Prediction of unobserved bifurcation by unsupervised extraction of slowly time-varying system parameter dynamics from time series using reservoir computing by Keita Tokuda, Yuichi Katori

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Impact of Normal Lung Volume Choices on Radiation Pneumonitis Risk Prediction in Locally Non-small Cell Lung Cancer Radiation Therapy by Alyssa Gadsby, MS, Tian Liu, PhD, Robert Samstein, MD, Jiahan Zhang, PhD, Yang Lei, PhD, Kenneth E. Rosenzweig, MD, Ming Chao, PhD

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Using machine learning to predict the probability of incident 2-year depression in older adults with chronic diseases: a retrospective cohort study by Ying Zheng, Taotao Zhang, Shu Yang, Fuzhi Wang, Li Zhang, Yuwen Liu

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Effects of Red Vinasse on Physicochemical Qualities of Blue Round Scad (<i>Decapterus maruadsi</i>) During Storage, and Shelf Life Prediction by Shan Xue, Shuyi Chen, Bohu Liu, Jia Liu

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Interpretable Machine Learning for Multi-Crop Yield Prediction in Semi-Arid Regions: A Hierarchical Approach to Handle Climate Data Sparsity by Rachid Ed-daoudi, M’barek El Haloui

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High‐Precision Prediction of Ionospheric TEC in the China Region Based on CMONOC High‐Resolution Data and an Auxiliary Attention Temporal Convolutional Network by Jianghe Chen, Pan Xiong, Haochen Wu, Xiaoran Zhang, Xuemin Zhang, Rongzi Chai, Ting Zhang, Kaixin Wang, Chaoyu Wang

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Experimental and numerical analysis of performance and emission characteristics of CI engine using Juliflora-Gulmohar biodiesel/blends and ANN prediction using MATLAB by B. Musthafa, M. Prabhahar

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Machine learning for predicting physical parameters of atom-vacancy defects from low-frequency noise in few-atom layer MoS2 by Y. Nonaka, K. Takaki, Y. Kobayashi, J. Haruyama

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A Two-Stage Sequential Framework for Traffic Accident Post-Impact Prediction Utilizing Real-Time Traffic, Weather, and Accident Data by Amirhossein Abdi, Seyedehsan Seyedabrishami, Steve O’Hern

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Quantitative Prediction of Residual Stress, Surface Hardness, and Case Depth in Medium Carbon Steel Plate Based on Multifunctional Magnetic Testing Techniques by Changjie Xu, Xianxian Wang, Haijiang Dong, Juanjuan Li, Liting Wang, Xiucheng Liu, Cunfu He

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Prediction of the time course of callus stiffness as a function of mechanical parameters in experimental rat fracture healing studies--a numerical study. by Tim Wehner, Malte Steiner, Anita Ignatius, Lutz Claes

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Predicting the Speed of Chinese Elite Cross-Country Skiers: A Neural Network Approach Based on the Measurement of Key Biomechanical and Physiological Parameters by Huijuan Shi, Xiaolan Zhu, Shuang Zhao, Hans-Christer Holmberg, Hui Liu

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Integrative radiomics of intra- and peri-tumoral features for enhanced risk prediction in thymic tumors: a multimodal analysis of tumor microenvironment contributions by Liang zhu, Jiamin Li, Xuefeng Wang, Yan He, Siyuan Li, Shuyan He, Biao Deng

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Baseline [18F]FDG PET/CT radiomics for predicting interim efficacy in follicular lymphoma treated with first-line R-CHOP by Zeying Wen, Xiaohe Gao, Qingxia Wu, Jianwei Yang, Jian Sun, Keliu Wu, Hongfei Zhao, Ruihua Wang, Yanmei Li

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Metabolic reprogramming signature predicts prognosis and immune landscape in small cell lung cancer: MOCS2 validation and implications for personalized therapy by Junyan Wang, Panpan Sun, Fan Zhang, Yu Xu, Shenghu Guo

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The Role of Empathic Tendency, Belief in Teaching Competency and Job Satisfaction in Predicting Attitudes towards the Teaching Profession in Primary and Secondary School Teachers by Öner Çelikkaleli, Ahmet Şadan Ökmen

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Enhancing microgrid forecasting accuracy with a TCNN-TLS framework: A novel approach to mitigating uncertainty in renewable energy and load predictions by Md. Omer Faruque, Md. Majharul Islam, Md Jakaria Talukder, Arif Mia, Shahriar Tasnim, Md. Alamgir Hossain, S.M. Muyeen

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Swarm intelligence based classification rule induction (CRI) framework for qualitative and quantitative approach: An application of bankruptcy prediction and credit risk analysis by J. Uthayakumar, T. Vengattaraman, P. Dhavachelvan

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Post-stroke spontaneous motor recovery in mice can be predicted from acute-phase local field potential using machine learning by Nicolò Meneghetti, Michael Lassi, Verediana Massa, Silvestro Micera, Alberto Mazzoni, Claudia Alia, Andrea Bandini

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Robust prediction of chlorophyll-A from nitrogen and phosphorus content in Philippine and global lakes using fine-tuned, explainable machine learning by Karl Ezra Pilario, Eric Jan Escober, Aurelio de los Reyes V, Maria Pythias Espino

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