In comparison to eight well-established metaheuristic algorithms, the proposed method demonstrated superior performance in 80% of the CEC2017 cases and 72% of the CEC2022 cases, with statistically significant i
when comparing the performance of multiple metaheuristic algorithms on an issue, the one that performs the search process more effectively and provides a better solution will outperform others. Researchers have developed numerous
Brains and algorithms partially converge in natural language processing Introduction Language comprehension is a fundamentally constructive process. We resolve local dependencies among words to assemble lower-level linguistic units into higher-level units of meaning1,2,3,4,5,6, ultimately arriving at the...
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Human Action Recognition algorithms aim at detecting and classifying human behaviors based on a different source of information. Works in this field can be mainly subdivided into two broad categories: video-based and depth-based methodologies [22]. In both, the input consists of a sequence of poi...
We studied different deep learning-based algorithms, organised in three different approaches, to process lower body RGB-D video sequences, recorded from an embedded camera of a smart walker, and classify them into 4 classes (stop, walk, turn right/left). A custom dataset involving 15 healthy ...
Cluster separation is a task typically tackled by widely used clustering techniques, such as k-means or DBSCAN. However, these algorithms are based on non-perceptual metrics, and our experiments demonstrate that their output does not reflect human cluster perception. To bridge the gap between ...
Also described are the new modeling algorithms accessible to cognitive scientists from a variety of different areas. This book is inherently interdisciplinary and contains original research in computing, engineering, artificial intelligence, psychology, linguistics, and social and system...
Hardcover €211.95 O-Book Selected type: Hardcover Quantity 1 Your Price: €211.95 *VAT information Digital Evaluation Copy Description COGNITIVE BEHAVIOR AND HUMAN COMPUTER INTERACTION BASED ON MACHINE LEARNING ALGORITHMS The objective of this book is to provide the most relevant inf...
(AI) and computer vision, novel approaches have emerged, offering biologists and neuroscientists the potential to not only estimate densities but also obtain spatial coordinates of individual neurons3,4,5,6, a much finer-grained estimation of neuron densities. Supervised segmentation algorithms based ...