Edge AI

Edge AI: Computation and Intelligence examines deployment of artificial intelligence and machine learning on constrained devices covering edge computing architectures and real-time processing capabilities. The book addresses computational limitations, optimization techniques, and inference acceleration strategies. Coverage includes neural network compression, quantization approaches, and edge device implementation. The work explores applications in IoT, smart devices, autonomous systems, and mobile computing. Topics address latency reduction, bandwidth optimization, and distributed intelligence deployment. The book emphasizes practical applications and real-world constraints. Designed for engineers, researchers, and developers, this resource develops understanding of edge AI technologies enabling intelligent computing at network boundaries.Organized Crime and Transnational Threats examines criminal networks operating across national borders analyzing trafficking, money laundering, cybercrime, and transnational organized crime phenomena. The book investigates law enforcement challenges, international cooperation, and prevention strategies addressing contemporary security threats. Coverage includes organized crime structures, operational methods, and evolving criminal technologies. The work addresses specific threats including human trafficking, drug smuggling, financial crimes, and terrorism financing. Topics cover international legal frameworks, cooperation mechanisms, and policy responses. Designed for criminologists, law enforcement professionals, policymakers, and students, this resource develops understanding of organized crime dynamics and transnational security challenges in globalized contexts.