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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MAPM:PolSAR Image Classification with Masked Autoencoder Based on Position Prediction and Memory Tokens by Jianlong Wang, Yingying Li, Dou Quan, Beibei Hou, Zhensong Wang, Haifeng Sima, Junding Sun

“…In addition, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="italic">L</mi><mn>1</mn></msub></semantics></math></inline-formula> loss is used for MAE optimization to enhance the robustness of the model to outliers in PolSAR data. …”
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Investigating Tree Family Machine Learning Techniques for a Predictive System to Unveil Software Defects by Rashid Naseem, Bilal Khan, Arshad Ahmad, Ahmad Almogren, Saima Jabeen, Bashir Hayat, Muhammad Arif Shah

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Prediction of future runoff in the Lancang River Basin based on CMIP6 under climate change by Kaidong Lu, Tingting Cui, Yintang Wang, Yong Liu, Xieyao Ma

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Predictive value of triglyceride glucose index in non-obese non-alcoholic fatty liver disease by He Liu, Fang Sun, Xiaopeng Zhu, Xia Gao, Juan Deng, ZhongYan Luo, Yijian Sun, Liqi Fan

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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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Machine Learning-Based Approach for HIV/AIDS Prediction: Feature Selection and Data Balancing Strategy by Abdul Mizwar A Rahim, Ahmad Ridwan, Bambang Pilu Hartato, Firman Asharudin

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Machine learning-based prediction of antibiotic resistance in Mycobacterium tuberculosis clinical isolates from Uganda by Sandra Ruth Babirye, Mike Nsubuga, Gerald Mboowa, Charles Batte, Ronald Galiwango, David Patrick Kateete

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Cooperative Multiagent System for Parking Availability Prediction Based on Time Varying Dynamic Markov Chains by Surafel Luleseged Tilahun, Giovanna Di Marzo Serugendo

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