A forecasting-driven framework integrates ARIMA, LSTM, and ensemble learning to optimize cloud resource scheduling. By predicting CPU, memory, and network demands in real time, it enhances utilization ...
The paper concludes that Precision and Recall must be the minimum reporting standard, and confusion matrices should always ...
Ask a Data Scientist.” Once a week you’ll see reader submitted questions of varying levels of technical detail answered by a practicing data scientist – sometimes by me and other times by an Intel ...
Zehong Wang, Xiaolong Han, Yanru Chen, Xiaotong Ye, Keli Hu, Donghua Yu (2022) Prediction of willingness to pay for airline seat selection based on improved ensemble learning Airlines have launched ...
Discover the best AI tools for weather forecasting that help businesses improve prediction accuracy, optimize operations, and ...
On a day marked with regalia, wonder and promise, Marie Hardin, PhD, was inaugurated as Quinnipiac’s 10th president Thursday ...
KillChainGraph predicts attack sequences using machine learning. Rather than just flagging individual suspicious events, it ...
Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...
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VFF-Net algorithm provides promising alternative to backpropagation for AI training
Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
Tech Xplore on MSN
One-shot federated learning AI technique combines privacy protection and efficiency
A research team has developed a new one-shot federated learning artificial intelligence (AI) technique that enables efficient ...
AIOps isn’t just a buzzword — it helps teams predict issues before they happen and fix them automatically with smart, ...
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