EBSSPA: Efficient Deep Learning Model for Enhancing Blockchain Scalability and Security Through Fusion Pattern Analysis by Anuradha Hiwase, Amit Pimpalkar, Barkha Dange, Nitin Thakre, Sakshi Jaiswal, Tejaswini Mankar

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Degradation of poly (2-ethyl-2-oxazoline) prepared at lower temperature: a study of kinetics using thermal analysis and advanced predictive modeling by Abdulrahman Alarabi, Imtiaz Ali

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Prediction of China’s Polysilicon Prices: A Combination Model Based on Variational Mode Decomposition, Sparrow Search Algorithm and Long Short-Term Memory by Jining Wang, Lin Jiang, Lei Wang

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Extreme Wind Speed Prediction Based on a Typhoon Straight-Line Path Model and the Monte Carlo Simulation Method: A Case for Guangzhou by Zhike Lu, Xinrui Zhang, Junling Hong, Wanhai Xu

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Fully-connected network-based prediction model for lymph node metastasis in clinical early-stage endometrial cancer: development and validation in two centers by Shuyan Cai, Shuyan Cai, Yuzhen Huang, Yuzhen Huang, Wei Liu, Wei Liu, Yulan Ren, Huaying Wang, Zhiying Xu, Zhiying Xu, Yu Xue, Yu Xue, Yiqin Wang, Xiaojun Chen, Xiaojun Chen, Xiaojun Chen

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A machine learning-based prediction model for sepsis-associated delirium in intensive care unit patients with sepsis-associated acute kidney injury by Shuangjiang Yu, Xuming Pan, Manyuan Zhang, Jiancheng Zhang, Danlei Chen

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Random Forest-Based Machine Learning Model Design for 21,700/5 Ah Lithium Cell Health Prediction Using Experimental Data by Sid-Ali Amamra

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Construction of regulatory T cells specific genes predictive models of prostate cancer patients based on machine learning: a computational analysis and in vitro experiments by Zhengrong Zhou, Chaozhao Liang

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Assessing <i>Sirex noctilio</i> Fabricius (Hymenoptera: Siricidae) Damage in Pine Plantations Using Remote Sensing and Predictive Machine Learning Models by Andrés Hirigoyen, José Villacide

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Data-Driven ANN-Based Predictive Modeling of Mechanical Properties of 5Cr-0.5Mo Steel: Impact of Composition and Service Temperature by Muhammad Ishtiaq, Saurabh Tiwari, Molakatala Nagamani, Sung-Gyu Kang, Nagireddy Gari Subba Reddy

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Predicting inhibitors of OATP1B1 via heterogeneous OATP-ligand interaction graph neural network (HOLIgraph) by Mehrsa Mardikoraem, Joelle N. Eaves, Theodore Belecciu, Nathaniel Pascual, Alexander Aljets, Bruno Hagenbuch, Erik M. Shapiro, Benjamin J. Orlando, Daniel R. Woldring

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Data-Driven Analysis of Causes and Risk Assessment of Marine Container Losses: Development of a Predictive Model Using Machine Learning and Statistical Approaches by Myung-Su Yi, Byung-Keun Lee, Joo-Shin Park

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Prediction of drug exposure in hepatic impairment: a comparison between minimal physiologically based pharmacokinetic (mPBPK) and whole body PBPK models by Iftekhar Mahmood

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ENHANCING PORE PRESSURE PREDICTION IN OIL WELL DRILLING: A COMPREHENSIVE STUDY OF WELL PLANNING AND COST-EFFECTIVE MODELING IN THE NIGER DELTA REGION by Kelechi Anthony Ofonagoro, Olawe Alaba Tula, Joachim Osheyor Gidiagba, Tina Chinwe Ndiwe

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Habitat Suitability in the Eyes of the Beholder: Using Random Forest Models to Predict Land Cover Type and Scale of Selection Through Avian Functional Traits by Adisa Julien, Stephanie Melles

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A Data-Driven Strategy for Long-Term Agrarian Sustainability using the Application of Machine Learning Algorithms to Predictive Models for Pest and Disease Management by Almusawi Muntather, Ameer S. Abdul, Lalitha Yaragudipati Sri

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Systems modelling of the EGFR-PYK2-c-Met interaction network predicts and prioritizes synergistic drug combinations for triple-negative breast cancer. by Sung-Young Shin, Anna-Katharina Müller, Nandini Verma, Sima Lev, Lan K Nguyen

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GreenNav: Spatiotemporal Prediction of CO₂ Emissions in Paris Road Traffic Using a Hybrid CNN-LSTM Model by Youssef Mekouar, Imad Saleh, Mohammed Karim

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Cellular Automaton Simulation Model for Predicting the Microstructure Evolution of an Additively Manufactured X30Mn21 Austenitic Advanced High-Strength Steel by Ashutosh Singh, Christian Haase, Luis A. Barrales-Mora

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Development and validation of machine learning models for osteoporosis prediction in chronic kidney disease patients: Data from National Health and Nutrition Examination survey by Hui Li, Ya Zhang, Chong Zhang

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