New technological communication methods have created new kinds of interactions among us that have allowed people across the globe to become closer, but they have also created more complex global dynamics. These dynamics have expanded the workings of human behavior, making human-seeming artificial intelligence a more difficult goal to achieve. Human Behavior and Another Kind in Consciousness: Emerging Research and Opportunities is a crucial reference book that examines human consciousness and how it can translate into artificial intelligence. Covering important topics such as cloud computing, human behavior, and intelligent systems, this book is ideal for engineers, researchers, academicians, and students in the fields of computer science, artificial intelligence, operations research, and intelligent systems.

In our fast-paced, technology-driven world, there is a strong sense of untapped potential and unfulfilled promises. People today possess an unprecedented amount of power through their technological gadgets but often remain unaware of how to wield it effectively. This lack of understanding and agency leads to a plethora of societal problems, from passive consumerism to environmental degradation, fostering a sense of helplessness. Considerations of Cyber Behavior and Mass Technology in Modern Society offer a comprehensive solution to this pressing issue. It is a scholarly beacon, guiding academic scholars and critical thinkers toward a profound reassessment of our relationship with technology and society. By delving into the intricate web of topics such as active citizenship, global information production, and the coexistence of consumer technology and freedom, our book presents an opportunity to explore the root causes of our modern-day challenges.

Advances in technological innovations, automation, and the latest developments in artificial intelligence (AI) have revolutionized the nature of work and created a demand for a new set of skills to navigate the Fourth Industrial Revolution (Industry 4.0). Therefore, it is necessary to equip displaced workers with a new set of skills that are essential for conversion into technical or other functional areas of business. Human Capital Formation for the Fourth Industrial Revolution is an essential research publication that recognizes the need to revitalize human capital formation for graduate employability in Industry 4.0 and discusses new skills and competencies needed to cope with the challenges present within this industrial revolution. The book seeks to provide a basis for curriculum design in line with the advances in technological innovations, automation, and artificial intelligence to enhance current and future employment. Featuring an array of topics such as curriculum design, emotional intelligence, and healthcare, this book is ideal for human resource managers, development specialists, training officers, teachers, universities, practitioners, academicians, researchers, managers, policymakers, and students.

Between adolescence and adulthood, individuals begin to explore themselves mentally and emotionally in an attempt to figure out who they are and where they fit in society. Social technologies in the modern age have ushered in an era where these evolving adolescents must circumvent the negative pressures of online influences while also still trying to learn how to be utterly independent. Recent Advances in Digital Media Impacts on Identity, Sexuality, and Relationships is a collection of critical reference materials that provides imperative research on identity exploration in emerging adults and examines how digital media is used to help explore and develop one’s identity. While highlighting topics such as mobile addiction, online intimacy, and cyber aggression, this publication explores a crucial developmental period in the human lifespan and how digital media hinders (or helps) maturing adults navigate life. This book is ideally designed for therapists, psychologists, sociologists, psychiatrists, researchers, educators, academicians, and professionals.

Deep learning, often known as DL, is an approach to machine learning that is increasingly seen as the way of the future. Because of its impressive power of learning high-level abstract characteristics from enormous amounts of data, DL garners a lot of interest and also has a lot of success in pattern recognition, computer vision, data mining, and knowledge discovery. This is why DL is so successful in these areas. This book will not only seek to give a basic roadmap or direction to the existing deep learning approaches, but it will also highlight the problems and imagine fresh views that can lead to additional advancements in this subject. One of the most talked about topics in data science today is deep learning. Deep learning is a subfield of machine learning that makes use of sophisticated algorithms that take their cues from the way our own neural networks are wired and operate. The goal of this book is to provide a thorough introduction to deep learning, including an examination of its underlying algorithms, a presentation of its most recent theoretical advancements, a discussion of the most popular deep learning platforms and data sets, and an account of the significant advances made by a wide range of deep learning methodologies in areas such as text, video, image, speech, and audio processing.

Technology and particularly the Internet have caused many changes in the realm of politics. Aspects of engineering, computer science, mathematics, or natural science can be applied to politics. Politicians and candidates use their own websites and social network profiles to get their message out. Revolutions in many countries in the Middle East and North Africa have started in large part due to social networking websites such as Facebook and Twitter. Social networking has also played a role in protests and riots in numerous countries. The mainstream media no longer has a monopoly on political commentary as anybody can set up a blog or post a video online. Now, political activists can network together online. The Handbook of Research on Politics in the Computer Age is a pivotal reference source that serves to increase the understanding of methods for politics in the computer age, the effectiveness of these methods, and tools for analyzing these methods. The book includes research chapters on different aspects of politics with information technology, engineering, computer science, or math, from 27 researchers at 20 universities and research organizations in Belgium, Brazil, Cape Verde, Egypt, Finland, France, Hungary, Italy, Mexico, Nigeria, Norway, Portugal, and the United States of America. Highlighting topics such as online campaigning and fake news, the prospective audience includes, but is not limited to, researchers, political and public policy analysts, political scientists, engineers, computer scientists, political campaign managers and staff, politicians and their staff, political operatives, professors, students, and individuals working in the fields of politics, e-politics, e-government, new media and communication studies, and Internet marketing.

The brain has an inherent advantage over traditional computers in that it possesses the ability to acquire knowledge and skills via the process of learning. Nevertheless, the edge is being swiftly eradicated by a new cohort of artificial intelligence programs known as deep neural networks. The primary objective of this book is to assist readers in comprehending fundamental principles before progressing towards refining their programming abilities, ultimately enabling them to become proficient practitioners in the field of deep learning. The book covers fundamental principles in deep learning, exploring various deep learning designs such as recurrent neural networks. Additionally, it delves into contemporary advancements such as generative adversarial networks. The book serves as a comprehensive manual for the implementation of deep neural networks, including several architectures such as Multilayer Perceptron’s (MLPs), Convolutional Neural Networks (CNNs), Long Short-Term Memory networks (LSTMs), and others, inside the frameworks of Kera’s and TensorFlow. This book aims to serve as a concise resource for training and optimising deep neural networks. The book encompasses the foundational principles of neural networks, as well as the training methods used in deep neural networks. The book is highly recommended for students seeking a comprehensive reference manual on deep learning, as well as industry practitioners from many disciplines who want to embark on their data science endeavours.

More complex computing approaches have grown in popularity as technology has improved and big data has emerged. Increasing customer demand for better goods, as well as firms trying to better exploit their resources, have been driving this trend. Machine learning is a field that combines statistics, mathematics, and computer science to create and analyze algorithms that improve their own behavior in an iterative fashion by design. Initially, the discipline was committed to the development of artificial intelligence, but owing to the constraints of theory and technology at the time, it became more reasonable to concentrate these algorithms on particular tasks. Deep learning is a sort of machine learning and artificial intelligence (AI) that mimics how people acquire certain types of knowledge. Deep learning is a critical component of data science, which also covers statistics and predictive modeling. Deep learning is particularly advantageous to data scientists who are responsible with gathering, analyzing, and interpreting massive volumes of data; deep learning speeds up and simplifies this process. In this book the concept of deep learning under the machine learning is explained in every aspect. Whether, it's their fundamental concepts or the application of deep learning on daily basis.

The psychology classic—a detailed study of scientific theories of human nature and the possible ways in which human behavior can be predicted and controlled—from one of the most influential behaviorists of the twentieth century and the author of Walden Two. “This is an important book, exceptionally well written, and logically consistent with the basic premise of the unitary nature of science. Many students of society and culture would take violent issue with most of the things that Skinner has to say, but even those who disagree most will find this a stimulating book.” —Samuel M. Strong, The American Journal of Sociology “This is a remarkable book—remarkable in that it presents a strong, consistent, and all but exhaustive case for a natural science of human behavior…It ought to be…valuable for those whose preferences lie with, as well as those whose preferences stand against, a behavioristic approach to human activity.” —Harry Prosch, Ethics

In recent years, the engagement of stakeholders has become imperative for the overall success of an organization. As the global business landscape continues to evolve, promoting modern leadership techniques and engagement with the community have become two key tactics for organizations to remain competitive in the current market. Understanding and implementing these methodologies is pivotal for professionals and researchers around the globe. Civic Engagement Frameworks and Strategic Leadership Practices for Organization Development is a critical reference source that provides vital research on the implementation of strategic leadership techniques for promoting civic engagement and sustaining organizational success. While highlighting topics such as social media strategies, analytical tools, and ethical interventions, this book is ideally designed for managers, executives, politicians, researchers, business specialists, government professionals, consultants, academicians, and students seeking current research on the use of civic engagement and strategic leadership initiatives for the overall development of organizations.