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Research ArticleOpen accessIn the abstractTaxonomic Revision of the Genus Rhaponticum (Asteraceae) of KazakhstanSaule Alikhankyzy Mamyrova, Andrey Nikolayevich Kupriyanov, Anna Andreevna Ivashchenko, Serik Argynbekovich KubentayevAn overview of the genus Rhaponticum Vaill. is presented, as growing on the vast territoryof Kazakhstan. The study is based on field materials, literature and accuraterevision of herbarium materials. Data from more than 240 herbarium specimens storedin herbarium collections were analyzed: LE, AA, MW, TASH, KUZ, KG, NUR andMANG. The article provides illustrations and data on the general distribution,ecological occurrence, … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 22 Aug 2024 · 4,277 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign of Enterprise Architecture Using Zachman Framework at Private School in Center JakartaKeysia Aprilia, Francka Sakti Lee, Yemima Monica Geasela et al.Technology is currently fundamental and necessary, including in the education sector, where information technology, such as enterprise architecture, can be applied to support and facilitate school business processes. Private schools in Central Jakarta are one of the schools that utilize information technology in running their business. However, currently, schools still need to use information technology optimally, so it is necessary … …Journal of Computer Science, Vol. 20, Issue 9 · 8 Jul 2024 · 6,364 accessesView PDFCite
Research ArticleOpen accessIn the abstractManufacturing Smart Industry Perspective an OverviewAyyaswamy Kathirvel, V M Gopinath, Kathirvel Naren et al.Within the past few decades, the increasing use of advanced technology in the manufacturing industry has drawn extensive study attention from all around the world. Smart technology is technology that gives previously thought-to-be-inanimate objects cognitive awareness through the application of artificial intelligence, machine learning and big data analysis. Smart Technology (ST) involves many emerging technologies like the internet of things, … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 1 · 29 Feb 2024 · 5,403 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Efficient Thermal Conversion Technologies and HHV from Compositional Characteristics of Cassava Peelings, Plantain Peelings and Corn CobsSamomssa Inna, Oumarou Amadou Amadou, Jiokap Nono Yvette et al.The understanding of compositional characteristics permits to predict the efficient thermal conversion technologies and Higher Heating Value (HHV). Although HHV can be determined directly, many models have been proposed for HHV prediction. They are based on proximate, ultimate, and structural analysis and require much data collected. The present work assesses to predict efficient thermal conversion technologies and HHV of the … …Energy Research Journal, Vol. 13, Issue 1 · 27 Dec 2022 · 10,160 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Survey on Event Detection Models for Text Data StreamsWafa Zubair AL-Dyani, Farzana Kabir Ahmad, Siti Sakira KamaruddinEvent Detection (ED) is a study area that attracts the attention of decision-makers from various disciplines in order to help them in taking the right decision. ED has been examined on various text streams like Twitter, Facebook, Emails, Blogs, Web Forums and newswires. Many ED models have been proposed in literature. In general, ED model consists of six main phases: … …Journal of Computer Science, Vol. 16, Issue 7 · 14 Jul 2020 · 7,044 accessesView PDFCite
Research ArticleOpen accessIn the abstractProgressive Damage Modelling of Transverse Impact Behavior of Adhesively Bonded Composite JointsDimitrios Athinaios, Konstantinos Tserpes, Giannis FlorosA three-dimensional dynamic numerical model was developed, using the commercially available finite element software LS-DYNA to simulate the Low Velocity Impact (LVI) case on bonded joints consisting of woven CFRP adherents. The adhesive failure simulated using the Cohesive Zone Method (CZM), while the failures in the composite material simulated using a progressive damage material model based on Hashin’s failure criteria. … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 3 Apr 2020 · 6,428 accessesView PDFCite
Review ArticleOpen accessIn the abstractReview of Zero-Inflated Models with Missing DataT. Martin Lukusa, Shen-Ming Lee, Chin-Shang LiThe literature of count regression models covers a large scope of studies and applications that implemented simple and standard models for count response variables by using Poisson regression models, binomial regression models, negative binomial regression models, geometric regression models, or generalized Poisson regression models. These regression models have received considerable attention in various situations. Nevertheless in many fields, the distribution … …Current Research in Biostatistics, Vol. 7, Issue 1 · 31 Oct 2017 · 14,410 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Fast Access Big Data Approach for Configurable and Scalable Object Storage Enabling Mixed Fault-ToleranceCarlos Roberto Valêncio, André Francisco Morielo Caetano, Angelo Cesar Colombini et al.The progressive growth in the volume of digital data has become a technological challenge of great interest in the field of computer science. That comes because, with the spread of personal computers and networks worldwide, content generation is taking larger proportions and very different formats from what had been usual until then. To analyze and extract relevant knowledge from these … …Journal of Computer Science, Vol. 13, Issue 6 · 1 Jul 2017 · 7,895 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Threshold Based Compressive Sensing Algorithm in Wireless Sensor NetworkParnasree Chakraborty, C. ThariniWireless Sensor Networks (WSN) are comprised of spatially distributed sensor nodes, where each node contains sensors, processors and transceivers for communicating data. Regardless of the application in which the sensor network is serving, the data generated in the network eventually must be delivered to the sink. However the limited network bandwidth, frequent node/link failure along with the unreliable communication medium … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 3 Feb 2017 · 7,512 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing Temperature-Dependent Thermal Properties of Biomaterials Using Machine Learning MethodsArmaghan Shalbaftabar, Kristen Rhinehardt, Dhananjay KumarThis research utilizes machine learning models ANN, Random Forest, and Decision Tree to predict material properties of Ti-based biomaterials, including Young’s modulus, density, thermal conductivity, and specific heat at various temperatures. Data was sourced using web scraping and Plot Digitizer, validated against literature, and analyzed in Excel. The ANN model achieved strong performance, with R² = 0.980874 for TiAl and … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 12 Sep 2025 · 4,640 accessesView PDFCite