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Data-Driven Decision Making for Long-Term Business Success
In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic ...
Data-Driven Intelligent Business Sustainability
Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.
Advances in Artificial and Human Intelligence in the Modern Era
In the realm of psychological and brain sciences, there is a growing urgency to refine individual performance using personalized interventions that account for unique cognitive and biological attributes. Yet, the quest for such tailored approaches has proven challenging, as conventional methods often fall short. The limited integration of domain expertise and human judgment curtails the potential of artificial intelligence (AI) in effectively optimizing human performance, particularly in areas like customized training, health monitoring, and cognitive enhancement. Bridging the gap between AI capabilities and the specific requirements of individuals becomes crucial in meeting this rising dema...
Computational Intelligence for Clinical Diagnosis
This book contains multidisciplinary advancements in healthcare and technology through artificial intelligence (AI). The topics are crafted in such a way to cover all the areas of healthcare that require AI for further development. Some of the topics that contain algorithms and techniques are explained with the help of source code developed by the chapter contributors. The book covers the advancements in AI and healthcare from the Covid 19 pandemic and also analyzes the readiness and need for advancements in managing yet another pandemic in the future. Most of the technologies addressed in this book are added with a concept of encapsulation to obtain a cookbook for anyone who needs to reskill or upskill themselves in order to contribute to an advancement in the field. This book benefits students, professionals, and anyone from any background to learn about digital disruptions in healthcare.
Artificial Intelligence for Smart Healthcare
This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field.
Recent Developments in Machine and Human Intelligence
Establishing the means to improve performance in healthy, clinical, and military populations has long been a focus of study in the psychological and brain sciences. However, a major obstacle to this goal is generating individualized performance phenotypes that allow for the design of interventions that are tailored to the specific needs of the individual. Recent developments in artificial intelligence (AI) have qualified for the development of precision approaches that consider individual differences, allowing, for example, the establishment of individualized training, preparation, and recuperation programs optimal for an individual’s cognitive and biological phenotype. Corollary developme...
Vision Zero for Sustainable Road Safety in Baltic Sea Region
This book gathers papers presented at the International Conference “Vision Zero for Sustainable Road Safety in Baltic Sea Region”, held on December 2018 at Vilnius Gediminas Technical University, in Vilnius, Lithuania. Taking as a starting point the multi-national road traffic safety program Vision Zero, originated in Sweden in 1995, the book aims at showing the current situation in different countries, in terms of achieved results and new challenges in both policy implementation and available technologies. A special emphasis is given to themes such as safety of smart vehicles, human factors, public education, and urban planning. The book offers an extensive source of information and ideas concerning innovative transportation technologies and infrastructure. It addresses both researchers and decision-makers in this field.
Handbook of Research on Learning in Language Classrooms Through ICT-Based Digital Technology
The study of learning versus teaching development has a significant impact on facilitating learners’ development to use ICT-based digital technology. As innovation has developed, it has also changed how instructors connect with their understudies and study halls. To better understand these technological developments, further study is required. The Handbook of Research on Learning in Language Classrooms Through ICT-Based Digital Technology considers technology from the fields of ICT-based digital technology, facilitating learning, teaching development, language, and linguistics. This book also assesses the effectiveness of technology uses in ICT-based digital technology and language classrooms as well as considers the successful methods of teaching and language topics in the teaching-learning phase through technology. Covering key topics such as artificial intelligence, gamification, media, and technology tools, this premier reference source is ideal for computer scientists, administrators, principals, researchers, academicians, practitioners, scholars, instructors, and students.
