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Machine learning

Optimizing ensemble machine learning models for accurate liver disease prediction in healthcare

W. El Atifi, O. El Rhazouani, Fida Muhammad Khan, H. Sekkat

Enhanced CNN for induction motor fault diagnosis via multi-source data fusion

Likang Bo, Meng Li, Hua Tan

HWANet: A Haar Wavelet-based Attention Network for remote sensing object detection

Baohua Jin, Fukang Yin, [ ... ], Zhongchuan Sun

EchoMamba: A new Mamba model for fast and efficient hyperspectral image classification

Yancong Zhang, Xiu Jin, [ ... ], Lijing Tu

DFU_DIALNet: Towards reliable and trustworthy diabetic foot ulcer detection with synergistic confluence of Grad-CAM and LIME

Monirul Islam Mahmud, Md Shihab Reza, [ ... ], Nova Ahmed

Long sequence temporal knowledge tracing for student performance prediction via integrating LSTM and informer

Ailian Gao, Zenglei Liu

SCP-DETR: A efficient small-object-enhanced feature pyramid approach for PCB defect detection

Yuanyuan Wang, Tongtong Yin, [ ... ], Jiajun Wang

Knowledge transfer, knowledge gaps, and knowledge silos in citation networks

Eoghan Cunningham, Derek Greene

AMFormer-based framework for accident responsibility attribution: Interpretable analysis with traffic accident features

Yahui Wang, Zhoushuo Liang, [ ... ], Zhicheng Ling

Teaching postsecondary students about the ethics of artificial intelligence: A scoping review protocol

Calvin Hillis, Maushumi Bhattacharjee, [ ... ], Zack Marshall

OptiSelect and EnShap: Integrating machine learning and game theory for ischemic stroke prediction

Pritam Chakraborty, Anjan Bandyopadhyay, [ ... ], Saurav Mallik

Spectral efficiency and BER analysis of RNN based hybrid precoding for cell free massive MIMO under terahertz communication

Tadele A. Abose, Binyam G. Assefa, Yitbarek A. Mekonen, Naol W. Gudeta

Decision factors for the selection of AI-based decision support systems—The case of task delegation in prognostics

Kai Heinrich, Christian Janiesch, [ ... ], Patrick Zschech

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