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Artificial intelligence

Finding the original mass: A machine learning model and its deployment for lithic scrapers

Guillermo Bustos-Pérez

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)

Particle swarm optimization-based NLP methods for optimizing automatic document classification and retrieval

Bowen Zeng, Xianhe Shang, Rong Lu, Yugui Zhang

MSMCE: A novel representation module for classification of raw mass spectrometry data

Fengyi Zhang, Boyong Gao, [ ... ], Xingchuang Xiong

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

Quantitative evaluation of China’s artificial intelligence policies: A PMC index-based modeling approach

Xia Liu, Xuan Zhuang, [ ... ], Juntao Chen

Application of machine learning models in predicting physical literacy in 4–6-year-old children: A comprehensive analysis of individual and family factors

Xiaofen Wang, Ying Jiang

Identifying graft incompatible rootstocks for sweet cherry through machine learning algorithms

Erol Aydın, Mehmet Ali Cengiz, Ercan Er, Hüsnü Demirsoy

A bearing fault diagnosis method based on hybrid artificial intelligence models

Lijie Sun, Xin Tao, Yanping Lu

Development and internal validation of multimodal machine learning models for predicting eligibility for mechanical thrombectomy in suspected stroke patients using routinely collected clinical and imaging data

Arjun Agarwal, Nirman Bharti, [ ... ], Adnan I. Qureshi

Image key information processing using convolutional neural network and rotational invariant-hierarchical max pooling algorithm

Guangmei Ma

Air pollution macro-regions identification using machine learning and spatio-temporal analysis

Tymoteusz Morawiec, Mateusz Zareba, Tomasz Danek, Monika Chuchro

Multi-objective representation learning for road networks and trajectories with spatial-temporal fusion and contrastive signals

Ashraful Islam Shanto Sikder, Naushin Nower

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