Comparison of spatial prediction models from Machine Learning of cholangiocarcinoma incidence in Thailand by Oraya Sahat, Supot Kamsa-ard, Apiradee Lim, Siriporn Kamsa-ard, Matias Garcia-Constantino, Idongesit Ekerete

Subjects: Get full text

Bitcoin Trend Prediction with Attention-Based Deep Learning Models and Technical Indicators by Ming-Che Lee

“…This study presents a comparative analysis of two advanced attention-based deep learning models—Attention-LSTM and Attention-GRU—for predicting Bitcoin price movements. …”
Get full text

Efficient Air Quality Prediction Models Based on Supervised Machine Learning Techniques by Oumoulylte Mariame, El Allaoui Ahmad, Farhaoui Yousef, Boughrous Ali Ait

“…Our findings suggest that machine learning models can reliably forecast air quality, helping manage pollution and protect public health, with Random Forest showing the best results among the models tested.…”
Get full text

Precision diagnosis of burn injuries using imaging and predictive modeling for clinical applications by Pramod K. B. Rangaiah, B P Pradeep kumar, Fredrik Huss, Robin Augustine

“…This paper proposes a methodology that combines the use of advanced medical imaging with predictive modeling for the improvement of burn injury assessment. …”
Get full text

Pedestrian trajectory prediction model based on self-supervised spatiotemporal graph network by Shiji Yang, Xuezhong Xiao

“…To improve the accuracy of pedestrian trajectory prediction, the graph - based pedestrian trajectory modeling method in the pedestrian trajectory prediction scenario is effective. …”
Get full text

Regression-Based Modeling for Energy Demand Prediction in a Prototype Retail Manipulator by Piotr Kroczek, Krzysztof Lis, Piotr Przystałka

“…The present study proposes two regression-based models for predicting the energy consumption of a four-axis prototype retail manipulator. …”
Get full text

Idiographic Lapse Prediction With State Space Modeling: Algorithm Development and Validation Study by Eric Pulick, John Curtin, Yonatan Mintz

“…Digital sensing and predictive modeling can augment scarce clinician resources to expand and personalize patient care. …”
Get full text

Strong Prediction: Language Model Surprisal Explains Multiple N400 Effects by James A. Michaelov, Megan D. Bardolph, Cyma K. Van Petten, Benjamin K. Bergen, Seana Coulson

Get full text

Model Constrained by Visual Hierarchy Improves Prediction of Neural Responses to Natural Scenes. by Ján Antolík, Sonja B Hofer, James A Bednar, Thomas D Mrsic-Flogel

“…When fit to recordings of a local population of mouse layer 2/3 V1 neurons, our model offers an accurate description of their response to natural images and significant improvement of prediction power over the current state-of-the-art methods. …”
Get full text

A Microscopic Prediction Model for Traffic Noise in Adjacent Regions to Arterial Roads by Ming LI, Jizhou LIU

“…To account for the flow of vehicles on the road, traffic field data, and individual vehicle noise source models are also employed. A field measurement is conducted to validate the proposed method. …”
Get full text

Drought Prediction Model of Pearl River Basin Based on SST and Machine Learning by FENG Xin, LIU Yanju, TONG Hongfu, QIAN Shuni

Get full text

Improving the Predictability of the Madden‐Julian Oscillation at Subseasonal Scales With Gaussian Process Models by Haoyuan Chen, Emil Constantinescu, Vishwas Rao, Cristiana Stan

Subjects: Get full text

On the development of a systemic (biopsychosocial) prediction model for cardiovascular disease. Part II by O. Yu. Shchelkova, M. V. Iakovleva, D. A. Eremina, R. Yu. Shindrikov, N. E. Kruglova, I. A. Gorbunov, E. A. Demchenko

Subjects: Get full text

Continuous Nonlinear Model Predictive Current Control of PWM AC/DC Rectifier by Imad Merzouk, Noureddine Bessous, Mohamed Mounir Rezaoui, Mohamed Elbar, Khansa Bdirina

“…The present work applies a nonlinear model predictive current control (NLMPCC) approach to ac/dc pulse width modulation (PWM) rectifier. …”
Get full text

Deep learning models for hepatitis E incidence prediction leveraging Baidu index by Yanhui Guo, Li Zhang, Shengnan Pang, Xiya Cui, Xuechen Zhao, Yi Feng

“…Baidu index proves to be valuable for predicting hepatitis E incidence. Furthermore, stack layers and KAN can also improve the representational ability of LSTM models.…”
Get full text

Prediction of abnormal bone mass with a pericoronary adipose tissue Attenuation model by Yanbo Liang, Xiaoqing Yuan, Qiang Shi, Hui Yang, Luping Zhao, Minghao Che, Yue Chen, Changqin Li, Qi Yang, Jian Qin

“…Abstract Background The aim is to explore the value of pericoronary adipose tissue (PCAT) attenuation in predicting abnormal bone mass by establishing a prediction model. …”
Get full text

Deep Learning-Based Daily Streamflow Prediction Model for the Hanjiang River Basin by Jianze Huang, Jialang Chen, Haijun Huang, Xitian Cai

“…In this study, we developed a coupled deep learning model for daily streamflow prediction in the Hanjiang River Basin, China. …”
Get full text

An ensemble learning model to predict lymph node metastasis in early gastric cancer by Kaiqing Song, Jiaming Wu, Muchen Xu, Mengying Li, Yuqi Chen, Yi Zhang, Hong Chen, Caifeng Jiang

“…This work aimed to establish a more dependable predictive model for identify lymph node metastasis in early gastric cancer. …”
Get full text

Meteorological and satellite-based data for drought prediction using data-driven model by ALI H. AHMED SULIMAN

“… This work presents a data-driven model, the Artificial Neural Network-Multilayer Perceptron Neural Network (ANN-MLP), for use in meteorological drought deciles index (DDI) predictions over various climatic sub-zone. …”
Get full text

Predictive Analytics by Using Bayesian Model Averaging for Large-Scale Internet of Things by Xinghui Zhu, Fang Kui, Yongheng Wang

“…This method, which is based on a new multilayered adaptive dynamic Bayesian network model, uses Gaussian mixture models and expectation-maximization inference for basic Bayesian prediction. …”
Get full text