Compressive sensing of electroencephalogram: a review

Optimum Lightweight AI End Device for Health Monitoring of Agriculture Vehicles

“…Such a data transfer can be done time by time as the network is more free and less transmission is carried out. Also to have less bulk of data but with same content of information, compressive sensing [50][51][52][53][54][55][56][57][58] can be deployed for transferring the data to DACS. However, there should be an alertness to labeling noise in mining process of completing a partially annotated dataset [59].…”

A Compressive Sensing-Based Approach for Millimeter-Wave Imaging Compatible with Fourier-Based Image Reconstruction Techniques

“…Compressive sensing (CS) is a signal processing technique that offers compression of data below the Nyquist rate [10]. The technique is based on the principle that, by optimization, the sparsity of a signal can be exploited to recover it from much fewer samples than required by the Nyquist-Shannon sampling theory [11].…”

Evolutionary Machine Learning Powered by Genetics Algorithm for IoT-Specific Health Monitoring of Agriculture Vehicles

“…Potentially, optimization can improve the efficiency of the systems in a wide range of industrial applications like compressive sensing [6][7][8][9][10][11][12][13][14], optical instruments [15], power quality [16][17][18], sentiment mining [19], image adaptation [20,21], sentiment mining [19], data mining [22][23][24], power line communications [25], featuring big data [26], location-based service [27], telecommunications [28][29][30][31][32][33], analysis of texture [34], planning power system [35], public transportation systems [36], faulty condition diagnosis in agriculture machinery [37][38][39], interaction of human and robot [40], medical images [34,41,42], study of human motion [43], noise removal [44,45], smart ambient [46], electrocardiogram processing [47][48]…”