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InvestigationOpen accessPhrase in the titleComparison of Green Roof Model Predictions with Experimental DataSergio Quezada-García, Manuela Azucena Escobedo-Izquierdo, Juan José Ambriz-García et al.In this study, the results of a green roof model are presented and compared with experimental data. Good agreement between simulation and experiment were found for different experimental conditions that were carried out in a controlled environment laboratory. The study of green roof heat transfer processes is important because it allows a better thermal design in buildings; the use of … …Energy Research Journal, Vol. 6, Issue 1 · 14 Jul 2015 · 7,225 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDevelopment of Big Data Classifier for Biomedicine Early Diagnosis: An Experimental Approach Using Machine Learning MethodsMa Beth Solas Concepcion, Bobby Dioquino Gerardo, Frank Ibañez Elijorde et al.In the fast-phase world, data availability is abundant due to a rapid adaptation increase of big data technologies. Large amounts of data have been generated and collected at an unprecedented speed and scale, introducing a revolution in medical research practices for biomedicine informatics. Thus, there is an immense demand for statistically rigorous approaches, especially in the medical diagnosis discipline. Therefore, … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 5,510 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDistributed and Parallel Decision Forest for Human Activities Prediction: Experimental Analysis on HAR-Smartphones DatasetBudi Padmaja, Venkata Rama Prasad Vaddella, Kota Venkata Naga SunithaSensor-based human motion detection requires the subtle amount of knowledge about various human activities from fitted sensor observations and readings. The prevalent pattern recognition methodologies have made immense progress over recent years. Nonetheless, these kind of methods usually rely on the particular heuristic variable extraction, which could inhibit generalization realization. This paper presents a distributed and parallel decision forest approach … …Journal of Computer Science, Vol. 15, Issue 5 · 11 May 2019 · 7,392 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA General Formula for Ion Concentration-Dependent Electrical Conductivities in Polymer ElectrolytesMahardika Prasetya Aji, Masturi, Satria Bijaksana et al.Problem statement: The aim of this study is to develop a model for describing the effect of ion concentration on the electrical conductivity of polymer electrolytes by considering two mechanisms simultaneously: Enhancements of ion concentration and amorphous phase. Approach: The problems based on new observations in polymer electrolyte when ion concentration in the polymer electrolytes was increased, both the fraction … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 30 Mar 2012 · 8,616 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRectangular Storm Sewer Design Under Equal Sediment MobilityJaber AlmedeijRectangular storm sewers are conduits delivering water to outfall locations and have sizes that are typically larger than standard pipes, by which they become subject to more sediment deposits during operation and thus require higher flow strengths to maintain the bed clean. This study suggests a design procedure of self-cleansing rectangular sewers based on maintaining a lower limit of Shields … …American Journal of Environmental Sciences, Vol. 8, Issue 4 · 19 Jun 2012 · 7,752 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Automatic Topic Identification AlgorithmHossein Shahsavand Baghdadi, Bali Ranaivo-MalançonProblem statement: Topic is a stream of words which stands for the content of a text. Knowing the topic of a document can help people to be aware from its content and facilitate their searching process. Approach: This paper proposes an automatic algorithm to identify the topic for a textual document based on the chunks corresponding to each sentences in … …Journal of Computer Science, Vol. 7, Issue 9 · 23 Jul 2011 · 6,906 accessesView PDFCite
Research ArticleOpen accessIn the keywordsObservational Study of Wind Shear in Northeastern BrazilFernando R. Martins, André R. Gonçalves, Enio B. PereiraThe wind energy share is growing fast in Brazil and a better understanding of wind speed vertical profiles is essential for accurate power density estimates. The wind shear is highly variable in space and time, being influenced by surface layer stability. Studies concerning wind vertical profiles may have a significant contribution to the Brazilian energy sector. However, wind observational data … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 3 · 12 Mar 2016 · 8,213 accessesView PDFCite
Research NotesOpen accessIn the abstractMetadata Stewardship and Quality in Telecom SectorBhola Gan Chaudhuri, Shalli RaniThe spread of the telecom network infrastructure, constellations of satellites and the use of the Internet of Things (IoT) have brought about unprecedented volumes of heterogeneous information which facilitate the contemporary monitoring systems of the environment and the earth. Metadata control and information quality have also become significant in the telecom industry in controlling data reliably, enhancing data services, and … …Journal of Computer Science, Vol. 22, Issue 10 · 22 Oct 2026 · 335 accessesView PDFCite
Research ArticleOpen accessIn the abstractExplainability Aware Heterogeneous Temporal Graph Transformer for Automated Genetic Disorder Detection from Genomic DataPuvaneswari Subramaniapillai, Indirani Govindasamy, Revathy GurumurthyGenetic disorders affect millions worldwide, posing major challenges for accurate diagnosis and effective treatments. New developments in genomic technologies, especially Next-Generation Sequencing (NGS), have enhanced the classification of genetic modification and improved diagnostic abilities. Moreover, the Machine Learning (ML) and Deep Learning (DL) methods emerged as efficient tools for evaluating the intricate genomic data and determining the patterns, which can … …Journal of Computer Science, Vol. 22, Issue 11 · 14 Oct 2026 · 566 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphological Changes in Brain Tissue During Experimental HypoxiaAizhan Mussayeva, Ulbossin Kozhaniyazova, Laura Koibasova et al.The extensive application of hypoxic training to enhance cerebral circulation highlights its significant role in effectively realizing the therapeutic and health-promoting benefits of this method. The discrepancy between the data on the features of cerebral circulation and cellular metabolism in brain tissues during circulatory hypoxia and significant interest in the physiological patterns of the integrative response of the body determined … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 20 Feb 2026 · 1,552 accessesView PDFCite