Results 51 to 60 of about 11,014,670 (216)
Combination of deep learning with representation learning in X-ray prohibited item detection
Frontiers in Physics, 2023 During X-ray inspection detection, a detector converts the collected X-rays from objects into electrical signals, which are then transmitted to a computer for image processing and analysis.
Jianghao Rao +8 more
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Class Imbalanced Medical Image Classification Based on Semi-Supervised Federated Learning
Applied Sciences, 2023 In recent years, the application of federated learning to medical image classification has received much attention and achieved some results in the study of semi-supervised problems, but there are problems such as the lack of thorough study of labeled ...
Wei Liu, Jiaqing Mo, Furu Zhong
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SIGNAL PROBABILITY, REINFORCEMENT AND SIGNAL DETECTION [PDF]
Journal of the Experimental Analysis of Behavior, 1979 Five pigeons were trained to detect differences in light intensity. Two stimuli, S1 and S2, differing in intensity, were arranged on the center key of a three‐key chamber according to set probabilities. A peck on the center key turned on the two side keys.
D, McCarthy, M, Davison
openaire +2 more sources
A Deep Learning Framework for Signal Detection and Modulation Classification
Italian National Conference on Sensors, 2019 Deep learning (DL) is a powerful technique which has achieved great success in many applications. However, its usage in communication systems has not been well explored.
Xiong Zha +4 more
semanticscholar +1 more source
IEEE Photonics Journal, 2022 When used for object tracking, the discriminative correlation filter (DCF) is effective, but its performance is often burdened by undesirable boundary effects.
Junnan Wang +4 more
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A Review of EEG Signal Features and Their Application in Driver Drowsiness Detection Systems
Italian National Conference on Sensors, 2021 Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that is often approached using neurophysiological signals as the basis for building a reliable system.
Igor Stancin, M. Cifrek, Alan Jović
semanticscholar +1 more source
A Deep Learning Approach for MIMO-NOMA Downlink Signal Detection
Italian National Conference on Sensors, 2019 As a key candidate technique for fifth-generation (5G) mobile communication systems, non-orthogonal multiple access (NOMA) has attracted considerable attention in the field of wireless communication. Successive interference cancellation (SIC) is the main
Chuan Lin, Qing Chang, Xianxu Li
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Sparse Signal Detection With Compressive Measurements via Partial Support Set Estimation [PDF]
IEEE Transactions on Signal and Information Processing over Networks, 2016 In this paper, we consider the problem of sparse signal detection based on partial support set estimation with compressive measurements in a distributed network.
Thakshila Wimalajeewa, P. Varshney
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e-Journal of Nondestructive TestingAcoustic emission (AE) occurring in concrete fracture process is a combination of concrete fracture at local material level and the propagation of induced elastic waves at structural level. Simulation of the fracture-induced AE in concrete needs a model
Yubao Zhou, B. B. Aydin, Yuguang Yang
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Coverage Characteristics Analysis of Heterogeneous Optical Beams based Visible Light Communications
Guangtongxin yanjiu, 2022 Due to the research paradigm of the conventional Visible Light Communications (VLC), researchers usually assume that the optical sources follow the Lambertian spatial radiation characteristics.
Ju-peng DING +4 more
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