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This book presents a multidisciplinary exploration of sustainable development, integrating themes such as environmental management, social sciences, and AI-driven technology. It covers innovative approaches to sustainability in agriculture, biodiversity, energy, and urban planning, while addressing social equity, human rights, and the role of education. The book also highlights the impact of AI and technology on public health, resource management, and smart cities, alongside discussions on governance, policy, and ethical dimensions of sustainability. With contributions on economic growth, public health, and environmental justice, it serves as a comprehensive guide for advancing global sustainability initiatives.
Inhaltsverzeichnis
Benchmarking Generative Models for Interior Image Synthesis and Creativity.- Speech Disorder detection using Convolution Neural Network.- Contextualized Learning Analytics Using Deep Learning Models for Student Performance Prediction.- Deep Learning-Based Multiformat Document Indexing and High-Speed Semantic Search System.- Utilization of Artificial Intelligence for Smart Governance and Digital Transformation: Innovative Approaches to Efficiency and Transparency.- Digital Public Sentiments and Governance: An Analytical Study on BBMP through Twitter Data.- Harnessing Social Media Data for Ethical and Sustainable Technological Innovation: Challenges and Frameworks.- Smart Election Candidates Relationships and Reciprocity with 'Candidate Index Score' and Other Innovative Features.- Electricity Load Forecasting Using Hybrid Statistical, Machine Learning and Deep Learning Methods.- Advancing Breast Cancer Histopathology Classification with Vision Transformers.- Optimized Image Caption Generation with DenseNet and LSTM Networks for Accurate Descriptions.- Using Generative Adversarial Network for Anomaly Detection in Medical Field.- UMEGA THEORY on Citizen Perspectives of Yogyakarta City in Digital Government Transformation Based on Jogja Smart Service (JSS) on the SmartCity Concept.- Infrared Object Detection Method based on YOLOv8 with CBAM Attention.
Über den Autor / die Autorin
Alaa Ali Hameed obtained his Master's degree in Computer Engineering from Eastern Mediterranean University in North Cyprus, followed by a Ph.D. from Selcuk University in Turkey. He completed his Postdoctoral research at Istanbul University. He has held academic positions as an Assistant Professor at Istanbul Aydin University and Istanbul Sabahattin Zaim University, and currently serves in the same capacity at Istinye University. Hameed has an impressive record of over 100 publications in prestigious international journals and conferences, demonstrating his prolific contribution to the field. He has also taken on significant leadership roles, including serving as Conference Chair, Program Chair, and Technical Program Committee member for various international conferences. In addition, he has contributed to the academic community as an editor for several books and as a reviewer for numerous journals. His editorial contributions extend to serving as a Guest Editor for several SCIE-indexed journals. Hameed's research interests are diverse and include Data Mining, Machine/Deep Learning, Big Data Analytics, Artificial Intelligence, Digital Signal/Image Processing, and Adaptive Filters. He is also actively involved in multidisciplinary fields such as AI-Driven Technology and Social Sciences for a Sustainable Future. His work in these areas has included organizing conferences and events focusing on Social Sciences, Technology, and AI, further establishing his expertise and influence in these fields. He has actively participated in numerous research activities, further cementing his academic and research contributions.
