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201 results for “model selection”
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Research ArticleOpen accessIn the abstractDesign of Sustainable Relief Housing in Ethiopia: An Implementation of Cradle to Cradle Design in Earthbag ConstructionBrooke Barnes, Huantian Cao, Theodore Drab, Jason PearsonProblem statement: Urbanization in Ethiopia resulted in urban poverty and homelessness. In this study, a sustainable relief housing prototype that aided in sheltering homeless citizens was designed. To avoid repeating errors in urban development such as unsustainable resource consumption, it was necessary to look beyond traditional construction materials and methods. Approach: This design applied cradle to cradle design model to … …American Journal of Environmental Sciences, Vol. 5, Issue 2 · 30 Apr 2009 · 7,292 accessesView PDFCite
Research ArticleOpen accessIn the abstractBayesian Models for Time Series with Covariates, Trend, Seasonality, Autoregression and OutliersPitsanu Tongkhow, Nantachai KantananthaBayesian methods furnish an attractive approach to time series data analysis. This article proposes the forecasting models that can detect trend, seasonality, auto regression and outliers in time series data related to some covariates. Cumulative Weibull distribution functions for trend, dummy variables for seasonality, binary selections for outliers and latent autoregression for autocorrelated time series data are used for the … …Journal of Computer Science, Vol. 9, Issue 3 · 16 Apr 2013 · 6,662 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordBreeding Progress in Mugalzhar Horses: The Irtysh Type as a Model for Meat Production EfficiencyAkimbekov Amin, Uskenov Rashit, Nurgulsim Kaster et al.The Mugalzhar horse breed holds significant value for meat production in Kazakhstan. Developed through targeted selection, the new Irtysh stud type demonstrates outstanding adaptation and productivity, with stallions reaching an average live weight of 486.1 kg and mares 463.4 kg, an increase of up to 73 kg compared to the original group. The coefficient of variation for live weight and … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 3 · 29 Nov 2025 · 2,617 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordThird-Party Logistic Selection for Logistic Aggregator Company using Multi-Criteria Decision MakingMuhammad Khakim Hidayad, Ditdit Nugeraha UtamaThe customer of AggregatorCompany for Logistics (ACL) faces a problem when creating an order in the aggregatorlogistics platform. They have difficulty making an order as there are a lot ofthird-Party Logistic (3PL) alternatives available but they do not have anyreferences for which 3PL they should select. This study helps the customer tochoose the best 3PL by determining the suitable criteria. … …Journal of Computer Science, Vol. 18, Issue 9 · 9 Sep 2022 · 5,808 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Explainable AI (XAI) Framework for Intrusion Detection and Identification to Secure IoT NetworksVibhor Harit, Rajeev Dahiya, Umang Garg, Anil KumarThe Internet of Things (IoT) encompasses a wide range of applications from wearable devices to smart homes, as well as industrial automation and smart cities. As IoT networks and devices continue to grow rapidly, security has become crucial. There are many techniques utilized to provide security aspects in IoT networks. These security aspects focus on mitigating risks and fixing vulnerabilities … …Journal of Computer Science, Vol. 22, Issue 7 · 23 Jul 2026 · 1,014 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPrioritized Experience Replay-Based Deep Deterministic Policy Gradient for Reliable Path Selection in SDN-IoT NetworksGaurav Kumar, G. S. Girisha, N. ShamanthRouting optimization is becoming prominent in Software-Defined Networks (SDN) due to the exponential growth of network traffic demands and the requirement for Quality of Service (QoS). However, reliable routing that satisfies the QoS requirements, such as end-to-end delay, packet loss, and bandwidth, remains a difficult task in SDN. To overcome this limitation, a Deep Reinforcement Learning (DRL)-based Prioritized Experience Replay-based … …Journal of Computer Science, Vol. 22, Issue 8 · 4 Aug 2026 · 1,007 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordGIS-Based Optimal Site Selection for Installation of Large-Scale Smart Grid-Connected Photovoltaic (PV) Power Plants in Selangor, MalaysiaSabo Mahmoud Lurwan, Mohammed Oludare Idrees, Goma Bedawi Ahmed et al.This study presents a GIS-based model to identify optimal sites to install large-scale smart grid-connected Photovoltaic (PV) power plants. Input datasets include digital elevation model, road networks, grid lines and daily average solar radiation. Using multi-criteria decision-making approach, we set constraining conditions for slope, proximity to the road, proximity to grid lines, solar radiation and land use to optimize the … …American Journal of Applied Sciences, Vol. 14, Issue 1 · 30 Jan 2017 · 8,793 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOnline ML Streaming-Based Leading Ensemble Classifier for Intrusion Detection in IoTNeeraj Sharma, Neelu NihalaniIn the present decade, preventing IoT networks from malicious attacks and to ensure the privacy and integrity of data by strengthening their cybersecurity perspective is a critical concern. Traditional methods alone are not sufficient to detect multiple attacks. IDS-based system plays a crucial role to maintain security due to continuous expanding nature of IoT networks. Traditional methods alone are often … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 2,086 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordModel Classification for Predicting the Post-Translational Modification (PTM) Glycosylation in Sequence O Using an Extreme Gradient Boosting AlgorithmDamayanti, Sutyarso et al.Post Translational Modification (PTM) is an important mechanism involved in regulating protein function. Post-translational modification refers to the addition of covalent and enzymatic modifications of proteins in protein biosynthesis, which has an important role in modifying protein function and regulating gene expression. One of the post-translational modifications is glycosylation. Glycosylation is the addition of a sugar group to a protein … …Journal of Computer Science, Vol. 20, Issue 7 · 29 Apr 2024 · 5,560 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Data Mining Model for Students’ Choice of College Major Based on Rough Set TheoryLuai Al-ShalabiLiterature is focusing on identifying factors that influence students’ initial choice of major and few have studied students’ involvements after registration in a selected major and this study is one of the few. This study aims to determine the important factors that influence high school students’ choice of major based on data mining techniques. A questionnaire was designed to collect … …Journal of Computer Science, Vol. 15, Issue 8 · 22 Aug 2019 · 7,831 accessesView PDFCite