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Research ArticleOpen accessIn the abstractData Analytics for Imbalanced DatasetMadhura Prabha R, Sasikala SThe primary issue in real-time big data classification is imbalanced datasets. Even though we have many balancing techniques to reduce imbalance ratio which is not suitable for big data that has scalability issues. This study is envisioned to explore different balancing techniques with experimental study. We tried comparing the effectiveness of various balancing strategies, including cutting-edge approaches for severely unbalanced … …Journal of Computer Science, Vol. 20, Issue 2 · 11 Jan 2024 · 5,473 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Air-Written Real-Time Multilingual Numeral String Recognition System Using Deep Convolutional Neural NetworksMeenal Jabde, Chandrashekhar Himmatrao Patil, Amol D. Vibhute, Shankar MaliAir-writing is a modern practice for free-space writing of characters or words with hand or finger movements. In the new era, hand gestures are commonly used for Human-Computer Interaction (HCI) or controlling machines in several applications. Writing with a finger or holding any object in hand and 3-D movement in the air is helpful for several applications. However, it is … …Journal of Computer Science, Vol. 20, Issue 12 · 8 Nov 2024 · 5,248 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Approaches for the Prediction of Gas Turbine TransientsArnaud Nguembang Fadja, Giuseppe Cota, Francesco Bertasi et al.Gas Turbine (GT) emergency shutdowns can lead to energy production interruption and may also reduce the lifespan of a turbine. In order to remain competitive in the market, it is necessary to improve the reliability and availability of GTs by developing predictive maintenance systems that are able to predict future conditions of GTs within a certain time. Predicting such situations … …Journal of Computer Science, Vol. 20, Issue 5 · 28 Feb 2024 · 7,660 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Linear Chouquet Integral Algorithm to Design Optimal Time-Cost Model in Large Construction ProjectsHamid Jafari Nia, Kaveh Ostad-Ali-Askari, Hamidreza BabaaliNowadays, the problem of scheduling and executing projects with the least cost and time has become one of the main concerns of project managers. In this regard, researchers have used different methods and patterns. One of these methods is to use concurrent engineering in projects. Simultaneous engineering means the creation of a project schedule for projects based on existing units … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 18 Nov 2020 · 6,686 accessesView PDFCite
Research ArticleOpen accessIn the abstractContent of Phenolic Compounds of Different Organ in Pimpinella brachycarpa Collected from Different Locations in KoreaNam Su Kim, Dae Hui Jung, Kwon Seok Jeon et al.Pimpinella brachycarpa (Kom.) Nakai, reported to have antioxidant activity, is one of the most favored edible greens grown in Asian regions. The present study explores the variation in phenolic compounds in P. brachycarpa collected from different locations in Korea. Six phenolic compounds, i.e., catechin hydrate, chlorogenic acid, ferulic acid, benzoic acid, rutin and quercetin, were detected in the leaves, whereas … …OnLine Journal of Biological Sciences, Vol. 20, Issue 2 · 28 May 2020 · 7,613 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Tool for Testing Agreement Level on Continuous DatasetsBasavarajaiah Mariyappa Doddagangavadi, B. Narasimha Murthy, Netra RajpurohitVarious analytical studies explored the new innovation for testing agreement level in medical and life sciences which can be simulated by Cohen ‘κ’ based on the practical applications. From the past medical literature, many authors suggested that, there is some disproportion research gaps that exists in the statistical methods for measuring the agreements between two or more observers from ‘Cohen … …Current Research in Biostatistics, Vol. 11, Issue 1 · 19 May 2021 · 11,780 accessesView PDFCite
Research ArticleOpen accessIn the abstractConvolution Neural Networks of Dynamically Sized Filters with Modified Stochastic Gradient Descent Optimizer for Sound ClassificationManu Pratap Singh, Pratibha RashmiDeep Neural Networks (DNNs), specifically Convolution Neural Networks (CNNs) are found well suited to address the problem of sound classification due to their ability to capture the pattern of time and frequency domain. Mostly the convolutional neural networks are trained and tested with time-frequency patches of sound samples in the form of 2D pattern vectors. Generally, existing pre-trained convolutional neural … …Journal of Computer Science, Vol. 20, Issue 1 · 13 Dec 2023 · 5,781 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Spring Wheat Varieties for Pest ResistanceRimma Meyramovna Ualiyeva, Mariya Mikhailovna Kaverina, Lyubov Nikolaevna Ivanko, Sayan Berikovich ZhangazinThe article is devoted to the study of spring wheat varieties cultivated in the steppe area of North-Eastern Kazakhstan and their resistance to the main pests. The dynamics of the number and phenology of spring wheat phytophages were investigated in relation to the varietal and climatic characteristics of agricultural production. Modern spring wheat varieties' resistance to the main pests was … …OnLine Journal of Biological Sciences, Vol. 23, Issue 4 · 12 Sep 2023 · 5,412 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Study of Encryption Methods for Cloud Query ProcessingMo’ath Naser Magableh, Basel AlshaikhdeebQuery cloud process is an interested research study that caught many researchers’ attentions. Several studies have presented different types of encryption in order to encrypt the data prior to being migrated over the cloud. However, there is an essential demand to balance between the time consumption and encryption security. This paper presented a comparative study of encryption methods for query … …Journal of Computer Science, Vol. 15, Issue 11 · 6 Nov 2019 · 7,640 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Streams Curation for Better Machine Learning Functionality and Result to Serve IoT and other Applications: A SurveyHaya Salah, Islam Al-Omari, Jaber Alwidian et al.Data Curation on data streams is effective in operating and reducing costs of BIG DATA analytic. Basically, analytic preparation requires data curation of available heterogeneous data sets available in big data clusters and such analytic process becomes harder when it comes to the concept of conducting the curation process on Data-on-Motion, in order to come at actionable insights and valuable … …Journal of Computer Science, Vol. 15, Issue 10 · 1 Nov 2019 · 8,722 accessesView PDFCite