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47 articles for “precision rate”

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Research ArticleOpen accessIn the abstractClamshell vs. Backhoe Excavation of Permeable Reactive BarriersRajandrea Sethi, Steve Day, Antonio Di MolfettaProblem statement: Permeable Reactive Barriers (PRBs) were one of the most widespread solutions for the remediation of contaminated aquifers. Although, a variety of excavation methods had been developed, backhoe (hydraulic excavators) were commonly used for the construction of PRBs in North America. Approach: In Europe, the most common method of slurry excavation was with a hydraulic grab and crane. The … …American Journal of Environmental Sciences, Vol. 7, Issue 5 · 4 Nov 2011 · 7,238 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Intrusion Detection System for Wireless Body Area Network in Health Care MonitoringT. V.P. Sundararajan, A. ShanmugamProblem statement: Health monitoring, telemedicine, military, interactive entertainment and portable audio/video systems were most promising applications where WBANs can be used. However, designers of such systems face a number of challenging tasks, as they need to address often quite conflicting requirements for size, operating time, precision and reliability. Network security is very important in Wireless Body Area Network (WBAN) since … …Journal of Computer Science, Vol. 6, Issue 11 · 26 Oct 2010 · 6,707 accessesView PDFCite
Research ArticleOpen accessIn the abstractSolving Square Jigsaw Puzzles Using Dynamic Programming and the Hungarian ProcedureNaif AlajlanProblem statement: To design, implement, and test an algorithm for solving the square jigsaw puzzle problem, which has many applications in image processing, pattern recognition, and computer vision such as restoration of archeological artifacts and image descrambling. Approach: The algorithm used the gray level profiles of border pixels for local matching of the puzzle pieces, which was performed using dynamic … …American Journal of Applied Sciences, Vol. 6, Issue 11 · 30 Nov 2009 · 7,690 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NOVEL APPROACH BASED ON GENETIC FUZZY CLUSTERING AND ADAPTIVE NEURAL NETWORKS FOR SALES FORECASTINGAttariuas Hichama, Bouhorma Mohameda, El Fallahi AbdellahbThis article proposes a new hybrid sales forecasting system based on genetic fuzzy clustering and Back-Propagation (BP) Neural Networks with adaptive learning rate (GFCBPN).The proposed architecture consists of three stages: (1) utilizing Winter’s Exponential Smoothing method and Fuzzy C-Means clustering, all normalized data records will be categorized into k clusters; (2) using an adapted Genetic Fuzzy System (MCGFS), the fuzzy … …Journal of Computer Science, Vol. 9, Issue 8 · 2 Jul 2013 · 6,669 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Color-Blind Aid SystemRuki Harwahyu, Alfa Sheffildi Manaf, Bayu Sri Ananto et al.Color-blind is a physical defect causing patient loses the ability to recognize colors either particular or the whole of them. This disability is problematic in daily life, moreover in some specific areas that require carefulness eyesight. We propose a vision aid kit with improved user experience, such as finger pointer and voice command-and-response. Our work proofs the design and implementation … …Journal of Computer Science, Vol. 9, Issue 6 · 8 Jun 2013 · 7,552 accessesView PDFCite
Research ArticleOpen accessIn the abstractContent Based Medical Image Retrieval using Binary Association RulesAkila, Uma MaheswariIn this study, we propose a content-based medical image retrieval framework based on binary association rules to augment the results of medical image diagnosis, for supporting clinical decision making. Specifically, this work is employed on scanned Magnetic Resonance brain Images (MRI) and the proposed Content Based Image Retrieval (CBIR) process is for enhancing relevancy rate of retrieved images. The pertinent … …Journal of Computer Science, Vol. 9, Issue 6 · 30 May 2013 · 6,548 accessesView PDFCite
Research ArticleOpen accessIn the abstractPhonocardiogram Classification Based on Machine Learning with Multiple Sound FeaturesKhalid M.O. Nahar, Obaida M. Al-Hazaimeh, Ashraf Abu-Ein, Nasr GharaibehIn this study the heartbeat sound signals were tackled by classifying them into heart disease categories such as normal, artifact, murmur and extrahals in an attempt for early detection of heart defects. Phonocardiogram (i.e., PCG) is used to obtain the digital recording dataset of the heart sounds using an electronic stethoscope or mobile device. Multiple features are extracted from the … …Journal of Computer Science, Vol. 16, Issue 11 · 26 Nov 2020 · 8,259 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Control Techniques for the Role of Antiretroviral Therapy (ART) Abuse in HIV/AIDS Treatment DynamicsBassey Echeng Bassey, Adagba Odey HenryFrom the studies of HIV/AIDS transmission and treatment dynamicsusing mathematical modeling, literature reviews have shown that attention hadnot been given to the behavioral attitude of screen-aware infectives not readyto receive treatment, HIV-aware infectives that initiated treatment buttruncated only to resume treatment later (therapy abuse) and those onconsistent treatment protocols. Moreso, following the non-outright eradicationof the deadly HI-virus, recommendations have been … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 24 Nov 2022 · 5,819 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of a Moving Car Based on Invariant MomentsAbdul Monem Rahma, Nabaa Basil AbdThis paper presents a proposed technique based on Invariant Moments to detect moving cars in front of Autonomous Cars in order to increase safety and reduce road accidents, thus saving lives, which are one of the most important matters in the context of Autonomous Cars. Object detection from a sequence of images is preparatory step but a crucial mission for … …Journal of Computer Science, Vol. 14, Issue 3 · 20 Nov 2017 · 7,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Dynamic Threshold Method for Skin Colour Detection Using Multi-Colour SpaceMohd Zamri Osman, Mohd Aizaini Maarof, Mohd Foad RohaniThis paper presents a skin colour detection based on an improved dynamic threshold method to reduce false skin detection. Current fixed threshold skin detection fails in certain situations such as misclassification between non skin-like with similar skin-like colour. Any true skin may falsely be detected as non-skin. Research work introduces high-level skin detection strategy based on online sampling where offline … …American Journal of Applied Sciences, Vol. 13, Issue 2 · 19 Dec 2015 · 7,939 accessesView PDFCite