Titlebook: Cutting Edge Applications of Computational Intelligence Tools and Techniques; Kevin Daimi,Abeer Alsadoon,Luis Coelho Book 2023 The Editor(

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Using Artificial Neural Networks to Predict Critical Displacement and Stress Values in the Proximal ons, however, is rising today. As a result, classic solution methods typically require more processing power and exhibit higher computational costs. To lower the computing cost associated with the numerical analysis, machine learning approaches can be coupled with the FEM and used as surrogate solve

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An Integrated Model for Automated Identification and Learning of Conversational Gestures in Human–Ro, express mental states, describe entities and actions in dialogs, and provide object localization. Cognitive psychologists have proposed many classifications of human gestures, based upon discourse analysis, head-motion, and hand-motion and shapes. Many machine and deep learning techniques have bee

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Computational Intelligence Methods for User Matching However, there are still many issues here, mainly in efficiency and effectiveness. As the time complexity of direct one-to-one user matching is .(.) (Suppose there are . users on one platform and . users on another platform), the computation time increases exponentially as the number of users grows

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ATIAS: A Model for Understanding Intentions to Use AI Technologys. ATIAS (AI Trust and Intention to use AI Systems) is a hybrid model that combines AI ethics variables with technology acceptance model (TAM) variables. The approach is appropriate for surveys of large populations of consumers and other decision-makers to collect data on their levels of trust in AI

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Electronics Engineering Perspectives on Computer Vision Applications: An Overview of Techniques, Subn tasks, key techniques, and algorithms. Traditional feature extraction methods and deep learning techniques, including prominent algorithms like Region-Based Convolutional Neural Network (R-CNN) and You Only Look Once (YOLO), are explored. We discuss important sub-areas such as image classification

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