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Machine learning algorithms

Self-learning adaptive neuro-fuzzy approximation of robust control behavior in electric power steering systems

Tuan Anh Nguyen, Tran Minh Ngoc Do, [ ... ], Quang Vinh Tran

An efficient cyber-attack detection and classification in IoT networks with high-dimensional feature set using Levenberg-Marquardt optimized feedforward neural network

Quxi Kuang, Xianglin Kuang

Neural subgraph counting on stream graphs via localized updates and monotonic learning

Zhen Xie, Wenzhe Hou, Feiyang Wu, Hao Xu

A machine learning approach for predicting 72-hour mortality of hypothermic patients only using non-invasive parameters: A multi-center retrospective cohort study

Chunliang Jiang, GuoFeng Ru, [ ... ], Guang Zhang

Classification of images of bee pollen according to their producers

Juan D. Leal Campuzano, Carlos A. Martínez Niño, Francisco A. Gómez Jaramillo

Machine learning-driven Diabetes Health Tracer (DHT): Optimizing prognosis using RaSK_GraDe and RaSK_GraDeL models

Muhammad Noman, Maria Hanif, [ ... ], Basit Qureshi

Clinically interpretable electrovectorcardiographic machine learning criteria for the detection of echocardiographic left ventricular hypertrophy

Fernando De la Garza-Salazar, Brian Egenriether

Automated software bug severity classification using ensemble machine learning scheme: A real case study

Mohammadreza Namdar, Farnaz Barzinpour, Rassoul Noorossana, Mohammad Saidi-Mehrabad

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

Fusion of crayfish optimization algorithm and MNS-YOLO for solar cell defect detection

Jiayue Zhang, Xinxin Yi, Heng Wang

Deep learning predictions on a new dataset: Natural gas production and liquid level detection

Dong Wang, Jian Lian, Chengjiang Li, Yanlei Wang

Multi-task meta-initialized DQN for fast adaptation to unseen slicing tasks in O-RAN

Bosen Zeng, Xianhua Niu

Machine learning-based forecasting of air quality index under long-term environmental patterns: A comparative approach with XGBoost, LightGBM, and SVM

Sevtap Tırınk

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