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45 results for “test sequence”

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Research ArticleOpen accessIn the keywordsA Control-Oriented Coverage Metric and its Evaluation for Hardware DesignsShireesh Verma, Kiran Ramineni, Ian G. HarrisProblem statement: Dynamic verification, the use of simulation to determine design correctness, is widely used due to its tractability for large hardware designs. A serious limitation of dynamic techniques is the difficulty in determining whether or not a test sequence is sufficient to detect all likely design errors. Coverage metrics are used to address this problem by providing a set … …Journal of Computer Science, Vol. 5, Issue 4 · 30 Apr 2009 · 7,531 accessesView PDFCite
Research ArticleOpen accessIn the abstractOnline Handwritten Physics Expression Recognition Using a CRNN-LSTM ApproachUjwala Pritam Kolte, Sachin Arun NaikOptical Character Recognition (OCR) is crucial for identifying and extracting information from scientific documents. However, recognizing online handwritten physics expressions remains a relatively unexplored area of research. In the existing literature, most of the researchers worked on CNN classification to identify mathematical expressions. The traditional Convolution Neural Network (CNN) has limitations for extracting sequential data. This study proposes a CRNN … …Journal of Computer Science, Vol. 21, Issue 2 · 31 Dec 2024 · 4,821 accessesView PDFCite
Research ArticleOpen accessIn the abstractCharacteristics of Antagonistic Activity of Two Trichoderma Species New to Kazakhstan Against Soil PathogensYelena Rakhimova, Assem Assylbek, Lyazzat Kyzmetova et al.The high efficiency of representatives of the Trichoderma genus in suppressing a wide range of plant pathogens contributes to the conduct of large-scale research on the search for local strains. The purpose of this study is to characterize the antagonistic activity of two Trichoderma species new to Kazakhstan (T. pararogersonii and T. rossicum) isolated from the rhizosphere of Picea schrenkiana … …OnLine Journal of Biological Sciences, Vol. 23, Issue 4 · 17 Oct 2023 · 4,461 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting of Multistep Multivariate Financial Data Through GSO Algorithm Infused Vanilla LSTM ModelNikhitha Pai, Ilango Velchamy, Nithya B RameshPredicting time series in the financial domain requires using models that can do sequence processing tasks. One such model is the LSTM model which belongs to the family of deep learning networks. The performance measure of LSTM in a regression task is to bring down the error in the predicted values. In this study, a novel fused LSTM model integrating … …Journal of Computer Science, Vol. 19, Issue 7 · 10 Jul 2023 · 6,077 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiomolecular Identification of Bacteria Endophytic From Betel Leaf in Jambi City Forest Park Area as Antibiotic-Producing PotentialArzita, Miranti Sari Fitriani, Nyimas Myrna Elsa Fathia et al.Background and Objective: Muhammad Sabki City Forest Park in Jambi City has three types of betel plants that contain endophytic bacteria. In 2021, six isolates of endophytic bacteria with the potential for producing antibiotics (halo zone above 10 mm) have been isolated, which can kill Gram-negative (Escherichia coli) and Gram-positive (Staphylococcus aureus) test bacteria. that are 5 (five) isolates derived … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 15 Feb 2026 · 1,238 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Exploration Strategy of an Automated Android GUI Testing Tool based on the Q-Learning Algorithm by Selecting Potential ActionsGoh Kwang Yi, Salmi Binti Baharom, Jamilah DinResearchers have proposed automated testing tools to minimise the effort and resources spent on testing GUIs. A relatively simple strategy employed by the proposed tools thus far is the observe-select-execute approach, where all of a GUI’s actions on its current state are observed, one action is selected and the selected action is executed on the software. The strategy’s key function … …Journal of Computer Science, Vol. 18, Issue 2 · 2 Mar 2022 · 6,787 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Support and Resistance Indicators for Stock Market with Fibonacci Sequence in Long Short-Term MemoryThambusamy Velmurugan, Thiruvalluvan IndhumathyPredictive data analytics is a branch of data analytics where models are designed that effectively interpret; anticipate outcomes by analyzing present data to make predictions about future. One of the major attributes for prediction is time and there have been a considerable number of time series analytical models that are used for forecasting. Long Short-Term Memory (LSTM) is a deep … …Journal of Computer Science, Vol. 16, Issue 10 · 28 Oct 2020 · 7,323 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Seaweed Extracts on Rice Growth and Tolerance to Salinity, Drought and Blast (Magnaporthe oryzae)Mir Sayeada Alam, Jannatun Nayeema, S. M. Rafiquzzaman, Motaher HossainRice, a primary staple, confronts a multitude of biotic and abiotic stresses. Drought and salinity, exacerbated by climate change and blast disease caused by Magnaporthe oryzae, significantly contribute to yield losses. To tackle the problems, two types of seaweeds-one known as Hypnea musciformis and another unknown-were collected from Saint Martin, Cox's Bazar, Bangladesh and then examined for the potential of … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 31 May 2024 · 6,515 accessesView PDFCite
Research ArticleOpen accessIn the abstractEscalating SVM-Efficiency by Sequential QP LP and Slack Variable AnalysisAmit Kumar Kundu, Rezaul Karim, Ali Ahmed AveSupport Vector Machine (SVM) is a highly attractive algorithm among many machine learning models due to its generalization power and classification performance based on sound mathematical formulation being convex that offers global minimum. However, despite being sparse, its high classification cost from kernel execution with Support Vectors (SVs) reduces the user's interest when there are hard computational constraints in the … …Journal of Computer Science, Vol. 19, Issue 10 · 6 Sep 2023 · 5,917 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification and Pathogenicity of the Soybean Root Rot Pathogen in Arid ConditionsNurlan Kuldybayev, Yerlan Dutbayev, Olga Konstantinova et al.Soy is an important oilseed crop in Kazakhstan. However, its yield is significantly reduced due to an increase in the development of fungal diseases with soil infection. This study aims to identify the root rot pathogen in soybean varieties in Western Kazakhstan and assess its pathogenicity. Samples of soybean roots to determine the root rot pathogen were selected at the … …OnLine Journal of Biological Sciences, Vol. 23, Issue 2 · 14 Apr 2023 · 5,528 accessesView PDFCite