A Two-Phase Learning Approach Integrated with Multi-Source Features for Cloud Service QoS Prediction
Newswise — With the growing popularity of service-oriented computing, a large number of functionally similar cloud services have emerged. Quality...
prediction
A fused weighted federated learning-based adaptive approach for early-stage drug prediction
The primary concern of machine vision in assisting physicians and patients is the early-stage prediction of drugs and monitoring to...
A machine learning-based prediction-to-map framework for rapid and accurate spatial flood prediction
Wahl, T., Jain, S., Bender, J., Meyers, S. D. & Luther, M. E. Increasing risk of compound flooding from storm...
Multi-task genomic prediction using gated residual variable selection neural networks | BMC Bioinformatics
This section describes the methodology for genomic prediction and variable selection using the deep learning-based GRVSNN framework. Our approach is...
Integrating deep learning and machine learning for ceramic artifact classification and market value prediction
This study adopts a three-stage pipeline: dataset preparation, ceramic classification, and price prediction, as shown in Fig. 1. The stages...
Comparison of spatial prediction models from Machine Learning of cholangiocarcinoma incidence in Thailand | BMC Public Health
Data collection and study areaThe retrospective cohort analytical study examined 554 sub-districts across four regions of Thailand (northern, central, northeastern,...
