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179 results for “multi class”
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Research ArticleOpen accessIn the abstractDesign and Analysis of a Smart Multi Purpose Electronic Nose SystemMahmoud Z. Iskandarani, Nidal F. ShilbayehAn electronic nose system for multi application purposes is designed and tested. Our hardware design allows various types of sensors to be used for different applications. The system is capable of being interfaced to both analog and digital instruments with special filtering devices that isolate the system from surrounding signals. The design of the system is distinguished through the use … …Journal of Computer Science, Vol. 1, Issue 1 · 31 Mar 2005 · 6,937 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Land Use and Land Cover Changing Patterns of Bangladesh Using Remote Sensing TechnologyMd. Mahmudul Hasan, Rashidul Islam, Md. Saifur Rahman et al.Bangladesh is a deltaic country situated in the fringe of Bay of Bengal. Land Use and Land Cover (LULC) change is the concerning issue in the present world. Bangladesh is highly vulnerable to LULC changes due to its geographical location and shortage of awareness that’s why author conduct this research. The research was focused on analysing the LULC changes pattern … …American Journal of Environmental Sciences, Vol. 17, Issue 3 · 26 Aug 2021 · 10,113 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Binary and Ternary Models in Powder Packing Density for Additive Manufacturing ApplicationsTaher M. Abu-Lebdeh, Oluwatobiloba Adetokunbo KalejaiyePowder packing is a very important aspect of additive manufacturing (3-D printing), as it directly impacts the final physical and mechanical properties of the printed objects. Improving the packing density of powder directly impacts the microstructure of the finished 3D-printed product, which also contributes to the surface finish. In order to achieve the densest packing for a powder, different sizes … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 2 · 15 Jun 2021 · 7,275 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel SIFT-SVM Approach for Prostate Cancer DetectionSwetha Parvatha Reddy Chandrasekhara, Mohan Govindsa Kabadi, SrivinayProstate cancer is a major cause of concern in male population as it is said to affect 1 in every 7 men in their lifetime. The number of cases being registered for prostate cancer and its mortality rates are increasing yearly at an alarming rate. Due to the high resolution and multi-dimensionality of the Magnetic Resonance Imaging (MRI) images, proper … …Journal of Computer Science, Vol. 16, Issue 12 · 22 Dec 2020 · 7,524 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Ant Colony Optimization and Genetic Algorithm for Rule InductionHayder Naser Khraibet AL-Behadili, Ku Ruhana Ku-Mahamud, Rafid SagbanIn this study, a hybrid rule-based classifier namely, ant colony optimization/genetic algorithm ACO/GA is introduced to improve the classification accuracy of Ant-Miner classifier by using GA. The Ant-Miner classifier is efficient, useful and commonly used for solving rule-based classification problems in data mining. Ant-Miner, which is an ACO variant, suffers from local optimization problem which affects its performance. In our … …Journal of Computer Science, Vol. 16, Issue 7 · 24 Jul 2020 · 7,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Support Vector Machine based on Metaheuristic Search for Multiclass ProblemsAbdullah Saeed Ghareb, Mohammed Hamid Afif, Abdel-Rahman Hedar et al.Machine learning is an important field of artificial intelligent researches and it highly growing for real intelligent applications systems that relate brain computer interface to human brain activities. Support Vector Machine (SVM) is a popular machine learning approach, which can be used for pattern recognition, prediction and classification with many diverse applications. However, the SVM has many parameters, which have … …Journal of Computer Science, Vol. 16, Issue 7 · 9 Jul 2020 · 6,906 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultipatch-GLCM for Texture Feature Extraction on Classification of the Colon Histopathology Images using Deep Neural Network with GPU AccelerationToto Haryanto, Adib Pratama, Heru Suhartanto et al.Cancer is one of the leading causes of death in the world. It is the main reason why research in this field becomes challenging. Not only for the pathologist but also from the view of a computer scientist. Hematoxylin and Eosin (H&E) images are the most common modalities used by the pathologist for cancer detection. The status of cancer with … …Journal of Computer Science, Vol. 16, Issue 3 · 5 Mar 2020 · 9,215 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnglish Sentiment Classification using Only the Sentiment Lexicons with a JOHNSON Coefficient in a Parallel Network EnvironmentVo Ngoc Phu, Vo Thi Ngoc TranSentiment classification is significant in everyday life, such as in political activities, commodity production and commercial activities. In this survey, we have proposed a new model for Big Data sentiment classification. We use many sentiment lexicons of our basis English Sentiment Dictionary (bESD) to classify 5,000,000 documents including 2,500,000 positive and 2,500,000 negative of our testing data set in English. … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 22 Dec 2017 · 7,327 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 abstractINTRUSION DETECTION SYSTEM IN SECURE SHELL TRAFFIC IN CLOUD ENVIRONMENTMehdi Barati, Azizol Abdullah, NurIzura Udzir et al.Due to growth of Cloud computing usage, the need to apply encrypted protocols to provide confidentiality and integrity of data increases dramatically. Attacker can take advantage of these protocols to hide the intrusion and evade detection. Many traditional attack detection techniques have been proposed to provide security in the networks but none of them can be implemented properly in encrypted … …Journal of Computer Science, Vol. 10, Issue 10 · 26 Jun 2014 · 7,851 accessesView PDFCite