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77 results for “Reconstruction”
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Research ArticleOpen accessIn the keywordsCharacterization of Reconstructed Basins Using Pattern Spectrum ProcedureP. RadhakrishnanSeveral classical and Fractal binary shapes, which are akin to geophysical shapes such as basins, lakes, and pore-grain spruce, are analyzed and characterized by employing various mathematical morphological transformations, and methods. By employing rhombus, square and octagon structuring elements, these shapes are decomposed into their skeletal networks and their corresponding skeletal network subsets are dilated to the respective degree by … …American Journal of Applied Sciences, Vol. 2, Issue 4 · 30 Apr 2005 · 6,932 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImage Analysis with Legendre Moment DescriptorsAmy Chiang, Simon LiaoIn this research, a numerical integration method is proposed to improve the computational accuracy of Legendre moments. To clarify the improved computation scheme, image reconstructions from higher order of Legendre moments, up to 240, are conducted. With the more accurately generated moments, the distributions of image information in a finite set of Legendre moments are investigated. We have concluded that … …Journal of Computer Science, Vol. 11, Issue 1 · 15 Sep 2014 · 7,360 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAnalysis of Tree-Ring Chronologies in Coniferous Forests of Southeastern KazakhstanAinur Utebekova, Bagila Maisupova, Bulkair Mambetov et al.The aim of the present research was to study the spatial and temporal patterns in the growth response of spruce to climate change at different altitudes (upper, middle and lower) of mountainous terrain in Southern Kazakhstan. The analysis of the climatic response of the generalized chronologies was carried out by calculating the correlation coefficients (Rs) between the growth indices and … …OnLine Journal of Biological Sciences, Vol. 21, Issue 1 · 5 Feb 2021 · 6,641 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRotation Center Fitting based on Rotation Hybrid Calibration MethodYi Guo, Doudou Lei, Yu Liu, Baolong LiuLine laser rotation scanning can obtain accurate full contour information of the object with non-destructive testing. The key point in this process is the calibration rotation center. The calibration of the rotation center is mainly obtained through the characteristics of circles. Existing calibration schemes lead to a holed or over-gathered result. In order to solve this problem, this paper proposes … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 3 · 10 Sep 2020 · 6,342 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAutomatic Counting for Live and Dead Cells from Trypan Blue-Stained Images by Image Analysis Based on Adaptive K-Means ClusteringSu Mon Aung, Kanyanatt Kanokwiroon, Tonghathai Phairatana, Surapong ChatpunComputer-assisted image analysis can be employed to reduce the time consumed in the routine task such as cell counting. This study aimed to establish a method to perform this routine task based on an image analysis to automatically count live and dead cells after staining with trypan blue dye. Gray scale conversion and morphological operation were applied to the input … …Journal of Computer Science, Vol. 15, Issue 2 · 1 Mar 2019 · 8,566 accessesView PDFCite
Research ArticleOpen accessIn the keywordsObject Based Video Analysis, Interpretation and TrackingA. Umamakeswari, A RajaramanThe role of computers in different facets of human life is increasing everyday, from one of supplementing his needs to one of integrating in the different activities, he is involved. This has become more predominant with the prolific developments in communication and internet. This brings in a need to raise the level of computers to the level of human beings … …Journal of Computer Science, Vol. 3, Issue 10 · 31 Oct 2007 · 6,680 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutoencoder-Based Intrusion Detection for ARP Poisoning in SDN ControllersKago Seemela, Banyatsang Mphago, Thabo Semong, Phephisa MethulaAddress Resolution Protocol (ARP) poisoning is still a critical control plane attack in Software Defined Networks (SDNs), and spoofing of ARP mappings can trick SDNs controller and accomplish man in the middle, eavesdropping and denial of service attacks. Current SDN intrusion detection systems of ARP attacks rely on supervised learning and labelled attack data which is rather expensive and not … …Journal of Computer Science, Vol. 22, Issue 7 · 21 Jul 2026 · 869 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplying Dempster Shafer Theory and Causal Inference in Investigating Internet of Things Digital Forensic ChallengeMohamed El-Dosuky, Sherif K. Ratib et al.The rapid growth of IoT ecosystems has transformed digital forensics, creating challenges in analyzing distributed, heterogeneous, and uncertain evidence. Conventional forensic methods often struggle to handle ambiguous and conflicting IoT data, highlighting the need for robust frameworks that effectively manage uncertainty across multiple evidence sources. This research presents a hybrid forensic framework that integrates Dempster Shafer Theory (DST) for probabilistic … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 888 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Adaptive Detail Preserving Modified Progressive Pca Thresholding Based Image DenoisingN. Anilkumar, S. Radhakrishnan, Shaik Syed Basha et al.Radiologists use medical imaging tools to assess the anatomy and function of interior organs. However, medical images are frequently distorted by various types of noise generated during the capture, transmission, and reconstruction operations, which can dramatically reduce image quality and hide critical diagnostic features. As a result, developing effective denoising algorithms that suppress noise while maintaining structural information remains a … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 529 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Non-Technical Electricity Loss Detection Using Artificial Neural Networks: Case of Cameroon Distribution NetworkLekini Nkodo Claude Bernard, Bell Serge Samuel, Nyemb Nsoga Valjacques et al.Non-Technical Losses (NTL) represent a critical challenge for power utilities, particularly in developing countries. This paper proposes an unsupervised deep learning approach based on an autoencoder to detect abnormal electricity consumption patterns in the Cameroonian distribution network. The model learns normal customer behavior using historical consumption data and identifies anomalies through reconstruction error analysis. Statistical thresholds are applied to classify … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 23 Jul 2026 · 1,225 accessesView PDFCite