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17 results for “laplacian”
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Research ArticleOpen accessEvery word in the titleExistence Results for a Class of Nonlinear Hadamard Fractional with p-Laplacian Operator Differential EquationsSamah HorrigueIn this study, we are concerned with the existence and uniqueness of solution for some nonlinear Hadamard fractional differential equations. Our results are based on different classical fixed point theorems. Some useful examples are presented in order to illustrate the validity of our main results. …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 2 Oct 2021 · 6,886 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMultiresolution Laplacian Sparse Coding Technique for Image ClassificationIntidhar Jemel, Ridha Ejbali, Mourad ZaiedSparse coding is a set of techniques used for learning a collection of over-complete bases to represent data efficiently. This technique has been used in different domain such as feature quantization and image classification. Despite its capacity of modeling, it could not represent similarity of the image coding which cause a poor performance in locality. The cause of this limitation … …Journal of Computer Science, Vol. 14, Issue 8 · 23 May 2018 · 7,920 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Generalized Algorithm for the Gravitational Potential of a Homogeneous CuboidThunendran Periyandy, Michael BevisThis paper presents a mathematical formulation for computing the gravitational potential of a cuboid (or right rectangular prism) with uniform density. The resulting analytical expressions are valid inside, on and outside the cuboid. The methodology systematically organizes logarithmic and arctangent terms using a hexagonal graph approach, promoting numerical stability and correct sign allocation. We provide a structured pseudocode algorithm to … …Physics International, Vol. 16, Issue 1 · 28 Nov 2025 · 3,171 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPredicting Microbe-Drug Association based on Similarity and Semi-Supervised LearningLingzhi Zhu, Jun Wang, Guixiang Li et al.Increasing clinic evidences have showed that microbial communities play important roles in human health and disease. Predicting hidden microbe-drug associations can be helpful in understanding the microbe-drug association mechanisms in clinical treatment, drug discovery, combinations and repositioning. Some computational methods were proposed to predict the associations of microbes and drugs. However, the prediction performance of these methods needs to be … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 9 Mar 2021 · 7,535 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEfficient Image Integration Technique: Mismatch of Subjective and Objective AnalysisSetika Mehra, Ayush Dogra, Bhawna Goyal et al.The paper intends to extract features with high visual quality during image fusion. An improved image fusion algorithm is presented, aiming to preserve necessary features and relevant information, simultaneously focusing on highly enhanced visual results. The resultant fused image obtained is superior to other images obtained from other state-of-the-art techniques with respect to visual quality. A novel and improved image … …Journal of Computer Science, Vol. 15, Issue 10 · 19 Oct 2019 · 7,609 accessesView PDFCite
Research ArticleOpen accessIn the keywordsApplication of Morphological Component Analysis to Optical Image FusionGeorges Laussane Loum, Atiampo Kodjo Armand, Pandry Koffi Ghislain, Souleymane OumtanagaThe image fusion technique is widely used in remote sensing. Its purpose is to provide comprehensive information without arte facts by combining the partial information from different source images. In this study, we propose a new model of images fusion with very high spatial resolution. We use the separation capacities of the Morphological Component Analysis (MCA) to extract the smooth … …American Journal of Applied Sciences, Vol. 14, Issue 8 · 11 Aug 2017 · 7,729 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDigital High-Pass Filters with Milder High-Pass Effect on Digital ImagesIssa A. Al-ShakhrahImage filtering consists of modifying the original image by logically "reimaging" it with a mathematical imaging device in which spatial response can be controlled by the user. Image filtering is performed by a mathematical operation called convolution, which is simply the successive replacement of each point in the original image by a new value produced by a weighted combination of … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 3 · 11 Jun 2015 · 7,950 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEdge Detection in Gray Level Images based on the Shannon EntropyBaljit Singh, Amar P. SinghMost of the classical mathematical methods for edge detection based on the derivative of the pixels of the original image are Gradient operators, Laplacian and Laplacian of Gaussian operators. Gradient based edge detection methods, such as Roberts, Sobel and Prewitts, have used two 2-D linear filters to process vertical edges and horizontal edges separately to approximate first-order derivative of pixel … …Journal of Computer Science, Vol. 4, Issue 3 · 31 Mar 2008 · 7,882 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnhancing Kidney Stone Detection Accuracy Using Image Processing and a Hybrid Convolutional Deep Belief NetworkGeetha M. N, Barkathulla A, S. Nandhini Devi et al.Automated CKD is a rapidly expanding non-communicable ailment that significantly contributes to global mortality and morbidity. CKD impacts more than 10% of the worldwide population, leading to millions of deaths annually. This paper proposes an enhanced deep learning model for renal disease detection that integrates convolutional and involution layers to enhance classification accuracy. CKD is a worldwide health issue characterised … …Journal of Computer Science, Vol. 22, Issue 10 · 9 Oct 2026 · 749 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMedical Image Compression Using Fuzzy C-Means Based Contourlet TransformM. Tamilarasi, V. PalanisamyProblem statement: To meet the demand for high speed transmission of image in efficient image storage and remote medical treatment, the efficient image compression is essential. The contourlet transform along with wavelet theory has great potential in medical image compression. Approach: The significant portion of the medical image applied with Fuzzy C-means based contourlet transform. DWT applied to the rest … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 7,082 accessesView PDFCite