Placeholder text

Electronic Governance with Emerging Technologies

Electronic Governance with Emerging Technologies

0 - Default Title
Description
.- Communication in Social Commerce: A Source for Consumer Trust.
.- Algorithmic Decision-Making in Public Institutions: A Tripartite Analysis of Motivations and Barriers.
.- Web Mining for Job Description Analysis.
.- Energy Generating Footpaths with Adaptive Smart Street.
.- A PSO-Optimized MLP Model for Financial Time Series Forecasting: Integrating Swarm Intelligence with Deep Learning.
.- Training a neural network for early-stage detection of wheat stem rust infection.
.- Explainable ML-Based Behavioural Ransomware De-tection for Secure Digital Governance.
.- Interpretable Machine Learning Pipeline for Heart Disease Prediction Using Clinical Data.
.- An Explainable Ensemble Learning Framework for Imbalanced.
.- Community Detection and Influence Mapping in Social Media Using SNA and Centrality Metrics.
.- AI-Enhanced Wind Energy: Smarter Generation Through Predictive Modeling.
.- Intelligent Model-Driven Road Accident Prevention.
.- IoT-Enabled Smart Governance for Solar Energy Optimizationv in Intelligent Power Networks A Step Towards Society 5.0.
.- An IoT- and AI-Based Framework for Smart Municipal Waste Management in Urban E-Governance Systems.
.- Personalization in Digital Marketing: Enhancing Consumer Engagement Using AI.
.- Development of Trajectory Optimizer MATLAB-Based Software for Oil Wellbore J-Type Drilling Calculations.
.- The Impact of Modern Technology on Telecommunication Measurement Systems in a High-Demand Information Society.
.- The Role of Computer Vision in Sustainable Agriculture: Applications, Technologies, and Challenges.
.- Explainable Machine Learning for Transparent Decision-Making in E-Governance Systems.
.- Explainable AI in Healthcare: A Hybrid CNN-ViT Approach for Pneumonia Detection using SHAP.
.- Localized Decision-Making in Dynamic Social Networks Using Neighborhood Volatility and Temporal Influence.
Product details
Binding:
Paperback
Number of Pages:
336
Release Date:
2026-01-03
Publication Date:
2026-01-03
Publisher:
Springer
Languages:
Original: English
ISBN10:
3032122317
ISBN13:
9783032122315
GPSR Manufacturer Reference:
Weight:
511 g
Height:
155 cm
Width:
235 cm
Thickness:
19 cm
Currently sold out