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39 results for “intensity function”
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Research ArticleOpen accessPhrase in the titleKernel Type Estimator and Statistical Properties for Intensity Function of Periodic Poisson Process with Power Function TrendRo’fah Nur RachmawatiProblem statement: In this study, we construct the estimation for a periodic component of the intensity function of a periodic Poisson process in the presence of power function trend by using the general kernel function. Beside that we also construct the statistical properties of the estimator. Approach: It is considered the worst case where there is only available a single … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 6 Nov 2012 · 7,296 accessesView PDFCite
InvestigationOpen accessEvery word in the titleBackpropagation Vs. Radial Basis Function Neural Model: Rainfall Intensity Classification For Flood Prediction Using Meteorology DataSoo See Chai, Wei Keat Wong, Kok Luong GohRainfall is one of the important weather variables that vary in space and time. High mean daily rainfall (>30 mm) has a high possibility of resulting in flood. Accurate prediction of this variable would save human lives and properties. Soft computing methods have been widely applied in this field. Among the various soft computing methods, Artificial Neural Network (ANN) is … …Journal of Computer Science, Vol. 12, Issue 4 · 15 Apr 2016 · 8,710 accessesView PDFCite
Research ArticleOpen accessIn the abstractChanges in the Composition and Diversity of Pasture Grass Due to the Influence of Grazing in the Steppe Zone of Northern KazakhstanAliya Baitelenova, Balzhan Akhylbekova, Meisam Zargar et al.Overgrazing poses a serious threat to the sustainability of steppe pasturelands in Northern Kazakhstan, where intensifying livestock pressure drives significant changes in vegetation composition, species diversity, and soil fertility. This study investigated the effects of grazing intensity on pasture vegetation and chestnut soil properties in the Zhaksyn district of the Akmola region. Field surveys were conducted in July-August 2024 using … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 31 Mar 2026 · 1,344 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Method for Fast and Robust Intensity Based 2D/3D Registration in Differentiable FrameworkAgung Alfiansyah, Izzati Muhimmah, Arif Sasongko et al.This study introduces an innovative intensity-based registration method designed to align 3D image data volumes, such as Computed Tomography (CT), with 2D data, such as X-ray images, a crucial component of intra-operative navigation in image-guided surgery. Leveraging advanced autodifferentiable reconstruction techniques based on the GPU-accelerated Siddon algorithm, the proposed approach facilitates the generation of differentiable Digitally Reconstructed Radiographs (DRRs), enabling … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 4,825 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of Climate Factors on the Epidemiology and Management of Potato virus YMahabuba Mostafa, Md. Motaher HossainPlant viruses give rise to potential loss to global crop production and have the potential to cause widespread damage. Potato virus Y (PVY) is a plant virus that belongs to the genus Potyvirus and the family Potyviridae and it is considered a major concern, particularly for solanaceous crops such as potatoes. PVY represents the largest cluster of plant viruses, encompassing … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 31 Aug 2024 · 4,764 accessesView PDFCite
Research ArticleOpen accessIn the abstractIncorporation of Modified Region Growing into FCM Clustering for Extraction of Tumors in MR ImagesLovepreet Singh Brar, Jaget Singh, Bhawana Agrawal et al.Due to the tremendous growth of medical Magnetic Resonance (MR) images, it becomes an essential requirement for an automated extraction of diagnostically salient parts of the images to refine the transmission and storage process. Research method: This paper proposes an automated unsupervised machine learning segmentation technique named fuzzy c-means clustering based on modified region growing algorithm (RG-FCM) for the extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,484 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Curcumin and Physical Training on the Brain and Motor Performance of Rats with Cerebral IschemiaKarine Sthéfany Serpa Amaral Dias, Jonas Augusto Ramos, Bruno Mattiello Gomes et al.Brain ischemia is the second most deadly disease in the world and it has already been proven that mild and moderate physical exercises minimize the deleterious effects of this disease on the brain. Curcumin has also been considered a neuroprotective substance. Therefore, the goal of this study was to evaluate the effects of high-resistance training and curcumin on the brain … …Neuroscience International, Vol. 10, Issue 1 · 25 Apr 2019 · 7,771 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoft Sensors for Monitoring Combustion Quality and Flue Gas Emissions in Power Station BoilersNallamilli P G Bhavani, Kesavan Sujatha, Ponmagal RajendranThis research work includes a combination of Fisher’s Linear Discriminant (FLD) analysis by merging Radial Basis Function (RBF) Network and Back Propagation Algorithm (BPA) for monitoring the combustion conditions of a coal fired boiler. The CCD Camera is used to capture the two dimensional flame images. The features such as images, average intensity, area, brightness and orientation etc., of the … …American Journal of Applied Sciences, Vol. 15, Issue 1 · 7 Feb 2018 · 7,556 accessesView PDFCite
Research ArticleOpen accessIn the abstractChronic Lung Disease Identification in Chest CT Scans Through Hybrid Deep Transfer Learning FrameworkGarima Jain, Amit Kumar Goel, Rahul KumarAccurate and timely diagnosis is essential for successful treatment of chronic pulmonary conditions, particularly lung tumours. To capture more complicated pathological characteristics, diagnostic algorithms based on current data sets are restricted to using older databases and single branch systems. This research introduces a new solution: A hybrid deep learning model applied to a recently released quantitative database of CT scans … …Journal of Computer Science, Vol. 22, Issue 8 · 9 Sep 2026 · 657 accessesView PDFCite
Research ArticleOpen accessIn the abstractCarbon Nanodots from Frying Oil as Catalyst for Photocatalytic Degradation of Methylene Blue Assisted Solar Light IrradiationMahardika Prasetya Aji, Pradita Ajeng Wiguna, Siti Aisyah Suciningtyas et al.Carbon nanodots (C-Dots) of frying oil could be a photocatalyst for the degradation of methylene blue solution with assisted solar light irradiation. C-Dots of frying oil were resulted from the heating process at T = 300C for 2 h. C-Dots of frying oil were used as a catalyst in methylene blue solution with variations the number of C-Dots and the … …American Journal of Applied Sciences, Vol. 13, Issue 4 · 28 Apr 2016 · 7,701 accessesView PDFCite