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Machine learning

Effectiveness of roadside alcohol testing in reducing fatal accidents and fatal drinking-driving accidents: A multi-city study in China

Feng Li, Xi Nie

LeafAI: Interpretable plant disease detection for edge computing

Md Abdullah Al Kafi, Sumit Kumar Banshal, [ ... ], Rohit Bansal

Assessing in-hospital mortality risk in ICU lung cancer patients using machine learning: An analysis based on the MIMIC-IV database

Jianwei Wang, Lizhen Lin, [ ... ], Haihua Xie

Explainable depth-wise and channel-wise fusion models for multi-class skin lesion classification

Humam AbuAlkebash, Radhwan A. A. Saleh, H. Metin Ertunç

Machine learning-based prediction of diabetic retinopathy from pupillary abnormalities in a South Indian population

Janani Surya, S Tamilselvi, [ ... ], Ganesh Rajendran

Improving the measurement resolution in BOTDR sensor with optimized wavelet denoising strategy

Mustafa Essa Hamzah, Mohd Saiful Dzulkefly Zan, [ ... ], Yosuke Tanaka

DFENet: A diverse feature extraction neural network for improving automatic modulation classification accuracy in wireless communication systems

Ha-Khanh Le, Van-Phuc Hoang, Van-Sang Doan

Network intrusion detection using a hybrid graph-based convolutional network and transformer architecture

Peter Appiahene, Samuel Opoku Berchie, [ ... ], Stephen Afrifa

Lightweight traffic sign detection algorithm with noise suppression and semantic enhancement

Lingchao Wang, Qiang Ai, Haibo Jin

Text-to-image generation with enhanced GANs: Bridging semantic gaps using RNN and CNN

Sadia Ramzan, Hafiz Arslan Ramzan, [ ... ], Muhammad Moazzam Ali

Cohort profile: The Dutch wound monitor cohort and the Swedish Region Halland Integrated Platform (RHIP) wound cohort

Oskar Gustafsson, Jens Lundström, [ ... ], Ernst Ahlberg

Machine learning using entropy–based texture features from MRI to differentiate histological subtypes of non–small cell lung cancer identified as metabolically active on PET/MRI

Marta Borowska, Małgorzata Mojsak, [ ... ], Małgorzata Domino

Deep learning-based no-reference image quality assessment framework for Cryptosporidium spp. and Giardia spp

Muhammad Amirul Aiman Asri, Heshalini Rajagopal, [ ... ], Takao Ito

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