LAPM: The Location Aware Prediction Model in Human Sensing Systems by Ruiyun Yu, Pengfei Wang, Shiyang Liao

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Establishment of a model for the occurrence and prediction of bayberry decline disease by LUO Jinyan, ZHENG Xiliang, QI Xingjiang, ZHANG Shuwen, YU Zheping, REN Haiying

“…In order to develop the key prevention and control technologies of bayberry decline disease, and grasp the regularity of the disease, one model of disease prediction and forecasting is needed to be established. …”
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Processing and Shelf-Life Prediction Models for Ready-to-Eat Crayfish by Qian Li, Jieyu Lei, Keying Su, Xiaoying Chen, Laihoong Cheng, Chunmin Yang, Shiyi Ou

“…This study investigated the production process of ready-to-eat crayfish, focusing on changes in sensory quality, pH, total volatile base nitrogen (TVB-N), total viable count (TVC), acid value (AV), springiness, and hardness during storage at 4 °C, 25 °C, and 37 °C. A shelf-life prediction model was developed using the Arrhenius model. …”
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Zero-Shot Prediction of Conversational Derailment With Large Language Models by Kenya Nonaka, Mitsuo Yoshida

“…To address this challenge, we focus on the zero-shot performance of large language models (LLMs), which have advanced rapidly in recent years. …”
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A Hybrid LSTM-GRU Model for Stock Price Prediction by Amirfarhad Farhadi, Azadeh Zamanifar, Amir Alipour, Alireza Taheri, Mohammad Asadolahi

“…By combining the capabilities of these two networks along together, we present a model for predicting market fluctuations. Our proposed model was evaluated in a specified test market, achieving a 3% improvement in Mean Squared Error (MSE) over the previous best approaches.…”
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Predictive Modelling of Sea Debris around Maltese Coastal Waters by Mark Dingli, Kristian Guillaumier, Adam Gauci

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Predictive models for concrete strength estimation of existing bridges in Brazil by Matheus Sant’Anna Andrade, Diôgo Silva de Oliveira, Letícia Negris Gardioli, Carol Ferreira Rezende Santos, José Carlos Lopes Ribeiro, José Maria Franco de Carvalho, Kléos Magalhães César Lenz Junior

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Model Predictive Control to Autonomously Approach a Failed Spacecraft by Xun Wang, Zhaokui Wang, Yulin Zhang

“…In this study, a model predictive control (MPC) method is developed for a servicer spacecraft autonomously approaching a tumbling failed spacecraft at an ultraclose range. …”
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Computer Intelligence in Modeling, Prediction, and Analysis of Complex Dynamical Systems by Ivan Zelinka, Ajith Abraham, Otto Rossler, Mohammed Chadli, Rene Lozi

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A mathematical model to predict the requirement for multiple Z plasties by Ellur Sunderraj

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Model interpretability on private-safe oriented student dropout prediction. by Helai Liu, Mao Mao, Xia Li, Jia Gao

“…While existing machine learning and deep learning models can effectively predict dropout risks, they often rely on real student data, raising ethical concerns and the risk of information leakage. …”
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Monthly Runoff Prediction Based on STL-CEEMDAN-LSTM Model by WANG Hai, SHEN Yanqing, QI Shansheng, PAN Hongzhong, HUO Jianzhen, WANG Zhance

“…The results show that the STL-CEEMDAN-LSTM prediction model has a good simulation effect. The Nash Sutcliffe efficiency (NSE), root mean square error (RMSE), and R² in the model prediction period are 0.813, 239.02, and 0.810, respectively, with the prediction accuracy better than the single model and the primary decomposition model. …”
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Cloud-Integrated Meteorological Parameter Prediction by Leveraging Multivariate Statistical Time Series and GANs by Archana Rout, Biswa Ranjan Senapati, Debahuti Mishra

“…Hence, the present work predicts six important meteorological parameters using the vector autoregression model (VAR), vector moving average model (VMA), vector autoregression moving average model (VARMA), and cointegrated vector autoregression model (CVAR). …”
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Modelling chelate-Induced phytoextraction: functional models predicting bioavailability of metals in soil, metal uptake and shoot biomass by Pasqualina Sacco, Fabrizio Mazzetto, Luca Marchiol

“…Contrariwise, the distribution strategy (single vs. split application) seems to produce significant differences both in plant growth and metal uptake, but not in soil metal bioavailability. The proposed models may help to understand and predict the chelate dose – effect relationship with less experimental work.…”
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A comparative analysis of classical machine learning models with quantum-inspired models for predicting world surface temperature by Trilok Nath Pandey, Vishvajeet Ravalekar, Sidharth D. Nair, Sunil Kumar Pradhan

“…As the amount and complexity of time-series data in numerous fields continues to expand, the investigation of advanced computational models becomes critical for efficient analysis and prediction. …”
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Development of a Comprehensive Model for Predicting Stock Prices in the Stock Market Using an Interpretive Structural Modeling Approach by Shiva Rezaeyan, Mohammad Taleghani, Azita Sherejsharifi

“…ObjectiveThis study aims to create a comprehensive stock price prediction model for the Tehran Stock Exchange by employing both fuzzy Delphi and interpretive structural modeling techniques. …”
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Predicting precipitation and NDVI utilization of the multi-level linear mixed-effects model and the CA-markov simulation model by Fatima Belhaj, Hlila Rachid, Ouallali Abdessalam, Aqil Tariq, Belkendil Abdeldjalil, Beroho Mohamed, Hassan Alzahrani, Hajra Mustafa, Hesham Mohamed El-Askary

“…The CA-Markov model was employed to predict the vegetation indices for 2029 and 2040 using 1999, 2009, and 2019 data. …”
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Dynamic Nomogram for Predicting the Fall Risk of Stroke Patients: An Observational Study by Wu Y, Jiang X, Wang D, Xu L, Sun H, Xie B, Tan S, Chai Y, Wang T

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Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults by Li Yao, Qiaoxing Li, Zihan Zhou, Jiajia Yin, Tingrui Wang, Yan Liu, Qinqin Li, Lu Xiao, Dongliang Yang

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Predicting OSA Using Radiographs of the Airway Anatomy by Du M, Gui Y, Guo Y, Liu J, Deng W, Huang J, Liu T, Zhang X, Pang F

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