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Deep learning

YOLO-Net: A lightweight edge-enhanced detection model for small-object recognition in tennis match scenarios

Xiangyu Du, Tao Wang, [ ... ], Liangquan Jia

NLOS/LOS identification with LightGBM ensemble

Xiaofeng Yang, Zhao Wu, Danlei Mo

GraphTransDTI: A novel hybrid framework combining graph transformer and CNN-BiLSTM for enhanced Drug-Protein Interaction prediction

Van-Vang Le, Mai Thi Anh Nhu, Pham Truong Viet Thong

Adaptive geometric-attention network for two-stage lung nodule segmentation and malignancy classification in federated healthcare IoT edge environments

Muhammad Sufyan, Jun Qian, [ ... ], Raheem Sarwar

A multi-objective portfolio optimization model incorporating sentiment analysis of quarterly reports and LSTM-based price prediction

Esmaeil Taheripour, Seyed Jafar Sadjadi, Babak Amiri

Why we need dedicated insect microphones - A comparison between measurement and MEMS microphone arrays highlights gap in available hardware

Jelto Branding, Dieter von Hörsten, [ ... ], Eberhard Hartung

A unified framework for interpretable elevator fault diagnosis and predictive maintenance via style-aware CoT fine-tuning

Yuhao Wang, Junjie Huang, Qiang Zhang

Enhancing medical Q&A systems with multimodal knowledge graphs and dual-layer attention mechanisms

Guoqiang Qiu, Qingni Yuan, [ ... ], Wei Jia

SST subseasonal-to-seasonal forecasting: A heterogeneous three-path fusion model with wavelet decomposition

Xiao Chen, Yihao Wang, Jing Chen, MingXin Liu

Deep learning based two-way feature depiction model for brain tumor detection

Shabana Urooj, Kiran Napte, Najah Alsubaie

Validation of deep learning enabled software MetronMind to measure vertebral heart size and vertebral left atrial size in dogs

Katharine Tess Sykes, Sonya G. Gordon, [ ... ], Alice H. Watson

Forecasting COVID-19 new cases using NBEATS deep learning and mobility data

Amril Nazir, Mohammad Shorfuzzaman, [ ... ], Abdul-Halim Jallad

Automated spermatogenic staging in periodic acid-Schiff-stained testes of Sprague–Dawley rats using a deep learning model for normal and atrophied tissues

Da-Mi Kim, Jin-Hyung Rho, So-Young Wee, Hwa-Young Son

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