2nd International Conference on Smart Environment and Green Technologies - ICSEGT2025
Description
This book highlights tangible advantages by illustrating methods that facilitate cleaner energy production, enhanced environmental monitoring, and stronger ecological management. Smart Environment and Green Technologies offer a curated collection of studies aimed at promoting environmentally friendly, intelligent and resource-efficient solutions.
This book includes contributions that blend AI-based modelling, IoT-integrated sensing, eco-friendly materials, renewable energy innovations, and sustainable economic plans. These showcasing strategies can be employed to tackle environmental, industrial and urban issues. Each section presents straightforward methodologies, proven outcomes and frameworks that help readers convert scientific knowledge into practical applications.
Aimed at researchers, professionals and decision-makers, this compilation serves as a solid base for the creation and enhancement of advanced environmental and sustainable economies. By offering an interdisciplinary viewpoint, this book reinforces the journey towards a more sustainable, intelligent and eco-friendly future.
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Content
A Multi-Method Approach to Detecting Anomalies in Energy Consumption.- A Window-Based Time Series Feature-Extraction and Classification Pipeline for Predictive Maintenance of Metal-Cutting Equipment.- About One Approach to the Issue of Color Interpretation in Image Recognition Problems.- Active Learning for Neural Classifiers: Selecting Training and Test Areas in Satellite Image Object Recognition.- Advancing Customs Performance Measurement: A Conceptual Framework for Enhanced and Multidimensional Key Performance Indicators.- Using Remote Sensing Techniques to Determine the Degree of Mineralization Through Artificial Neural Networks.- Verification of Criteria for Assessing the Adequacy of Recognition Methods Using the Example of Audio Signal Processing.- Wind Power Density Predicting in Mediterranean Coastal Areas Using Machine Learning Models.- XAI for Early Detection of Alzheimer's Disease Using Brain MRI.