The construction and validation of a prediction model of hypertensive disease in pregnancy by Yuanyuan Chen, Jianting Ma

Subjects: Get full text

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

Get full text

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. …”
Get full text

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.…”
Get full text

Predictive Modelling of Sea Debris around Maltese Coastal Waters by Mark Dingli, Kristian Guillaumier, Adam Gauci

Subjects: Get full text

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. …”
Get full text

Computer Intelligence in Modeling, Prediction, and Analysis of Complex Dynamical Systems by Ivan Zelinka, Ajith Abraham, Otto Rossler, Mohammed Chadli, Rene Lozi

Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

Leveraging LLMs for predictive insights in food policy and behavioral interventions by Micha Kaiser, Paul M. Lohmann, Peter Ochieng, Billy Shi, Cass R. Sunstein, Lucia A. Reisch

“…This paper demonstrates that a fine-tuned large language model (LLM) can accurately predict outcome directions in approximately 80% of empirical studies evaluating dietary interventions. …”
Get full text

T-cell receptor binding prediction: A machine learning revolution by Anna Weber, Aurélien Pélissier, María Rodríguez Martínez

Subjects: Get full text

Improving parking availability prediction in smart cities with IoT and ensemble-based model by Stéphane Cédric Koumetio Tekouabou, El Arbi Abdellaoui Alaoui, Walid Cherif, Hassan Silkan

“…We propose in this paper a new system that integrates the IoT and a predictive model based on ensemble methods to optimize the prediction of the availability of parking spaces in smart parking. …”
Get full text

ANN and machine learning based predictions of MRR in AWSJ machining of CFRP composites by K. Ramesha, N. Santhosh, B. A. Praveena, Banakara Nagaraj, N. Channa Keshava Naik, Quadri Noorulhasan Naveed, Ayodele Lasisi, Anteneh Wogasso Wodajo

“…Increasing the jet diameter in underwater conditions stabilized the nozzle, leading to smoother and more precise cuts. Among the predictive models, XGBoost demonstrated the highest accuracy and efficiency in forecasting MRR, while Random Forest and ANN provided competitive performance. …”
Get full text

A Machine Learning‐Based Approach to Quantify ENSO Sources of Predictability by Ioana Colfescu, Hannah Christensen, David John Gagne

Subjects: Get full text

Bayesian Model Prediction for Breast Cancer Survival: A Retrospective Analysis by Islam Bani Mohammad, Muayyad M. Ahmad

Subjects: Get full text

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. …”
Get full text

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. …”
Get full text

Predicting the future impact of climate change on the distribution of species in Egypt’s mediterranean ecosystems by Ahmed R. Mahmoud, Emad A. Farahat, Loutfy M. Hassan, Marwa Waseem A. Halmy

“…—under two GCMs of HadGEM3-GC31-LL and IPSL-CM6A-LR for the periods of 2060s and 2080s and two Shared Socioeconomic Pathway (SSP 1-2.6 and SSP5-8.5), comparing the use of MaxEnt and ensemble modelling techniques in predicting the impact of future climatic changes on these species’ distribution. …”
Get full text

Predicting climate-driven shift of the East Mediterranean endemic Cynara cornigera Lindl by Heba Bedair, Heba Bedair, Yehia Hazzazi, Asmaa Abo Hatab, Marwa Waseem A. Halmy, Mohammed A. Dakhil, Mohammed A. Dakhil, Mubaraka S. Alghariani, Mubaraka S. Alghariani, Mari Sumayli, A. El-Shabasy, Mohamed M. El-Khalafy

“…In fact, it is distributed in 3 fragmented locations in Egypt (Wadi Hashem (5 individuals), Wadi Um Rakham (20 individuals), Burg El-Arab (4 individuals)).MethodsIn this study, we examined C. cornigera’s response to predicted climate change over the next few decades (2020-2040 and 2061-2080) using species distribution models (SDMs). …”
Get full text