A data driven model-free predictive current control for grid-connected inverters by Jindong YANG, Xiran ZHANG, Zeyu YANG, Fei RONG

Subjects: “…finite set model predictive control…”
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Predicting Annual Tigris River Streamflow at Kut Barrage using SAMS Program by Ghufran R. AL-Youdawi, Laith B. AL-Badranee

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Development and validation of a nomogram for predicting cognitive frailty in patients on cancer by Hui Wang, Yu Xia Wu, Su Yun Dong, Yan Qian, Hai Ou Yan

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Closing in on Hydrologic Predictive Accuracy: Combining the Strengths of High‐Fidelity and Physics‐Agnostic Models by Vinh Ngoc Tran, Valeriy Y. Ivanov, Donghui Xu, Jongho Kim

“…Abstract Applications of process‐based models (PBM) for predictions are confounded by multiple uncertainties and computational burdens, resulting in appreciable errors. …”
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Improved Model Predictive Control Algorithm for the Path Tracking Control of Ship Autonomous Berthing by Chunyu Song, Xiaomin Guo, Jianghua Sui

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Validation of a predictive model for platelet transfusion refractoriness in patients with hematological diseases by HUANG Xiulan, YUE Shuhan, CAI Qun, LU Liqi, HE Mengzhen, LEI Qiao, LIU Caoyi, ZHANG Jingwei

“…[Objective] To validate and optimize the platelet transfusion refractoriness (PTR) prediction model for patients with hematological disorders established by our center. …”
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A prediction model for guiding tumor microwave ablation surgery based on simulation by Lu Qian, Yamin Yang, Pan Chen, Jia Liu, Xiaofei Jin, Zhiyu Qian, Chunxiao Chen

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Boosting Cervical Cancer Prediction Leveraging a Hybrid FT-Transformer Model by Md Emamul Hossen, S. M. Mahim, Shakib Al Hasan, Md Khairul Islam, Md Shohidul Islam, Salahuddin Khan, Mohammad Alibakhshikenari, Peiman Parand, Md Sipon Miah

“…To address this critical clinical need, we propose an innovative Hybrid FT-Transformer model that synergistically integrates a Feature Tokenization (FT) Transformer with Depthwise convolutional neural networks and Long Short-Term Memory (LSTM) networks for precise CC prediction. …”
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Milling-Force Prediction Model for 304 Stainless Steel Considering Tool Wear by Changxu Wang, Yan Li, Feng Gao, Kejun Wu, Kan Yin, Peng He, Yunjiao Xu

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Exploring the VAK model to predict student learning styles based on learning activity by Ahmed Rashad Sayed, Mohamed Helmy Khafagy, Mostafa Ali, Marwa Hussien Mohamed

“…To accomplish this goal, we have proposed an integrated system which encompasses the use of machine learning (ML) algorithms. This hybrid model is aimed at linking various activities to VAK model of learning and hence place students in their various class learning preferences derived from their activities and the patterns created during the learning processes. …”
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Charging-Related State Prediction for Electric Vehicles Using the Deep Learning Model by De Zhao, Hua Wang, Zhiyuan Liu

“…Among all states, the proposed model has a higher prediction accuracy on “home stop” (89.0%). …”
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Development of Concentration-Prediction Models in Multiple Manufacturing Environments Using NIR Spectroscopy by Yusuke Hayashi, Saho Okazaki, Kazuya Tanabe, Takuya Nagato, Hirokazu Sugiyama

“…This work presents development of concentration-prediction models applicable to multiple work environments using near-infrared (NIR) spectroscopy. …”
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Construction and validation of risk prediction models for different subtypes of retinal vein occlusion by Chunlan Liang, Lian Liu, Wenjuan Yu, Qi Shi, Jiang Zheng, Jun Lyu, Jingxiang Zhong

“…Purpose: While prognostic models for retinal vein occlusion (RVO) exist, subtype-specific risk prediction tools for central retinal vein occlusion (CRVO) and branch retinal vein occlusion (BRVO) remain limited. …”
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Spherical assembly model and prediction of pressure loss of porous media flow in goaf by Fangxing CHEN, Xiaoli HAO, Shiqiang CHEN, Yiqun LI, Shilin LI, Yi LU

“…The model is used to predict the pressure loss, and the simulation results are compared with the predicted values of Ergun equation. …”
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Predictive modeling of building energy consumption and thermal comfort for decarbonization in construction and retrofitting by Sameer Algburi, Aymen Mohammed, Ibrahim Abdullah, Talib Munshid Hanoon, Hassan Falah Fakhruldeen, Otabek Mukhitdinov, Feryal Ibrahim Jabbar, Qusay Hassan, Ali Khudhair, David Kato

Subjects: “…Predictive energy modeling…”
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Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

Subjects: “…water quality prediction|ceemdan decomposition|fuzzy dispersion entropy|mantis search algorithm|hybrid model…”
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Prediction of thermodynamic properties of aqueous carbohydrates solution using the PHSC and ANN models by Soud Khalil Ibrahim, Rafid Jihad Albadr, Dharmesh Sur, Anupam Yadav, Soumya V. Menon, Debasish Shit, S. Supriya, Rajashree Panigrahi, Waam Mohammed Taher, Mariem Alwan, Mahmood Jasem Jawad, Hiba Mushtaq

“…The model’s performance has been evaluated using the prediction of sugar solubilities in water. …”
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Evapotranspiration Prediction Method Based on K-Means Clustering and QPSO-MKELM Model by Chuansheng Zhang, Minglai Yang

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Parameter-Efficient Adaptation of Large Vision—Language Models for Video Memorability Prediction by Iván Martín-Fernández, Sergio Esteban-Romero, Fernando Fernández-Martínez, Manuel Gil-Martín

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From Concept to Market: Ensemble Predictive Model for Research Project Crowdfunding Readiness by Andreea Cristina Ionica, Stanislav Cseminschi, Monica Leba

Subjects: “…predictive analytics…”
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