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...
Learning methods
Combining RWD And Machine Learning To Determine Meaningful Patient Populations
By Monica Nandagopal, senior analyst, Beroe Inc. Clinical trials play a crucial role in driving medical innovation but frequently encounter...
Machine Learning Enables 96% Accurate Single-Pixel Detection Of Structured Light With Speckle-Learned Recognition
Structured light, with its unique spatial properties, holds immense promise for advancements in communications, precision measurement, and sensing technologies. Purnesh...
Change-point detection with deep learning: A review
Newswise — With the rapid growth of data complexity and volume, traditional statistical methods for change-point detection (CPD) face limitations...
A machine learning approach to identify patients at risk for long-term consequences after pulmonary embolism
Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, AustriaStephan...
Engineering Supply Chain Resilience: Jaymalya Deb on Machine Learning and Forecasting Innovation
Jaymalya (“Jay”) Deb is currently the Division Materials Manager in the Industrial Process Filtration Division at Parker Hannifin, a Fortune...
