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24 results for “Mean Intensity”
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Research ArticleOpen accessEvery word in the titleMammogram Analysis Based on Pixel Intensity Mean FeaturesR. Nithya, B. SanthiProblem statement: In the recent years, Computer Aided Diagnosis (CAD) can be very useful for detection of breast cancer. Mammography can be used as an efficient tool for breast cancer diagnosis. A computer based diagnosis and classification system can reduce unnecessary biopsy. Approach: This study investigates a new approach to the classification of mammogram images based on pixel intensity mean … …Journal of Computer Science, Vol. 8, Issue 3 · 7 Jan 2012 · 7,666 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAutomatic Identification of Molecules in a Thin-Film Extract Combined with LaserTheodore Guié Toa Bi, Sié Ouattara, Alain ClementThis paper presents the automation of the thin-layer chromatography technique whose separation and identification of molecules present in a mixture are currently done manually and laboriously. We have therefore found an interest in automating this technique. In this part, the method implemented comprises 2 steps. First we proceeded to the segmentation of the spots obtained on the chromatographic plate. We … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 4 · 14 Nov 2018 · 7,089 accessesView PDFCite
Research ArticleOpen accessIn the abstractManipulating Light Duration and Intensity Using LEDs to Enhance Off-Season Yield of Hylocereus polyrhizus in a Tropical Area of Banyuwangi, East Java, IndonesiaKanthi Pangestuning Prapti, Setyono Yudo Tyasmoro et al.This study aimed to examine the effect of light duration and Light Emitting Diode (LED) power on the production of red dragon fruit during the off-season. The experiment was conducted in Bulurejo, Banyuwangi, East Java, Indonesia, from March to June 2024 using a split-plot design. The main plot consisted of LED illumination duration (2, 4, and 6 hours), while the … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 3 Aug 2026 · 962 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
Research ArticleOpen accessIn the abstractRadiation Triggered Phenotypic Changes of Regulatory T CellsLantao Liu, Yan Peng, Deqin Zhang, Dongsheng NiuIonizing radiation disrupts the immune balance easily. Regulatory T (Treg) cells directly affect the immune balance after radiation exposure. Meanwhile, the present study is to investigate the survival ability and phenotypic changes of Treg cells induced by 60Co γ-rays in order to expand the understanding on how Treg cells modulated by radiation. Mice lymphocytes were isolated from thymus and spleen … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 1 · 20 Mar 2022 · 5,828 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 abstractMultipatch-GLCM for Texture Feature Extraction on Classification of the Colon Histopathology Images using Deep Neural Network with GPU AccelerationToto Haryanto, Adib Pratama, Heru Suhartanto et al.Cancer is one of the leading causes of death in the world. It is the main reason why research in this field becomes challenging. Not only for the pathologist but also from the view of a computer scientist. Hematoxylin and Eosin (H&E) images are the most common modalities used by the pathologist for cancer detection. The status of cancer with … …Journal of Computer Science, Vol. 16, Issue 3 · 5 Mar 2020 · 9,215 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigating Commuting Time in a Metropolitan Statistical Area Using Spatial Autocorrelation AnalysisS. Hessam Miri, S. Behnam MiriCommuting is an unavoidable issue as living and working are two spatially separated activities for most people. The most influence of commuting is on land uses and transportation systems and ultimately it poses its consequences to the society. Research on urban commuting is one of the most favorable approaches to lessening the impact and intensity of land use and transportation … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 1 · 11 Jan 2020 · 7,421 accessesView PDFCite
Research ArticleOpen accessIn the abstractDistribution Pattern of Human Urinary Schistosomiasis in Kwara State, NigeriaSunday Ojo Joseph, Babamale Olarewaju Abdulkareem, Ugbomoiko Uade SamuelHuman urinary schistosomiasis is a severe parasitic infectious disease in many rural communities in tropical Africa. The status of infection in Kwara State is inadequately documented. We, therefore, investigated distribution pattern of infection amongst school-aged children in the three Senatorial Districts of the state. Of 3757 urine samples examined, 670 (17.8%) were infected with 8.9% in Central, 13.5% in South … …American Journal of Infectious Diseases, Vol. 13, Issue 4 · 1 Feb 2018 · 7,659 accessesView PDFCite
InvestigationOpen accessIn the abstractBackpropagation 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 · 8,705 accessesView PDFCite