Linear regressive weighted Gaussian kernel liquid neural network for brain tumor disease prediction using time series data by Firoz Khan, Sardar Irfanullah Amanullah, Shitharth Selvarajan

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Pharmacist-led surgical medicines prescription optimization and prediction service improves patient outcomes - a machine learning based study by Xianlin Li, Xianlin Li, Xiunan Yue, Lan Zhang, Xiaojun Zheng, Nan Shang

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A Comprehensive Framework for Adaptive Electric Vehicle Charging Station Siting and Sizing Based on Transferable Spatio-Temporal Demand Prediction by Yutong Peng, Liqi Ye, Wenrui Ouyang, Qi Xi, Jing Wang, Xiaolin Wang

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Predicting student academic performance using Bi-LSTM: a deep learning framework with SHAP-based interpretability and statistical validation by Emi Kalita, Abdullah Mana Alfarwan, Houssam El Aouifi, Houssam El Aouifi, Ashima Kukkar, Sadiq Hussain, Tazid Ali, Silvia Gaftandzhieva

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An intelligent method for NIR-based prediction of cashmere fiber and wool fiber using Markov transition field and improved YOLOv8 by Jihong Lian, Yongli Liu, Gufeng Tian, Yunhong Li, Yaolin Zhu, Xin Chen, Yule Men

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Surface Deformation Monitoring and Prediction of Longtantian Open-Pit Mine Based on SBAS-InSAR and CNN-BiLSTM Techniques by Xiaoxiao Zhang, Qi Chen, Mengshi Yang, Zhifang Zhao, Yu Zheng, Qixue Dai, Yang He, Dayu Cai, Ting Xu

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Adversarial training with GatedTabTransformer and the GAN to predict re-employment factors of Korean male workers after an industrial accident by Haewon Byeon

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Predicting gene expression changes upon epigenomic drug treatment [version 3; peer review: 4 approved, 2 not approved] by Monjura Afrin Rumi, Vishaka Gopalan, Sridhar Hannenhalli, Piyush Agrawal

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Bi‐Regional Machine Learning Radiomics Based on CT Noninvasively Predicts LOX Expression Level and Overall Survival in Hepatocellular Carcinoma by Kexin Gao, Musa Yaermaimaiti, Yiwei Wang, Guanggai Xia, Ting Xu, Hongcheng Wang

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Using machine learning algorithms to predict risk factors of heart failure after complete mesocolic excision in colorectal cancer patients by Yuan Liu, Yuankun Liu, Yu Zhang, Pengpeng Zhang, Jiaheng Xie, Ning Zhao, Yi Xie, Chao Cheng, Songyun Zhao

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Partner relationships, hopelessness, and health status strongly predict maternal well-being: an approach using light gradient boosting machine by Hikaru Ooba, Jota Maki, Takahiro Tabuchi, Hisashi Masuyama

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Advanced Deep Learning Framework for Predicting the Remaining Useful Life of Nissan Leaf Generation 01 Lithium-Ion Battery Modules by Shamaltha M. Wickramaarachchi, S. A. Dewmini Suraweera, D. M. Pasindu Akalanka, V. Logeeshan, Chathura Wanigasekara

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Corrosion resistance prediction of high-entropy alloys: framework and knowledge graph-driven method integrating composition, processing, and crystal structure by Guangxuan Song, Dongmei Fu, Yongjie Lin, Lingwei Ma, Dawei Zhang

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Predicting antibody kinetics and duration of protection against SARS-CoV-2 following vaccination from sparse serological data. by Julia Deichmann, Noam Barda, Michal Canetti, Yovel Peretz, Yael Weiss-Ottolenghi, Yaniv Lustig, Gili Regev-Yochay, Marc Lipsitch

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Intratumoral and peritumoral CT radiomics in predicting anaplastic lymphoma kinase mutations and survival in patients with lung adenocarcinoma: a multicenter study by Weiyue Chen, Guihan Lin, Ye Feng, Yongjun Chen, Yanjun Li, Jianbin Li, Weibo Mao, Yang Jing, Chunli Kong, Yumin Hu, Minjiang Chen, Shuiwei Xia, Chenying Lu, Jianfei Tu, Jiansong Ji

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Integrating radiomics features and CT semantic characteristics for predicting visceral pleural invasion in clinical stage Ia peripheral lung adenocarcinoma by Fengnian Zhao, Yunqing Zhao, Zhaoxiang Ye, Qingna Yan, Haoran Sun, Guiming Zhou

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Development and validation of a nomogram for predicting false negative IGRA results in pulmonary tuberculosis patients using propensity score matching. by Feng Zhang, Yong Gao, Tuantuan Li, Wei Zhang

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Two-Stage Combined Model for Short-Term Electricity Forecasting in Ports by Wentao Song, Xiaohua Cao, Hanrui Jiang, Zejun Li, Ruobin Gao

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Intra- and peritumoral radiomics nomogram based on DCE-MRI for the early prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer by Yun Zhu, Shuni Zhang, Wei Wei, Li Yang, Lingling Wang, Ying Wang, Ye Fan, Haitao Sun, Zongyu Xie

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Intraday and Post-Market Investor Sentiment for Stock Price Prediction: A Deep Learning Framework with Explainability and Quantitative Trading Strategy by Guowei Sun, Yong Li

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