Mario R. Guarracino – författare

This book provides a comprehensive set of advanced tools, models, and case-based insights to support more efficient, safer, and sustainable transport systems. It enables readers to translate recent scientific advances into practical solutions for infrastructure design, mobility management, and logistics optimization.The book approaches its subject matter through an integrated and application-oriented framework that combines artificial intelligence, computational modeling, optimization techniques, and infrastructure engineering. Particular emphasis is placed on bridging theory and practice through empirically grounded studies and implementation-focused methodologies. A key novelty of the book lies in the systematic integration of digital technologies such as digital twins, federated learning, and cyber-physical systems with sustainability objectives, allowing the joint consideration of system performance, resilience, and environmental impact.The scope of the book spans six interrelated thematic areas: intelligent transport systems; sustainable mobility and environmental impacts; infrastructure development and smart logistics; urban passenger transport; transport engineering and optimization; and policy and digital transformation. The contributions address a wide range of topics, including congestion prediction, spatiotemporal traffic modeling, AI-driven logistics management, safety and risk assessment, multimodal transport systems, route optimization, and the digitalization of transport infrastructure. The book reflects a broad international perspective, bringing together diverse methodological approaches and case studies that demonstrate the global relevance of the presented research.The book is intended for researchers, engineers, practitioners, and graduate students working in intelligent transportation systems, infrastructure planning, logistics, and smart city development.Key uses include supporting advanced and applied research, informing infrastructure planning and policymaking, guiding the implementation of intelligent and sustainable transport solutions, and serving as a resource for graduate-level education and professional training.

This book presents an exciting collection of contributions based on the workshop “Bringing Maths to Life” held October 27-29, 2014 in Naples, Italy.  The state-of-the art research in biology and the statistical and analytical challenges facing huge masses of data collection are treated in this Work. Specific topics explored in depth surround the sessions and special invited sessions of the workshop and include genetic variability via differential expression, molecular dynamics and modeling, complex biological systems viewed from quantitative models, and microscopy images processing, to name several. In depth discussions of the mathematical analysis required to extract insights from complex bodies of biological datasets, to aid development in the field novel algorithms, methods and software tools for genetic variability, molecular dynamics, and complex biological systems are presented in this book. Researchers and graduate students in biology, life science, and mathematics/statistics will find the content useful as it addresses existing challenges in identifying the gaps between mathematical modeling and biological research. The shared solutions will aid and promote further collaboration between life sciences and mathematics.

This book presents an exciting collection of contributions based on the workshop “Bringing Maths to Life” held October 27-29, 2014 in Naples, Italy.  The state-of-the art research in biology and the statistical and analytical challenges facing huge masses of data collection are treated in this Work. Specific topics explored in depth surround the sessions and special invited sessions of the workshop and include genetic variability via differential expression, molecular dynamics and modeling, complex biological systems viewed from quantitative models, and microscopy images processing, to name several. In depth discussions of the mathematical analysis required to extract insights from complex bodies of biological datasets, to aid development in the field novel algorithms, methods and software tools for genetic variability, molecular dynamics, and complex biological systems are presented in this book. Researchers and graduate students in biology, life science, and mathematics/statistics will find the content useful as it addresses existing challenges in identifying the gaps between mathematical modeling and biological research. The shared solutions will aid and promote further collaboration between life sciences and mathematics.

This book constitutes thoroughly refereed post-conference proceedings of the workshops of the 16th International Conference on Parallel Computing, Euro-Par 2010, held in Ischia, Italy, in August/September 2010. The papers of these 9 workshops HeteroPar, HPCC, HiBB, CoreGrid, UCHPC, HPCF, PROPER, CCPI, and VHPC focus on promotion and advancement of all aspects of parallel and distributed computing.