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162 results for “robustness”
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Research ArticleOpen accessEvery word in the titleCompressive Sensing Theory for Improving the Robustness and the Security of the Discrete Wavelet Transform-Singular Value Decomposition Watermarking SchemeRasha Shoitan, Sawsan Morkos GharghoryDigital watermarking has been suggested as a solution to protect copyright and ownership of digital images. The effective watermarking scheme should satisfy imperceptibility, robustness, capacity and security requirements. In this research, the security issue and the lack of reconstruction quality of the watermark logo of the integration of Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD) and Compressive Sensing (CS) … …Journal of Computer Science, Vol. 17, Issue 4 · 28 Apr 2021 · 6,599 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRobustness Results for Hierarchical Diff-EDF Scheduling upon Heterogeneous Real-Time Packet NetworksMoutaz Saleh, Zulaiha Ali OthmanPacket networks are currently enabling the integration of traffic with a wide range of characteristics that extend from video traffic with stringent QoS requirements to the best-effort traffic requiring no guarantees. QoS guarantees can be provided in conventional packet networks by the use of proper packet scheduling algorithms. As a computer revolution, many scheduling algorithms have been proposed to provide … …Journal of Computer Science, Vol. 3, Issue 5 · 31 May 2007 · 6,601 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproving Clustering Robustness through Fuzzy Ensemble of K-Means and Mean ShiftLNC. Prakash K., Palamakula Ramesh Babu, Shaik Thaseentaj et al.Ensemble clustering has emerged as a powerful strategy to improve the robustness and accuracy of unsupervised learning, particularly when individual algorithms struggle with noisy, heterogeneous, or high-dimensional data. This study introduces a fuzzy-based ensemble approach that integrates the complementary strengths of K-Means and Mean Shift clustering, followed by fuzzy membership assignment for data points that remain ambiguous. The inclusion of … …Journal of Computer Science, Vol. 22, Issue 5 · 20 May 2026 · 1,257 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRobustness of XFEM Method for the Simulation of Cracks Propagation in Fracture Mechanics ProblemsAniello Riccio, Umberto Caruso, Antonio Raimondo, Andrea SellittoIn the present paper a numerical sensitivity analysis is presented with the aim to assess the effectiveness of the X-FEM method for fracture mechanics applications. Different test cases have been adopted for the numerical analyses to point out the X-FEM method behavior in 2-D and 3-D elastic and elasto-plastic conditions. Comparisons with a standard ductile damage model have been carried … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 3 · 15 Aug 2016 · 8,287 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing the Robustness of Visual Degradation Based HAM Reversible Data HidingHabiba Sultana, A.H.M. Kamal, Mohammad Mahfuzul IslamPurposely visual degradation of image quality is a newfangled idea in the area of Histogram Association Mapped (HAM) reversible data hiding. Such scheme first divides the color scale, i.e., 0-255, into some partitions by the range, difference of minimum and maximum value of a block. Next, the histogram of a block resided to a partition, original partition, is moved, e.g., … …Journal of Computer Science, Vol. 12, Issue 2 · 26 Mar 2016 · 6,985 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWeed Detection over Between-Row of Sugarcane Fields Using Machine Vision with Shadow Robustness Technique for Variable Rate Herbicide ApplicatorA. Muangkasem, S. Thainimit, R. Keinprasit, T. IsshikiProblem statement: Uniformly herbicide rate is used as a conventional practice in Thailand for controlling weeds in sugarcane fields. Since weeds usually grow in certain areas with non-uniformly distribution, uniform herbicide rate approach is not suitable and non-sustainable agricultural technique both in terms of economic an environmental aspect. To address these issues, Variable Herbicide Rate (VHR) was introduced. The VHR … …Energy Research Journal, Vol. 1, Issue 2 · 31 Oct 2010 · 8,232 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalysis of Robustness for Convex Optimization Applied to Array Antenna Pattern SynthesisRichard Torrealba, David H. Covarrubias, Marco PanduroThis study presents an analysis of the convex optimization applied to the synthesis of the radiation pattern for linear antenna arrays. This study emphasizes the application of the convex optimization for the array pattern synthesis considering the simultaneous elimination of several zones interferences, reduction of the level of power in two space zones densely populated by interferences, as well as … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2008 · 6,566 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAdvancing Digital Forgery Detection: A Comparative Analysis of U-Net, Buster Net, Efficient B0+ U-Net, and VGG 16+ U-Net ModelsPreeti Dhiman, Usha ChauhanForgery Detection in the area of digital images is indispensable for insuring authenticity, particularly in detecting Copy-Move, Splicing. In this research, a meticulous analysis of latest learning architectures i.e. U-Net, Buster Net, Efficient B0+U-Net and VGG16+U-Net are compared for the detecting these types of forgeries. U-Net is popular due to its potent segmentation capabilities to provide pixel-level forgery localization while … …Journal of Computer Science, Vol. 22, Issue 10 · 8 Oct 2026 · 383 accessesView PDFCite
Review ArticleOpen accessIn the keywordsA Systematic Review of Adversarial Attacks: ML Techniques, Classification and CountermeasuresBhavesh Kumar Sharma, Sanatan Ratna, Rajiv KumarMachine Learning (ML) and Deep Learning (DL)-based technologies have made significant strides in areas such as computer vision, natural language processing, and autonomous systems. Yet they have been applied in high-stake applications, and have been found to be fragile through adversarial attacks-, maliciously crafted small distortions that fool models into making mistakes. From the pioneering work by Szegedy et al. … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,497 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDensity Power Downweighting and Robust Inference: Some New StrategiesSaptarshi Roy, Kaustav Chakraborty, Somnath Bhadra, Ayanendranath BasuPreserving the robustness of the procedure has, at the present time, become almost a default requirement for statistical data analysis. Since efficiency at the model and robustness under misspecification of the model are often in conflict, it is important to choose such inference procedures which provide the best compromise between these two concepts. Some minimum Bregman divergence estimators and related … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 8 Dec 2019 · 7,709 accessesView PDFCite