Study on Photovoltaic Plant Site Selection Models Based on Geographic and Environmental Features by RAO Zhi, YANG Zaimin, YANG Xiongping, LI Jiaming, YANG Ping, WEI Zhichu

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Identifying leptospirosis hotspots in Selangor: uncovering climatic connections using remote sensing and developing a predictive model by Muhammad Akram Ab Kadir, Rosliza Abdul Manaf, Siti Aisah Mokhtar, Luthffi Idzhar Ismail

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PPI-Graphomer: enhanced protein-protein affinity prediction using pretrained and graph transformer models by Jun Xie, Youli Zhang, Ziyang Wang, Xiaocheng Jin, Xiaoli Lu, Shengxiang Ge, Xiaoping Min

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Improving Discharge Predictions in Ungauged Basins: Harnessing the Power of Disaggregated Data Modeling and Machine Learning by Aggrey Muhebwa, Colin J. Gleason, Dongmei Feng, Jay Taneja

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Prediction of Power System Ramping Demand Using Meteorological Features by Kuan Lu, Song Gao, Jun Li, Kang Chen, Chunhao Yu

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A Predictive Analysis of Beach Susceptibility to Jellyfish Arrivals in Costa del Sol by Ana de la Fuente Roselló, María Jesús Perles Roselló, Francisco José Cantarero Prados

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EnsembleNPPred: A Robust Approach to Neuropeptide Prediction and Recognition Using Ensemble Machine Learning and Deep Learning Methods by Supatcha Lertampaiporn, Warin Wattanapornprom, Chinae Thammarongtham, Apiradee Hongsthong

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Development of a Nomogram Model to Predict the Risk of Pneumothorax after CT-guided Coaxial Core Needle Lung Biopsy: A Cross-sectional Study by Mahitha J Alapati, C Nellaiappan, S Kalpana, SK Gopibagya

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Extended State Observer-Based Robust Model Predictive Velocity Control for Permanent Magnet Synchronous Motor by Eunji Lee, Yonghao Gui, Sesun You, Jun Moon, Wonhee Kim

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Predictive turbulence-driven flux model of scrape-off layer widths across confinement regimes in tokamaks by Mathieu Peret, Jerome Guterl, Tess N. Bernard, Federico D. Halpern, Nicolas Fedorczak

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Hybrid-Vector Deadbeat Model Predictive Torque Control for SPMSM With Improved Switching Loss and Synthesis Accuracy by Weiyang Hou, Yiru Miao, Ruizhi He, Wu Liao, Qiwei Xu, Shoudao Huang, Yuxiaoying Tu

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Improved Modulated Model Predictive Control: Reducing Total Harmonic Distortion, Computational Burden, and Parameter Sensitivity by Seyed Rasul Eftekhari, Ali Mosallanejad, Hamidreza Pairo, Jose Rodriguez

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Predictive integrated modelling of the hybrid and baseline scenarios of JT-60SA in view of the second operational phase by S. Gabriellini, V.K. Zotta, L. Garzotti, N. Aiba, J.-F. Artaud, G. Giruzzi, G. Pucella, C. Sozzi, D. Taylor, T. Wakatsuki, L. Burla, C. Leoni, R. Gatto, the JT-60SA integrated project team

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A nomogram for predicting poor sleep quality in patients with systemic lupus erythematosus by Ling Ma, Yan-Hong Li, Xin Guo, Ying Wang, Yin-Lan Wu, Chun-Yu Tan

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CBFs-Based Model Predictive Control for Obstacle Avoidance With Tilt Angle Limitation for Ball-Balancing Robots by Minh Duc Pham, Duc Cuong Vu, Thi Thuy Hang Nguyen, Thi-van-Anh Nguyen, Minh Nhat Vu, Tung Lam Nguyen

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An Improved Multiobjective Model-Predictive Control Method for Active Neutral-Point-Clamped Five-Level Converter by Qiguang Ren, Chang Liu, Xiangyang Xing, Rui Zhang, Chenghui Zhang

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Enhanced Inverse Model Predictive Control for EV Chargers: Solution for DC–DC Side by Abdullah Berkay Bayindir, Ali Sharida, Sertac Bayhan, Haitham Abu-Rub

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Long-Horizon Direct Model Predictive Control for Medium-Voltage Converters Connected to a Distorted Grid by Andrei Tregubov, Petros Karamanakos, Ludovico Ortombina

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Lane-Keeping Assistance System Based on Model Predictive Control With Smooth Transitions Between Operational Modes by Younsung Hong, Jae-Sung Moon, Yunhyoung Hwang

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A predictive machine-learning model for clinical decision-making in washed microbiota transplantation on ulcerative colitis by Sheng Zhang, Gaochen Lu, Weihong Wang, Qianqian Li, Rui Wang, Zulun Zhang, Xia Wu, Chenchen Liang, Yujie Liu, Pan Li, Quan Wen, Bota Cui, Faming Zhang

“…Besides, the voting ensembles exhibited an area under curve (AUC) of 0.769 ± 0.019 [accuracy, 0.754; F1-score, 0.845] in the internal validation; the AUC of the external validation was 0.614 ± 0.017 [accuracy, 0.801; F1-score, 0.887]. Additionally, the model was available at https://wmtpredict.streamlit.app.ConclusionsThis study pioneered the development of a machine learning model to predict the one-month clinical response of WMT on UC. …”
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