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Even since computers were invented, many researchers have been trying to understand how human beings learn and many interesting paradigms and approaches towards emulating human learning abilities have been proposed. The ability of learning is one of the central features of human intelligence, which makes it an important ingredient in both traditional Artificial Intelligence (AI) and emerging Cognitive Science. Machine Learning (ML) draws upon ideas from a diverse set of disciplines, including AI, Probability and Statistics, Computational Complexity, Information Theory, Psychology and Neurobiology, Control Theory and Philosophy. ML involves broad topics including Fuzzy Logic, Neural Networks (NNs), Evolutionary Algorithms (EAs), Probability and Statistics, Decision Trees, etc. Real-world applications of ML are widespread such as Pattern Recognition, Data Mining, Gaming, Bio-science, Telecommunications, Control and Robotics applications. This books reports the latest developments and futuristic trends in ML.
The Conference covered a wide range of themes in various disciplines. In the field of English, the conference focused on digital tools in teaching and learning, the use of AI in language teaching and learning, literature in English language teaching, teacher training, and professional development, as well as linguistic competence in English language teachers. For those interested in mathematics, the conference explored topics such as computational methods for linear and non-linear optimization, mathematical models for computer science, numerical analysis, boundary value problems, real and complex analysis, probability and statistics, fluid dynamics, sequence spaces, mathematics education, ap...
This proceedings volume presents the selected papers from the 2022 8th International Conference on Advances in Environment Research (ICAER 2022), held as an online event from April 22-24. The papers presented at the meeting and published here cover issues of environmental sustainability from both ecological and socioeconomic perspectives, including but not limited to cutting-edge topics such as biogas, green building design, climate change, and sustainable forest management. This book aims to educate readers on how sustainability research can help society understand and combat our most pressing environmental challenges. The proceedings will be helpful for graduate students, researchers, environmental planners, and industry professionals interested in understanding the utility of environmental sustainability research for improving our lives and sustaining our planet.
Music Video Games takes a look (and listen) at the popular genre of music games – video games in which music is at the forefront of player interaction and gameplay. With chapters on a wide variety of music games, ranging from well-known console games such as Guitar Hero and Rock Band to new, emerging games for smartphones and tablets, scholars from diverse disciplines and backgrounds discuss the history, development, and cultural impact of music games. Each chapter investigates important themes surrounding the ways in which we play music and play with music in video games. Starting with the precursors to music games - including Simon, the hand-held electronic music game from the 1980s, Michael Austin's collection goes on to discuss issues in musicianship and performance, authenticity and “selling out,” and composing, creating, and learning music with video games. Including a glossary and detailed indices, Austin and his team shine a much needed light on the often overlooked subject of music video games.
Feedback control systems is an important course in aerospace engineering, chemical engineering, electrical engineering, mechanical engineering, and mechatronics engineering, to name just a few. Feedback control systems improve the system's behavior so the desired response can be acheived. The first course on control engineering deals with Continuous Time (CT) Linear Time Invariant (LTI) systems. Plenty of good textbooks on the subject are available on the market, so there is no need to add one more. This book does not focus on the control engineering theories as it is assumed that the reader is familiar with them, i.e., took/takes a course on control engineering, and now wants to learn the applications of MATLAB® in control engineering. The focus of this book is control engineering applications of MATLAB® for a first course on control engineering.
These volumes relate to matters discussed during the 2003 IEEE International Symposium on Circuits and Systems, such as: analogue circuits and signal processing; communications; multimedia systems and applications; general and nonlinear circuits and systems; and neural networks and systems.