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Machine learning

W-WaveNet: A multi-site water quality prediction model incorporating adaptive graph convolution and CNN-LSTM

Shaojun Yang, Shangping Zhong, Kaizhi Chen

Pro-cycling team cyclist assignment for an upcoming race

Maor Sagi, Paulo Saldanha, Guy Shani, Robert Moskovitch

Applicability of machine learning algorithm to predict the therapeutic intervention success in Brazilian smokers

Miyoko Massago, Mamoru Massago, [ ... ], Luciano de Andrade

Advancing crop classification in smallholder agriculture: A multifaceted approach combining frequency-domain image co-registration, transformer-based parcel segmentation, and Bi-LSTM for crop classification

Waleed Khan, Nasru Minallah, [ ... ], Amine Bermak

Optimising barrier placement for intrusion detection and prevention in WSNs

C. Kishor Kumar Reddy, Vijaya Sindhoori Kaza, [ ... ], Sadaf Ahmad

Unravelling the skills of data scientists: A text mining analysis of Dutch university master programs in data science and artificial intelligence

Mathijs J. Mol, Barbara Belfi, Zsuzsa Bakk

PrestoCell: A persistence-based clustering approach for rapid and robust segmentation of cellular morphology in three-dimensional data

Yue Wu, Ingrid Brust-Mascher, [ ... ], Colin Reardon

Can using a pre-trained deep learning model as the feature extractor in the bag-of-deep-visual-words model always improve image classification accuracy?

Ye Xu, Xin Zhang, Chongpeng Huang, Xiaorong Qiu

Stratum-specific health outcome estimation in Pakistan using double goal CART

Muhammad Hamza, Shakeel Ahmed

Performance analysis of data resampling on class imbalance and classification techniques on multi-omics data for cancer classification

Yuting Yang, Golrokh Mirzaei

Who should decide how limited healthcare resources are prioritized? Autonomous technology as a compelling alternative to humans

Jonathan J. Rolison, Peter L. T. Gooding, Riccardo Russo, Kathryn E. Buchanan

Enhancing the landing guidance of a reusable launch vehicle by improving genetic algorithm-based deep reinforcement learning using Hybrid Deterministic-Stochastic algorithm

Larasmoyo Nugroho, Rika Andiarti, Rini Akmeliawati, Sastra Kusuma Wijaya

Significant duration prediction of seismic ground motions using machine learning algorithms

Xinle Li, Pei Gao

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