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309 results for “z-scan”
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Research ArticleOpen accessEvery word in the titleConnected Component Labeling Using Components Neighbors-Scan Labeling ApproachAkmal Rakhmadi, Nur Zuraifah Syazrah Othman, Abdullah Bade et al.Problem statement: Many approaches have been proposed in previous such as the classic sequential connected components labeling algorithm which is relies on two subsequent raster-scans of a binary image. This method produced good performance in terms of accuracy, but because of the implementation of the image processing systems now requires faster process of the computer, the speed of this technique’s … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Jul 2010 · 8,137 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSingle Beam Z-Scan Measurements of Nonlinear Refraction and Nonlinear Absorption Coefficients in Silver Nano-FluidEsmaeil Shahriari, W. Mahmood Mat YunusProblem statement: The nonlinear refractive index and nonlinear absorption are two important optical phenomena which are extensively used in optical switching, optical limiting and labeling. Approach: In the present research we had measured nonlinearity of Ag nano-fluid prepared using γ-irradiation method. The measurement was carried out using a single beam z-scan technique. Under a CW laser beam excitation operated at … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 1 · 31 Mar 2010 · 9,635 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEgronomic Fingerprint Scanner Design for People with Motor Neuron DiseasesAbdulkareem Al-Alwani, Majdi BeseisoFingerprint devices have evolved with time for authentication and identification purposes. It is used in generic security and social applications where identification and logging is required when entering that premises. In some circumstances the lag time increases due to increase in human entrees such as at immigration points, airports, random security checkups, attendance loggers. The increase in overall time due … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 28 Oct 2013 · 6,478 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleChronic 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 accessEvery word in the titleThe Effect of Citrullus colocynthis Pulp Extract on the Liver of Diabetic Rats a Light and Scanning Electron Microscopic StudyMohammad Khalil, Gamal Mohamed, Mohammad Dallak et al.Problem statement: The goal of the current investigation was to clarify the effects of Citrullus colocynthis pulp extract on the structure of the liver of diabetic rats at both light and scanning electron microscopic levels. Approach: Forty-eight adult male albino rats were equally allocated into four groups: Group1: control, Group 2: Citrullus colocynthis-treated, Group 3: diabetic rats and Group4: diabetic … …American Journal of Biochemistry and Biotechnology, Vol. 6, Issue 3 · 30 Sep 2010 · 9,478 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Prototype Two-Axis Laser Scanning System used in Stereolithography Apparatus with New Algorithms for Computerized Model SlicingM. Habibi, H. Shahmohammadi, V. Taraghi et al.Problem statement: A successful operation of rapid prototyping process depends on software and hardware which are used in RP machines. About software, an efficient technique is required to slice the CAD model. Several slicing methods are used for slicing from Standard Triangulation Language (STL) files, such as direct slicing and adaptive slicing. Using these methods reduce accuracy of physical part … …American Journal of Applied Sciences, Vol. 6, Issue 9 · 30 Sep 2009 · 7,352 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalgesic and Antioxidant Activity of the Hydromethanolic Extract of Mikania scandens (L.) Willd. LeavesS.M. Raquibul Hasan, Mariam Jamila, Muntasir Mamun Majumder et al.Problem statement: Mikania scandens (L.) Willd., a medicinal plant, is popularly used as herbal remedy for various ailments in Bangladesh. But the scientific basis for its medicinal use especially in pain and inflammation remains unknown. Therefore, the present study was designed to evaluate analgesic and antioxidant potential of the hydromethanol extract of the leaves of the plant. Approach: The analgesic … …American Journal of Pharmacology and Toxicology, Vol. 4, Issue 1 · 31 Mar 2009 · 12,542 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleClassifications of Skull Fractures using CT Scan Images via CNN with Lazy Learning ApproachMd Moniruzzaman Emon, Tareque Rahman Ornob, Moqsadur RahmanClassification of skull fracture is a challenging task for both radiologists and researchers. Skull fractures result in broken pieces of bone, which can cut into the brain and cause bleeding and other injury types. So it is vital to detect and classify the fracture very early. In real world, often fractures occur at multiple sites. This makes it harder to … …Journal of Computer Science, Vol. 18, Issue 3 · 15 Mar 2022 · 9,005 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Vertical Stacking-Based Ensemble Deep Learning Model for Early Diagnosis of Alzheimer's Disease Using Multimodal MRI ScansParvatham Niranjan Kumar, Lakshmana Phaneendra MaguluriEarly detection of Alzheimer's Disease (AD) is crucial for timely interventions that can slow disease progression, enhance quality of life, and assist with future planning. Convolutional Neural Networks (CNNs) are an efficient method for processing image-based data. In this work, we used CNN-based deep learning models to extract structural information from structural MRI (sMRI) and brain neuron connectivity patterns from … …Journal of Computer Science, Vol. 21, Issue 6 · 14 Jun 2025 · 3,099 accessesView PDFCite