Scientific Research Publishing1d
Prediction of After-Sales Behavior in E-Commerce Using Machine Learning Models ()
Prediction of After-Sales Behavior in E-Commerce Using Machine Learning Models. Open Journal of Statistics, 14, 757-774. doi: ...
datacenterfrontier.com1d
Shaping the Future of AI Data Centers via Connectivity and Cabling
Recalling how announcements by Enfabrica and Point2 Technology at SC24 mark a significant milestone in the evolution of AI ...
techxplore5d
Machine learning helps researchers develop perovskite solar cells with near-record efficiency
An international team of scientists has used machine learning to help them develop perovskite solar cells with near-record ...
Boffins trick AI model into giving up its secrets
All it took to make an Google Edge TPU give up model hyperparameters was specific hardware, a novel attack technique … and ...
AlphaGalileo10d
A Novel Salary Prediction System Using Machine Learning Techniques
A salary prediction system using machine learning techniques was developed by Dr. Fadi Sibai, Gulf University of Science & ...
Financial IT12d
Google Cloud and Swift Pioneer Advanced AI and Federated Learning Tech to Help Combat Payments Fraud
Conventional fraud detection methods have a hard time keeping up with increasingly sophisticated criminal tactics. Existing ...
Scientific Research Publishing13d
Prediction of the Price of Advanced Global Stock Markets Using Machine Learning: Comparative Analysis ()
Predictive Accuracy, Investment Decisions, Financial Analysts Share and Cite: Alharbi, M. (2024) Prediction of the Price of ...
news.pantheon.cmu13d
Multimodal Machine Learning Model Increases Accuracy
Researchers in the Department of Mechanical Engineering have developed a novel machine learning model combining graph neural ...
EurekAlert!15d
Pusan National University scientists designed a new model to predict metal wear for safer, lighter cars and planes
In a new breakthrough, researchers from Pusan National University developed a hybrid model that combines machine learning and ...
Frontiers17d
Explainable light-weight deep learning pipeline for improved drought stress identification
Sensor-based imaging data serves as a rich source of information for machine ... transfer learning to differentiate between drought-stressed and healthy plants. Transfer learning enables the model to ...