainable Future in Science and TechnologyPalielināt
  • Formāts: Paperback / softback, 133 pages, height x width: 235x155 mm, 36 Illustrations, color; 8 Illustrations, black and white; VIII, 133 p. 44 illus., 36 illus. in color., 1 Paperback / softback
  • Sērija : SpringerBriefs in Applied Sciences and Technology
  • Izdošanas datums: 02-Mar-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031778367
  • ISBN-13: 9783031778360
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031778360.html
Keywords:

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.

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.