Results 81 to 90 of about 80,238 (283)
Simplified minimal gated unit variations for recurrent neural networks [PDF]
2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), 2017 5 pages, 3 Figures, 5 ...
Heck, Joel, Salem, Fathi M.
openaire +2 more sources
Arthritis Care &Research, Accepted Article.Objectives Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies. To help patients and providers in the decision‐making process, we developed
Anahita Deboo +19 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A lack of standard approaches for testing and reporting the performance of metal halide perovskites and organic semiconductor radiation detectors has resulted in inconsistent interpretation of performance parameters, impeding progress in the field. This Perspective recommends key metrics and experimental details, which are suggested for reporting in ...
Jessie A. Posar +8 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This work discusses the use of blended channel materials in OECTs. It explores how mixing glycolated and alkoxylated polymers in various ratios offers a simpler and more efficient route to tuning OECT properties. The performance of the polymer blends is compared to the corresponding copolymers, demonstrating similar OECT characteristics, swelling ...
Lize Bynens +14 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Novel ferrocene derivatives (e.g., FcPhc2) are used as an ultrathin layer hole‐blocking layer, reducing hole injection from the Ag contact. This results in an ultralow noise spectral density of 1.2 × 10−14 A Hz−1/2, and a high specific detectivity of 8.1 × 1012 Jones at −0.5 V.
Eunyoung Hong +16 more
wiley +1 more source
Recurrent Neural Network With Gate Recurrent Unit For Stock Price Prediction
Telematika, 2021 Stock price prediction is a solution to reduce the risk of loss from investing in stocks go public. Although stock prices can be analyzed by stock experts, this analysis is analytical bias. Recurrent Neural Network (RNN) is a machine learning algorithm that can predict a time series data, non-linear data and non-stationary.
Afif Ilham Caniago +2 more
openaire +2 more sources
Synchrotron Radiation for Quantum Technology
Advanced Functional Materials, EarlyView.Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader +10 more
wiley +1 more source
On the Memory Properties of Recurrent Neural Models [PDF]
, 2017 In this paper, we investigate the memory properties of two popular gated units: long short term memory (LSTM) and gated recurrent units (GRU), which have been used in recurrent neural networks (RNN) to achieve state-of-the-art performance on several ...
Benetos, E., Garcez, A., Russell, A. J.
core
Advanced Functional Materials, EarlyView.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
Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple Time-scale Recurrent Models
, 2017 The abstraction tasks are challenging for multi- modal sequences as they require a deeper semantic understanding and a novel text generation for the data. Although the recurrent neural networks (RNN) can be used to model the context of the time-sequences,
Cangelosi, Angelo +2 more
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