Deepfakes Detection by Iris Analysis by Elisabeth Tchaptchet, Elie Fute Tagne, Jaime Acosta, Danda B. Rawat, Charles Kamhoua

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Advancing Mental Health Care: Intelligent Assessments and Automated Generation of Personalized Advice via M.I.N.I and RoBERTa by Yuezhong Wu, Huan Xie, Lin Gu, Rongrong Chen, Shanshan Chen, Fanglan Wang, Yiwen Liu, Lingjiao Chen, Jinsong Tang

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Energy Demand Response in a Food-Processing Plant: A Deep Reinforcement Learning Approach by Philipp Wohlgenannt, Sebastian Hegenbart, Elias Eder, Mohan Kolhe, Peter Kepplinger

“…The food industry faces significant challenges in managing operational costs due to its high energy intensity and rising energy prices. …”
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Advancements and trends in mangrove species mapping based on remote sensing: A comprehensive review and knowledge visualization by Yuqi Wu, Chunyan Lu, Kexin Wu, Wenna Gao, Nuocheng Yang, Jingwen Lin

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AILDP: a research on ship number recognition technology for complex scenarios by Tianjiao Wei, Zhuhua Hu, Yaochi Zhao, Xiyu Fan

“…The task of ship number recognition mainly faces two challenges: first, the ship number is usually located in different parts of the hull, and due to the shooting distance, the size of the ship number can vary greatly on different vessels, making automated recognition complex. …”
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Deep reinforcement learning for multi-objective location optimization of onshore wind power stations: a case study of Guangdong Province, China by Yanna Gao, Hong Dong, Liujun Hu, Fanhong Zeng, Yuqun Gao, Zhuonan Huang, Shaohua Wang, Shaohua Wang

“…Computational experiments focus on wind-rich coastal regions of Guangdong Province, evaluating both solution quality (coverage and utilization metrics) and computational efficiency under varying problem sizes.ResultsThe DRL algorithm achieves objective values comparable to or better than those from the Gurobi-based method, while substantially reducing computation time for large problem instances. …”
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Server consolidation: A technique to enhance cloud data center power efficiency and overall cost of ownership by Mueen Uddin, Mohammed Hamdi, Abdullah Alghamdi, Mesfer Alrizq, Mohammad Sulleman Memon, Maha Abdelhaq, Raed Alsaqour

“…The cloud computing paradigm is instigated from grid and parallel computing models as it uses virtualization, server consolidation, utility computing, and other computing technologies and models for providing better information technology solutions for large-scale computational data centers. …”
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Enhancing thermal transport in chemically reacting nanoparticles using the energy source and Cattaneo-Christov heat flux model by Shazia Habib, Saleem Nasir, Zeeshan Khan, Abdallah Berrouk, Saeed Islam, Asim Aamir

“…This investigation utilizes a unique computational framework that combines Morlet Wavelet Neural Networks with Hybrid Cuckoo Search Algorithm. …”
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Light weight encryption technique: a cellular automaton based approach for securing health records by Shamama Anwar, Prashant Pranav, Supreeti Kamilya

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UAV Swarm Confrontation Using Hierarchical Multiagent Reinforcement Learning by Baolai Wang, Shengang Li, Xianzhong Gao, Tao Xie

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Limb movement detection and analysis based on visual recognition of human posture by Zhiguo Xiao, Chunxiang Wang, Tianjiao Ding, Xiangfeng Shen, Xinyuan Li, Dongni Li

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AFT-SAM: Adaptive Fusion Transformer with a Sparse Attention Mechanism for Audio–Visual Speech Recognition by Na Che, Yiming Zhu, Haiyan Wang, Xianwei Zeng, Qinsheng Du

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Numerical Simulation of Diversion Tunnel Excavation Using GPU-Accelerated Anisotropic Random Fields by Guo-jin Zhu, Yu Ning, Zhi-hao Cui, Nanxiang Hu, Qing-xiang Meng, Chun Zhu

“…In this study, a combined anisotropic random field and GPU-accelerated Cholesky decomposition algorithm is proposed for diversion tunnel excavation. …”
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Fuzzy logic expert system for evaluating the activity of university teachers by V. Florin Popescu, M. Sorin Pistol

“…The indexing of academic performance in various international databases with impact indices at different scales has led to the need for advanced computer models, such as expert systems based on fuzzy logic, proposed in this research, which address the evaluation of teachers even in the face of imprecise information and under conditions of uncertainty. …”
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UAV spatiotemporal crowdsourcing resource allocation based on deep reinforcement learning by Yaxi LIU, Xulong LI, Jiahao HUO, Wei HUANGFU

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Efficient sensor network planning based on approximate potential games by Su-Jin Lee, Young-Jin Park, Han-Lim Choi

“…For a large sensor network, the local utility function for an agent is difficult to compute, because the utility function depends on the other agents’ decisions, while each sensing agent is inherently faced with limitations in both its communication and computational capabilities. …”
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Auxiliary Teaching and Student Evaluation Methods Based on Facial Expression Recognition in Medical Education by Xueling Zhu, Roben A Juanatas

“…Facial expression recognition uses computer vision and deep learning algorithms to identify students’ emotional states. …”
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Accessible interactive learning of missing-digit arithmetic problems for students with visual disabilities by Amjad Ali, Shah Khusro, Shabbab Ali Algamdi

“…Abstract Despite the advancements in digital learning, students with visual disabilities face significant challenges in mathematics, particularly in solving arithmetic problems like missing digit identification in addition and subtraction. …”
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The analysis of Chinese National ballad composition education based on artificial intelligence and deep learning by Chao Zhang

“…Abstract This study focuses on generating national ballads with ethnic characteristics through algorithms, and exploring the application of artificial intelligence in music composition. …”
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Design and Application of Digital Twin-Based Brain Control System by Yinan Wang, Hongyang Jin, Zongwei Yao, Zhiyong Chang, Deping Wang

“…Despite the development and application of brain-computer interface (BCI) across various fields, this technology continues to face numerous challenges. …”
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