FF-ResNet-DR model: a deep learning model for diabetic retinopathy grading by frequency domain attention by Chang Yu, Qian Ma, Jing Li, Qiuyang Zhang, Jin Yao, Biao Yan, Zhenhua Wang

“…To improve DR grading accuracy, we propose FF-ResNet-DR, a deep learning model that leverages frequency domain attention. …”
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NexoNet: Blockchain Online Social Media with User-Centric Multiple Incentive Mechanism and PoAP Consensus Mechanism by Junzhe Zuo, Wei Guo, Li Ling

“…Nevertheless, in this exchange of information, OSM platforms assume a dominant, central role, wielding excessive power. …”
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MFFP-Net: Building Segmentation in Remote Sensing Images via Multi-Scale Feature Fusion and Foreground Perception Enhancement by Huajie Xu, Qiukai Huang, Haikun Liao, Ganxiao Nong, Wei Wei

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Voice-AttentionNet: Voice-Based Multi-Disease Detection with Lightweight Attention-Based Temporal Convolutional Neural Network by Jintao Wang, Jianhang Zhou, Bob Zhang

“…Voice data contain a wealth of temporal and spectral information and can be a valuable resource for disease classification. …”
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An EEG dataset for interictal epileptiform discharge with spatial distribution information by Nan Lin, Mengxuan Zheng, Lian Li, Peng Hu, Weifang Gao, Heyang Sun, Chang Xu, Gonglin Yuan, Zi Liang, Yisu Dong, Haibo He, Liying Cui, Qiang Lu

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TL-CStrans Net: a vision robot for table tennis player action recognition driven via CS-Transformer by Libo Ma, Yan Tong

“…Traditional methods mainly rely on image or video data, neglecting the effective utilization of textual information. To address this issue, we propose: TL-CStrans Net: A vision robot for table tennis player action recognition driven via CS-Transformer. …”
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Enhancing precision in multiple sclerosis lesion segmentation: A U-net based machine learning approach with data augmentation by Oezdemir Cetin, Berkay Canel, Gamze Dogali, Unal Sakoglu

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StationNet: An Algorithm for the Extraction and Visualization of Top-n Correlated Bike Stations in Bike Sharing Systems Big Datasets by Ahmet Şakir Dokuz

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A Resource-Efficient 3D U-Net for Hippocampus Segmentation Using CLAHE and SCE-3DWT Techniques by Faizaan Fazal Khan, Jun-Hyung Kim, Chun-Su Park, Ji-In Kim, Goo-Rak Kwon

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Comparison of Deep Learning and Clinician Performance for Detecting Referable Glaucoma from Fundus Photographs in a Safety Net Population by Van Nguyen, MD, Sreenidhi Iyengar, Haroon Rasheed, MD, Galo Apolo, Zhiwei Li, Aniket Kumar, Hong Nguyen, Austin Bohner, MD, Kyle Bolo, MD, Rahul Dhodapkar, MD, Jiun Do, MD, PhD, Andrew T. Duong, MD, Jeffrey Gluckstein, MD, Kendra Hong, MD, Lucas L. Humayun, Alanna James, MD, Junhui Lee, MD, Kent Nguyen, OD, Brandon J. Wong, MD, Jose-Luis Ambite, PhD, Carl Kesselman, PhD, Lauren P. Daskivich, MD, Michael Pazzani, PhD, Benjamin Y. Xu, MD, PhD

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A multi-channel spatiotemporal SegNet model for short term wind power prediction with sequence decomposition and reconstruction by Xingdou Liu, Liang Zou, Li Zhang, Jiangong Wang, Zhiyun Han, Yong Li

“…This article proposes a multi-channel spatiotemporal SegNet (MCST-SegNet) model that achieves synchronous power prediction for all wind turbines in a wind farm. …”
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MSegNet: A Multi-View Coupled Cross-Modal Attention Model for Enhanced MRI Brain Tumor Segmentation by Yu Wang, Juan Xu, Yucheng Guan, Faizan Ahmad, Tariq Mahmood, Amjad Rehman

“…However, traditional neural network-based diagnostic methods often overlook issues such as variation in multimodality information, loss of spatial information, and under-utilization of boundary information. …”
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Enhanced Brain Tumor Classification Using MobileNetV2: A Comprehensive Preprocessing and Fine-Tuning Approach by Md Atiqur Rahman, Mohammad Badrul Alam Miah, Md. Abir Hossain, A. S. M. Sanwar Hosen

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EDG-Net: Edge-Enhanced Dynamic Graph Convolutional Network for Remote Sensing Scene Classification of Mining-Disturbed Land by Xianju Li, Pan Kong, Weitao Chen, Wenxi He, Jian Feng, Jiangyuan Wang

“…Subsequently, a novel model of edge-enhanced dynamic graph convolutional network (GCN) (EDG-Net) was proposed to learn the discriminative features for classification of mining land with irregular edges, different sizes, a relatively small proportion, and sparse spatial distribution. (1) Edge-enhanced multiscale attention module: it is designed to capture key multiscale features and edge details using parallel dilated convolutions with attention fusion and edge enhancement, which facilitates the identification of objects with irregular edges and different sizes. (2) Downsampling fusion module: it integrates the features obtained through spatially split learning and max-pooling to overcome the information loss issue of small objects. (3) Patch-based dynamic GCN: the input images were split into several patches as nodes, and a graph was constructed and dynamically updated by connecting the nearest neighbors. …”
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SEM-Net: A Social–Emotional Music Classification Model for Emotion Regulation and Music Literacy in Individuals with Special Needs by Yu-Chi Chou, Shan-Ken Chien, Pen-Chiang Chao, Yuan-Jin Lin, Chih-Yun Chen, Kuang-Kai Yeh, Yen-Chia Peng, Chen-Hao Tsao, Shih-Lun Chen, Kuo-Chen Li

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Protective efficacy of holed and aging PBO-pyrethroid synergist-treated nets on malaria infection prevalence in north-western Tanzania. by Eliud Lukole, Jackie Cook, Jacklin F Mosha, Louisa A Messenger, Mark Rowland, Immo Kleinschmidt, Jacques D Charlwood, Franklin W Mosha, Alphaxard Manjurano, Alexandra Wright, Natacha Protopopoff

“…Information on the presence and condition of nets, and demographic information from the household, were collected to evaluate factors influencing net durability. …”
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Implementing Real-time Visitor Counter Using Surveillance Video and MobileNet-SSD Object Detection: The Best Practice by Nasser Al Musalhi, Ali Mohammed Al Wahaibi, Mohammed Abbas

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Dual-Attention-Based Enhanced Unified Net for Precise GTV Segmentation of Nasopharyngeal Carcinoma in 3D MR Images by Hassan Ali Khan, Gong Xueqing, Muhammad Shoib Amin, Zeeshan Bin Siddique, Muhammad Ahtsam Naeem

“…The DAEU-Net integrates channel-attention and pixel-attention modules within the encoder section, eliminating background noise and reducing information loss by enhancing the network’s focus on detailed features. …”
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Drone Detection Using YOLOv5 With GhostNet Backbone and Adaptive Fourier Neural Operator (AFNO 2D) by K. Kavin Akash, Uma Kuppusamy

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An instructional emperor pigeon optimization (IEPO) based DeepEnrollNet for university student enrolment prediction and retention recommendation by Sunil Kumar Sharma

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