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582 results for “Improving”
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Research ArticleOpen accessEvery word in the titleA Short-term Management Strategy for Improving Transit Network EfficiencyAmir Samimi, Hedayat Z. Aashtiani, Abolfazl (Kouros) MohammadianImproving the service quality of the public transport systems has always been an interesting research area in the field of transportation planning. Public transit system expansion and enhancement has been known as a recognized way to improve congested metropolitan areas. In order to make a transit system more attractive to people, both long and short term management strategies should be … …American Journal of Applied Sciences, Vol. 6, Issue 2 · 28 Feb 2009 · 7,208 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproving the Quality of Service Guarantee in an Asynchronous Transfer Mode (ATM) NetworkFrancis Joseph Ogwu, Mohammad Talib, Ganiyu Adesola AderounmuThis study presents a technique for improving the quality of service (QoS ) guarantee in an ATM network. In the proposed model, it was assumed that high priority traffic have been allocated a switch resource to guarantee a given QoS and low priority cells are allowed to enter the buffer, to improve the exploitation of reserved resources. The proposed technique … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 6,403 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA New Architecture for Improving Location Management in PCS NetworksHaidar Safa, Samuel PierreThis study proposes a new architecture for improving the location management in PCS networks. The proposed architecture employs several HLRs as opposed to one HLR in the IS-41 and GSM models. Indeed, the new architecture associates with each MU two types of HLRs ; a resident HLR that serves the location areas in which the MU often resides and a … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 6,781 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproving the Quality of Ceramic and Cemented Carbide Cutting Inserts by Diamond GrindingTareq Ahmad Abu Shreehah, Rasheed Abdulateef AbdullahThe machining of hardened steel and other difficult-to-cut materials require high quality and progressive cutting tools to meet the growing requirements for increasing productivity, improving tool life and quality of the cutting process. This study deals with an experimental investigation on the quality improvement by diamond grinding of ceramic and cemented carbide cutting inserts, comparing it with conventional batch produced … …American Journal of Applied Sciences, Vol. 2, Issue 5 · 31 May 2005 · 7,194 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproving Clustering Robustness through Fuzzy Ensemble of K-Means and Mean ShiftLNC. Prakash K., Palamakula Ramesh Babu, Shaik Thaseentaj et al.Ensemble clustering has emerged as a powerful strategy to improve the robustness and accuracy of unsupervised learning, particularly when individual algorithms struggle with noisy, heterogeneous, or high-dimensional data. This study introduces a fuzzy-based ensemble approach that integrates the complementary strengths of K-Means and Mean Shift clustering, followed by fuzzy membership assignment for data points that remain ambiguous. The inclusion of … …Journal of Computer Science, Vol. 22, Issue 5 · 20 May 2026 · 1,257 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleImproving Classification and Clustering Accuracy of Palembang Duku Fruit Quality via CNN-K-Means IntegrationHenny Hartono, Francka Sakti Lee, Herlina Herlina et al.Duku Palembang (Lansium domesticum Corr.) is a leading commodity from South Sumatra with high economic value. The quality assessment process for duku has traditionally relied on manual visual inspection, which is subjective, time-consuming, and inconsistent, especially at large production scales. This study proposes an integrative framework combining Convolutional Neural Network (CNN) and K-Means Clustering to improve the accuracy of classification … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 8 May 2026 · 1,475 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproving Diabetes Risk Prediction Using Ensemble Boosting and SMOTE-Based Class BalancingKittipol Wisaeng, Pankom Sriboonlue, Benchalak MuangmeesriAccurate diabetes prediction is vital for early intervention, optimized resource allocation, and minimizing long-term complications. This study presents a comparative evaluation of traditional and advanced machine learning models for diabetes classification using a structured clinical dataset. Seven baseline algorithms were assessed against five advanced ensemble methods: CatBoost, LightGBM, XGBoost, Voting Ensemble, and Stacking Ensemble. To improve algorithm learning, the Synthetic … …Journal of Computer Science, Vol. 22, Issue 1 · 1 Feb 2026 · 1,976 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproving the Eastern Arabic Hand Written Digits Recognition Using Deep LearningHamdy Morsy, Hashim M. Hasanien et al.Convolutional neural networks CNNs or simply deep learning was designed for the challenging of object recognition such as digits, characters and even objects that can be classified. The deep convolutional networks are designed to be trained through using a large dataset of the classes. The degree of complexity of recognizing handwritten digits are different from person to person and even … …Journal of Computer Science, Vol. 21, Issue 6 · 27 May 2025 · 4,930 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproving the Technology for Assessing the Semen of Beige Karakul SheepAigerim Turekyzy Bigarayeva, Nuradin Alibayev, Arkadiy Kanurovich Natyrov et al.The article presents the research results on the effective use of seed products from breeding rams in reproduction for the conservation and targeted propagation of genetic resources of Karakul sheep of rare beige color, which are on the verge of extinction. Selected freshly obtained ejaculates from 6 beige rams of the Karakul breed in the amount of 32 samples, meeting … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 17 Feb 2025 · 4,501 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproving the Detection of Mask-Wearing Mistakes by Deep LearningChahinez Mérièm BentaouzaThis study focuses on the detection of wearing mask errors after machine learning by a Multi-Layer Perceptron Mixer (MLP Mixer) applied to protect masks from COVID-19. To combat the spread of the COVID-19 pandemic, facemasks have become an essential accessory, so it's necessary to identify individuals who follow this health protection. In this case, the most successful face-detection method Viola-Jones … …Journal of Computer Science, Vol. 20, Issue 7 · 25 Apr 2024 · 5,195 accessesView PDFCite