SIAT: Pedestrian trajectory prediction via social interaction-aware transformer by Chengdong Wang, Jianming Wang, Wenbo Gao, Lei Guo

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Machine Learning Approaches for Predicting Employee Turnover: A Systematic Review by Hojat Talebi, Amid Khatibi Bardsiri, Vahid Khatibi Bardsiri

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An intelligent dashboard framework for healthcare data analysis and disease outbreak prediction by B. Divya Prabha, P. S. S. Akilashri

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A Review of Artificial Intelligence Applications in Predicting Faults in Electrical Machines by Mathew Habyarimana, Abayomi A. Adebiyi

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ISLRWR: A network diffusion algorithm for drug-target interactions prediction. by Lu Sun, Zhixiang Yin, Lin Lu

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TKEO-Enhanced Machine Learning for Classification of Bearing Faults in Predictive Maintenance by Xuanbai Yu, Olivier Caspary

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On the use of the stepped isostress method in the prediction of creep behavior of polyamide 6 by Lakhdar Sedira, Mohsein Tedjini, Belhi Guerira, Kamel Meftah

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Predicting time-to-first cancer diagnosis across multiple cancer types by Kien Lau, Gregory R. Hart, Jun Deng

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Stroke Prediction Analysis using Machine Learning Classifiers and Feature Technique by Md. Monirul Islam, Sharmin Akter, Md. Rokunojjaman, Jahid Hasan Rony, Al Amin, Susmita Kar

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The Influential Factors and Prediction of Kuroshio Extension Front on Acoustic Propagation-Tracked by Weishuai XU, Lei ZHANG, Hua WANG

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Single-step retrosynthesis prediction via multitask graph representation learning by Peng-Cheng Zhao, Xue-Xin Wei, Qiong Wang, Qi-Hao Wang, Jia-Ning Li, Jie Shang, Cheng Lu, Jian-Yu Shi

“…It develops a multitask graph representation learning model for single-step retrosynthesis prediction (Retro-MTGR) to solve reaction centre deduction and LG identification simultaneously. …”
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Comprehensive Evaluation of Frailty and Sarcopenia Markers to Predict Survival in Glioblastoma Patients by Chao Yang, Chao Ma, Cheng‐Shi Xu, Si‐Rui Li, Chen Li, Ze‐Fen Wang, Zhi‐Qiang Li

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Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing by Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel

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Cosmological Prediction of the Void and Galaxy Clustering Measurements in the CSST Spectroscopic Survey by Yingxiao Song, Qi Xiong, Yan Gong, Furen Deng, Kwan Chuen Chan, Xuelei Chen, Qi Guo, Guoliang Li, Ming Li, Yun Liu, Yu Luo, Wenxiang Pei, Chengliang Wei

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ADVANCED NEURAL NETWORKS AND DEEP LEARNING TECHNIQUES IN FINANCIAL MARKET PREDICTION by ENE CEZAR CATALIN

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Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction. by Akash Bahai, Chee Keong Kwoh, Yuguang Mu, Yinghui Li

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Predicting co-word links via heterogeneous graph convolutional networks by Yangmin Li, Xin Zhang, Xin Bai, Sen Bai, Zhengang Jiang

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Addressing data imbalance in collision risk prediction with active generative oversampling by Li Li, Xiaoliang Zhang

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Bankruptcy prediction indicators approach: A tool for measuring steinhoff’s risk by Ronel Juliana' Cassim

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Highly Available Li-Ion Batteries Sensors Readings Prediction Framework by Anas Tiane, Mohamad Alzayed, Chafik Okar, Safi Bamati, Hicham Chaoui

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