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Support vector machines

Dual-temporal inflow–outflow dependency modeling for short-term metro outflow prediction

Wangxin Hu, Zhongxiang Huang, Jianrong Cai, Xiufang Zhao

TinyAct: A framework for real-time action recognition in the cloud through distillation learning

Yupaporn Wanna, Kannika Wiratchawa, Thanapong Intharah

Classification of mushrooms based on AWPF-ResNet18

Xinhai Zhao, Hanchen Lin, Yongmin Guo, Ning Sun

upsML: A high-accuracy machine learning classifier for predicting Plasmodium falciparum var gene upstream groups

Elcid Aaron Pangilinan, Mathieu Quenu, Antoine Claessens, Thomas D. Otto

A computer vision approach for the grading of cotton base load ages in measuring the performance of washing machine

Shaojin Ma, Xue Bai, Yan Bai, Jiajia Shao

A hybrid system for detecting semiconductor wafer defects using modified MobileNet with multi-head attention

Sharith Dhar, Fahmid Al Farid, [ ... ], Sarina Mansor

Attention and residual mechanism-based CNN architecture (ARC-Net) with enhanced fairness generalization for deepfake facial image detection

Md Shihab Reza, Farhana Elias, Monirul Islam Mahmud, Nova Ahmed

Machine learning-based ground motion simulation for seismic hazard assessment of critical water infrastructure in Azerbaijan (Case study: Major Shamkir water reservoir)

Tural Babayev, Gulam Babayev, [ ... ], Saida Aliyeva

Dual-channel feature fusion network for sheep diseases question classification

Gulizada Haisa, Gulimila Kezierbieke

Safeguarding against external intrusions utilizing adaptive bio-inspired multi-population anomaly detection for IoT network

Shubhra Dwivedi, Alok Kumar Shukla, Diwakar Tripathi, Sunil Kumar Singh

Modeling diarrhea in children under five in Somaliland: A machine learning analysis using SLDHS 2020 data

Yahye Hassan Muse, Mukhtar Abdi Hassan, [ ... ], Hodo Abdikarim

Development and validation of a prediction model for long-term cognitive frailty risk in stroke patients based on CHARLS data

Shunli Zuo, Ning Liu, [ ... ], Yuyang Jia

Forecasting auditor’s going concern opinion using with hybrid robust machine learning model

Uğur Ejder, Alpaslan Yaşar

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