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219 articles for “Genetic algorithm”
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Research ArticleOpen accessIn the abstractEvaluating Patient Readmission Risk: A Predictive Analytics ApproachAvishek Choudhury, Dr. Christopher M. GreeneWith the emergence of the Hospital Readmission Reduction Program of the Center for Medicare and Medicaid Services on October 1, 2012, forecasting unplanned patient readmission risk became crucial to the healthcare domain. There are tangible works in the literature emphasizing on developing readmission risk prediction models; However, the models are not accurate enough to be deployed in an actual clinical … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 4 · 7 Dec 2018 · 8,155 accessesView PDFCite
Research ArticleOpen accessIn the abstractGene Selection and Classification in Microarray Datasets using a Hybrid Approach of PCC-BPSO/GA with Multi ClassifiersShilan S. Hameed, Fahmi F. Muhammad, Rohayanti Hassan, Faisal SaeedIn this study, a three-phase hybrid approach is proposed for the selection and classification of high dimensional microarray data. The method uses Pearson’s Correlation Coefficient (PCC) in combination with Binary Particle Swarm Optimization (BPSO) or Genetic Algorithm (GA) along with various classifiers, thereby forming a PCC-BPSO/GA-multi classifiers approach. As such, five various classifiers are employed in the final stage of … …Journal of Computer Science, Vol. 14, Issue 6 · 26 Jun 2018 · 9,355 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 · 6,791 accessesView PDFCite
Research ArticleOpen accessIn the abstractBuilding Energy Modeling Using Artificial Neural NetworksMaya Arida, Nabil Nassif, Rand Talib, Taher Abu-LebdehAccurate modeling of total building energy is now vital to reduce energy consumption. This is especially true for buildings since they are considered as the largest energy consumer in the United States. This paper investigates modeling methods for building energy-systems using non-linear auto-regression artificial neural networks. The proposed model can forecast the whole building energy consumptions given the four input … …Energy Research Journal, Vol. 7, Issue 2 · 6 Jun 2017 · 7,125 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Weighted Voting Deep Learning Approach for Plant Disease ClassificationAssia Ennouni, Noura Ouled Sihamman, My Abdelouahed Sabri, Abdellah AarabPlant destruction is usually caused by plant diseases. Without early and reliable detection, it can affect the plants and may eventually cause permanent losses, especially for inexperienced farmers. Therefore, intelligence in agriculture is becoming more and more required. Thereafter early diagnosis and classification are crucial and a very challenging research field in the agriculture sector for its treatment. In this … …Journal of Computer Science, Vol. 17, Issue 12 · 16 Dec 2021 · 6,557 accessesView PDFCite
Research ArticleOpen accessIn the abstractFatigue Life Prediction of Screw Blade in Screw Sand Washing Machine under Random Load with Gauss DistributionJie Gong, Yun-Fei Fu, Wen Xia et al.The purpose of this study is to present a new method for estimating the fatigue life of the screw blade in the screw sand washing machine. To ensure the accuracy of numerical simulation, the loading area and the value of load are determined by means of the theoretical analysis. To ascertain the location of the stress peak and stress range, … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 22 Dec 2016 · 8,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractTowards Solving the Problem of Virtual Machine Placement in Cloud Computing: A Job Classification ApproachAuday Al-Dulaimy, Ahmed Zekri, Wassim Itani, Rached ZantoutCloud Computing is a paradigm that delivers services by providing an access to wide range of shared resources which are hosted in cloud data centers. One of the recent challenges in this paradigm is to enhance the energy efficiency in these data centers. In this study, a model that identifies common patterns for the jobs submitted to the cloud is … …Journal of Computer Science, Vol. 12, Issue 3 · 8 Apr 2016 · 7,283 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Moment Features Extraction for Recognizing Handwritten Arabic LettersGheith Abandah, Nasser AnssariProblem statement: Offline recognition of handwritten Arabic text awaits accurate recognition solutions. Most of the Arabic letters have secondary components that are important in recognizing these letters. However these components have large writing variations. We targeted enhancing the feature extraction stage in recognizing handwritten Arabic text. Approach: In this study, we proposed a novel feature extraction approach of handwritten Arabic … …Journal of Computer Science, Vol. 5, Issue 3 · 31 Mar 2009 · 7,495 accessesView PDFCite
Research ArticleOpen accessIn the abstractDecentralized Controller Design for Static Synchronous Compensator Using Robust Quantitative Feedback Theory MethodSeyed Abbas Taher, Reza Hematti, Ali Abdolalipour, Majid NematiThe Static Synchronous Compensator (STATCOM) provides shunt compensation in similar way to the Static VAR Compensator (SVC) but utilizes a voltage source converter rather than capacitors and reactor. In practice systems use simple Proportional-Integral (PI) controllers for control of STATCOM. However, since the PI control parameters were usually tuned based on classical or trial-and-error approaches, they were incapable of obtaining … …American Journal of Engineering and Applied Sciences, Vol. 1, Issue 1 · 31 Mar 2008 · 7,459 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Survey of Methods for Managing the Classification and Solution of Data Imbalance ProblemKhan Md. Hasib, Md. Sadiq Iqbal, Faisal Muhammad Shah et al.The problem of class imbalance is extensive for focusing on numerous applications in the real world. In such a situation, nearly all of the examples are labeled as one class called majority class, while far fewer examples are labeled as the other class usually, the more important class is called minority. Over the last few years, several types of research … …Journal of Computer Science, Vol. 16, Issue 11 · 13 Nov 2020 · 10,120 accessesView PDFCite