Research on abnormal power consumption detection method of power big data based on LightGBM model and LSTM model by YANG Zhidong, DING Jianwu, CHEN Guangjiu, KANG Xiaojing, SHENG Meng

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Machine learning-based pseudo-continuous pedotransfer function for predicting soil freezing characteristic curve by Sangyeong Park, Yongjoon Choe, Hangseok Choi, Khanh Pham

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Characteristics and prediction methods of coal spontaneous combustion for deep coal mining in the Ximeng mining area by Li MA, Wenbo GAO, Longlong TUO, Pengyu ZHANG, Zhou ZHENG, Ruizhi GUO

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Machine learning and SHAP value interpretation for predicting comorbidity of cardiovascular disease and cancer with dietary antioxidants by Xiangjun Qi, Shujing Wang, Caishan Fang, Jie Jia, Lizhu Lin, Tianhui Yuan

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Time to failure prediction for MLCCs: A machine learning approach based on leakage current data by Tianyu Jiang, Jincheng Qin, Faqiang Zhang, Mingcao Li, Xiaolian Yan, Mingsheng Ma, Yongxiang Li, Zhifu Liu

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Predicting Coronavirus Pandemic in Real-Time Using Machine Learning and Big Data Streaming System by Xiongwei Zhang, Hager Saleh, Eman M. G. Younis, Radhya Sahal, Abdelmgeid A. Ali

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Protocol for predicting single- and multiple-dose-dependent gene expression using deep generative learning by Derek E. Bowman, Vishal Panda, Daniel Marri, Omar Kana, Sudin Bhattacharya

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Emergency Surgery Mortality (ESM) Score to Predict Mortality and Improve Patient Care in Emergency Surgery by Sirirat Tribuddharat, Thepakorn Sathitkarnmanee, Pavit Sappayanon

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Predicting over-the-counter antibiotic use in rural Pune, India, using machine learning methods by Pravin Arun Sawant, Sakshi Shantanu Hiralkar, Yogita Purushottam Hulsurkar, Mugdha Sharad Phutane, Uma Satish Mahajan, Abhay Machindra Kudale

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ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application by Rajib Kumar Halder, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal, Sajeeb Saha, Rakib Hossen, Sabbir Ahmed, Mohammad Abu Tareq Rony, Mosammat Farida Akter

“…Additionally, we present a real-time web-based application to operationalize the model, enhancing accessibility for healthcare practitioners and stakeholders.Web app link: https://rajib-research-kedney-diseases-prediction.onrender.com/…”
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Short-Term Interval Prediction of Inbound Passenger Flow of Subway Station under Failure Events by Yichao Pu, Xiangdong Xu, Qianqi Fan, Shengyu Zhang, Jilai Chen

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Predicting Flight Delays with Machine Learning: A Case Study from Saudi Arabian Airlines by Meshal Alfarhood, Rakan Alotaibi, Bassam Abdulrahim, Ahmad Einieh, Mohammed Almousa, Abdulrhman Alkhanifer

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Ability of soluble TREM2 and PRO-C3 as biomarkers to predict changes in MASLD activity by Charlotte Wilhelmina Wernberg, Vineesh Indira Chandran, Mette Munk Lauridsen, Maria Kløjgaard Skytthe, Camilla Dalby Hansen, Johanne Kragh Hansen, Lea Ladegaard Grønkjær, Birgitte Gade Jacobsen, Tina Di Caterino, Sönke Detlefsen, Maja Thiele, Alejandro Mayorca Guiliani, Ida Falk Villesen, Diana Julie Leeming, Morten Karsdal, Jonas Heilskov Graversen, Aleksander Krag

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The Tumor-Associated Neutrophils-Related Signatures Predict Prognosis and Indicate Immune Landscape in Colorectal Carcinoma by Ying Wang, Yizhen Zhu, Yuling Zeng, Shuhui Gao, Youcai Tang, Ming Wei

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Trans-UNet Network for Predicting Bathymetry in South China Sea From Gravity and Geological Data by Shuai Zhou, Binbin Liao, Fengshun Zhu, Yang Li, Jinbo Li, Jinyun Guo, Heping Sun

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Manifold embeddings achieve comparable performance with multispectral imagery for time-series based land disturbance detection by Mengyao Li, Jianbo Qi, Su Ye, Qiao Wang

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Smart grid stability prediction using Adaptive Aquila Optimizer and ensemble stacked BiLSTM by Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, Mohammed Gamal Ragab, Alawi Alqushaibi, Ebrahim Hamid Sumiea

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LSTM-based Prediction of Short-term Water Level for Three Gorges and Gezhouba Cascade Powerplants by WANG Tao, XU Yang, CAO Hui, LIU Ya-xin, MA Hao-yu, ZHANG Zheng, XIE Shuai, CHANG Xin-yu

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Hybrid deep learning approach for rock tunnel deformation prediction based on spatio-temporal patterns by Junfeng Sun, Yong Fang, Hu Luo, Zhigang Yao, Long Xiang, Jianfeng Wang, Yubo Wang, Yifan Jiang

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Novel method for predicting the risk of spoilage by lactic acid bacteria during the storage of Japanese sake by Masayuki Takahashi, Kana Morikawa, Takeshi Akao

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