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Deep learning

Forecasting future Humphrey Visual Fields using deep learning

Joanne C. Wen, Cecilia S. Lee, [ ... ], Aaron Y. Lee

A shallow convolutional neural network for blind image sharpness assessment

Shaode Yu, Shibin Wu, [ ... ], Leida Li

YOLO-G: Improved YOLO for cross-domain object detection

Jian Wei, Qinzhao Wang, Zixu Zhao

LostNet: A smart way for lost and find

Meihua Zhou, Ivan Fung, [ ... ], Tingting Wang

An improved deep learning method for predicting DNA-binding proteins based on contextual features in amino acid sequences

Siquan Hu, Ruixiong Ma, Haiou Wang

Classification of ECG signal using FFT based improved Alexnet classifier

Arun Kumar M., Arvind Chakrapani

Benchmarking machine learning models on multi-centre eICU critical care dataset

Seyedmostafa Sheikhalishahi, Vevake Balaraman, Venet Osmani

Sparsity-Regularized HMAX for Visual Recognition

Xiaolin Hu, Jianwei Zhang, Jianmin Li, Bo Zhang

Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global scoping review

Rabia Asghar, Sanjay Kumar, Arslan Shaukat, Paul Hynds

On the prediction of DNA-binding proteins only from primary sequences: A deep learning approach

Yu-Hui Qu, Hua Yu, [ ... ], Hong-Shun Lee

Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool

Mohanad Alkhodari, Ahsan H. Khandoker

Real-time recognition of spraying area for UAV sprayers using a deep learning approach

Shahbaz Khan, Muhammad Tufail, [ ... ], Arsalan Wasim

Development of a graph convolutional neural network model for efficient prediction of protein-ligand binding affinities

Jeongtae Son, Dongsup Kim

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