Results 1 to 10 of about 277,582 (165)
An adaptive threshold in mammalian neocortical evolution. [PDF]
PLoS Biology, 2014 Expansion of the neocortex is a hallmark of human evolution. However, determining which adaptive mechanisms facilitated its expansion remains an open question.
Eric Lewitus +4 more
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Active and resting motor threshold are efficiently obtained with adaptive threshold hunting. [PDF]
PLoS ONE, 2017 Transcranial magnetic studies typically rely on measures of active and resting motor threshold (i.e. AMT, RMT). Previous work has demonstrated that adaptive threshold hunting approaches are efficient for estimating RMT.
Christelle B Ah Sen +5 more
doaj +2 more sources
Displacement Monitoring of a Bridge Based on BDS Measurement by CEEMDAN–Adaptive Threshold Wavelet Method [PDF]
Sensors, 2023 Chunlan Mo, Huanyu Yang, Guanjun Wang
exaly +2 more sources
Adaptive Threshold Hierarchical Incremental Learning Method
IEEE Access, 2023 Traditional deep convolutional neural networks have achieved excellent performance on various machine learning tasks. Still, they perform poorly in continuous data stream environments, where models trained on new datasets often suffer from a significant ...
Xingyu Li +4 more
doaj +1 more source
Comparative Analysis Between Different Lung Segmentation Techniques [PDF]
ITM Web of Conferences, 2023 For the purpose of identifying various lung illnesses, computed tomography (CT) pictures of the lung must be segmented. The most significant aspect of medical imaging is image segmentation.
Bhosle Sanket +5 more
doaj +1 more source
Adaptive Threshold-Based Tumor Detection Algorithm For Mammograms Images
Eurasian Journal of Science and Engineering, 2023 Breast cancer is without doubt the leading cancer among women, and it is one of the most damaging illnesses to females that should be periodically checked. Early detection of breast cancer can reduce the mortality caused by this disease by 95%.
Taha Basheer Taha
doaj +1 more source
Energies, 2022 Noise significantly reduces the detection accuracy of transient power quality disturbances. It is critical to denoise the disturbance. The purpose of this research is to present an improved wavelet threshold denoising method and an adaptive parameter ...
Hui Hwang Goh +7 more
doaj +1 more source
Convolved Feature Vector Based Adaptive Fuzzy Filter for Image De-Noising
Applied Sciences, 2023 In this paper, a convolved feature vector based adaptive fuzzy filter is proposed for impulse noise removal. The proposed filter follows traditional approach, i.e., detection of noisy pixels based on certain criteria followed by filtering process. In the
Muhammad Habib +6 more
doaj +1 more source
Adaptive thresholding by variational method [PDF]
IEEE Transactions on Image Processing, 1998 When using thresholding method to segment an image, a fixed threshold is not suitable if the background is uneven. Here, we propose a new adaptive thresholding method using variational theory. The method requires only one parameter to be selected and the adaptive threshold surface can be found automatically from the original image.
Chan, FHY, Lam, FK, Zhu, H
openaire +4 more sources
Single-Stage Adaptive Multi-Scale Point Cloud Noise Filtering Algorithm Based on Feature Information
Remote Sensing, 2022 This paper proposes a single-stage adaptive multi-scale noise filtering algorithm for point clouds, based on feature information, which aims to mitigate the fact that the current laser point cloud noise filtering algorithm has difficulty quickly ...
Zhen Zheng +5 more
doaj +1 more source