Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

511 results for “model parameters”
Set a search alert
Research ArticleOpen accessIn the abstractA Fuzzy Decision Support Model for Cropland Recommendation of Food Cropping in IndonesiaDitdit Nugeraha Utama, Alvali Zaqi Taufan, Al Ghifari Hartzani et al.Indonesia has an incredibly wide area for agriculture. The agriculture area in Indonesia has specific characteristic for each area (e.g., water capacity, land porosity, land height, etc.,). Furthermore, food crop is the most plant planted in Indonesia; rice, corn, red bean, green bean are some important food crops. The study aims to create a Decision Support Model based on fuzzy … …Journal of Computer Science, Vol. 16, Issue 4 · 29 Apr 2020 · 7,504 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Method to Predict Processor Performance by Modeling Different Architecture ParametersJoseph IssaPredicting processor throughput and performance is one of the essential aspects of computer architecture. It is crucial to model processor performance behavior for future architectures based on the existing data set. Modeling processor performance for a given workload enables architects to enhance processor features to meet specific performance targets for a given benchmark. Developing an estimation method to predict performance … …Journal of Computer Science, Vol. 16, Issue 4 · 22 Apr 2020 · 7,317 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 · 6,424 accessesView PDFCite
Review ArticleOpen accessIn the abstractOptimization of Red Sorghum (Sorghum bicolor (L.) Moench) Malt Mashing Using Response Surface MethodologyArthur Kapepa Amisi et al.The Response Surface Methodology (RSM) was used to optimize the Released Glucose Equivalent during red sorghum malt mashing. Three parameters were tested: the β-amylase (EC 3.2.1.2) temperature level (min value = 62°C and max value = 63°C, TB), the α-amylase (EC 3.2.1.1) temperature level (min value = 72.5 and max value = 77.5°C, TA) and the duration of each stage … …American Journal of Applied Sciences, Vol. 21, Issue 1 · 28 Nov 2024 · 8,092 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Extended Version of the Fuzzy-Euclidean Intelligent Fitness Model (FEIFM) Implementation for Selecting Personal VehicleCalvin Chang, Edwin, Ditdit Nugeraha UtamaIndeed, intelligent model is a sub-domain in computer science that its purposes utilized in numerous pieces of reality. Particularly in case of automotive industry, to select the most appropriate personal vehicle is challenging for the customers. The challenge was taken as a main problem of this study. In this research, the reasonableness is characterized by the customer parameters which portray … …Journal of Computer Science, Vol. 15, Issue 8 · 9 Aug 2019 · 7,623 accessesView PDFCite
Research ArticleOpen accessIn the abstractSubset ARMA Model Identification for Monthly Electricity Consumption DataAmaal El Sayed Abd El Ghany MubarakSubset models can always be highly influential in series analysis, particularly when the data demonstrate a sort of form in periodic behavior with miscellaneous natural period's ranges, specifically; days, weeks, months and years. Subset models can also be effective as they let the number of parameters lower allowing only the really needed ones to be present in the model. Though … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 8 Mar 2019 · 7,140 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Extension of the Lomax Distribution with Statistical Properties and Applications to Failure and Service Times Data SetsMohamed K.A. RefaieIn this work, we introduce and study a new alternative Lomax model. The maximum likelihood method is used to estimate the unknown model parameters. We show empirically the importance and wide flexibility of the new model in modeling two types of failure times data sets. The new model is much better than the gamma Lomax, exponentiated Lomax, beta Lomax and … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 2 Feb 2019 · 7,570 accessesView PDFCite
Review ArticleOpen accessIn the abstractVisualization of Data Mining Techniques for the Prediction of Breast Cancer with High Accuracy RatesVasudev Sharma, Raj Kumar Rajasekaran, Shreya BadhrinarayananBreast cancer is one of the leading causes of death in women worldwide. Around one in 30 women are affected by breast cancer. Mammography has helped in detecting breast cancer in the early stages which have reduced mortality. The diagnosis of breast cancer is dependent on a variety of parameters. In this paper, we aim to create the best model … …Journal of Computer Science, Vol. 15, Issue 1 · 21 Jan 2019 · 8,948 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Extension of the Burr Type XII DistributionMohamed K.A. RefaieIn this study, a new Burr XII distribution is defined and studied. Various structural mathematical properties of the proposed model are investigated. The maximum likelihood method is used to estimate the model parameters. We assess the performance of the MLEs of the new distribution with respect to sample size n. The assessment was based on a simulation study. The new … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 3 Jan 2019 · 6,744 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmpowering Small Language Models With Chain of Thought and Parameter Efficient Fine Tuning for Efficient Deep ReasoningAryan Raina, Shiwani Gupta, Jagruti Jadhav et al.Small Language Models (SLMs) run faster and fit on modest hardware, yet solving multi-step logic problems has traditionally been difficult for them. This work investigates a systematic, multi-model framework that combines Chain-of-Thought (CoT) prompting with Low-Rank Adaptation (LoRA) parameter-efficient fine-tuning, and measures the contribution of each component independently. We evaluate three SLMs (TinyLlama-1.1B, Phi-3-mini-4k-instruct, and Qwen2.5-1.5B) using 1,164 training samples … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 862 accessesView PDFCite