Machine Learning Algorithms for Problem Solving in Computational Applications

This book explores the possibility of building the resilience of the UNESCO cultural landscapes, both using theoretical conceptions and practical strategies and actions. Two case studies have been selected, one in Italy and one in China, which have then been explored for the first time in such a comparative way. Different notions of landscape, as well as the driving force of changes affecting these landscapes, are examined and compared.Moreover, the perceptions of the local communities regarding these landscapes are examined, using online questionnaires with over 400 participants. This research highlights the need for an integrated management system, building stronger rural communities able to manage change and continuity. Five pillars to build the resilience of these landscapes have been provided, with schemes and figures, requiring a people-centered approach in their management.This book demonstrates strong connections between identity and landscape resilience, especially in inlandar

This book illustrates and explains the key concepts of business data analytics from scratch, tackling the day-to-day challenges of a business data analyst. It provides you with all the professional tools you need to predict online shop sales, to conduct A/B tests on marketing campaigns, to generate automated reports with PowerPoint, to extract datasets from Wikipedia, and to create interactive analytics Web apps. Alongside these practical projects, this book provides hands-on coding exercises, case studies, the essential programming tools and the CRISP-DM framework which you'll need to kickstart your career in business data analytics.The different chapters prioritize practical understanding over mathematical theory, using realistic business data and challenges of the Junglivet Whisky Company to intuitively grasp key concepts and ideas. Designed for beginners and intermediates, this book guides you from business data analytics fundamentals to advanced techniques, covering a large number

This book provides an overview of multiple aspects of spatial language understanding and explores recent trends of modeling based on very large foundational models and their applications. The authors address the following five main themes: spatial semantic representations in both symbolic and sub-symbolic spaces; spatial information extraction computational models; reasoning over spatial language; commonsense spatial understanding; and multiple modern and state-of-the-art downstream applications of spatial language understanding including dialogue systems, narrative discourse, and grounding language in the physical world with the multi-modal problem settings. One of the essential functions of natural language is to express spatial relationships between objects. Linguistic constructs can encode highly complex structures of objects, spatial relations between them, and patterns of motion through space relative to a reference point. The complexity of spatial language understanding and its

This book constitutes the refereed post-conference proceedings of the 5th International Conference on IoT and Big Data Technologies for Health Care, IoTCARE 2024, which took place December 7-8, 2024, in Leicester, UK. The conference aims to provide a forum for presentation and discussion the state-of-art and future perspectives of Internet of Things and big data of health care. Industry experts, researchers and academics gather to share ideas and experiences surrounding frontier technologies, breakthroughs, innovative solutions and research results, as well as initiatives related to IoT and health care, and their applications. The topic focuses on the convergence of IoT and big data technologies for e-health, e-care, lifestyle, aging population, smart personal living, etc., applications.

This book describes in detail a research project dedicated to liquid-particle flow using ultrasound techniques. The project consists of theoretical, experimental, data science, finite element modeling, mechanical design and project management components. The objective of the project was to develop the ultrasonic methodology for measurement and characterization of liquid flow containing solid particles, in online (real-time) measurement conditions. The project consists of primary and complementary studies. The primary studies comprise development of the ultrasonic methodology for the simultaneous measurement of the average particle concentration and flow speed parameters. The developed methodology is based on the ultrasonic attenuation spectroscopy and the sound speed measurement methods, supported by data science programs. The complementary studies include acoustic streaming, designing a small-scale rotational test cell with an annular flow channel, testing it for various applications