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

116 results for “Global Test”
Set a search alert
Research ArticleOpen accessIn the abstractFed-Deep CTRL (Light GBM)-Scalable, Interpretable, and Privacy-Preserving Federated Learning Framework for Wireless Intrusion Detection SystemSudaroli Vijayakumar, V. MuthumanikandanA learning-based intrusion detection system automates the understanding and reporting of network traffic information. The systems using neural networks and machine learning have demonstrated good detection accuracy, but the accuracy is entirely reliant on the type and volume of data. Additionally, there are issues with its scalability, privacy, efficiency, and interpretability. With the innovative fed-deep CTRL (light GBM) method, this … …Journal of Computer Science, Vol. 20, Issue 4 · 29 Feb 2024 · 5,321 accessesView PDFCite
Research ArticleOpen accessIn the abstractSlime Mould Reproduction: A New Optimization Algorithm for Constrained Engineering ProblemsRajalakshmi Sakthivel, Kanmani SelvaduraiIn recent explorations of biologically inspired optimization strategies, the Slime Mould Reproduction (SMR) algorithm emerges as an innovative meta-heuristic optimization technique. This algorithm is deeply rooted in the reproductive dynamics observed in slime molds, particularly the intricate balance these organisms strike between local and global spore dispersal. By replicating this balance, the SMR algorithm deftly navigates between exploration and exploitation … …Journal of Computer Science, Vol. 20, Issue 1 · 21 Dec 2023 · 5,943 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHE CLINICAL APPLICATIONS FOR AUTOMATIC DETECTION OF EXUDATESK. Wisaeng, N. Hiransakolwong, E. PothirukNowadays, the retinal imaging technology has been widely used for segmenting and detecting the exudates in diabetic retinopathy patients. Unfortunately, the retinal images in Thailand are poor-quality images. Therefore, detecting of exudates in a large number by screening programs, are very expensive in professional time and may cause human error. In this study, the clinical applications for detection of exudates … …American Journal of Applied Sciences, Vol. 11, Issue 10 · 27 Sep 2014 · 6,446 accessesView PDFCite
Research ArticleOpen accessIn the abstractObservation Modeling for Continuous Predicting Global and Diffuse Solar Radiation on Horizontal SurfaceSomporn Hongkong, Singthong PattanasethanonMathematical modeling for continuous prediction of solar energy is inevitable for energy systems. General, existing models are mostly empirical and data dependent. This article has to present a variable model for predicting global and diffuse solar radiation on the horizontal plane. The model considered in this study has applied Hidden Markov Model (HMM) with two observations. The databases were measured … …American Journal of Environmental Sciences, Vol. 9, Issue 3 · 23 May 2013 · 6,797 accessesView PDFCite
Research ArticleOpen accessIn the abstractEducation to Face the Wicked Challenges of SustainabilityBland TomkinsonProblem statement: The nature of sustainable development requires new paradigms for education. Issues of sustainability are ‘wicked problems’ that do not lend themselves to conventional didactic approaches. The challenge for higher education is to examine interdisciplinary approaches to global societal responsibility and, within this, issues of education for sustainable development. Approach: A project, sponsored by the Royal Academy of Engineering, … …Journal of Social Sciences, Vol. 7, Issue 1 · 18 Dec 2010 · 8,708 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeasibility of Hybrid Neuro-Fuzzy (ANFIS) Machine Learning Model with Classical Multi-Linear Regression (MLR) For the Simulation of Solar Radiation: A Case Study Abuja, NigeriaNajashi B. Gafai, Asia'u Talatu BelgoreThe extremely variable nature of solar radiation makes it difficult for solar power plants to keep up with predicted power output and demand curves. As a result, solar radiation simulation is crucial to the efficient design, administration, and operation of any solar power plant. With only partially satisfactory results, empirical models have been routinely employed in Nigeria to predict solar … …Energy Research Journal, Vol. 13, Issue 1 · 21 Jul 2022 · 10,032 accessesView PDFCite
Research ArticleOpen accessIn the abstractSuspension of Certain Dental Procedures Due to COVID-19: A Source of Over-Prescription?Gowri Sivaramakrishnan, Fatema Al Sulaiti, Muneera Alsobaiei, Kannan SridharanDentists have always been attributed to the ever rising global problem of antibiotic resistance. The recent pandemic due to COVID-19 has caused greater concern and primary dental care practices temporarily suspended all aerosol generating and invasive procedures in the Ministry of Health in Bahrain, between February to August 2020. Dental emergencies were addressed using a triage system and low exposure … …Current Research in Dentistry, Vol. 12, Issue 1 · 10 Jun 2021 · 6,686 accessesView PDFCite
Research ArticleOpen accessIn the abstractCritical Success Factors of Information Technology Outsourcing for Emerging MarketsSushil Paudel, Vinish KumarOutsourcing has gained popularity as several large U.S. companies in the 1980 s began delegating IT work to foreign firms. In outsourcing, one party (customer) asks another party (vendor) to do a particular job. Outsourcing has its own advantages, like reducing the cost and time and increasing performance and satisfaction. This study has focused on the critical success factors in … …Journal of Computer Science, Vol. 17, Issue 5 · 18 May 2021 · 8,126 accessesView PDFCite
Research ArticleOpen accessIn the abstractFine-Tuned MobileNet Classifier for Classification of Strawberry and Cherry Fruit TypesVenkatesh, Nagaraju Yallappa, Siddhanth Udayashankar Hegde, Sangeetha Raj StalinThis paper proposed an accurate, fast and reliable strawberry, cherry fruit detection and classification system for the automated strawberry cherry yield estimation. State-of-the-art deep learning-based fine-tuned MobileNet Convolutional Neural Network is developed to detect and classify strawberry and cherry fruit types in the outdoor field. The proposed CNN model is trained on 4250 strawberry fruit images, 3878 Cherry fruit images … …Journal of Computer Science, Vol. 17, Issue 1 · 20 Jan 2021 · 7,953 accessesView PDFCite
Research ArticleOpen accessIn the abstractKNOWLEDGE MANAGEMENT AND ENTERPRISE RESOURCE PLANNING IMPLEMENTATION: A CONCEPTUAL MODELSevenpri CandraThe purpose of this research is examining the influence of organizational learning and knowledge management in enterprise resource planning implementation. This study is based on organizational learning, knowledge management and enterprise resource planning implementation. This research did not test all organizational factors and focus particularly on knowledge management capacity and absorptive capability. Enterprise resource planning implementation successful is a must. … …Journal of Computer Science, Vol. 10, Issue 3 · 30 Nov 2013 · 6,873 accessesView PDFCite