Identification and analysis of oxidative stress-related genes in endometriosis by Chengmao Xie, Chang Lu, Na Lv, Weimin Kong, Yong Liu

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COMPARATIVE STUDY OF SURVIVAL SUPPORT VECTOR MACHINE AND RANDOM SURVIVAL FOREST IN SURVIVAL DATA by Ni Gusti Ayu Putu Puteri Suantari, Anwar Fitrianto, Bagus Sartono

“…In the last few years, many classification approaches have been developed in machine learning, but only a few considered the presence of time-to-event variable. …”
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Contrastive cross-domain sequential recommendation with attention-aware mechanism by Wei Zhao, Bo Li, Xian Mo

“…Specifically, we first develop an attention-aware framework over GNNs to capture collaborative relationships among inter-sequence items, then propose an attenuation function to assess the rationality of item representations. …”
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Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem Solvers by Evan Scope Crafts, Umberto Villa

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Higher levels of GluN1 splice cassettes, C2 and C2’, in hippocampus of aged mice were associated with poor spatial reference memory by Kathy R. Magnusson, Daniel R. Zamzow

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MCRFS-Net: single image dehazing based on multi-scale contrastive regularization and frequency selection by Qin Qin, Lin Shui, Yanyan Zhang, Shaojing Song, Jinhua Jiang

“…Additionally, we propose a Multi-Scale Contrast Regularization (MSCR) loss function, which leverages cross-scale contrastive learning to improve feature consistency. …”
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Predicting and Understanding Disorders of Consciousness of Sleep Patients Through Multimodal Data Fusion and Temporal Attention Mechanisms by Haixia Pan, Haotian Geng, Pingshu Zhang, Xiaodong Yuan

“…This study introduces MTAMA-DoC (Multimodal Temporal Attention Multitask Analyzer for Disorders of Consciousness), a novel deep learning approach that leverages sleep-related physiological data to predict consciousness states in patients with Disorders of Consciousness (DoC). …”
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A Transformer-Based Symmetric Diffusion Segmentation Network for Wheat Growth Monitoring and Yield Counting by Ziyang Jin, Wenjie Hong, Yuru Wang, Chenlu Jiang, Boming Zhang, Zhengxi Sun, Shijie Liu, Chunli Lv

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A novel mechanism-guided residual network for accurate modelling of scroll expander under noisy and sparse data conditions by Xiaoshuang Lv, Xin Ma, Wei Peng, Ke Li, Chengdong Li

“…It has the ability to incorporate mechanistic constraints within the data-driven approach, setting it apart from conventional machine learning and deep learning methods that often disregard underlying physical laws. …”
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An Efficient Algorithm for Small Livestock Object Detection in Unmanned Aerial Vehicle Imagery by Wenbo Chen, Dongliang Wang, Xiaowei Xie

“…In addition, we replaced the original CIoU with the WIoU v3 loss function. Furthermore, we developed a dataset of grazing livestock for deep learning using UAV images from the Prairie Chenbarhu Banner in Hulunbuir, Inner Mongolia. …”
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Improved YOLOv8-Based Segmentation Method for Strawberry Leaf and Powdery Mildew Lesions in Natural Backgrounds by Mingzhou Chen, Wei Zou, Xiangjie Niu, Pengfei Fan, Haowei Liu, Cuiling Li, Changyuan Zhai

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Research on automatic assessment of the severity of unilateral vocal cord paralysis based on Mel-spectrogram and convolutional neural networks by Shuaichi Ma, Wenwen Liao, Yi Zhang, Fan Zhang, Yimiao Wang, Zhiyan Lu, Chen Zhao, Jianbo Yu, Peijie He

“…Based on vocal fold compensation function, the patients were divided into three groups: decompensated (84 cases), partially compensated (98 cases), and fully compensated (110 cases). …”
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Novel artificial intelligence-based identification of drug-gene-disease interaction using protein-protein interaction by Y.-h Taguchi, Turki Turki

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Enhancing acute leukemia classification through hybrid fuzzy C means and random forest methods by K. Lakshmi Narayanan, R. Santhana Krishnan, Y. Harold Robinson, S. Vimal, Tarik A. Rashid, Chetna Kausha, Md. Mehedi Hassan

“…If this is not diagnosed in the earlier stage, it may start to affect the function of the internal organs and cause death. Normally, entire blood counts image analysis and diagnosis are done manually which is an inaccurate and time-intensive process. …”
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Deep plug-and-play denoising prior with total variation regularization for low-dose CT by Yinjin Ma, Yajuan Zhang, Lin Chen, Qiang Jiang, Fengjuan Shi, Biao Wei

“…Specifically, we first introduce a deep residual block convolutional neural network (DRBNet) with residual noise learning. We then train the DRBNet using a hybrid loss function combining L1 and multi-scale structural similarity (M-SSIM) losses, while regularizing the training with total variation (TV). …”
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AI-Driven Transcriptome Prediction in Human Pathology: From Molecular Insights to Clinical Applications by Xiaoya Chen, Huinan Xu, Shengjie Yu, Wan Hu, Zhongjin Zhang, Xue Wang, Yue Yuan, Mingyue Wang, Liang Chen, Xiumei Lin, Yinlei Hu, Pengfei Cai

“…Gene expression regulation underpins cellular function and disease progression, yet its complexity and the limitations of conventional detection methods hinder clinical translation. …”
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Enhancing Multi-Label Chest X-Ray Classification Using an Improved Ranking Loss by Muhammad Shehzad Hanif, Muhammad Bilal, Abdullah H. Alsaggaf, Ubaid M. Al-Saggaf

“…We achieve this by incorporating a “temperature” parameter to scale the label scores predicted by the model during training in the original ZLPR loss function. Experimental results on the NIH Chest X-ray14 dataset demonstrate that FZLPR loss outperforms other loss functions including binary cross entropy (BCE) and focal loss. …”
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Response estimation and system identification of dynamical systems via physics-informed neural networks by Marcus Haywood-Alexander, Giacomo Arcieri, Antonios Kamariotis, Eleni Chatzi

“…PINNs offer a unique advantage by embedding known physical laws directly into the neural network’s loss function, allowing for simple embedding of complex phenomena, even in the presence of uncertainties. …”
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GazeMap: Dual-Pathway CNN Approach for Diagnosing Alzheimer’s Disease from Gaze and Head Movements by Hyuntaek Jung, Shinwoo Ham, Hyunyoung Kil, Jung Eun Shin, Eun Yi Kim

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Sliding-Window CNN + Channel-Time Attention Transformer Network Trained with Inertial Measurement Units and Surface Electromyography Data for the Prediction of Muscle Activation an... by Aoyang Bai, Hongyun Song, Yan Wu, Shurong Dong, Gang Feng, Hao Jin

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