Alexandru Tugui – författare

This book presents a comprehensive collection of research chapters focusing on innovative solutions to energy and sustainability challenges. It reflects the collaborative efforts of researchers worldwide, showcasing novel approaches to complex problems. Topics discussed range from securing cyber-physical systems to revolutionizing healthcare with AI and robotics, emphasizing sustainable research. The book emphasizes smart and sustainable energy solutions, highlighting advancements in solar panel efficiency, fault analysis, and fuzzy-controlled converters for grid-tied photovoltaic systems. Additionally, it explores AI's transformative potential in water solutions, agriculture, and renewable energy technologies across domains like smart cities, transportation, and healthcare. The insights shared aim to inspire further research, foster discussions, and drive real-world impact toward a resilient, inclusive, and sustainable future.·         Discusses issues and offers sustainable solutions to meet the challenges faced by today's economy and industry.·         Presents recent research in the sustainable transformation of engineering and technological systems.·         Serves as a valuable resource for both academic researchers and industry practitioners interested in Artificial Intelligence (AI) and smart energy sectors.

This book presents a comprehensive collection of research chapters focusing on innovative solutions to energy and sustainability challenges. It reflects the collaborative efforts of researchers worldwide, showcasing novel approaches to complex problems. Topics discussed range from securing cyber-physical systems to revolutionizing healthcare with AI and robotics, emphasizing sustainable research. The book emphasizes smart and sustainable energy solutions, highlighting advancements in solar panel efficiency, fault analysis, and fuzzy-controlled converters for grid-tied photovoltaic systems. Additionally, it explores AI's transformative potential in water solutions, agriculture, and renewable energy technologies across domains like smart cities, transportation, and healthcare. The insights shared aim to inspire further research, foster discussions, and drive real-world impact toward a resilient, inclusive, and sustainable future.·         Discusses issues and offers sustainable solutions to meet the challenges faced by today's economy and industry.·         Presents recent research in the sustainable transformation of engineering and technological systems.·         Serves as a valuable resource for both academic researchers and industry practitioners interested in Artificial Intelligence (AI) and smart energy sectors.

This book presents a comprehensive collection of research chapters focusing on innovative solutions to energy and sustainability challenges. It reflects the collaborative efforts of researchers worldwide, showcasing novel approaches to complex problems. Topics discussed range from securing cyber-physical systems to revolutionizing healthcare with AI and robotics, emphasizing sustainable research. The book emphasizes smart and sustainable energy solutions, highlighting advancements in solar panel efficiency, fault analysis, and fuzzy-controlled converters for grid-tied photovoltaic systems. Additionally, it explores AI's transformative potential in water solutions, agriculture, and renewable energy technologies across domains like smart cities, transportation, and healthcare. The insights shared aim to inspire further research, foster discussions, and drive real-world impact toward a resilient, inclusive, and sustainable future.·         Discusses issues and offers sustainable solutions to meet the challenges faced by today's economy and industry.·         Presents recent research in the sustainable transformation of engineering and technological systems.·         Serves as a valuable resource for both academic researchers and industry practitioners interested in Artificial Intelligence (AI) and smart energy sectors.

This book presents a comprehensive collection of research chapters focusing on innovative solutions to energy and sustainability challenges. It reflects the collaborative efforts of researchers worldwide, showcasing novel approaches to complex problems. Topics discussed range from securing cyber-physical systems to revolutionizing healthcare with AI and robotics, emphasizing sustainable research. The book emphasizes smart and sustainable energy solutions, highlighting advancements in solar panel efficiency, fault analysis, and fuzzy-controlled converters for grid-tied photovoltaic systems. Additionally, it explores AI's transformative potential in water solutions, agriculture, and renewable energy technologies across domains like smart cities, transportation, and healthcare. The insights shared aim to inspire further research, foster discussions, and drive real-world impact toward a resilient, inclusive, and sustainable future.·         Discusses issues and offers sustainable solutions to meet the challenges faced by today's economy and industry.·         Presents recent research in the sustainable transformation of engineering and technological systems.·         Serves as a valuable resource for both academic researchers and industry practitioners interested in Artificial Intelligence (AI) and smart energy sectors.

This book discusses the latest developments in computing techniques that power smart energy and sustainable solutions.

This book discusses the latest developments in computing techniques that power smart energy and sustainable solutions.

This book is a collection of best selected research papers presented at International Conference on Trends in Sustainable Computing and Machine Intelligence (ICTSM 2025) organized by Stamford International University, Bangkok, Thailand, during September 19–20, 2025. The book includes original research by researchers working in the field of machine learning. The book covers important topics like decision support systems, neural networks and applications, machine learning, natural language processing, automated problem solving, AI and evolutionary algorithms, intelligent information systems, computational intelligence, computer vision and image processing, cognitive and biologically inspired vision, soft computing and applications, hybrid intelligent systems, distributed computing, pattern recognition and analysis, ubiquitous and high-performance computing, security, trust and privacy, big data for sustainable computing, and energy-aware machine learning.

This book provides an overview of current advancements in research related to artificial intelligence (AI), the internet of things (IoT), machine learning (ML), and intelligent computerized systems. It includes state-of-the-art innovative methodologies and real-time examples in a range of the technical fields discussed. The chapters address emerging serious concerns related to wireless networks, sustainability, cybersecurity, deep learning applications within the medical research field, automated intelligent systems, and smart surveillance guidance systems. Additionally, the discussions include reinforcement learning, explainable AI, multilayer deep learning, and optimization defined by experimental results based on benchmark datasets and within real-time environments. Through the integration of theoretical foundations with practical implementation studies, the chapters provide insights into developing scalable, energy-efficient, and secure intelligent systems for future digital environments. Encompassing current research trends within the intelligent data-driven, advanced computational intelligence field, this book will be of a great resource for researchers, industry practitioners, and graduate students.

This book details an array of modern research investigations about the intersection of artificial intelligence (AI), deep learning (DL), embedded intelligence, blockchain technologies, and data-driven decision-making systems while facing many new challenges raised by emerging technologies within health care, cybersecurity, smart infrastructure, sustainable energy, and intelligent automation. The chapters included in this book investigate different prototypes, case studies, projects, and solutions developed by researchers. Each included chapter has integrated advanced computational models with the perspectives of implementing those models in the real world to create new theories that will lead to new, explainable, secure, and scalable AI-based systems for creating the next-generation digital ecosystems. Overall, this book is a compilation of theoretical concepts with practical applications that cover multimodal learning, explainable AI, hybrid optimization frameworks, predictive analytics, and autonomous systems. This book provides an excellent reference for researchers, academicians, graduate students, and working professionals from various industries.

The book is a collection of best selected research papers presented at International Conference on Trends in Sustainable Computing and Machine Intelligence (ICTSM 2023) organized by Stamford International University, Bangkok, Thailand, during October 5–6, 2023. The book includes original research by researchers working in the field of machine learning. The book covers important topics like decision support systems, neural networks and applications, machine learning, natural language processing, automated problem solving, AI and evolutionary algorithms, intelligent information systems, computational intelligence, computer vision and image processing, cognitive and biologically inspired vision, soft computing and applications, hybrid intelligent systems, distributed computing, pattern recognition and analysis, ubiquitous and high-performance computing, security, trust and privacy, big data for sustainable computing, and energy-aware machine learning.