The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...

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 ...

Young scientist Murchana Khusroo from Jorhat will lead an ISRO project studying solar wind behavior in the sun's inner ...

A conductive hydrogel transforms its random internal structure into a secure, unclonable signature, addressing the challenge ...

I ntelligence is usually understood as the ability to use reason to solve problems, skillfully wielding knowledge to achieve ...

YouTube episodes, Gameloft mobile game, physical/digital drops, fan co-creation, early revenue, nearly a billion social views ...

Frictional base isolation systems improve earthquake resistance in timber buildings, reducing costs and complexity while ...

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

University of Queensland researchers have created a microscopic "ocean" on a silicon chip to miniaturize the study of wave ...

Discover the risks behind Oxford Lane Capital's high yield. Learn why OXLC's dividends and NAV may be at risk before you ...