Search Results - "Kenett, Ron"
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Quality 4.0-the challenging future of quality engineering
Published in Quality engineering (01-10-2020)“…Quality is a crucial dimension of products and processes. It is considered a competitive advantage for companies and organizations in the global market…”
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The digital twin in Industry 4.0: A wide‐angle perspective
Published in Quality and reliability engineering international (01-04-2022)“…The move towards advanced manufacturing and Industry 4.0 is fed by increased demand for speeding up innovation, increasing flexibility, improving maintenance,…”
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Discussion of ‘Specifying prior distributions in reliability applications’
Published in Applied stochastic models in business and industry (01-01-2024)Get full text
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Development of an Operational Digital Twin of a Locomotive Parking Brake for Fault Diagnosis
Published in Scientific reports (20-10-2023)“…In recent years, a growing role in digital technologies has been filled by model-based digital twinning. A digital twin produces a one-to-one mapping of a…”
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Clarifying the terminology that describes scientific reproducibility
Published in Nature methods (01-08-2015)Get full text
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Generalizing research findings for enhanced reproducibility: an approach based on verbal alternative representations
Published in Scientometrics (01-05-2021)“…Research aims at generating research claims. The paper introduces a "border of meaning", abbreviated BOM, as a mode of representation of research findings that…”
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On information quality
Published in Journal of the Royal Statistical Society. Series A, Statistics in society (01-01-2014)“…We define the concept of information quality 'InfoQ' as the potential of a data set to achieve a specific (scientific or practical) goal by using a given…”
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Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective
Published in Journal of intelligent manufacturing (01-02-2023)“…In Industry 4.0, smart manufacturing is facing its next stage, cybermanufacturing, founded upon advanced communication, computation, and control…”
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Functional data analysis and nonlinear regression models: an information quality perspective
Published in Quality engineering (03-07-2023)“…Data from measurements over time can be analyzed in different ways. In this article, we compare functional data analysis and nonlinear regression models using,…”
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Adversarial AI in insurance: an overview
Published in European actuarial journal (01-04-2024)“…[...]the product will no longer be tailored to the actual needs. In both scenarios the result is a decrease in the quality of the customer experience, often…”
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Your best day: An interactive app to translate how time reallocations within a 24-hour day are associated with health measures
Published in PloS one (07-09-2022)“…Reallocations of time between daily activities such as sleep, sedentary behavior and physical activity are differentially associated with markers of physical,…”
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Integrated Analysis of Behavioural and Health COVID-19 Data Combining Bayesian Networks and Structural Equation Models
Published in International journal of environmental research and public health (16-04-2022)“…The response to the COVID-19 pandemic has been highly variable. Governments have applied different mitigation policies with varying effect on social and…”
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A review of data science in business and industry and a future view by G. Vicario and S. Coleman
Published in Applied stochastic models in business and industry (01-01-2020)Get full text
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Synchronizing the release rates of salicylate and indomethacin from degradable chitosan hydrogel and its optimization by definitive screening design
Published in European journal of pharmaceutical sciences (01-12-2018)“…Three types of ionically crosslinked (with citric acid) chitosan discs were loaded with the highly water- soluble drug, sodium salicylate (SS) and the poorly…”
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An analytic journey in an industrial classification problem: How to use models to sharpen your questions
Published in Quality and reliability engineering international (01-03-2024)“…The mathematician and bio‐scientist Sam Karlin is quoted stating that “The purpose of models is not to fit the data but to sharpen the question”. In this…”
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Using dynamic Bayesian networks to model technical risk management efficiency
Published in Quality and reliability engineering international (01-10-2017)“…The objective of this paper is to present a mathematical model helping decision makers achieve optimum efficiency in risk management of product development…”
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The Israeli society common denominator: a text analytic study
Published in Israel affairs (04-05-2023)“…The core of this article is the search for an 'organizing principle' for the State of Israel in the present era. To approach this core goal, it conducted 40…”
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Adversarial Artificial Intelligence in Insurance: From an Example to Some Potential Remedies
Published in Risks (Basel) (01-01-2023)“…Artificial intelligence (AI) is a tool that financial intermediaries and insurance companies use or are willing to use in almost all their activities. AI can…”
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Self‐supervised cross validation using data generation structure
Published in Applied stochastic models in business and industry (01-09-2022)“…Modern statistics and machine learning typically involve large amounts of data coupled with computationally intensive methods. In a predictive modeling…”
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Challenges and Opportunities in Simulations and Computer Experiments in Industrial Statistics: An Industry 4.0 Perspective
Published in Advanced theory and simulations (01-02-2021)“…This paper is a review of the growing role of simulations and computer experiments in industrial statistics, with an emphasis on Industry 4.0 applications. It…”
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