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181 articles for “benchmark”
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Research ArticleOpen accessEvery word in the titleUzNER: A Human-Reviewed Benchmark for Uzbek Named Entity Recognition With Gazetteer-Augmented Transformer ModelsBobur Saidov, Vladimir Barakhnin et al.UzNER-100K is a large-scale human-reviewed benchmark for Uzbek named entity recognition with 100,000 training sentences, 18 fine-grained entity types and 200,083 entity mentions across 114,269 sentences in total. The corpus was constructed through an LLM-assisted, expert-reviewed annotation pipeline that achieved strong reliability on the main audit subset while substantially reducing corpus-construction effort. The benchmark includes a standard test split, a … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,308 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Effective Approach for Benchmarking ImplementationB. M. Deros, J. Tan, M. N. Ab. Rahman, N. A.Q.M. DaudProblem statement: The purpose of this study is to present a benchmarking guideline, conceptual framework and computerized mini program to assists companies achieve better performance in terms of quality, cost, delivery, supply chain and eventually increase their competitiveness in the market. The study begins with literature review on benchmarking definition, barriers and advantages from the implementation and the study of … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 2 · 13 Jul 2011 · 7,881 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBenchmarking in the Academic Departments using Data Envelopment AnalysisMohammad Mahallati Rayeni, Faranak Hosseinzadeh SaljooghiProblem statement: The purpose of this study is to analyze efficiency and benchmarking using Data Envelopment Analysis (DEA) in departments of University. Benchmarking is a process of defining valid measures of performance comparison among peer decision making units (DMUs), using them to determine the relative positions of the peer DMUs and, ultimately, establishing a standard of excellence. Approach: DEA can … …American Journal of Applied Sciences, Vol. 7, Issue 11 · 8 Nov 2010 · 7,172 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBenchmarking Lightweight Deep Learning Models for Field Based Sorghum Leaf Disease DetectionPrince Daughin Ngqabutho NcubeSorghum is a climate-resilient cereal crop central to food and livelihood security across Southern Africa, yet its productivity is frequently reduced by foliar diseases that smallholder farmers struggle to diagnose reliably in the field. While deep learning has demonstrated strong potential for automated plant disease identification, sorghum remains underrepresented in the literature, and no prior study has provided a comprehensive, … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 535 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluation of Various Compiler Optimization Techniques Related to Mibench Benchmark ApplicationsJeyaraj Andrews, Thangappan SasikalaTuning compiler optimization for a given application of particular computer architecture is not an easy task, because modern computer architecture reaches higher levels of compiler optimization. These modern compilers usually provide a larger number of optimization techniques. By applying all these techniques to a given application degrade the program performance as well as more time consuming. The performance of the … …Journal of Computer Science, Vol. 9, Issue 6 · 6 Jun 2013 · 7,219 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimization of Test Scheduling and Test Access for ITC-02 SOC Benchmark CircuitsP. Sakthivel, R. Delhi Babu, P. NarayanasamyProblem statement: This study presented the optimized test scheduling and test access for ITC-02 SOC benchmark circuits using genetic algorithm. In the scheduling procedure of SOC, scheduling problem was formulated as a sequence of two problems and solved. Approach: Test access mechanism width was partitioned into two and three partitions and the applications of test vectors and test vector assignments … …Journal of Computer Science, Vol. 5, Issue 4 · 30 Apr 2009 · 7,315 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleInitial Hybrid Method for Analyzing Software Estimation, Benchmarking and Risk Assessment Using Design of SoftwareJ. Frank Vijay, C. ManoharanProblem statement: Estimation models in software engineering are used to predict some important attributes of future entities such as development effort, software reliability and programmers productivity. Among these models, those estimating software effort have motivated considerable research in recent years. Approach: In this study we discussed an available work on the effort estimation methods and also proposed a hybrid method … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 6,595 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Traveling Salesman Problem as a Benchmark Test for a Social-Based Genetic AlgorithmN. A. AL-Madi, A. T. KhaderPresent research, showed Traveling Salesman Problem (TSP) to compare values and results concerning the averages and best fits of both, Simple Standard Genetic Algorithm (SGA) and a new approach of Genetic Algorithms named Social-Based Genetic Algorithm (SBGA). Results from TSP test on Social-Based Genetic Algorithms (SBGA) were presented. Results were encouraging in Social-Based Genetic Algorithms (SBGA) performs better in finding … …Journal of Computer Science, Vol. 4, Issue 10 · 31 Oct 2008 · 6,843 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleBM3D Outperforms Major Benchmarks in Denoising: An Argument in FavorBhawna Goyal, Ayush Dogra, Apoorav Maulik SharmaThe inherent physical limitations of imaging sensors lead to prevalence of additive white Gaussian noise in images which deters the feature extraction and analysis. There exists a number of denoising algorithms in literature, demonstrating their efficacy for removing noise while preserving feature details. At the crossing of functional and statistical analysis, one argues with new methods being devised quite frequently, … …Journal of Computer Science, Vol. 16, Issue 6 · 1 Jul 2020 · 7,577 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUsing Feature Selection as Accuracy Benchmarking in Clinical Data MiningJafreen Hossain, Nor FazlidaMohdSani, Aida Mustapha, Lilly SurianiAffendeyAutomated prediction of new patients’ disease diagnosis based on data mining analysis on historical data is proven to be an extremely useful tool in the medical innovation. There are several studies focusing on this particular aspect. The objective of this study is two-fold. First, we look into three different classifiers, which are the Naïve Bayes, Multilayer Perceptron (MLP) and Decision … …Journal of Computer Science, Vol. 9, Issue 7 · 20 Jun 2013 · 7,460 accessesView PDFCite