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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Evapotranspiration Prediction Method Based on K-Means Clustering and QPSO-MKELM Model by Chuansheng Zhang, Minglai Yang

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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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Establishment and validation of a predictive model for coronary artery lesions in children with KDSS by Zhihui Zhao, Yue Yuan, Lu Gao, Hongxia Li, Qirui Li, Zhen Zhen, Shunying Zhao, Yanyan Xiao

Subjects: “…Coronary artery lesions prediction model…”
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Bearing Degradation Process Prediction Based on the Support Vector Machine and Markov Model by Shaojiang Dong, Shirong Yin, Baoping Tang, Lili Chen, Tianhong Luo

“…After the bearing degradation process is predicted by SVM model, the Markov model is used to improve the prediction accuracy. …”
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PREDICTION STAGES OF THE DIFFICULT INERTIA SYSTEM BEHAVIOR WITH THE USE OF THE DEVELOPED SYSTEM MODEL by Vasyl V. Bychenkov

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Prediction of power grid fault repair time based on multi-model fusion by Jianyue PAN, Yizhen WU, Hanlin XU

“…There are many types of power grid faults,and the reasons are complicated.The prediction of fault repair time is difficult.Due to the rise of new technologies such as deep learning,it is feasible to accurately mine the faulty worksheet and accurately predict the fault repair time.Taking the historical grid fault repair worksheet as the research object,the multi-model fusion prediction method was proposed,and the prediction results of LightGBM,XGBoost and LSTM were weighted and fused.The experimental results show that the multi-model fusion prediction method can accurately estimate the fault repair time and provide better support for the automation and intelligence of grid fault repair.…”
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Large language model trained on clinical oncology data predicts cancer progression by Menglei Zhu, Hui Lin, Jue Jiang, Abbas J. Jinia, Justin Jee, Karl Pichotta, Michele Waters, Doori Rose, Nikolaus Schultz, Sulov Chalise, Lohit Valleru, Olivier Morin, Jean Moran, Joseph O. Deasy, Shirin Pilai, Chelsea Nichols, Gregory Riely, Lior Z. Braunstein, Anyi Li

“…Analyzing 39,319 radiology impression notes from 4002 patients, it achieved an overall area under the receiver operating characteristic curve (AUROC) of 0.97 for cancer progression prediction on MSK data, including a notable 0.98 AUROC for pancreatic cancer. …”
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Distributed Model Predictive Cross-Dimensional Formation Control for Heterogeneous Multiagent Systems by Haitao Liu, Zhaoxin Li, Qingqun Mai, Haochun Liu, Xuehong Tian

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AI Knows You: Deep Learning Model for Prediction of Extroversion Personality Trait by Anam Naz, Hikmat Ullah Khan, Sami Alesawi, Omar Ibrahim Abouola, Ali Daud, Muhammad Ramzan

“…The state-of-the-art shallow machine learning, ensemble modelling and deep learning models are applied. The main novelty is the exploration of latest sentence embeddings which captures semantic information of content in a better manner. …”
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LMI-Based Model Predictive Control for Underactuated Surface Vessels with Input Constraints by Lutao Liu, Zhilin Liu, Jun Zhang

“…A nonlinear model predictive control (MPC) is proposed for underactuated surface vessel (USV) with constrained inputs. …”
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PREDICT LEARNERS’ PERFORMANCE USING AN ONTOLOGICAL-BASED MODEL ON AN E-LEARNING PLATFORM by Safa Ridha Albo Abdullah

“…In learning analytics and educational data mining, a prominent challenge is posed by the lack of portability and transferability of predictive models across different courses. A novel ontology-based decision tree model is introduced in this study, which significantly enhances portability by incorporating semantic features. …”
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Thermal Performance of Lightweight Earth: From Prediction to Optimization through Multiscale Modeling by Séverine Rosa Latapie, Vincent Sabathier, Ariane Abou-Chakra

“…Mean-field homogenization techniques, including the Mori-Tanaka as well as double inclusion models, are used to develop predictive tools for thermal behavior, using rigorously selected experimental data. …”
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Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side by Ali Sharida, Abdullah Berkay Bayindir, Sertac Bayhan, Haitham Abu-Rub

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Research on Robust Adaptive Model Predictive Control Based on Vehicle State Uncertainty by Yinping Li, Li Liu

“…To address the performance degradation in model predictive control (MPC) under vehicle state uncertainties caused by external disturbances (e.g., crosswinds and tire cornering stiffness variations) and rigid constraint conflicts, we propose a robust MPC framework with adaptive weight adjustment and dynamic constraint relaxation. …”
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Construction of a disease risk prediction model for postherpetic pruritus by machine learning by Zheng Lin, Yuan Dou, Ru-yi Ju, Ping Lin, Yi Cao

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Risk prediction model for waitlist mortality in patients with left ventricular assist devices by Anjan Tibrewala, MD, MS, Duc Thinh Pham, MD, Mo Hu, MS, Lucia C. Petito, PhD, Jonathan D. Rich, MD, Finn Gustafsson, MD, PhD, Theo M.M.H. de By, MBA, PhD, Kevin Veen, MD, PhD, Donald M. Lloyd-Jones, MD, ScM, Sanjiv J. Shah, MD

“…We sought to derive and validate a risk prediction model for waitlist mortality in LVAD patients. …”
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Rainfall‐Runoff Modeling in Rocky Headwater Catchments for the Prediction of Debris Flow Occurrence by Martino Bernard, Matteo Barbini, Matteo Berti, Mauro Boreggio, Alessandro Simoni, Carlo Gregoretti

“…These findings suggest that a well‐tuned hydrological model can predict the discharge from intense, short rainfall events that typically trigger debris flows, as well as the early stages of these phenomena.…”
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Prediction Model of Interval Grey Numbers with a Real Parameter and Its Application by Bo Zeng, Chuan Li, Xue-Yu Zhou, Xian-Jun Long

“…Grey prediction models have become common methods which are widely employed to solve the problems with “small examples and poor information.” …”
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