AI techniques for reliability prediction for electronic components [edited by] Cherry Bhargava.
Material type: TextSeries: Advances in computational intelligence and robotics (ACIR) book seriesPublisher: Hershey, PA Engineering Science Reference, an imprint of IGI Global, [2020]Description: 1 online resource (xv, 330 pages)ISBN: 1799814661; 9781799814665Subject(s): Electronic apparatus and appliances -- Reliability | Electronic apparatus and appliances -- Testing -- Data processing | Electronic apparatus and appliances -- Service life | Artificial intelligence -- Industrial applications | Artificial intelligence -- Industrial applications | Electronic apparatus and appliances -- Reliability | Electronic apparatus and appliances -- Testing -- Data processingGenre/Form: EBSCO eBooks | Electronic books. DDC classification: 621.38150285/63 LOC classification: TK7870.23 | .A44 2020Online resources: EBSCOhostIncludes bibliographical references and index.
Residual life estimation of humidity sensor DHT11 using ANN / Pardeep Sharma, Lovely Professional University, India, Cherry Bhargava, Lovely Professional University, India, Shivani Gulati, Lambton College, Canada -- Frequency based RO-PUF / Abhishek Kumar, Lovely Professional University, India, Jyotirmoy Pathak, Lovely Professional University, India, Suman Tripathi, Lovely Professional University, India -- Modelling analysis and simulation for reliability prediction for thermal power system / Vikram Kamboj, Lovely Professional University, India.
"This book explores the theoretical and practical aspects of prediction methods using artificial intelligence and machine learning in the manufacturing field"-- Provided by publisher.
Description based on online resource; title from digital title page (viewed on December 02, 2019).
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