Green Technologies and Sustainable Intelligence—Volume I: Theoretical Aspects and Computational Approaches

Proceedings of ISGTA-2025, November 19–21, 2025, Portalegre, Portugal

AvSérgio Duarte Correia,Mohamed Lahby

Inbunden, Engelska, 2026

Del i serien Springer Proceedings in Physics

3 765 kr

Kommande

Beskrivning

This book provides a comprehensive exploration of current theoretical research at the intersection of green technologies, computational intelligence, and sustainable systems design. This book delves into foundational insights, formal models, algorithmic developments, and simulation-based methodologies crucial for understanding intelligent, energy-efficient infrastructures. It covers advances in renewable energy modeling, artificial intelligence for green Internet of Things (IoT), green communication systems, and mathematical modeling within sustainability-driven frameworks. With a computational and systems-oriented perspective, contributors offer detailed examinations of principles enabling next-generation green technology design. Aimed at researchers, academics, and graduate students, this book provides deep insights into theoretical foundations and computational methodologies driving innovation in green and sustainable technologies.

Produktinformation

Utgivningsdatum:2026-05-01
Mått:155 x 235 x undefined mm
Format:Inbunden
Språk:Engelska
Serie:Springer Proceedings in Physics
Antal sidor:408
Förlag:Springer Nature Switzerland AG
ISBN:9783032190376

Utforska kategorier

Innehållsförteckning

The Effectiveness of Environmental Policies and the Role of Renewable Energy in Reducing CO₂ Emissions: An Empirical Analysis of OECD Countries.- Climate Change and Sustainable Livelihood in Delta State, Nigeria: The Role of Inventory Management Software.- Integrated Modeling of Dynamic Soiling and Partial Shading Effects on Photovoltaic Performance in Tropical Climates.- Green Technology and AI for Climate Resilient Economies: Mathematical Modeling and Audit of Green Finance, Water Energy Symbiosis, Intelligent sustainable Logistics, and Knowledge Driven Innovation.- Leakage safe machine learning for short term wind speed forecasting from scada.- Contribution to the improvement of power transformer maintenance based on the treatment of internal faults.- Solar Pumping and Water Management in Morocco : Challenges for Water and Food Security in the Fquih Ben Salah Province.- A Social Technical IS Perspective on Smart Meters in Smart Grids.- From HR Data to Strategic Decisions Identifying Ky Frivers of Employee retention.- Design and Development of an IoT Based Smart Aquaponic System for Urban Food Sustainability.- ICT for teaching physics and chemistry in Morocco: Evaluation of the usefulness, usability, and acceptability of a digital resource.- Understanding the Drivers of Green Entrepreneurial Intentions: An Application of Shapero’s Entrepreneurial Event Model.- Bridging Education 5.0 and SDG 4.7: Preservice Teachers’ Perceptions of Sustainability in Education across Gender.- A Fuzzy Clustering Approach to Predict Facade Preferences in Residential Buildings.- An Integrated Multisensor and LSTM Based Deep Learning Storm Sewer System for Real Time Flood Risk Prediction and Mitigation.- Using Artificial Intelligence to address the effect of Climate Change on the Revenue of Smallholder Farmers in Delta State, Nigeria.- Hybrid Neuro Augmented Learning Framework using Transformer Driven Class aware Data Augmentation for Tomato Leaf Disease Classification.- Tourists as Nodes:A Blockchain-based Framework for Decentralized Tourist Flow optimization.- Stochastic Modeling of Disruption Dynamics and Resilience in Transportation Logistics Networks.- Towards Sustainable Computational Intelligence: A Fine Tuned Convolutional Neural Network SIFT Model for Image Analysis.- TinyML for Epileptic Seizure Detection: A State of the Art Review.- Empowering Future Leaders Through 2TBL: Integrating Team and Task Based Learning for Effective Education on SDGs and Professional Communication.- TinyML: Small Models Making a Big Impact.- Energy Efficient in Green Flow shop scheduling with assembly machine, task grouping and set up times.- The Main Determinants of the Ecological Transition in Road Transport in Leading Countries: Analysis Using the Decision Tree Technique.- Sustainable Security for IoT Networks: Leveraging Edge and Cloud Computing for Energy Efficient Cyberattack Management.- Cross Protocol Attack Detection in IoMT Using Feature Optimized Learning.- Toward Green Cloud Security: Data Driven Threat Detection with Computation Aware Scheduling.- Artificial Intelligence and SDN in Integrating Multi Precautionary Measures for Securing IoT Systems of Renewable Energy Technologies.- Binary Neural Networks for Low Latency DDoS Detection in Edge Fog Computing.- Physics Aware Lightweight Artificial Intelligence (AI) for Bearing Fault Diagnosis in Industry 4.0 Predictive Maintenance.