Results 261 to 270 of about 1,734,340 (318)
Pseudo-Sample Generation and Self-Supervised Framework for Infrared Dim and Small Target Detection. [PDF]
Entropy (Basel)Guo J +6 more
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Investigation of the Robustness and Transferability of Adversarial Patches in Multi-View Infrared Target Detection. [PDF]
J ImagingZhou Q +7 more
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DETECTING RESIDUES IN TARGETING PEPTIDES [PDF]
Proceedings of the 3rd Asia-Pacific Bioinformatics Conference, 2005 Knowledge of targeting signals is of immense importance for understanding the cellular processes by which proteins are sorted and transported. This paper presents a system of recurrent neural networks which demonstrate an ability to detect residues belonging to specific targeting peptides with greater accuracy than current feed forward models.
Boden, M. B., Hawkins, J. C.
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Auditory target detection in reverberation
The Journal of the Acoustical Society of America, 2004Measurements and theoretical predictions of auditory target detection in simulated reverberant conditions are reported. The target signals were pulsed 13-octave bands of noise and the masker signal was a continuous wideband noise. Target and masker signals were passed through a software simulation of a reverberant room with a rigid sphere modeling a ...
Zurek, PM, Freyman, RL, Balakrishnan, U
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Adaptive Target Separation Detection
IEEE Transactions on Aerospace and Electronic Systems, 2021This article considers target separation detection (TSD) in the presence of homogeneous Gaussian interference. The problem is formulated as a hypothesis test for two typical situations: 1) the use of a low range-resolution radar or fast-track update rate; 2) the use of a high-resolution radar or low-track update rate. At the design stage, TSD tests are
Yongchan Gao +3 more
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Optical Engineering, 2012
An automatic (or aided) target recognizer (ATR) consists of two essential stages: detection and recognition. This chapter covers detection algorithms for literal imagery and ground targets, which are the most basic cases. There are a large number of other cases that aren’t covered.
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An automatic (or aided) target recognizer (ATR) consists of two essential stages: detection and recognition. This chapter covers detection algorithms for literal imagery and ground targets, which are the most basic cases. There are a large number of other cases that aren’t covered.
openaire +1 more source
Detection of a Distributed Target
IEEE Transactions on Aerospace and Electronic Systems, 1971The influence of increasing range resolution on the detectability of targets with dimensions greater than the resolution cell is studied. An N-cell target model is assumed, which contains k reflecting cells, each reflecting independently according to the same Rayleigh amplitude distribution. It will be referred to as the (N,k) target.
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Target Detection and Identification Performance Using an Automatic Target Detection System
Human Factors: The Journal of the Human Factors and Ergonomics Society, 2016Objective: We investigated the effects of automatic target detection (ATD) on the detection and identification performance of soldiers. Background: Prior studies have shown that highlighting targets can aid their detection. We provided
Adam J. Reiner +2 more
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