Results 51 to 60 of about 1,271,121 (191)

Investigation of Noise Immunity Telecommunication Systems According to the Criterion Energy Efficiency

Transport and Telecommunication, 2023
Methods for improving the characteristics of the reliability message transmission in multiservice telecommunication networks in the provision of multimedia services are analyzed.
Ibrahimov Bayram
doaj   +1 more source

A binaural grouping model for predicting speech intelligibility in multitalker environments [PDF]

, 2018
Spatially separating speech maskers from target speech often leads to a large intelligibility improvement. Modeling this phenomenon has long been of interest to binaural-hearing researchers for uncovering brain mechanisms and for improving signal ...
Colburn, H. Steven, Mi, Jing
core   +1 more source

Classification of Motor Imagery Based on Multi-Scale Feature Extraction and the Channel-Temporal Attention Module

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Motor imagery (MI) is a popular paradigm for controlling electroencephalogram (EEG) based Brain-Computer Interface (BCI) systems. Many methods have been developed to attempt to accurately classify MI-related EEG activity.
Runze Wu, Jing Jin, Ian Daly, Xingyu Wang, Andrzej Cichocki   +4 more
doaj   +1 more source

Increased colonic propionate reduces anticipatory reward responses in the human striatum to high-energy foods [PDF]

, 2016
Background: Short-chain fatty acids (SCFAs), metabolites produced through the microbial fermentation of nondigestible dietary components, have key roles in energy homeostasis.
Alhabeeb, Habeeb, Busza, Albert, Byrne, Claire S., Chambers, Edward S., Chhina, Navpreet, Fitzpatrick, Julie, Fountana, Sofia, Frost, Gary S., Garcia-Perez, Isabel, Goldstone, Anthony P., Holmes, Elaine, Irani, Cherag, Morrison, Douglas J., Preston, Tom, Tedford, Catriona   +14 more
core   +1 more source

Predicting weather-related power outages in large scale distribution grids with deep learning ensembles

International Journal of Electrical Power & Energy Systems
Weather events are primarily contributors to electrical supply disruptions, prompting the need to accurately forecast these weather-related power outages.
L. Prieto-Godino, C. Peláez-Rodríguez, J. Pérez-Aracil, J. Pastor-Soriano, S. Salcedo-Sanz   +4 more
doaj   +1 more source

Integrated Memristor Network for Physiological Signal Processing

Advanced Electronic Materials, 2023
Humans are complex organisms made by millions of physiological systems. Therefore, physiological activities can represent physical or mental states of the human body. Physiological signal processing is essential in monitoring human physiological features.
Lei Cai, Lianfeng Yu, Wenshuo Yue, Yihang Zhu, Zhiyu Yang, Yuqi Li, Yaoyu Tao, Yuchao Yang   +7 more
doaj   +1 more source

XBioSiP: A Methodology for Approximate Bio-Signal Processing at the Edge

, 2019
Bio-signals exhibit high redundancy, and the algorithms for their processing are inherently error resilient. This property can be leveraged to improve the energy-efficiency of IoT-Edge (wearables) through the emerging trend of approximate computing. This
Prabakaran, Bharath Srinivas, Rehman, Semeen, Shafique, Muhammad   +2 more
core   +1 more source

Roundness and positioning deviation prediction in single point incremental forming using deep learning approaches

Advances in Mechanical Engineering, 2019
This article proposes a deep learning technique for the prevision of the geometric accuracy in single point incremental forming. Moreover, predicting geometric accuracy is one of the most crucial measures of part quality.
Sofien Akrichi, Amira Abbassi, Sabeur Abid, Noureddine Ben yahia   +3 more
doaj   +1 more source

Method of Range Ambiguity Suppression Combining Sparse Reconstruction and Matched Filtering

Leida xuebao, 2022
To a certain extent, SAR images are affected by range ambiguity due to antenna sidelobe characteristics and pulse operating system. The work of range ambiguity suppression focuses on SAR system design and signal processing.
Meng QI, Lijia HUANG, Xiaolan QIU, Wenyi ZHANG, Yuxin HU, Qingwei CHU   +5 more
doaj   +1 more source

Fault Detection of Gearbox from Inverter Signals Using Advanced Signal Processing Techniques [PDF]

, 2012
The gear faults are time-localized transient events so time-frequency analysis techniques (such as the Short-Time Fourier Transform, Wavelet Transform, motor current signature analysis) are widely used to deal with non-stationary and nonlinear signals ...
Ball, Andrew, Gu, Fengshou, Lane, Mark, Pislaru, Crinela   +3 more
core   +1 more source