Communications And Discoveries From Multidisciplinary Data

This book collects selected papers by authors for CODATA 2006, which are relevant to the acquisition of knowledge and the assessment of risk and opportunity that comes from combining data from a number of different disciplines.

Information Technology in Organisations and Societies: Multidisciplinary Perspectives from AI to Technostress consolidates studies on key issues and phenomena concerning the positive and negative aspects of IT use as well as prescribing future research avenues in related research.

As mobile technology becomes much more prominent in the world, its effect on the social, political, and economic realms cannot be ignored. Interdisciplinary approaches towards re-examining the prevalence of communication technologies are essential for industry professionals’ development. Interdisciplinary Mobile Media and Communications: Social, Political, and Economic Implications sheds light on emerging disciplines in multimedia technologies and discusses the changes, chances, and challenges in the mobile world. Areas such as mobile governance, mobile healthcare, and mobile identity are examined, along with their social, political, and economic implications. Serving as a reconnection between academia and industry, this book will be useful for students, professors, researchers, and policy-makers of mobile media and communications.

"This book is an updated look at the state of technology in the field of data mining and analytics offering the latest technological, analytical, ethical, and commercial perspectives on topics in data mining"--Provided by publisher.

This volume brings together diverse and divergent essays on communication as viewed by outstanding scholars in various disciplines. The authors review the mainstream of each approach to communication, sketch the dimensions of that concern, and discuss the problems and potential for future progress.Contents: Lee Thayer, "Communication: Sine Qua Non of the Behavioral Sciences"; Hubert Frings, "Zoology"; Alfred G. Smith, "Anthropology"; Richard W. Budd, "General Semantics"; Brent D. Ruben, "General System Theory"; Joseph M.R. Del-gado, "Neurophysiology"; Herbert Blumer, "Symbolic Interaction"; and Peter L. Berger, "Sociology of Knowledge."

Data Science and Interdisciplinary Research: Recent Trends and Applications is a compelling edited volume that offers a comprehensive exploration of the latest advancements in data science and interdisciplinary research. Through a collection of 10 insightful chapters, this book showcases diverse models of machine learning, communications, signal processing, and data analysis, illustrating their relevance in various fields. Key Themes: Advanced Rainfall Prediction: Presents a machine learning model designed to tackle the challenging task of predicting rainfall across multiple countries, showcasing its potential to enhance weather forecasting. Efficient Cloud Data Clustering: Explains a novel computational approach for clustering large-scale cloud data, addressing the scalability of cloud computing and data analysis. Secure In-Vehicle Communication: Explores the critical topic of secure communication in in-vehicle networks, emphasizing message authentication and data integrity. Smart Irrigation 4.0: Details a decision model designed for smart irrigation, integrating agricultural sensor data reliability analysis to optimize water usage in precision agriculture. Smart Electricity Monitoring: Highlights machine learning-based smart electricity monitoring and fault detection systems, contributing to the development of smart cities. Enhanced Learning Environments: Investigates the effectiveness of mobile learning in higher education, shedding light on the role of technology in shaping modern learning environments. Coastal Socio-Economy Study: Presents a case study on the socio-economic conditions of coastal fishing communities, offering insights into the livelihoods and challenges they face. Signal Noise Removal: Shows filtering techniques for removing noise from ECG signals, enhancing the accuracy of medical data analysis and diagnosis. Deep Learning in Biomedical Research: Explores deep learning techniques for biomedical research, particularly in the realm of gene identification using Next Generation Sequencing (NGS) data. Medical Diagnosis through Machine Learning: Concludes with a chapter on breast cancer detection using machine learning concepts, demonstrating the potential of AI-driven diagnostics.

Preface Art, Design, Communication and Fashion: An Interdisciplinary Approach; is a thought-provoking book for academics, researchers, doctoral students and policymakers interested in fine arts, design, fashion and the field, providing valuable information on contemporary issues in art, design, fashion. In this book; the first chapter aims to prepare pre-service teachers while serving the community by addressing the previously identified needs with an emphasis on the pedagogical methodology of service learning (S-L). S-L is different from volunteering and internships. In this context, the process of implementing S-L at the Royal Conservatory of Music of Granada is described. Popular culture is defined as a way of life that the majority of people in society live or will live. In the second chapter, visual art teachers' views on popular culture and approaches in classrooms are investigated. The third chapter highlights the potential for strategically designed systems, known as circadian lighting, to have a beneficial impact on people's health, alertness, productivity, and more. Since the fourth chapter is about holistic knowledge of the design process in fashion design, which is one of the fundamental skills for any graduate in the field, it is aimed to diagnose the curricular knowledge of the graduates of fashion design at the Federal Institute of Rio Grande do Norte (IFRN) - Caicó campus in the context of the idea that the student of Fashion Design should have a theoretical and practical mastery of the contents. Also this chapter aims to diagnose the level of mastery of curricular content by undergraduates in Fashion Design at IFRN – Caicó. The fifth chapter explains whether the materials of cardboard boxes and umbrellas can be recycled in fashion, as well as whether a garment can be created from the materials, in the context of economic, environmental and social sustainability concepts. The sixth chapter provides examples of how the artist uses symbols to convey a message of protection and attract attention. In general, considerations in the context of mythology studies include a close analysis of works of art that use mythological themes and symbols to represent ecosystems, and an assessment of the cultural and historical contexts in which these works of art were created. It is thought that this chapter will contribute to the ongoing study of how art fits into a broader tradition of mythical representations of natural environments and environmentalism in art. The seventh chapter discusses some sustainable design products, taking into account the importance given to the product life cycle in Portugal in the context of developing products with national and environmentally friendly materials that have the agreed-upon value for material culture. The authors of this book present a wealth of literature and research that will contribute to an understanding of the role of decision-makers and international organizations in the field of fine art in promoting growth and development. The book is an excellent resource for anyone interested in learning about the most recent trends and emerging issues in the fine art field.