Results 31 to 40 of about 3,534,835 (366)
IEEE Access, 2020 Feature extraction is an essential part of automatic speech recognition (ASR) to compress raw speech data and enhance features, where conventional implementation methods based on the digital domain have encountered energy consumption and processing speed
Qin Li +7 more
semanticscholar +1 more source
Applied Sciences, 2021 Non-destructive testing (NDT) is a broad group of testing and analysis techniques used in science and industry to evaluate the properties of a material, structure, or system for characteristic defects and discontinuities without causing damage. Recently,
Yoonjae Chung, Seungju Lee, Wontae Kim
semanticscholar +1 more source
Full reconstruction of simplicial complexes from binary contagion and Ising data
Nature Communications, 2022 Data-driven recovery of topology is challenging for networks beyond pairwise interactions. The authors propose a framework to reconstruct complex networks with higher-order interactions from time series, focusing on networks with 2-simplexes where social
Huan Wang +4 more
doaj +1 more source
Overview of Signal Processing and Machine Learning for Smart Grid Condition Monitoring
Electronics, 2021 Nowadays, the main grid is facing several challenges related to the integration of renewable energy resources, deployment of grid-level energy storage devices, deployment of new usages such as the electric vehicle, massive usage of power electronic ...
E. Elbouchikhi +3 more
semanticscholar +1 more source
Nature Communications, 2022 Designing an efficient platform that enables verbal communication without vocalization remains a challenge. Here, the authors propose a silent speech interface by utilizing a deep learning algorithm combined with strain sensors attached near the subject ...
Taemin Kim +27 more
doaj +1 more source
Coupling of Gain Medium and Extraordinary Optical Transmission for Effective Loss Compensation
IEEE Access, 2018 Gain mediums attract much attention due to their excellent amplification characteristics. However, the potential applications of gain mediums are severely limited because of the requirement of a high external energy to excite the media, thereby ...
Kaikun Niu +5 more
doaj +1 more source
Power spectral density estimation for wireless fluctuation enhanced gas sensor nodes [PDF]
, 2014 Fluctuation enhanced sensing (FES) is a promising method to improve the selectivity and sensitivity of semiconductor and nanotechnology gas sensors.
Gingl, Zoltan +2 more
core +2 more sources
An Energy Scalable Functional Unit for Sensor Signal Processing [PDF]
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007 Low power signal processing functionality is required for wireless sensor network nodes due to their limited battery life. Previously, we have proposed a reconfigurable array of DSP acceleration functional units for such a sensor node. The array maximizes operating life by matching system power consumption to available energy through power scalable ...
Rajeevan Amirtharajah +2 more
openaire +2 more sources
International Journal of Energy Research, 2020 As the contribution of renewable energy grows in electricity markets, the complexity of the energy mix required to meet demand grows, likewise the need for robust simulation techniques.
P. Talbot +7 more
semanticscholar +1 more source
1-D Convolutional Neural Network-Based Models for Cooperative Spectrum Sensing
Future Internet, 2023 Spectrum sensing is an essential function of cognitive radio technology that can enable the reuse of available radio resources by so-called secondary users without creating harmful interference with licensed users.
Omar Serghini +4 more
doaj +1 more source