3D Micro-Expression Recognition Based on Adaptive Dynamic Vision by Weiyi Kong, Zhisheng You, Xuebin Lv

“…Finally, a cascaded pyramid structure is constructed by the multi-level adaptive dynamic encoder, and the multi-level head perceptron is used as the input into the classification loss function to calculate facial micro-motion features in the dynamic video stream. …”
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Comparative Analysis of a Quantum SVM With an Optimized Kernel Versus Classical SVMs by Matheus Cammarosano Hidalgo

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On Convergence Rate of MRetrace by Xingguo Chen, Wangrong Qin, Yu Gong, Shangdong Yang, Wenhao Wang

“…Off-policy is a key setting for reinforcement learning algorithms. In recent years, the stability of off-policy learning for value-based reinforcement learning has been guaranteed even when combined with linear function approximation and bootstrapping. …”
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Adaptive Actor-Critic Based Optimal Regulation for Drift-Free Nonlinear Systems by Ashwin P. Dani, Shubhendu Bhasin

“…In this paper, a continuous-time adaptive actor-critic reinforcement learning (RL) controller is developed for drift-free uncertain nonlinear systems. …”
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The Role of Autophagy and Cell Communication in COPD Progression: Insights from Bioinformatics and scRNA-seq by Kaiqi Ren, Lu Zou, Jingjing Yang, Yuxiu Wang, Lingfeng Min

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ELFA-Log: Cross-System Log Anomaly Detection via Enhanced Pseudo-Labeling and Feature Alignment by Xiaowei Zhao, Kaiwei Guo, Mingting Huang, Shaojian Qiu, Lu Lu

“…Additionally, a distance-based loss function optimizes the shared representation of cross-system log features. …”
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Multi-Target Detection Algorithm for Fusion Images Based on an Attention Mechanism by Zhenge Qu, Zhuoning Dong, Yuxin Guo, Hui Ren, Hongyang Fu

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Leveraging large language models for comprehensive locomotion control in humanoid robots design by Shilong Sun, Chiyao Li, Zida Zhao, Haodong Huang, Wenfu Xu

“…Traditional reinforcement learning (RL) approaches for robot locomotion are resource-intensive and rely heavily on manually designed reward functions. …”
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Role of artificial intelligence in medical radiology and imaging by Mohd Arfat, T. K. Nisha, Sapna Sahu, Mohd Rashid

“…It highlights its vital function in infection detection and control, as evidenced by its impact during the coronavirus disease 2019 (COVID-19) pandemic. …”
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A new approach for heat flux estimation in composite materials by Mohammad Saraireh

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Addressing Hybrid Confounder Issue for Causal Session-Based Recommendation by Quan Li, Xinhua Xu, Jinjun Liu, Guangmin Li

“…Finally, the objective function is constructed by cross entropy and KL scatter, and the model parameters are learned. …”
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MACRPO: Multi-agent cooperative recurrent policy optimization by Eshagh Kargar, Ville Kyrki

“…Second, we propose a new advantage function that incorporates other agents’ rewards and value functions by controlling the level of cooperation between agents using a parameter. …”
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An Improved YOLOv7-Tiny-Based Algorithm for Wafer Surface Defect Detection by Mengyun Li, Xueying Wang, Hongtao Zhang, Xiaofeng Hu

“…Finally, the loss function is optimized by adopting IoU with minimum points distance (MPDIoU) to address issues such as small sizes and dense distributions. …”
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Experiment study on UAV target detection algorithm based on YOLOv8n-ACW by Bo Xue, Bowen Zhang, Qin Cheng

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RIS-UNet: A Multi-Level Hierarchical Framework for Liver Tumor Segmentation in CT Images by Yuchai Wan, Lili Zhang, Murong Wang

“…The deep learning-based analysis of liver CT images is expected to provide assistance for clinicians in the diagnostic decision-making process. …”
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Physics-Informed Neural Network-Based Inverse Framework for Time-Fractional Differential Equations for Rheology by Sukirt Thakur, Harsa Mitra, Arezoo M. Ardekani

“…Our approach incorporates a customized residual loss function scaled by the standard deviation of observed data to enhance robustness. …”
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Self-Supervised Pretraining and Quantization for Fault Tolerant Neural Networks: Friend or Foe? by Rosario Milazzo, Sophie M. Fosson, Lia Morra, Luca Sterpone

“…Specifically, self-supervised learning (SSL) as a pre-training technique has been shown to enhance the robustness of learned features, resulting in improved performance on downstream tasks. …”
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Transformation-Based Data Synthesis for Limited Sample Scenario by Chang-Hwa Lee, Sang Wan Lee

“…Our proposal for resolving this issue is to learn a pair-wise transformation function (e.g., spatial or appearance) between given samples. …”
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A Small-Sample Target Detection Method of Side-Scan Sonar Based on CycleGAN and Improved YOLOv8 by Ye Zheng, Jun Yan, Junxia Meng, Ming Liang

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Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel by Christine Ahrends, Mark W Woolrich, Diego Vidaurre

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