Materials scientists can learn a lot about a sample material by shooting lasers at it. With nonlinear optical microscopy—a ...
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 ...
Materials scientists can learn a lot about a sample material by shooting lasers at it. With nonlinear optical microscopy — a ...
Young scientist Murchana Khusroo from Jorhat will lead an ISRO project studying solar wind behavior in the sun's inner ...
GXIG’s deep learning model is trained through a four-step process designed to establish an optimal architecture for analysis ...
YouTube episodes, Gameloft mobile game, physical/digital drops, fan co-creation, early revenue, nearly a billion social views ...
A conductive hydrogel transforms its random internal structure into a secure, unclonable signature, addressing the challenge ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback