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92 articles for “Detection Methods\Techniques”
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Research ArticleOpen accessIn the abstractIncreasing Effectiveness of IDS to Improve Security in IntranetUmesh Kumar Singh, A. K. Ramani, Narendra S. Chaudhari, Vandana GuptaToday Intrusion Detection Systems (IDS) are becoming one of the most important tools for intranet security. Research regarding Intrusion Detection Systems (IDSs) has become more active with the recent increases in illegal accesses to computer systems. Many researchers focus only on the techniques or mechanisms for detecting intrusions automatically, without considering the security of IDSs themselves. When an intruder attacks … …American Journal of Applied Sciences, Vol. 2, Issue 6 · 30 Jun 2005 · 7,148 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Various Diagnostic Methods for Trichomonas Vaginalis Infection in Trinidad and TobagoAruna Kumari Divakaruni, Bisram Mahabir, FA Orrett et al.Trichomonas vaginalis infection is a common sexually transmitted infection in the reproductive age group, which may lead to complications. Wet mount examination is the most common test for diagnosis, but it has low sensitivity. Fluorescent antibody staining can be used for diagnosis, but it is expensive and requires special microscopic facility. Culture is considered as the gold standard, but it … …American Journal of Infectious Diseases, Vol. 14, Issue 2 · 6 Oct 2018 · 8,064 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Reliable Identification System for Red Palm WeevilSaleh Mufleh Al-SaqerProblem statement: Red Palm Weevil (RPW) is a widely found pest among palm trees and is known to cause significant losses every year to palm growers. Existing identification techniques for RPW comprise of using traps with pheromones to detect these pests. However, these traditional methods are labor-intensive, expensive to implement and unreliable for early detection of RPW infestation. Early detection … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 18 Jun 2012 · 7,020 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification of Defects in Composite Materials Using an Improved Wavelet Analysis AlgorithmYahiaoui Aicha, Si-Chaib Med, O.A. ChellilProblem statement: The present work carries on the use of a method based on the wavelet transform to detect internal flaws of composite materials. The objective of this work consists in working out a data processing sequence of an ultrasonic signal identifying nearly flaws in composite laminate materials and estimating their position. Approach: The use of a numerical signal processing … …Physics International, Vol. 2, Issue 2 · 12 Mar 2012 · 8,170 accessesView PDFCite
Research ArticleOpen accessIn the abstractSPLINE ACTIVATED NEURAL NETWORK FOR CLASSIFYING CARDIAC ARRHYTHMIAY. S. Kumaraswamy, R. Ganesh KumarElectro Cardiogram’s (ECG) biomedical signals characterizing cardiac anomalies are used for identifying cardiac arrhythmia. Irregular heartbeat-Arrhythmia-affects heart rate causing problems. Many methods, trying to simplify arrhythmia monitoring through automated detection, were developed over the years. ECG classification for arrhythmia is investigated in this paper based on soft computing techniques. RR interval are extracted from time series of the ECG and … …Journal of Computer Science, Vol. 10, Issue 8 · 9 Apr 2014 · 6,973 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Heuristic Moving Vehicle Location Prediction Technique Via Optimal Paths Selection with Aid of Genetic Algorithm and Feed Forward Back Propagation Neural NetworkE. Baby Anitha, K. DuraiswamyThe moving object or vehicle location prediction based on their spatial and temporal information is an important task in many applications. Different methods were utilized for performing the vehicle movement detection and prediction process. In such works, there is a lack of analysis in predicting the vehicles location in current as well as in future. Moreover, such methods compute the … …Journal of Computer Science, Vol. 8, Issue 12 · 12 Dec 2012 · 8,894 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Certain Tetracyclines and Oxytetracyclines through Charge Transfer ComplexationKhairi M.S. FahelelbomProblem statement: Several studies were carried out to develop and validate a simple, rapid and accurate spectrophotometric method for the analysis of tetracycline (TC) and oxytetracycline (OTC) in the pure form and in pharmaceutical dosage forms, despite the varieties of these analytical techniques, the literature revealed that no spectrophotometric method for determination of tetracycline and oxytetracycline using charge transfer complexation … …American Journal of Pharmacology and Toxicology, Vol. 3, Issue 3 · 30 Sep 2008 · 8,541 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
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 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