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Machine learning

Towards practical AI for agriculture: A self-supervised attention framework for Spinach leaf disease detection

Nilavro Das Kabya, MD Shaifullah Sharafat, [ ... ], Riasat Khan

Uncovering key biomarkers, potential therapeutic targets and development of deep learning model in heart failure

Ming Du, Shuang He, Jiaojiao Liu, Long Yuan

Decision model of public opinion risk in campus social network based on hybrid dynamic deletion and shortest path algorithm

Nan Xu, Yifeng Wang

Biological age threshold is associated with symptomatic knee osteoarthritis risk in chinese adults: Insights from machine learning analysis of a national cohort

Fanyu Fu, Li Dong, [ ... ], Yufeng Wang

Traffic flow prediction based on spatiotemporal encoder-decoder model

Yuanming Ding, Wei Zhao, [ ... ], Yunrui Tao

Resource trading strategies with risk selection in collaborative training market

Quyuan Wang, Xinyu Ni, [ ... ], Jiadi Liu

Detecting subsurface diseases on airport road surface based on an improved SSD algorithm

Mengmeng Pan, Huiguang Chen, Lipeng Yang, XianRong Jiang

New bridging eco-acoustic indices inspired by deep neural networks for fine-grained bird vocalization recognition across diurnal cycles

Lianglian Gu, Wei Li, [ ... ], Ziqian Wang

Constructing concepts without feedback: An empirical investigation of how relational information affects multidimensional concept completion behavior in an unsupervised task

Charles A. Doan, Ronaldo Vigo

A hybrid approach for forecasting peak expiratory flow rate in asthma patients using combined linear regression and random forest model

Shayma Alkobaisi, Wan D. Bae, [ ... ], Robert Marek Nowak

A contrastive adversarial encoder for multi-omics data integration

Ma Yinghua, Ahmad Khan, [ ... ], Iftikhar Ahmed Khan

Deep reinforcement learning-based multi-lane mixed traffic ramp merging strategy

Tong Zhou, Yuzhao Huang, [ ... ], Tao Lin

Distinguishing post-COVID from long-COVID in adults: Development and validation of a biomarker signature using targeted proteomics and machine learning in a cross-sectional observational study

Franziska Meyer, Stephan Traidl, [ ... ], Marie-Charlotte Brüggen

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