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10 results for “adaptive refinement”
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Research ArticleOpen accessIn the keywordsFinite Element Analysis of the Crack Propagation for Solid MaterialsMiloud Souiyah, A. Muchtar, Abdulnaser Alshoaibi, A. K. AriffinProblem statement: The use of fracture mechanics techniques in the assessment of performance and reliability of structure is on increase and the prediction of crack propagation in structure play important part. The finite element method is widely used for the evaluation of SIF for various types of crack configurations. Source code program of two-dimensional finite element model had been developed, … …American Journal of Applied Sciences, Vol. 6, Issue 7 · 31 Jul 2009 · 7,842 accessesView PDFCite
Research ArticleOpen accessIn the abstractModified U-Net With VGG11-BN Encoder and Frost Filter Based Pre-Processing for Copy Move Forgery LocalizationAshutosh Pandey, Niranjan Lal, Ashish Kumar ChakravertiCopy-move forgery is a widely used forgery method in digital image forensics, which involves copying and pasting a part of an image into another part of the image to hide or duplicate the visual information. This makes it difficult to detect such manipulations, particularly when the regions are subjected to geometric and photometric transformations. A Frost Filter-Enhanced Encoder-Decoder U-Net is … …Journal of Computer Science, Vol. 22, Issue 10 · 6 Oct 2026 · 457 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-FOM: A Unified Multimodal Deep Learning Framework for Intelligent Pre-Harvest Papaya Classification and Crop ValorisationSovers Singh Bisht, Sanjeev Thakur, Sanjeev PanwarIntelligent pre-harvest crop assessment has become an essential component of precision agriculture, where accurate crop quality evaluation enables informed decision-making and sustainable crop management. However, existing multimodal frameworks often exhibit limited data diversity and insufficient cross-modal semantic interaction, reducing the reliability of intelligent crop valorisation. Address these limitations, this paper proposes a Multimodal Focal-Mamba Optimized Valorisation Model (Multi-FOM), a unified … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 670 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Detailed Preserving Medical Image Denoising Using Cluster-Wise PCA Thresholding and Iterative Mean FilteringMohit Sharma, Ayush Dogra, Anita Gupta et al.Image denoising is a vital process in medical imaging that involves removing noise or distortions introduced during image acquisition. Random noise can degrade image quality and reduce contrast, making accurate analysis more challenging. This paper presents a detail-preserving medical image denoising framework based on a hybrid methodology that combines cluster-wise Principal Component Analysis (PCA) thresholding with Iterative Mean Filtering (IMF). … …Journal of Computer Science, Vol. 22, Issue 4 · 18 Apr 2026 · 1,787 accessesView PDFCite
Review ArticleOpen accessIn the abstractDDoS Mitigation Using Machine Learning in Software-Defined NetworksAhmed Gaber Abu Abd-Allah, Noureldin Omar Mohamed, Mohamed Samir Mohamed et al.With the escalating frequency and sophistication of Distributed Denial of Service (DDoS) attacks, the realm of cyber security has witnessed a paradigm shift towards innovative solutions. This review explores the potential of machine learning as a powerful defense mechanism in the field of DDoS mitigation within Software-Defined Networks (SDNs). The study methodically examines a variety of machine learning algorithms used … …Journal of Computer Science, Vol. 21, Issue 4 · 23 Mar 2025 · 6,774 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Ant-Based Clustering Algorithm with Cluster Analysis TechniquesWafa’a Omar, Amr Badr, Abd El-Fattah HegazyCluster analysis is a data mining technology designed to derive a good understanding of data to solve clustering problems by extracting useful information from a large volume of mixed data elements. Recently, researchers have aimed to derive clustering algorithms from nature’s swarm behaviors. Ant-based clustering is an approach inspired by the natural clustering and sorting behavior of ant colonies. In … …Journal of Computer Science, Vol. 9, Issue 6 · 7 Jun 2013 · 7,306 accessesView PDFCite
Research ArticleOpen accessIn the abstractEdge Sensing Demosaicing Using Adaptive Weighted InterpolationDev R. Newlin, Elwin Chandra MonieDemosaicing is a process of obtaining a full color image by interpolating the missing colors of an image captured from a digital still and video cameras that use a single-sensor array. The edges are not handled properly in the existing demosaicking methods. This study provides an effective demosaicing algorithm applying an adaptive weighted-edge interpolation to handle green pixels. Due to … …American Journal of Applied Sciences, Vol. 10, Issue 4 · 29 Apr 2013 · 6,960 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Theory of the Mind as a Complex SystemCraig P. Speelman, Kim Kirsner, Stephan HalloyFive principles of skill acquisition are presented based on a review of research on human learning and expertise. Essentially these principles state that practice leads to faster and more efficient uses of knowledge. This enables faster performance and results in less demand on mental resources. In turn these outcomes enable higher level behaviours to be attempted. Ultimately skills are developed … …Current Research in Psychology, Vol. 3, Issue 1 · 9 Jul 2012 · 9,149 accessesView PDFCite
Research ArticleOpen accessIn the abstractIterative Process to Improve Simple Adaptive Subdivision Surfaces Method for Triangular MeshesNoor Asma Husain, Mohd Shafry Mohd Rahim, Abdullah BadeProblem statement: Subdivision surfaces were applied to the entire meshes in order to produce smooth surfaces refinement from coarse mesh. Several schemes had been introduced in this area to provide a set of rules to converge smooth surfaces. However, to compute and render all the vertices are really inconvenient in terms of memory consumption and runtime during the subdivision process. … …Journal of Computer Science, Vol. 7, Issue 7 · 30 Jun 2011 · 6,926 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Speech Recognition Using Fusion Techniques and Adaptive FilteringS. A.R. Al-Haddad, S. A. Samad, A. Hussain et al.The study proposes an algorithm for noise cancellation by using recursive least square (RLS) and pattern recognition by using fusion method of Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). Speech signals are often corrupted with background noise and the changes in signal characteristics could be fast. These issues are especially important for robust speech recognition. Robustness is a … …American Journal of Applied Sciences, Vol. 6, Issue 2 · 28 Feb 2009 · 7,993 accessesView PDFCite