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43 results for “tests machine”
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Research ArticleOpen accessIn the abstractAn Experimental Comparison for Compression of PLA Specimens Printed in In-Plane and Out-of-Plane DirectionsSalvatore Brischetto, Roberto TorreThe present work proposes an experimental comparison between the in-plane and out-of-plane compressive behaviors of 3D printed PolyLactic Acid (PLA) specimens. These specimens are produced via the Fused Deposition Modeling (FDM) technique by using two different printing directions: the first printing direction in the xz plane allows experimental compression tests in the out-of-plane direction; the second printing direction in the … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 25 Sep 2020 · 7,648 accessesView PDFCite
Review ArticleOpen accessIn the abstractEEG-based Processing and Classification Methodologies for Autism Spectrum Disorder: A ReviewGunavaran Brihadiswaran, Dilantha Haputhanthri, Sahan Gunathilaka et al.Autism Spectrum Disorder is a lifelong neurodevelopmental condition which affects social interaction, communication and behaviour of an individual. The symptoms are diverse with different levels of severity. Recent studies have revealed that early intervention is highly effective for improving the condition. However, current ASD diagnostic criteria are subjective which makes early diagnosis challenging, due to the unavailability of well-defined medical … …Journal of Computer Science, Vol. 15, Issue 8 · 23 Aug 2019 · 10,401 accessesView PDFCite
Review ArticleOpen accessIn the abstractTime FactoryRelly Victoria Virgil PetrescuHave you asked yourself how you will look over 15 years? At the Bosch factory in Jucu, we saw a time machine that can help you to travel for 15 years in the future. And the technologies used seem to have come from the reality of the next decades. This "time machine" is, in fact, part of Bosch's Engineering, Quality … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 27 Apr 2019 · 6,607 accessesView PDFCite
Research ArticleOpen accessIn the abstractBoosting-BoW Algorithm for Finding Kidney Diseases from Medical Test ReportsWisam A. Qader, Abbas M. AliThis paper introduces an approach to increase the accuracy rate of classification by employing Bag-of-Words (BoW) as a feature selection method along with machine learning algorithms to obtain a more accurate output. Because of its capability in quickly processing large sets of data and getting accurate results, this approach can be used in medical areas. Different ensemble approaches are generated … …Journal of Computer Science, Vol. 15, Issue 4 · 26 Apr 2019 · 7,497 accessesView PDFCite
Review ArticleOpen accessIn the abstractArtificial Intelligence in COVID-19 Management: A Systematic ReviewSamaneh Mohammadi, SeyedAhmad SeyedAlinaghi et al.With the development of modern technologies in the field of healthcare, the use of Artificial Intelligence (AI) in disease management is increasing. AI methods may assist healthcare providers in the COVID-19 era. The current study aimed to observe the efficacy and importance of AI for managing the COVID-19 pandemic. An organized search was conducted, utilizing PubMed, Web of Science, Scopus, … …Journal of Computer Science, Vol. 19, Issue 5 · 30 Mar 2023 · 8,052 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Multi-Criteria Optimization Approach to Cam Curve Design Combining Different Splines Given by Fixed and Adjustable CheckpointsLéo Moussafir, Vigen ArakelianThis study proposes a multi-criteria design optimization of cam mechanisms. This approach is based on the multistage interconnection of different tools: MATLAB, ADAMS, and mode frontier. It consists of three main issues: (i) The polynomial representation of splines given by checkpoints defining the specific motion of the follower; (ii) The connection of these splines by different degrees of fitting in … …Journal of Mechatronics and Robotics, Vol. 7, Issue 1 · 24 Mar 2023 · 6,646 accessesView PDFCite
Research ArticleOpen accessIn the abstractAntibiogram of Bacteria Isolated from Automated Teller Machines Within Abakaliki MetropolisOkoro Nworie, Mbaba Mercy, Anyim Chukwudi et al.The Automated Teller Machine (ATMs) is likely to be contaminated with various microorganisms due to their vast dermal contact by multiple users. The metallic keypads of ATMs were examined to investigate their potentials as source of bacterial contamination and also the antibiogram of the isolated organisms. The study lasted from August, 2012 to October, 2012 involving several procedures like culturing, … …American Journal of Infectious Diseases, Vol. 8, Issue 4 · 9 Feb 2013 · 8,781 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign of Field Programmable Gate Array Based Emulators for Motor Control ApplicationsAhmed Ben Achballah, Slim Ben Othman, Slim Ben SaoudProblem statement: Field Programmable Gate Array (FPGA) circuits play a significant role in major recent embedded process control designs. However, exploiting these platforms requires deep hardware conception skills and remains an important time consuming stage in a design flow. High Level Synthesis technique avoids this bottleneck and increases design productivity as witnessed by industry specialists. Approach: This study proposes to … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 12 Jun 2012 · 8,723 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Classification of Cancer using Support Vector Machines and Modified Extreme Learning Machine based on Analysis of Variance FeaturesA. Bharathi, A.M. NatarajanProblem statement: The primary objective is to propose efficient cancer classification techniques which provide reliable and significant classification accuracy. To achieve this primary research goal is to find the smallest set of genes that can ensure high accuracy in classification using supervised machine learning algorithms. The significance of finding the minimum subset is three fold: (a) The computational burden and … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 22 Oct 2011 · 7,441 accessesView PDFCite
Research ArticleOpen accessIn the abstractCancer Classification using Support Vector Machines and Relevance Vector Machine based on Analysis of Variance FeaturesA. Bharathi, A.M. NatarajanProblem statement: The objective of this study is, to find the smallest set of genes that can ensure highly accurate classification of cancer from micro array data by using supervised machine learning algorithms. The significance of finding the minimum subset is three fold: The computational burden and noise arising from irrelevant genes are much reduced; the cost for cancer testing … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 7,593 accessesView PDFCite