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44 articles for “false positive”
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Research ArticleOpen accessIn the abstractIncreasing the Reliability of Fuzzy Inference System-Based Skin DetectorAlaa Y. Taqa, Hamid A. JalabProblem statement: Skin detection is a common primitive for many human-related image processing applications, such as video surveillance, naked image filters and face detection. Skin color is considered as a useful and discriminating spatial feature for many applications, but it is not robust enough to deal with complex image environments. Skin tones range from dark (some Africans) to light white … …American Journal of Applied Sciences, Vol. 7, Issue 8 · 31 Aug 2010 · 7,143 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Role of Trade Regulations in the Sustainable Management of Natural ResourcesAbhijeet MukherjiProblem statement: The complex issues involved in the role of trade regulations in sustainable management of natural resources have necessitated intensive research in this area. Approach: Hence this study highlights the fact that while the international community is making efforts to take concrete actions to protect the environment, mitigate the negative impacts of increased trade and promote the positive impacts … …American Journal of Economics and Business Administration, Vol. 1, Issue 4 · 31 Dec 2009 · 7,237 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphological Characteristics and Pathogenicity of Synchytrium psophocarpi (Rac.) Baumann Associated With False Rust on Winged BeanAbdollah Karami, Zainal Abidin Mior Ahmad, Kamaruzaman SijamProblem statement: Winged bean (Psophocarpus tetragonolobus L.) is an important tropical legume in countries like Malaysia due to its potential as a high protein value crop. However, bright-orange pustules observed on the veins of young leaves, stems, pods and sepals depict symptoms of false rust disease on beans. The causal agent of this disease has been found to be Synchytrium … …American Journal of Applied Sciences, Vol. 6, Issue 11 · 30 Nov 2009 · 9,581 accessesView PDFCite
Research ArticleOpen accessIn the abstractIsolation and Identification of Listeria monocytogenes in Processed Meat by a Combined Cultural-molecular MethodAngela Ingianni, Marta Quartuccio, Maria Antonietta Madeddu et al.The isolation and identification of Listeria monocytogenes in processed meat samples by a combined cultural-molecular method is described. It allows the identification of Listeria strains by means of a hybridization technique with a specific DNA probe directed to the listerial internalin gene. The specificity of this method was found to be 100% and sensitivity was as low as 1 CFU/2.5 … …American Journal of Infectious Diseases, Vol. 3, Issue 3 · 30 Sep 2007 · 7,256 accessesView PDFCite
Research ArticleOpen accessIn the abstractREVIEW CLUSTERING MECHANISMS OF DISTRIBUTED DENIAL OF SERVICE ATTACKSWesam Bhaya, Mehdi Ebady ManaaDistributed Denial of Service attacks (DDoS) overwhelm network resources with useless or harmful packets and prevent normal users from accessing these network resources. These attacks jeopardize the confidentiality, privacy and integrity of information on the internet. Since it is very difficult to set any predefined rules to correctly identify genuine network traffic, an anomaly-based Intrusion Detection System (IDS) for network … …Journal of Computer Science, Vol. 10, Issue 10 · 26 Jun 2014 · 7,643 accessesView PDFCite
Research ArticleOpen accessIn the abstractCLASSIFICATION OF DIGITAL IMAGES USING FUSION ELEVATED ORDER CLASSIFIER IN WAVELET NEURAL NETWORKR. Arulmurugan, P. SengottuvelanThe revival of wavelet neural networks obtained an extensive use in digital image processing. The shape representation, classification and detection play a very important role in the image analysis. Boosted Greedy Sparse Linear Discriminate Analysis (BGSLDA) trains the cascade level of detection in an efficient manner. With the application of reweighting concept and deployment of class-reparability criterion, lesser search was … …Journal of Computer Science, Vol. 10, Issue 9 · 23 Jun 2014 · 6,792 accessesView PDFCite
Research ArticleOpen accessIn the abstractOBJECTIONABLE IMAGE DETECTION IN CLOUD COMPUTING PARADIGM-A REVIEWRashed Mustafa, Dingju ZhuObscenity detection from images and videos are now crucial due to social and ethical reasons. It has been two decades the research on this field started. Most of the works are based on skin color detection, which are not suitable for finding obscenity. The reason for this is that, there are many skins like objects such as beach photos, human … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,976 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance of the Trim and Fill Method in Adjusting for the Publication Bias in Meta-Analysis of Continuous DataNik Ruzni Nik IdrisPublication bias in meta-analysis is a serious issue as it may lead to biased estimates which appear to be precise. A popular method for detecting and adjusting the publication bias is the trim and fill method. This study uses simulated meta-analysis to quantify the effects of publication bias on the overall meta-analysis estimates of continuous data where the absolute mean … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 8 Aug 2012 · 9,441 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Structural Study between Chatting and CheatingSaleh Al-ZhraniProblem statement: Internet Relay Chatting (IRC) is a multi-user, multi-channel chat system that runs on a network. It gives people the ability to participate in a synchronous exchange of thoughts with one or more people over a computer network. Approach: Currently, there is a lot of cheating during the chatting since the chatters do not know each other. However, it … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 7,366 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting the Severity of Breast Masses with Ensemble of Bayesian ClassifiersAlaa M. ElsayadProblem statement: This study evaluated two different Bayesian classifiers; tree augmented Naive Bayes and Markov blanket estimation networks in order to build an ensemble model for prediction the severity of breast masses. The objective of the proposed algorithm was to help physicians in their decisions to perform a breast biopsy on a suspicious lesion seen in a mammogram image or … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,306 accessesView PDFCite