Results 181 to 190 of about 12,987,723 (342)
A review on the long short-term memory model
G. V. Houdt +2 more
semanticscholar +1 more source
A survey on long short-term memory networks for time series prediction
Benjamin Lindemann +4 more
semanticscholar +1 more source
Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai +8 more
wiley +1 more source
Fractional Skyrmion Tubes in Chiral‐Interfaced 3D Magnetic Nanowires
In chiral 3D helical magnetic nanowires, the coupling between the geometric and magnetic chirality provides a way to create topological spin states like vortex tubes. Here, it is demonstrated how the breaking of this coupling in interfaced 3D nanowires of opposite chirality leads to even more complex topological spin states, such as fractional ...
John Fullerton +11 more
wiley +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Long memory and changepoint models: a spectral classification procedure. [PDF]
Norwood B, Killick R.
europepmc +1 more source
Electric control of magnetic tunnel junctions offers a path to drastically reduce the energy requirements of the device. Electric field control of magnetization can be realized in a multitude of ways. These mechanisms can be integrated into existing spintronic devices to further reduce the operational energy.
Will Echtenkamp +7 more
wiley +1 more source
A wavelet lifting approach to long-memory estimation. [PDF]
Knight MI, Nason GP, Nunes MA.
europepmc +1 more source
Long memory in stock market volatility and the volatility-in-mean effect: the FIEGARCH-M model [PDF]
We extend the fractionally integrated exponential GARCH (FIEGARCH) model for daily stock return data with long memory in return volatility of Bollerslev and Mikkelsen (1996) by introducing a possible volatility-in-mean effect.
Bent Jesper Christensen +2 more
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