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70 results for “testing and evaluation”

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Research ArticleOpen accessAll words, across the recordTailoring the Ruggiero-Klinghardt Protocol to Immunotherapy of AutismNicola Antonucci, Dietrich Klinghardt, Stefania Pacini, Marco RuggieroHere, we describe the adaptation to the field of autism of an original procedure denominated the "Ruggiero-Klinghardt Protocol" (RK Protocol), a procedure that represents a paradigm change with significant implications for chronic conditions where immunotherapy may prove effective; that is from silent infections to neurodegenerative diseases, autism and cancer. In the context of autism, the modified RK Protocol that we … …American Journal of Immunology, Vol. 14, Issue 1 · 25 Apr 2019 · 11,211 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAmelioration of Attack Classifications for Evaluating and Testing Intrusion Detection SystemMohammed Saber, Toumi Bouchentouf, Abdelhamid Benazzi, Mostafa AziziProblem statement: The problem of the computer attack system has recently been much studied to improve the evaluation process of the Intrusion Detection Systems (IDS). Approach: This study aimed at presenting the principal attacks classifications; especially, the study of classification towards the evaluation for which we suggested some improvements that may allow the generation of a test cases selection about … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 7,413 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordInfrared Thermography for the Characterization of Painted Vaults of Historic Masonry BuildingsClaudia Casapulla, Alessandra Maione, Luca Umberto ArgientoThe infrared thermography is a type of non-destructive investigation which can find interesting application in acquiring information about the structural features of ancient masonry buildings. In this case, in fact, the needs of preservation of the historical values have to be compound with the needs of achieving a proper level of knowledge of the parameters influencing the structural behaviour in … …International Journal of Structural Glass and Advanced Materials Research, Vol. 2, Issue 1 · 20 Feb 2018 · 7,870 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordExperimental Evaluation of Adaptive Step-Size Based FxLMS Approach for Active Noise Control in Magnetic Resonance Imaging SystemsI. Juvanna, Uppu Ramachandraiah, G. Muthukumaran et al.Magnetic Resonance Imaging (MRI) scanners emit up to 135 decibels of acoustic noise, which is a major source of discomfort for patients and personnel evaluating them during routine medical scans, necessitating the development of a method to reduce the acoustic noise generated during MRI testing. The goal of this study is to propose a frequency-domain Active Noise Control (ANC) method … …Journal of Computer Science, Vol. 18, Issue 12 · 24 Nov 2022 · 5,511 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEvaluation of Transfer Learning for Mask DetectionZahin Akram, Arifuzzaman Arman, Mohammad Rakib Imtiaz, Syed Athar Bin AmirThe use of masks has become crucial in combating the Coronavirus pandemic. Unfortunately, the regulation of wearing a mask is not being upheld by many citizens which is contributing to the spread of the disease. To aid the efforts of regulations and to maintain safety in public areas, both large like parks or small like public transport, Artificial Intelligent systems … …Journal of Computer Science, Vol. 18, Issue 2 · 3 Mar 2022 · 6,937 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordData-Driven Forecasting Schemes: Evaluation and ApplicationsJosip Vrbanek Jr, Wilson WangA reliable multi-step predictor is very useful to a wide array of applications to forecast the behavior of dynamic systems. The objective of this paper is to develop a more robust data-driven predictor for time series forecasting. Based on simulation analysis, it is found that multi-step-ahead forecasting schemes based on step inputs perform better than those based on sequential inputs. … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,568 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordMeasuring Test Data Uniformity in Acceptance Tests for the FitNesse and Gherkin NotationsDouglas Hiura Longo, Patrícia Vilain, Lucas Pereira da SilvaThis paper presents two metrics designed to measure the data uniformity of acceptance tests in FitNesse and Gherkin notations. The objective is to measure the data uniformity of acceptance tests in order to identify projects with lots of random and meaningless data. Random data in acceptance tests hinder communication between stakeholders and increase the volume of glue code. The main … …Journal of Computer Science, Vol. 17, Issue 2 · 25 Feb 2021 · 7,577 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordReinforcing Effect of Strain Gauges on 3D Printed Polymers: An Experimental InvestigationSalvatore Brischetto, Roberto TorreStrain gauges are ordinary transducers for strain measuring; their operation relies on the electrical resistance, which varies as the underlying substrate is subjected to mechanical deformation. The mechanical strain can be obtained by converting the electrical signal through a gauge factor, provided by the manufacturer. It was demonstrated that its values are not unique; it may be influenced by the … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 1 · 9 Jan 2021 · 7,662 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPerformance Analysis of Deep Learning Libraries: TensorFlow and PyTorchFelipe Florencio, Thiago Valenç, Edward David Moreno, Methanias Colaço JuniorThrough the increase in deep learning study and use, in the last years there was a development of specific libraries for Deep Neural Network (DNN). Each one of these libraries has different performance results and applies different techniques to optimize the implementation of algorithms. Therefore, even though implementing the same algorithm and using different libraries, the performance of their executions … …Journal of Computer Science, Vol. 15, Issue 6 · 11 Apr 2019 · 10,298 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPerformance Evaluation of Blackhole Attack on AODV in VANETTaha SaadBlack hole is one of the ongoing network threats that impact the physical components of Vehicular Ad hoc Networks (VANETs) when more layers deal with routing mechanism of vehicular ad hoc network. An algorithm for Ad hoc On-Demand Distance Vector (AODV) protocol in VANET was developed in order to identify collaborative group of nodes that behave as black hole. The … …American Journal of Applied Sciences, Vol. 15, Issue 2 · 6 Nov 2017 · 8,411 accessesView PDFCite