The number of scientific papers is growing so rapidly that scientists are no longer able to keep track of all of them, even ...
Algorithms analyze vibration patterns, temperature anomalies and pressure fluctuation locally, triggering alerts before ...
Abstract: Long-term time series forecasting (LTF) aims to predict time series over extended time horizons, offering significant cross-domain advantages and competitive insights. However, there is no ...
Abstract: This paper explores human activity recognition (HAR) using machine learning models to classify activities based on sensor data with high precision. The study leverages the UCI HAR dataset, ...
5d
AI adoption in South Africa will depend on skills, governance and execution and not just technology
AI success in South Africa depends on skills, governance and execution, not just technology, with strong data, ...
The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...
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