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251 results for “intensity”

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Research ArticleOpen accessIn the abstractLocal Features Supported by the Complement Feature for Image SegmentationSalah AmeerAn Eigen formulation is proposed for image thresholding/segmentation. A vector composed of local features, normalized intensity of each pixel and that of the neighboring pixels, is used to represent each pixel. A “complement” component is appended to this vector to produce a “unit” vector. The auto-correlation matrix is computed for each pixel in the image using this unit vector. The … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 7 Jul 2020 · 6,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractCorrelates of Resistance to Gastro-Intestinal Parasites Infection in South African Communal Indigenous Goat PopulationsTakalani Judas Mpofu, Khathutshelo Agree Nephawe, Bohani MtileniThe study was conducted to investigate the correlates of resistance to Gastro-Intestinal Parasites (GIPs) infection in South African communal indigenous goat. A total of 288 goats were randomly sampled for fecal and blood collection. Infection intensity was estimated through determining the fecal egg per gram using a modified McMaster technique. Packed Cell Volume (PCV), Hemoglobin (Hgb) and Mean Corpuscular Hemoglobin … …American Journal of Animal and Veterinary Sciences, Vol. 15, Issue 2 · 1 Jul 2020 · 7,200 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Thresholding Using the Complement FeatureSalah AmeerA new feature (the complement feature) is proposed in an Eigen formulations for performing global image thresholding. The goal is to find an intensity or gray-level value below which is the background while above it is the foreground (object). Each pixel in the image is represented by a (2D) unit vector where the x-component is the normalized (to [0,1] or … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 2 · 8 Jun 2020 · 6,505 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling Winter Hardiness Formation in Winter Wheat PlantsDaria Blyshchyk, Anatoliy Polevoy, Pavel FeoktistovA dynamic model, which describes the growth processes, plant development and the passing of the two phases of the autumn hardening under the influence of agrometeorological conditions in autumn, was developed. The model illustrates effects of intensity of Photosynthetically Active Radiation (PAR), sunlight levels, air temperature and soil moisture on the increment of reserves of photosynthesis products and soluble carbohydrates … …American Journal of Agricultural and Biological Sciences, Vol. 15, Issue 1 · 9 Mar 2020 · 7,207 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign IoT Based Smart Electricity Power Saving University: Analysis from a Lecture HallShanmuganathan Vasanthapriyan, Viduni RandimaManaging and controlling the electricity consumption in a productive manner is a red hot topic in today’s world. Many countries have considered this problem and they have suggested automate systems to overcome this problem. Since, Sri Lankan has not used such kind of automated system to control the electricity power consumption, our system will be a suitable solution for that. … …Journal of Computer Science, Vol. 15, Issue 8 · 8 Aug 2019 · 8,478 accessesView PDFCite
Research ArticleOpen accessIn the abstractTreatment of Chronic Fascioliasis in Cattle with Gelmicidum and FascocidumRinat T. Safiullin, Alexander M. Ustinov, Radmir R. Safiullin et al.Scientific and field trials have shown a high intensity of Fasciola hepatica infection in cattle, the recommended dose of the complex preparation of Gelmicidum 7.5 g for every 100 kg of body weight is once inwardly provided extensity of efficacy of 80%, intensity of efficacy of 83.8%. In this case, it was quite justified to increase the therapeutic dose of … …American Journal of Animal and Veterinary Sciences, Vol. 14, Issue 2 · 24 Jun 2019 · 7,297 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 · 7,765 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Aerobic Exercise on PPAR-γ Expression in Adipose Tissue and RT-PCR Detection AnalysisXiaodong Zhan, Chenguang Bi, Jie WeiThis study aimed to examine the effect of organized aerobic exercise on the expression level of Peroxisome Proliferator-Activated Receptor gamma (PPAR-γ) gene in adipose tissue by performing digital variant of RT-PCR, Droplet Digital PCR (ddPCR) which is a highly sensitive method for counting the gene copy numbers. The proposed scheme consists of three-stage analytical procedure, namely, Subphase I Controlled Aerobic … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 29 Sep 2026 · 580 accessesView PDFCite
Research ArticleOpen accessIn the abstractBrain Tumor Segmentation and Classification Using HardNet Transformer With Gated Recurrent Unit ModelSaida D, Srinivas Adepu, Thade Lakshmi Devi et al.The uncontrolled growth of brain tumor cells presents a severe health risk, making early diagnosis and accurate classification essential for improving treatment outcomes. However, the existing approaches used for segmentation fail to delineate the tumor regions accurately due to a lack of global contextual information of brain tumors, resulting in poor classification performance. To overcome this limitation, this research proposes … …Journal of Computer Science, Vol. 22, Issue 9 · 26 Sep 2026 · 630 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 · 651 accessesView PDFCite