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 developments in AI have proven that combining domain expertise and stakeholder insights can considerably improve AI's quality, performance, and dependability in the psychology and brain sciences. Recent Developments in Machine and Human Intelligence studies original empirical work, literature reviews, and methodological papers that establish and validate precision AI methods for human performance optimization with a focus on modeling individual differences via state-of-the-art computational methods and investigating how domain expertise and human judgment can improve the performance of AI methods. The topics are crafted in such a way as to cover all the areas of artificial and human intelligence that require AI for further development. This book contains algorithms and techniques that are explained with the help of developed source code and encompasses the readiness and needs for advancements in managing yet another pandemic in the future. It is designed for academicians, scientists, research scholars, professors, graduates, undergraduates, and students.

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. Facilitating 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.

An seismic classification system was designed for the recognition of different vehicle categories: wheeled and tracked vehicle. The focus of this research was to study the usability of seismic features for distinction between these classes in traffic scenarios which include low and high vehicle's velocity and a combined traffic situation.classification system can be extended in a way that extracted features are utilized as characteristic fingerprints, which affords tracking of vehicles over multiple sensor nodes.