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Machine learning

AnomLocal: A hybrid local-global anomaly detection model for network security using federated learning

Sulaiman Alamro

Physics-informed self-supervised diagnosis of rotating machinery using latent ODEs and transformer encoders

Md Al Amin, Mohammad Shafat Ahsan, [ ... ], Kamruddin Nur

CBEC inventory optimization model design based on spatiotemporal attention and transformer architecture

Zongping Lin, Yingyi Huang, [ ... ], Honglei Zhang

A new multilayer tree structure belief rule base-based prediction method for key indicators of flotation process

Heng Dong, AoSheng Gong, Wei He

Single cell RNA sequencing analysis and molecular biology experiments identify NAFLD-related fibroblasts and highlights seven hub genes in NAFLD

Xuechun Zhang, Ying Cheng, [ ... ], Yiqin Huang

DMS-YOLO: Small target detection algorithm based on YOLOv11

Minyu Huang, Wengang Jiang

Graph neural networks and belief rule base collaborative modeling for automated and interpretable fault diagnosis in proton exchange membrane fuel cells

Yao Zhao, Ting Wang, Xin Wang

Developing a machine learning model to map new-build gentrification: A mixed-methods approach

Maya Mueller, Isaac Quaye, [ ... ], Simi Hoque

Reinforcement Operator Learning (ROL): A hybrid DeepONet-guided reinforcement learning framework for stabilizing the Kuramoto–Sivashinsky equation

Nadim Ahmed, Md. Ashraful Babu, [ ... ], Mufti Mahmud

LDA-DETR: A lightweight dynamic attention-enhanced DETR for small object detection

Yanli Shi, Jing Li, Yi Jia, Qihua Hong

An interpretable machine learning framework for adverse drug reaction prediction from drug-target interactions

Joseph Roberts-Nuttall, Alan M. Jones, Marco Castellani, Duc Pham

Graph former-CL: A novel graph transformer with contrastive learning framework for enhanced drug-drug interaction prediction

Masoud Amiri, Oliya Zare

LHAT-YOLO: Study on intelligent monitoring algorithm for helmets at construction sites

Jun Wang, Dongsheng Zhao, [ ... ], Xin Tang

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