Results 11 to 20 of about 147,000 (286)

Dual Machine Learning Framework for Predicting Long-Term Glycemic Change and Prediabetes Risk in Young Taiwanese Men. [PDF]

Diagnostics (Basel)
Background: Early detection of dysglycemia in young adults is important but underexplored. This study aimed to (1) predict long-term changes in fasting plasma glucose (δ-FPG) and (2) classify future prediabetes using complementary machine learning (ML ...
Yang CC, Wu ST, Chu TW, Liu CH, Chuang YJ.   +4 more
europepmc   +2 more sources

An end-to-end pipeline for automated scoliosis diagnosis with standardized clinical reporting using SNOMED CT

Scientific Reports
Recent advancements in automated scoliosis diagnosis using X-ray imaging have focused on detecting spinal curvature through angle measurements, but they often lack systematically standardized clinical terminology schemes. To address these limitations, we
Abdullah Shahid, Jeonghoon Kim, Shi Sub Byon, SungHyuk Hong, Inyong Lee, Byoung-Dai Lee   +5 more
doaj   +2 more sources

Learning-Driven Intelligent Passivity Control Using Nonlinear State Observers for Induction Motors

Automation
This paper proposes a learning-driven passivity-based control (PBC) strategy for sensorless induction motors, combining a nonlinear adaptive observer with recurrent neural networks (RNNs) to improve robustness and estimation accuracy under dynamic ...
Belkacem Bekhiti, Kamel Hariche, Mohamed Roudane, Aleksey Kabanov, Vadim Kramar   +4 more
doaj   +2 more sources

A Hybrid Neural Network Model for Short-Term Wind Speed Forecasting

Energies, 2023
This study proposes an effective wind speed forecasting model combining a data processing strategy, neural network predictor, and parameter optimization method.
Shengxiang Lv, Lin Wang, Sirui Wang
doaj   +1 more source

A Prediction Method of Seedling Transplanting Time with DCNN-LSTM Based on the Attention Mechanism

Agronomy, 2022
To improve the production efficiency and reduce the labor cost of seedling operations, cabbage was selected as the research subject, and a novel approach based on the attention mechanism combining the deep convolutional neural network (DCNN) and long ...
Huaji Zhu, Chang Liu, Huarui Wu
doaj   +1 more source

A Modified CRITIC Method to Estimate the Objective Weights of Decision Criteria

Symmetry, 2021
In this study, we developed a modified version of the CRiteria Importance Through Inter-criteria Correlation (CRITIC) method, namely the Distance Correlation-based CRITIC (D-CRITIC) method.
A. Krishnan, M. M. Kasim, Rizal Hamid, M. F. Ghazali   +3 more
semanticscholar   +1 more source

A Large-Scale Wireless Cell Long-Term Daily-Granularity Forecasting Method

IEEE Access, 2022
Optimizing and managing wireless communication network, including improving the utilization of network resources, energy efficiency, automatically carrying out wireless network planning and network construction, is very important to the communication ...
Wei Fang, Yun Chen, Ning Pan, Bin Ran
doaj   +1 more source

India VIX and Forecasting Ability of Symmetric and Asymmetric GARCH Models

, 2021
JEL Classification: G1, G17, G130, C580. Volatility forecasting plays an important role in decisions concerning risk assessment, asset valuation and monetary policy formulation.
Maithili S. Naik, Y. V. Reddy
semanticscholar   +1 more source

A Comparison of the Performance of Different Interpolation Methods in Replicating Rainfall Magnitudes under Different Climatic Conditions in Chongqing Province (China)

Atmosphere, 2021
Precipitation is considered a crucial component in the hydrological cycle and changes in its spatial pattern directly influence the water resources.
Ruting Yang, Bing Xing
doaj   +1 more source

Vertical wind speed extrapolation using statistical approaches [PDF]

FME Transactions
The wind power industry has experienced a significant increase and popularity in recent times, and the latest statistics indicate that this sector is still thriving.
Nuha Hilal H., Balghonaim Adil, Pahlevi Rizka Reza, Rehman S., Mohandes M.   +4 more
doaj   +1 more source