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Adapted techniques of explainable artificial intelligence for explaining genetic algorithms on the example of job scheduling
YC Wang, T Chen - Expert Systems with Applications, 2024 - Elsevier
Many evolutionary artificial intelligence (AI) technologies have been applied to assist with
job scheduling in manufacturing. One of the main approaches is genetic algorithms (GAs) …
job scheduling in manufacturing. One of the main approaches is genetic algorithms (GAs) …
[HTML][HTML] Integrating virtual, mixed, and augmented reality into remote robotic applications: a brief review of extended reality-enhanced robotic systems for intuitive …
There is an increasingly urgent need for humans to interactively control robotic systems to
perform increasingly precise remote operations, concomitant with the rapid development of …
perform increasingly precise remote operations, concomitant with the rapid development of …
An automatic network structure search via channel pruning for accelerating human activity inference on mobile devices
J Liang, L Zhang, C Bu, D Cheng, H Wu… - Expert Systems with …, 2024 - Elsevier
During recent years, deep convolutional neural networks (CNNs) have become increasingly
popular in sensor-based human activity recognition (HAR), due to powerful feature …
popular in sensor-based human activity recognition (HAR), due to powerful feature …
[HTML][HTML] Improved artificial bee colony algorithm based on two-dimensional queue structure for complex optimization problems
X Pan, Y Wang, Y Lu, N Sun - Alexandria Engineering Journal, 2024 - Elsevier
In the face of increasingly complex optimization problems, the Artificial Bee Colony algorithm
still encounters some unresolved issues. For instance, the randomness involved in …
still encounters some unresolved issues. For instance, the randomness involved in …
Utilizing Multiple Regression Analysis and Entropy Method for Automated Aesthetic Evaluation of Interface Layouts
X Wang, M Tong, Y Song, C Xue - Symmetry, 2024 - mdpi.com
Aesthetic evaluation of increasingly complex and personalized human–computer interaction
interfaces serves as a critical bridge between humans and machines, fundamentally …
interfaces serves as a critical bridge between humans and machines, fundamentally …
The Emotional State Transition Model Empowered by Genetic Hybridization Technology on Human Robot Interaction
In the rapidly develo** field of Human-Robot Interaction (HRI), simulating human
emotional states poses significant challenges due to the inherent complexity and …
emotional states poses significant challenges due to the inherent complexity and …
Assessing the impact and development of immersive VR technology in education: Insights from telepresence, emotion, and cognition
Abstract Immersive Virtual Reality (VR) technology is increasingly used in education.
However, research on its impact and development in education, specifically from the …
However, research on its impact and development in education, specifically from the …
Ensemble learning based approach for the prediction of monthly significant wave heights
J Chen, X Xue - Renewable Energy, 2025 - Elsevier
The monthly significant wave height is the average of the highest one-third waves
(measured from trough to crest) that occur in a month. Accurate prediction of monthly …
(measured from trough to crest) that occur in a month. Accurate prediction of monthly …
Emotionally intelligent conversational user interfaces: Bridging empathy and technology in human-computer interaction
A Votintseva, R Johnson, I Villa - International Conference on Human …, 2024 - Springer
In our paper we explore the convergence of Conversational User Interfaces, personality
psychology, artificial intelligence, and rapid prototy** with prompt engineering as its …
psychology, artificial intelligence, and rapid prototy** with prompt engineering as its …
Non-contact rPPG-based human status assessment via feature fusion embedding anti-aliasing in industry
Remote Photoplethysmography (rPPG) is a cost-effective, and non-contact technology that
enables real-time monitoring of physiological status by extracting vital information such as …
enables real-time monitoring of physiological status by extracting vital information such as …