Assessment of Knot-Induced Degradation in Timber Beams: Probabilistic Modeling and Data-Driven Prediction of Load Capacity Loss by Peixuan Wang, Guoming Liu, Fanrong Li, Shengcai Li, Gabriele Milani, Donato Abruzzese

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Assessment of Deep Neural Network Models for Direct and Recursive Multi-Step Prediction of PM10 in Southern Spain by Javier Gómez-Gómez, Eduardo Gutiérrez de Ravé, Francisco J. Jiménez-Hornero

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Energy Efficiency in Smart Buildings through Prediction modeling and Optimization Using a Modified Whale Optimization Algorithm by El Assri Nasima, Ennejjar Mohammed, Jallal Mohammed Ali, Chabaa Samira, Zeroual Abdelouhab

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A Hybrid AI Framework for Enhanced Stock Movement Prediction: Integrating ARIMA, RNN, and LightGBM Models by Adel Alarbi, Wagdi Khalifa, Ahmad Alzubi

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An Interpretable and Generalizable Machine Learning Model for Predicting Asthma Outcomes: Integrating AutoML and Explainable AI Techniques by Salman Mahmood, Raza Hasan, Saqib Hussain, Rochak Adhikari

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An interpretable machine learning model for predicting mortality risk in adult ICU patients with acute respiratory distress syndrome by Wanyi Li, Hangyu Zhou, Yingxue Zou

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Long-term predictions of COVID-19 waves in China based on an improved SEIRS-Q model of antibody failure by Mengxuan Lin, Pengyuan Nie, Qunjiao Yan, Xinying Du, Jinquan Chen, Yaqing Jin, Ligui Wang, Lei Wang

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Evaluating Machine Learning and Deep Learning models for predicting Wind Turbine power output from environmental factors. by Montaser Abdelsattar, Mohamed A Ismeil, Karim Menoufi, Ahmed AbdelMoety, Ahmed Emad-Eldeen

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Study on dynamic resilient modulus prediction model of subgrade fine-grained soil based on physical property parameters by Fang Guo, Wei Gu

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Beyond Global Metrics: The U-Smile Method for Explainable, Interpretable, and Transparent Variable Selection in Risk Prediction Models by Katarzyna B. Kubiak, Agata Konieczna, Anna Tyranska-Fobke, Barbara Więckowska

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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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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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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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