A vulnerability in the open source deep learning tool Keras could allow attackers to load arbitrary local files or conduct ...
All tasks use Python along with tools like Apache Spark, Apache Kafka, and in-memory processing techniques to demonstrate efficient data handling, streaming, and analytics. Clean and preprocess IoT ...
The Fed is close to ending its $6 trillion balance sheet runoff as liquidity tightens. Powell hinted more interest rate cuts are likely if the labor market keeps weakening. Federal Reserve Chair ...
Abstract: The optimization and generalization of performance of a machine learning model is profoundly influenced by efficient data preprocessing. A machine's learning model does not perform to its ...
This article is part of VentureBeat’s special issue, “The Real Cost of AI: Performance, Efficiency and ROI at Scale.” Read more from this special issue. Presented by AMD The era of the “AI ...
Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...
The electric vehicle load data used in this study was obtained from the open-source repository "ev-load-open-data" on GitHub [1]. After downloading the datasets, you may use data pre-processing Python ...
Abstract: This paper introduces fProcessor, a tool designed for nonintrusive, on-the-fly preprocessing of data being written to files. “Nonintrusive” means that fProcessor requires no modifications to ...