Near-field extremely large-scale MIMO data rate prediction based on deep learning by Guozhi Rong, Rugui Yao, Yifeng He

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Interpretable AI-driven multi-objective risk prediction in heart failure patients with thyroid dysfunction by Massimo Iacoviello, Vito Santamato, Alessandro Pagano, Agostino Marengo

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Short-Term Building Electrical Load Prediction by Peak Data Clustering and Transfer Learning Strategy by Kangji Li, Shiyi Zhou, Mengtao Zhao, Borui Wei

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Coupling Beams’ Shear Capacity Prediction by Hybrid Support Vector Regression and Particle Swarm Optimization by Emad A. Abood, Mustafa Kamal Al-Kamal, Sabih Hashim Muhodir, Nadia Moneem Al-Abdaly, Luís Filipe Almeida Bernardo, Dario De Domenico, Hamza Imran

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Prediction of Rail Wear Under Different Railway Track Geometries Using Artificial Neural Networks by Hong Zhang, Weichen Shuai, Linya Liu, Pengfei Zhang, Kejun Zhang, Hongsong Lin, Yuke Zhang, Wei Li

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A Surrogate-Assisted Gray Prediction Evolution Algorithm for High-Dimensional Expensive Optimization Problems by Xiaoliang Huang, Hongbing Liu, Quan Zhou, Qinghua Su

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Enhanced prediction of hemolytic activity in antimicrobial peptides using deep learning-based sequence analysis by Ibrahim Abdelbaky, Mohamed Elhakeem, Hilal Tayara, Elsayed Badr, Mustafa Abdul Salam

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HiCDiffusion - diffusion-enhanced, transformer-based prediction of chromatin interactions from DNA sequences by Mateusz Chiliński, Dariusz Plewczynski

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Analyzing risk factors and handling imbalanced data for predicting stroke risk using machine learning by Adiwijaya Adiwijaya, Nur Ghaniaviyanto Ramadhan

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Optimal Sensor Placement in Water Distribution Networks Using Dynamic Prediction Graph Neural Networks by Aly K. Salem, Ahmed A. Abokifa

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SGTCDA: Prediction of circRNA-drug sensitivity associations with interpretable graph transformers and effective assessment by Hongwei Xia, Caiyue Dong, Xinxing Chen, Zhuoyu Wei, Lichuan Gu, Xiaolei Zhu

“…To address these issues, we propose a strategy to evaluate models based on independent test sets for association prediction-related studies. …”
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Machine learning for optimal parameter prediction in free space continuous-variable quantum key distribution by Dong Chen, Cheng Jin, Liu Ao, Chen Lanjian, Chen YuJie, Yin Peng, Wu TianYi

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Barlow Twins deep neural network for advanced 1D drug–target interaction prediction by Maximilian G. Schuh, Davide Boldini, Annkathrin I. Bohne, Stephan A. Sieber

“…Furthermore, we advance the field by proposing an influence method that elucidates model decision-making, thereby providing deeper insights into molecular interactions and improving the interpretability of drug-target interactions predictions. …”
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Data-knowledge hybrid driven intelligent prediction method of tunnel excavation profiles geometric deformation by Ya Hu, Jingyi Lu, Jun Zhu, Huixin Zhang, Ying Ren, Jianlin Wu, Jianbo Lai, Heng Zhang, Hongyue Zhao, Xiang Zeng

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Lifespan brain age prediction based on multiple EEG oscillatory features and sparse group lasso by Shiang Hu, Xue Xiang, Xiaolong Huang, Yan Lu, Xulai Zhang, Dezhong Yao, Pedro A. Valdes-Sosa

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Interpretable machine learning and radiomics in hip MRI diagnostics: comparing ONFH and OA predictions to experts by Tariq Alkhatatbeh, Ahmad Alkhatatbeh, Qin Guo, Jiechen Chen, Jidong Song, Xingru Qin, Wang Wei

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Rolling Bearing Life Prediction Based on Improved Transformer Encoding Layer and Multi-Scale Convolution by Zhuopeng Luo, Zhihai Wang, Xiaoqin Liu, Yingming Yang

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LSTM-based prediction method for shape error of steel truss during incremental launching construction. by Zhe Hu, Hao Chen, Chunguang Dong, Qinhe Li, Ronghui Wang

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Prediction of cccDNA dynamics in hepatitis B patients by a combination of serum surrogate markers. by Kwang Su Kim, Masashi Iwamoto, Kosaku Kitagawa, Hyeongki Park, Sanae Hayashi, Senko Tsukuda, Takeshi Matsui, Masanori Atsukawa, Kentaro Matsuura, Natthaya Chuaypen, Pisit Tangkijvanich, Lena Allweiss, Takara Nishiyama, Naotoshi Nakamura, Yasuhisa Fujita, Eiryo Kawakami, Shinji Nakaoka, Masamichi Muramatsu, Kazuyuki Aihara, Takaji Wakita, Alan S Perelson, Maura Dandri, Koichi Watashi, Shingo Iwami, Yasuhito Tanaka

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Software defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machine by Nana Zhang, Shi Ying, Kun Zhu, Dandan Zhu

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