Machine learning models for predicting morphological traits and optimizing genotype and planting date in roselle (Hibiscus Sabdariffa L.) by Fazilat Fakhrzad, Warqaa Muhammed ShariffAl-Sheikh, Mohammed M. Mohammed, Heidar Meftahizadeh

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A scoping review of machine learning models to predict risk of falls in elders, without using sensor data by Angelo Capodici, Claudio Fanconi, Catherine Curtin, Alessandro Shapiro, Francesca Noci, Alberto Giannoni, Tina Hernandez-Boussard

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Predicting China’s Energy Consumption and CO₂ Emissions by Employing a Novel Grey Model by Meixia Wang

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Comparison of Machine Learning Models to Predict Nighttime Crash Severity: A Case Study in Tyler, Texas, USA by Raja Daoud, Matthew Vechione, Okan Gurbuz, Prabha Sundaravadivel, Chi Tian

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Dysregulated interleukin networks drive immune heterogeneity in Alzheimer’s disease: an immunogenomic approach to subgroup classification and predictive modeling by Bin Zhang, Binglei Xu, Ruoxian Zhang, Baoying Gong, Jianwen Guo

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Comparison of LSTM and Transformer Models in Predicting NVIDIA Stock Closing Prices and the Application of Rule-based Trading Strategies by Muhammad Irfan Abdul Gani, Putry Wahyu Setyaningsih

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Interpretable machine learning model for predicting anastomotic leak after esophageal cancer surgery via LightGBM by Xiaodong Yang, Fulin Dou, Guoshuo Tang, Ruipu Xiu, Xiaogang Zhao

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Forest Fire Risk Prediction in South Korea Using Google Earth Engine: Comparison of Machine Learning Models by Jukyeong Choi, Youngjo Yun, Heemun Chae

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Application of nonlinear regression models for prediction of cardinal temperatures in seed germination of various cumin (Cuminum cyminum) ecotypes by M. Habibzadeh Zarandi, I. Allahdadi, H. Khalaj, M.R. Labbafi

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Identifying key aspects to enhance predictive modeling for early identification of schistosomiasis hotspots to guide mass drug administration. by Yewen Chen, Fangzhi Luo, Leonardo Martinez, Susan Jiang, Ye Shen

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Estimation of drought trends and comparison between SPI and SPEI with prediction using machine learning models in Rangpur, Bangladesh by Mst. Labony Akter, Md. Naimur Rahman, Syed Anowerul Azim, Md. Rakib Hasan Rony, Md. Salman Sohel, Hazem Ghassan Abdo

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Optimized MaxEnt Model Predicts Future Suitable Habitats for Chinese Caterpillar Fungus Under Climate Change by Yaqin Peng, Zhihang Zhuo, Qianqian Qian, Danping Xu

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Predicting Trunk Muscle Activity in Chronic Low Back Pain: Development of a Supervised Machine Learning Model by Sara Salamat, Vahideh Montazeri, Saeed Talebian

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Probabilistic Prediction Model for Ultimate Conditions Under Compression of FRP-Wrapped Concrete Columns Based on Bayesian Inference by Feng Cao, Ran Zhu, Jun-Xing Zheng, Hai-Bin Huang, Dong Liang

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Prediction of the anti-carbonation performance of concrete based on random forest – least squares support vector machine model by Sivaraja M., Swaminathen A. N., Kuttimarks M. S., Rajprasad J., Sakthivel M., Rex J.

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Cost-saving prediction model of transfer to palliative care for terminal cancer patients in a Japanese general hospital by Yuki Hashimoto, Akitoshi Hayashi, Takashi Tonegawa, Lida Teng, Ataru Igarashi

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Machine learning aided optoelectric characterization modelling and prediction of the IV parameters of perovskite solar cells with > 90% accuracy by Jeykishan Kumar, Bidisha Nath, Tulika Bhattacharjee, Praveen C. Ramamurthy

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The Early Prediction of Kimchi Cabbage Heights Using Drone Imagery and the Long Short-Term Memory (LSTM) Model by Seung-hwan Go, Jong-hwa Park

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Energy Scheduling of Hydrogen Hybrid UAV Based on Model Predictive Control and Deep Deterministic Policy Gradient Algorithm by Haitao Li, Chenyu Wang, Shufu Yuan, Hui Zhu, Bo Li, Yuexin Liu, Li Sun

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Enhancing drug-target affinity prediction through pre-trained language model and gated multi-head attention by Ghina Khoerunnisa, Isman Kurniawan

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