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127 results for “reduction algorithm”
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Research ArticleOpen accessIn the abstractEfficient Pre-processing of USF and MIAS Mammogram ImagesAyman A. AbuBaker, R. S. Qahwaji, Musbah J. Aqel et al.High quality mammogram images are high resolution and large size images. Processing these images require high computational capabilities. The transmission of these images over the net is sometimes critical especially if the diagnosis of remote radiologists is required. In this paper, a pre-processing technique for reducing the size and enhancing the quality of USF and MIAS mammogram images is introduced. … …Journal of Computer Science, Vol. 3, Issue 2 · 28 Feb 2007 · 7,171 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Preparation in Machine Learning for Condition-based MaintenanceOns Masmoudi, Mehdi Jaoua, Amel Jaoua, Soumaya YacoutUsing Machine Learning (ML) prediction to achieve a successful, cost-effective, Condition-Based Maintenance (CBM) strategy has become very attractive in the context of Industry 4.0. In other fields, it is well known that in order to benefit from the prediction capability of ML algorithms, the data preparation phase must be well conducted. Thus, the objective of this paper is to investigate … …Journal of Computer Science, Vol. 17, Issue 6 · 4 Jun 2021 · 8,419 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONSTRAINT SOVLING ENGINE BASED NURSE ROSTERING WITH INTELLIGENT BACKTRACKINGS. Chitrakala, S. P. Surendernath, R. PriyatharshiniEfficient utilization of time and effort is essential in Personnel scheduling problems to evenly balance the workload among the people and attempt to satisfy the personnel preferences. In Constraint Satisfaction Problem based scheduling problems, when a branch of the search fails the backtracking search algorithm back up to the preceding variable and try a different value for it. So here … …Journal of Computer Science, Vol. 10, Issue 10 · 22 May 2014 · 6,946 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Neuro-Fuzzy Inference System-Particle Swarm Optimization Based Stability Maintenance of Power System NetworksR. Latha, J. KanakarajDuring faulty condition voltage instability is one of the major crisis in power system networks. This study proposes a hybrid learning algorithm to improve the stability performance of a power system with Distributed Generations (DGs). Here the distribution system stability is maintained with reduced power loss using an Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Particle Swarm Optimization (PSO) techniques. In … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 6,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractIMPROVING DATA AVAILABILITY IN MOBILE ENVIRONMENT USING DATA ALLOCATIONMoaiad Ahmad Khder, Zulaiha Ali Othman, Abdullah Mohd Zin, Salha AbdullahData distribution is one of the crucial issues in Data Base Management Systems (DBMS) in general and in Mobile environment in Particular. It is important because, if not properly managed, it will cause reduction in data availability, which in turn causes more rejections in transactions. Replication algorithms (e.g., CCM) are used to improve data availability. However, the database replication algorithms … …Journal of Computer Science, Vol. 9, Issue 8 · 5 Jul 2013 · 6,866 accessesView PDFCite
Research ArticleOpen accessIn the abstractMotion Detection and Projection Based Block Motion Estimation Using the Radon Transform for Video CodingShilpa P. Metkar, Sanjay N. TalbarProblem statement: Motion estimation and compensation is the most computationally complex module of video coder. In this study, an innovative algorithm was proposed for a further complexity reduction of the Motion Estimation (ME) module of video coder by employing motion detection prior to motion compensation. Approach: A Motion Detection (MD) module can be added to the video coder in order … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,330 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Detection Algorithm for a Multiple-Input and Multiple-Output Multiuser Multi-Carrier Code Division Multiple Access in Time-Varying ChannelsFares Sayadi, Mahamod Ismail, Norbahiah Misran et al.Problem statement: Maximum Likelihood (ML) decoding has been applied for the uplink of a Multi-Carrier Code Division Multiple Access (MC-CDMA) system based on Orthogonal Frequency Division Multiplexing (OFDM). Multiple-Input Multiple-Output (MIMO) channel from k users, which moves at vehicular speed, to the Base-Station (BS) is time-varying. For time-varying channels, Sphere Decoding (SD) was introduced to perform ML decoding. Whereas, computational … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 7,582 accessesView PDFCite
Research ArticleOpen accessIn the abstractBinary Merge Coding for Lossless Image Data CompressionN. Subhash Chandra, M. Bala Raju, M. Arya bahanu et al.Problem statement: Image processing applications were drastically increasing over the years. In such a scenario, the fact that, the digital images need huge amounts of disk space seems to be a crippling disadvantage during transmission and storage. So, there arises a need for data compression of images. Approach: This study proposed a novel technique called binary merge coding for lossless … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 6,864 accessesView PDFCite
Research ArticleOpen accessIn the abstractEchocardiographic Pulmonary to Left Atrial Ratio in Dogs (ePLAR): A Differential Marker of Pre- and Postcapillary Pulmonary HypertensionDmitrij Oleynikov, Ma YiPulmonary Hypertension (PH) in dogs is a complicated syndrome that could be primary, due to idiopathic or genetic causes, or secondary due to pulmonary disease, pulmonary thromboembolism, heartworm disease, heart failure. Due to the inability of the routine use of right heart catheterization in veterinary patients, there is a lack of differential criteria between PH forms. This study was performed … …American Journal of Animal and Veterinary Sciences, Vol. 17, Issue 1 · 17 Feb 2022 · 6,793 accessesView PDFCite