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247 results for “Detection Techniques”
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Research ArticleOpen accessIn the abstractImmunohistochemistry Assay to Detect Turkey Coronavirus (TCoV) from Experimentally Infected PoultsThais Larissa L Castanheira, Heitor F. Ferrari, Maria Cecília R. Luvizotto, Tereza C. CardosoThe objective of this study was to develop a direct immunohistochemical assay to detect TCoV antigens in formalin-fixed paraffin-embedded sections prepared from experimentally infected poults. The sections of ileo, ileo-cecal junction and ceca regions from intestine were prepared and submitted to two different primary antibodies, first the non-biotin labeled polyclonal antibody for the indirect method, and second the biotin-labeled polyclonal … …American Journal of Immunology, Vol. 3, Issue 2 · 31 Dec 2007 · 6,906 accessesView PDFCite
Research ArticleOpen accessIn the abstractContributions To The Study Of Heavy Metals Concentration Variation In Sedimentable Dusts According To The Distance From The Pollution SourceMariana DOBRA, Vasile VIMAN, Gheorghe VÂTCĂThe environment in areas where geological and mining activities, such as the extraction of ores containing heavy metals, take place, is heavily polluted with dusts resulting from these activities, as well as with residual waters from the mines. Depending on the meteorological conditions, as well as on the conditions under which sedimentable dusts or dusts in suspension are emitted into … …American Journal of Environmental Sciences, Vol. 2, Issue 3 · 30 Sep 2006 · 6,970 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordChallenges of Breast Cancer Detection Based on Histopathology ImagesAlaa Mohamed Youssef, Aliaa Abdel-Haleim Abdel-Razik Youssif, Wessam El BehaidyArtificial Intelligence (AI) is rapidly evolving every day to become increasingly potent and dependable. AI systems are becoming more sophisticated and are being utilized across various domains with the goal of enhancing human existence. Within the healthcare system, artificial intelligence finds application in handling and documenting large volumes of medical data, conducting analyses of healthcare systems, advancing pharmaceutical development, and … …Journal of Computer Science, Vol. 20, Issue 7 · 17 Apr 2024 · 4,947 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordHybrid Deep Learning for Kidney Stone Detection in CT Scans With Noise Reduction and Feature EnhancementU. M. Fernandes Dimlo, Sreenu Banoth, Priti Bihade et al.The identification of kidney stones using CT scans is an essential but difficult effort in medical diagnostics, frequently obstructed by imaging noise and the complexity of manual interpretation. Although conventional methods are widely used, they suffer from inaccuracies and inefficiencies, necessitating the development of automated diagnostic solutions. This study tackles these issues by presenting HDCNRNet, a hybrid deep learning network … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 2,174 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Novel Anomaly Detection Approach for Nifty Stocks using Machine Learning for Construction of Efficient Portfolio to Reduce Losses and Protect GainsVirrat Devaser, Priyanka ChawlaMachine Learning is the most essential and widely utilized methodological approach these days for performing, organizing, and analyzing data using a variety of approaches to produce correct and efficient results. Machine learning methodologies are also applicable to stock markets, which have grown multi-fold in recent years, and with the amount of money involved, the possibility of manipulation is always present … …Journal of Computer Science, Vol. 18, Issue 5 · 6 Jun 2022 · 6,447 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDeep Learning Approaches for Early Detection of Skin Cancer Disease Detection Using Segmentation and Classification with Severity AnalysisPunam R. Patil, Ritu TandonThe utmost prevalent type of the disease, skin cancer claims millions of lives every year, poses a serious public health threat particularly melanoma, which is often fatal if not detected early. Early diagnosis is crucial, yet traditional methods frequently fall short due to image quality limitations and the complexity of visual differentiation. With an emphasis on severity analysis, this study … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 2,058 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordHybrid Multi-Layer Perceptron and Enhanced Edge-Free Active Contour Model Lung Nodule Detection AlgorithmShengguang PengA computer-assisted method is usually used to identify pneumoconiosis by segmenting and classifying the initial area of interest. The accuracy of current techniques for segmenting and classifying lung nodules is often suboptimal. Therefore, a hybrid Multi-Layer Perceptron (MLP) and enhanced edge-free active contour model (CV) algorithm are proposed to solve this problem. First, lung nodules are identified by the MLP … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 1 · 25 Jan 2025 · 5,550 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPerformance Analysis of Modified Enhancement Method for Dental Images - Towards the Effective Detection of Dental DisordersKrishnaveni R, Sudarmani RDental health maintenance is essential for overall physiological well-being, and X-ray imaging remains a fundamental diagnostic tool for comprehensive dental examination. While direct clinical observation by dentists is primary, computer-aided diagnostic tools serve as valuable secondary readers, enhancing diagnostic accuracy and efficiency. This study proposes and evaluates the Gaussian CLAHE Enhancement (GCE) method, which combines Gaussian filtering (GF) with Contrast … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 1,723 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordComputer Vision for Reducing Food Waste in an Institutional Canteen: A Literature Review and Performance AnalysisAna Correia, Clara Aidos, João M. L. P. Caldeira et al.Food waste in today's society has been the subject of growing interest and discussion, given its economic, environmental, social, and nutritional implications. Although food waste is present throughout the food supply chain, in developed countries it tends to be higher in the final stages of consumption (e.g., households and food services). This study focuses on institutional canteens, where food waste … …Journal of Computer Science, Vol. 21, Issue 4 · 10 Mar 2025 · 6,345 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFarmer-Friendly Mobile Application for Automated Leaf Disease Detection of Real-Time Augmented Data Set using Convolution Neural NetworksRishiikeshwer B. S., T. Aswin Shriram, J. Sanjay Raju et al.In farming, crops are prone to a wide variety of diseases. The impact of sudden climatic change has adverse effects on their growth, providing incubation to harmful viruses and bacteria. Diseases to crops imply a significant negative impact on health, economy and livelihood of the human population. According to the data from the Food and Agricultural Organization (FAO), an average … …Journal of Computer Science, Vol. 16, Issue 2 · 24 Aug 2019 · 8,993 accessesView PDFCite