Vision Transformers for Image Classification: A Comparative Survey by Yaoli Wang, Yaojun Deng, Yuanjin Zheng, Pratik Chattopadhyay, Lipo Wang

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Bootstrapping OTS-Funcimg pre-training model (Botfip): a comprehensive multimodal scientific computing framework and its application in symbolic regression task by Tianhao Chen, Zeyu Li, Pengbo Xu, Haibiao Zheng

“…This approach successfully facilitates the multimodal information mining of functions, serving as the foundation for completing corresponding downstream tasks such as symbolic regression (SR). …”
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A Systematic Review of Bimanual Motor Coordination in Brain-Computer Interface by Poraneepan Tantawanich, Chatrin Phunruangsakao, Shin-Ichi Izumi, Mitsuhiro Hayashibe

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Trajectory Based Prioritized Double Experience Buffer for Sample-Efficient Policy Optimization by Shengxiang Li, Ou Li, Guangyi Liu, Siyuan Ding, Yijie Bai

“…Reinforcement learning has recently made great progress in various challenging domains such as board game of Go and MOBA game of StarCraft II. …”
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The clinical implications and interpretability of computational medical imaging (radiomics) in brain tumors by Yixin Wang, Zongtao Hu, Hongzhi Wang

“…However, radiomic analyses often function as a ‘black box’ due to their use of complex algorithms, which hinders the translation of brain tumor radiomics into clinical applications. …”
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De-speckling of medical ultrasound image using metric-optimized knowledge distillation by Mostafa Khalifa, Hanaa M. Hamza, Khalid M. Hosny

“…Incorporating them into the loss function enables the model to reduce noise and enhance image quality optimally. …”
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ATF4 participates in perfluorooctane sulfonate-induced neurotoxicity by regulating ferroptosis by Fangling Zhu, Nan Wang, Yichao Xu, Xiaohua Su, Ziliang Deng, Yongdui Ruan, Daifan Lin, Yun Chen, Zhuoni Kuang, Guanlin Chen, Chengcheng Yu, Xiaoxuan Ling, Linhua Liu

“…In mice, PFOS exposure damaged the structure and function of the hippocampus, including decreasing the number of neurons and impairing spatial learning and memory capacity. …”
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Adaptive Top-K Algorithm for Medical Conversational Diagnostic Model by Yiqing Yang, Guoyin Zhang, Yanxia Wu, Zhixiang Zhao, Yan Fu

“…With advancements in computing technology and the rapid progress of data science, machine learning has been widely applied in various fields, showing great potential, especially in digital healthcare. …”
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Surrogate-assisted optimization of roll-to-roll slot die coating by Christopher Passmore, Kai E. Wu, Jonathan R. Howse, George Panoutsos, Stephen J. Ebbens

“…Due to the lack of accurate first-principle models, machine learning offers a promising approach. This study employs Radial Basis Function Neural Networks as surrogate models trained on experimental data to optimize roll-to-roll slot die coating. …”
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CapSurv: Capsule Network for Survival Analysis With Whole Slide Pathological Images by Bo Tang, Ao Li, Bin Li, Minghui Wang

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Lysosome-derived biomarkers for predicting survival outcome in acute myeloid leukemia by Gongchang Li, Yangyang Miao, Fang Yuan, Weiran Zhang, Yali Wu, Liqiang Zhu

“…The dismal prognosis of acute myeloid leukemia (AML) patients may thus be improved by a thorough examination of the function of lysosome-related genes (LRGs). By using a variety of machine learning methods including random forest approach, LASSO-COX regression, and extreme gradient boosting (XGBoost), we create a prognostic six-LRGs-related signature (HPS1, BCAN, SLC2A8, DOC2A, CHMP4C, and SLC29A3), which categorized AML patients into two groups with significant survival and tumor microenvironment (TME) differences. …”
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The Development of a Lightweight DE-YOLO Model for Detecting Impurities and Broken Rice Grains by Zhenwei Liang, Xingyue Xu, Deyong Yang, Yanbin Liu

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A General Super-Resolution Approach Integrating Physical Information for Temperature Field Measurement by Sheng Chen, Zhixuan Su, Min Dai, Chenyang Xue, Jiping Tao, Zhenyin Hai

“…The results show that the learning model can accurately predict the HR temperature. …”
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Deterministic Uncertainty Estimation for Multi-Modal Regression With Deep Neural Networks by Jaehak Cho, Jae Myung Kim, Seungyub Han, Jungwoo Lee

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Socioeconomic status (SES) and cognitive outcomes are predicted by resting-state EEG in school-aged children by Julie M. Schneider, Jeahong Kim, Sonali Poudel, Yune S. Lee, Mandy J. Maguire

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Thermal Error Prediction in High-Power Grinding Motorized Spindles for Computer Numerical Control Machining Based on Data-Driven Methods by Quanhui Wu, Yafeng Li, Zhengfu Lin, Baisong Pan, Dawei Gu, Hailin Luo

“…Finally, based on experimental data and the optimization results of temperature measurement points, temperature data are used as the input variable, and thermal deformation data are used as the output variable. The ensemble learning model is composed of different weak learners, which include multiple linear regression, back-propagation, and radial basis function neural networks. …”
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PoulTrans: a transformer-based model for accurate poultry condition assessment by Jun Li, Bing Yang, Junyang Chen, Jiaxin Liu, Felix Kwame Amevor, Guanyu Chen, Buyuan Zhang, Xiaoling Zhao

“…Abstract Recent advances in deep learning have significantly enhanced the accuracy of poultry image recognition, particularly in assessing poultry conditions. …”
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A Data Augmented Method for Plant Disease Leaf Image Recognition based on Enhanced GAN Model Network by MingYuan Xin, Ling Weay Ang, Sellappan Palaniappan

“…The identification of plant disease leaves based on deep learning is the key to control the development and spread of plant diseases. …”
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GPR-TSBiNet: An Information Gradient Enrichment Model for GPR B-Scan Small Target Detection by Chongqin Wang, Yi Guan, Minghe Chi, Feng Shen, Zhilong Yu, Qingguo Chen, Chao Chen

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VBP-YOLO-prune: Robust apple detection under variable weather via feature-adaptive fusion and efficient YOLO pruning by Haohai You, Hao Wang, Zhanchen Wei, Chunguang Bi, Lijuan Zhang, Xuefang Li, Yingying Yin

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