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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.
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