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CorrigendumOpen accessIn the abstractCorrigendum: Cocaine Exposure Results in Formation of Dendritic Varicosity in Rat Primary Hippocampal NeuronsHonghong Yao, Crystal Bethel-Brown, Shilpa BuchCorrection to: American Journal of Infectious Diseases http://doi.org/10.3844/ajidsp.2009.26.30, published online 2009; updated 08 February 2021 The authors have recently noticed that the representative image of MAP2 immunostaining in the control group in Figure 3A was incorrectly chosen. This error was inadvertently caused during the assembly of the images due to our negligence in the process of reformatting our manuscript. Original … …American Journal of Infectious Diseases, Vol. 17, Issue 1 · 8 Feb 2021 · 6,419 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnomaly Detection Based on Vision Transformer Model and Texture FeaturesMohammed Lahraichi, Abdelhafid Berroukham, Khalid HousniAnomaly detection is one of the video surveillance applications,which aims to detect and analyze abnormal behaviors and risky situations inorder to prevent accidents. Various deep learning models have beenpreviously developed for this purpose, such as CNN, RNN, and VisionTransformer, each one has its strengths and weaknesses based on the qualityof input data. This paper proposes a novel approach based on … …Journal of Computer Science, Vol. 21, Issue 7 · 10 Jul 2025 · 3,689 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystematic Evaluation of Image-Based NPR Applied to VideoAlberto F.F. de Barros, Jose E.R. de Queiroz, Herman M. GomesIn this article, it was studied the effect of state-of-the-art approaches for Non-Photorealistic Rendering (NPR), originally developed for static images, when applied to videos. Six criteria were objectively evaluated (using a 5-point Likert scales): Simplicity, content preservation, resemblance to the original content, sharpness, temporal coherence and subjective satisfaction. Sixty participants and a dataset of 30 videos of different genres were … …Journal of Computer Science, Vol. 16, Issue 4 · 29 Apr 2020 · 7,280 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Cryptography with Least Squares ApproximationsMustafa K. Ramadhan, Adil AL-RammahiSecurity of digital images has become one of the most important issues in network technologies. Different techniques have been evolved over the past few years to provide security for digital images through concealing information, image scrambling and image encryption. The aim of this work is to enhance the network security level by using the cryptographic method based on the Least … …Journal of Computer Science, Vol. 15, Issue 11 · 20 Nov 2019 · 7,335 accessesView PDFCite
Research ArticleOpen accessIn the abstractHistogram Matching Schemes for Image ThresholdingSalah AmeerThis paper proposes several novel schemes for image thresholding. The idea is simply to compare the original image histogram to that of the thresholded image. Element by element comparison (sum of absolute difference between the two histograms) is found to be of better performance than a single feature (area or size) comparison. The optimum threshold is the one producing the … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 3 · 9 Sep 2019 · 7,877 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Pedestrian Detection Using Context InformationJorge Candido, Mauricio MarengoniDetecting pedestrians among other objects in a digital image is a relevant task in the field of computer vision. This paper presents a method to improve the performance of a pedestrian detection algorithm using context information. A neural network is used to classify the region below pedestrian candidates as being floor or non-floor. We assume that a pedestrian must be … …Journal of Computer Science, Vol. 14, Issue 7 · 6 Aug 2018 · 7,224 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Threshold Based Compressive Sensing Algorithm in Wireless Sensor NetworkParnasree Chakraborty, C. ThariniWireless Sensor Networks (WSN) are comprised of spatially distributed sensor nodes, where each node contains sensors, processors and transceivers for communicating data. Regardless of the application in which the sensor network is serving, the data generated in the network eventually must be delivered to the sink. However the limited network bandwidth, frequent node/link failure along with the unreliable communication medium … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 3 Feb 2017 · 7,512 accessesView PDFCite