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Machine learning

Lightweight deep neural networks: Optimization of vehicle classification using ICBAM based on depthwise separable convolutions

Qifeng Niu, Jinhui Han, Zhen Sui, Feng Xu

Speech-based respiratory diagnostics: A study on COVID-19 detection with machine learning

Gaurav Datkhile, Pramod H. Kachare, [ ... ], Abdalla Alameen

Structured matching models in multimodal information fusion: An optimized Kuhn-Munkres algorithm

Qingnan Ji, Jinxia Wang, Lixian Wang

Forecasting urban air quality in Paris using ensemble machine learning: A scalable framework for environmental management

Somia A. Asklany, Doaa Mohammed, [ ... ], Wajdan Al Malwi

Albumin-corrected anion gap as a predictor of 28-day mortality in acute respiratory distress syndrome: A machine learning-based retrospective study

Qiudie Liu, Mengqi Zhang, Daoxin Wang

Research on partial discharge signal recognition and classification of power transformer based on acoustic-VMD and CNN-LSTM

Liang Chen, You Wen, [ ... ], Dani Chen

Cross-modal fusion of brain imaging and clinical data for Parkinson’s disease progression prediction

Jinyu Wen, Amei Chen, [ ... ], Xinhua Wei

SMG-Net: A lightweight modular architecture for fine-grained crack segmentation in ancient wooden structures

Tianke Fang, Zhenxing Hui, [ ... ], Yuanrong He

Iterative reconstruction of industrial positron images with generative networks

Mingwei Zhu, Min Zhao, Min Yao

Promises and pitfalls of using LLMs to identify actor stances in political discourse

Viviane Walker, Mario Angst

Using machine learning for detection of Parkinson’s disease and mild cognitive impairment

Anthaea-Grace Patricia Dennis, Sarah L. Martin, [ ... ], Antonio P. Strafella

A meaningful prediction of functional decline in amyotrophic lateral sclerosis based on multi-event survival analysis

Christian Marius Lillelund, Sanjay Kalra, Russell Greiner, The Pooled Resource Open-Access ALS Clinical Trials Consortium (PRO-ACT)

Demand forecasting and inventory optimization of distribution equipment: A fusion model based on genetic algorithm and machine learning

Qingbo Tu, Hongyang Zhang, [ ... ], Chao Kong

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