Del 0 - SpringerBriefs in Applied Sciences and Technology

Empowering Solutions for Sustainable Future in Science and Technology

Häftad, Engelska, 2025

AvSaurabh Sambhav,Deepak Kumar Singh,Ashok Kumar Pandey,Azman Ismail,Fatin Nur Zulkipli,Andreas Öchsner,Andreas Ochsner

719 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2025-03-02
Mått155 x 235 x 8 mm
Vikt257 g
FormatHäftad
SpråkEngelska
SerieSpringerBriefs in Applied Sciences and Technology
Antal sidor133
FörlagSpringer International Publishing AG
ISBN9783031778360

Tillhör följande kategorier

Tillämpad fysik inom Naturvetenskap och teknik
Energiteknik inom Naturvetenskap och teknik
Biomedicinsk teknik inom Medicin
Nätverk och kommunikation inom Data och IT

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.