The evolving landscape: Role of artificial intelligence in cancer detection by Praveen Kumar, Sakshi V. Izankar, Induni N. Weerarathna, David Raymond, Prateek Verma

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Automated Zebrafish Spine Scoring System Based on Instance Segmentation by Wen-Hsin Chen, Tien-Ying Kuo, Yu-Jen Wei, Cheng-Jung Ho, Ming-der Lin, Huan Chen, Wen-Ying Lin

Subjects: “…Deep learning…”
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MetaboLabPy—An Open-Source Software Package for Metabolomics NMR Data Processing and Metabolic Tracer Data Analysis by Christian Ludwig

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Automated Phenotypic Analysis of Mature Soybean Using Multi-View Stereo 3D Reconstruction and Point Cloud Segmentation by Daohan Cui, Pengfei Liu, Yunong Liu, Zhenqing Zhao, Jiang Feng

Subjects: “…deep learning…”
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Charge Diagnostics and State Estimation of Battery Energy Storage Systems Through Transformer Models by Rolando Antonio Gilbert Zequera, Anton Rassolkin, Toomas Vaimann, Ants Kallaste

Subjects: “…Deep learning…”
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Characterization of adrenal glands on computed tomography with a 3D V-Net-based model by Yuanchong Chen, Yaofeng Zhang, Xiaodong Zhang, Xiaoying Wang

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Wearable Regionally Trained AI-Enabled Bruxism-Detection System by Anusha Ishtiaq, Jahanzeb Gul, Zia Mohy Ud Din, Azhar Imran, Khalil El Hindi

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On the Prediction of the Sideslip Angle Using Dynamic Neural Networks by Raffaele Marotta, Salvatore Strano, Mario Terzo, Ciro Tordela

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Air pollution monitoring system based on wireless sensor networks by Natalja Osintsev

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HDSA-Net: Haze Density and Semantic Awareness Network for Hyperspectral Image Dehazing by Qianru Liu, Tiecheng Song, Anyong Qin, Yin Liu, Feng Yang, Chenqiang Gao

Subjects: “…Deep learning…”
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An algorithm of blood typing using serological plate images by S.A. Korchagin, E.E. Zaychenkova, D.A. Sharapov, E.I. Ershov, Y.V. Butorin, Y.Y. Vengerov

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Strategy-Switch: From All-Reduce to Parameter Server for Faster Efficient Training by Nikodimos Provatas, Iasonas Chalas, Ioannis Konstantinou, Nectarios Koziris

Subjects: “…Deep learning…”
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Application of quantitative histomorphometric features in computational pathology by Yujie Shi, Bo Hu, Mingyan Xu, Yunhan Yao, Shuaiqiang Gao, Xiang Xia, Xikai Deng, Jianfeng Liu, Jia Gu, Shifu Chen

Subjects: “…deep learning…”
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Deep Sequential Model for Anchor Recommendation on Live Streaming Platforms by Shuai Zhang, Hongyan Liu, Jun He, Sanpu Han, Xiaoyong Du

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Machine Learning-Based Quantification of Lateral Flow Assay Using Smartphone-Captured Images by Anne M. Davis, Asahi Tomitaka

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VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models by Spoorthy Torne, Dasharathraj K. Shetty, Krishnamoorthi Makkithaya, Prasiddh Hegde, Manu Sudhi, Phani Kumar Pullela, T Tamil Eniyan, Ritesh Kamath, Staissy Salu, Pranav Bhat, S. Girisha, P. S. Priya

“…The recently developed techniques of Machine Learning, particularly Deep Learning, have been effective in increasing diagnosis precision and efficiency. …”
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A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning by Bin Hu, Yaohui Han, Wenhui Zhang, Qingyang Zhang, Wen Gu, Jun Bi, Bi Chen, Lishun Xiao

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Adaptive period decomposition network with muti-scale temporal variation learning for water level prediction by Hui Wang, LiPing Wang, QiCang Qiu, Yuyan Gao, WenJuan Li, QiuShun Wang

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Improving Diabetic Patients Monitoring System Using (NCA-CNN) Algorithm based on loT by Ayas Talib Mohammad, Jaber Parchami

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Learning transactions representations for information management in banks: Mastering local, global, and external knowledge by Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov, Evgenia Romanenkova, Alexander Stepikin, Aleksandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey Savchenko, Alexey Zaytsev

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