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88 results for “object class”
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Research ArticleOpen accessIn the abstractDataset of Selected Medicinal Plant Species of the Genus Brachylaena: A Comparative Application of Deep Learning Models for Plant Leaf RecognitionAvuya Deyi, Arnaud Nguembang Fadja, Eleonora Deborah Goosen et al.Since several active pharmaceutical ingredients are sourced from medicinal plants, identifying and classifying these plants are generally a valuable and essential task during the drug manufacturing process. For many years, identifying and classifying those plants have been exclusively done by experts in the domain, such as botanists and herbarium curators. Recently, powerful computer vision technologies, using deep learning or deep … …Journal of Computer Science, Vol. 19, Issue 11 · 17 Oct 2023 · 6,231 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Approaches for Brain Tumor Diagnosis using Fused Layer AcceleratorMitrabinda Khuntia, Prabhat Kumar Sahu, Swagatika DeviDeep Convolutional Neural Networks (DCNNs) are an emerging field in biomedical processing. Tumor classification is a key stage in the pathology analysis process, and deep learning algorithms for brain tumor categorization have recently shown promising results. However, these approaches often require more storage and more expensive training procedures to input a large number of training variables. To address this issue, … …Journal of Computer Science, Vol. 19, Issue 2 · 19 Jan 2023 · 5,791 accessesView PDFCite
Research ArticleOpen accessIn the abstractANALISIS OF THE NONLINEAR DISTRIBUTED CONTROL SYSTEM'S SUSTAINABILITYAlexander B. Chernyshev, Karina V. Martirosyan, Alexander V. MartirosyanSystems' stability is the topical issue of control systems' development province. In this study the research of methodology of the nonlinear distributed control systems' stability assessment is conducted. Research of the standard distributed links' frequency surfaces is executed, limit characteristics of the parameters influencing by sight of spatial hodograph are investigated. The purpose of the work is to present the … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 11 Jul 2014 · 6,712 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHE NAME PATHWAY, AN ELEMENTARY COGNITIVE MODEL OF NAMES AS SENSORY REPRESENTATIONSS. Balachandra DassNames function as sensory representations, but the relationship between names and sensory stimuli/responses remains unclear. This study proposes the existence of a class of stimulus-response pathways, the name pathway, where a name is a reproducible and communicable symbol and the name pathway is one where the same name is both the stimulus and the response. Once a stimulus-response &#34name&#34 pathway … …Neuroscience International, Vol. 5, Issue 1 · 3 Apr 2014 · 7,254 accessesView PDFCite
Research ArticleOpen accessIn the abstractpmonpp: Pthread Monitor PreprocessorJinhua GuoMonitors have become an exceedingly important synchronization mechanism because they are a natural generalization of the object-oriented programming. A monitor construct encapsulates private data with public methods to operate on that data. Although the Pthread library contains dozens of functions for threading and synchronization, it does not provide direct support for the monitor. Students must explicitly provide mutual exclusion around … …Journal of Computer Science, Vol. 2, Issue 10 · 31 Oct 2006 · 6,750 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeisser’s Cycle of Perception: Formal Representation and Practical ImplementationIgor A. Chimir, Waheeb A. Abu-Dawwas, Mark A. HorneyThis article presents results of a theoretical investigation of the application of the object-oriented Unified Modelling Language to a formal description of Neisser’s cycle of perception. The article includes class diagrams, modelling the spatial structure of Neisser’s cycle of perception and demonstrates how these formal descriptions can be applied to the area of modelling the problem-independent dialogue process. The basis … …Journal of Computer Science, Vol. 1, Issue 2 · 19 Oct 2005 · 5,109 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Transformed and Geometrically Distorted Images using Convolutional Neural NetworkSanad Aburass, Ammar Huneiti, Mohammad Belal Al-ZoubiConvolutionalNeural Network is a deep learning method that is used in many image-relatedapplications, such as image recognition and classification, it has achievedgreat performance in these fields, but it still suffers from some shortcomings.One of these shortcomings is not being able to be invariant to the input datadue to some image transformations like translation, rotation, scaling, andgeometric distortions such as skewness, … …Journal of Computer Science, Vol. 18, Issue 8 · 26 Aug 2022 · 6,145 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigation of Landform and Sunlight in Zayandeh Roud BasinKaveh Ostad-Ali-Askari, Maryam Marani-BarzaniSolar energy is as of energy that it is significant in human activities. Human activities can use in agricultures, factories, industrial and residential plan. In other hand, solar energy is as renewable energy can help to have safety environment. This study tries to say significant of identification of landforms and getting cheap and safe energy. In this study, classification of … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 4 · 15 Dec 2021 · 5,885 accessesView PDFCite
Research ArticleOpen accessIn the abstractLand-Cover Removal and Gully Development in Southeast Nigeria: A 30-Year Analysis with Pixel and OBIA Approaches in JuxtapositionSylvanus IroIn this study a study of gully erosion in southeast Nigeria is presented. The study of gully development on a regional scale is currently undermined by the inherent costs associated with consistent field monitoring and the lack of historic measurements to perform time series analysis. As a result, there are very few studies which implement long term analyses of gullies … …American Journal of Environmental Sciences, Vol. 16, Issue 2 · 9 Jun 2020 · 7,389 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Counting for Live and Dead Cells from Trypan Blue-Stained Images by Image Analysis Based on Adaptive K-Means ClusteringSu Mon Aung, Kanyanatt Kanokwiroon, Tonghathai Phairatana, Surapong ChatpunComputer-assisted image analysis can be employed to reduce the time consumed in the routine task such as cell counting. This study aimed to establish a method to perform this routine task based on an image analysis to automatically count live and dead cells after staining with trypan blue dye. Gray scale conversion and morphological operation were applied to the input … …Journal of Computer Science, Vol. 15, Issue 2 · 1 Mar 2019 · 8,571 accessesView PDFCite