Open Source Machine Learning Frameworks for Industrial Internet of Things
(چکیده مقاله) :
Abstract :
Information and communication technology has revolutionized the industrial operations and productions. The
industries irrespective of size, whether small or large, have felt the need of artificial intelligence and machine
learning techniques to process the terabytes of data generated through sensors, actuators, industrial management
systems, and web applications. These data have the characteristics of volume (terabyte) and variety (image, audio,
video, graphics) and thus customized models and techniques are required for analysis and management.
The advancement in computer hardware, processing power, storage capacity, and cloud computing have led to
experimentation and implementation of machine learning models in industrial domain for resource optimization,
operation management, and quality control. However, the industrial Data Analysts face the dilemma of selecting the
affordable and easy to use machine learning frameworks that suite their need and expectations. The study
investigates the open source frameworks, aligned with the industrial domain (processing data
generated from Industrial Internet of Things), in terms of usage, programming languages, implementations, and
future prospects
industries irrespective of size, whether small or large, have felt the need of artificial intelligence and machine
learning techniques to process the terabytes of data generated through sensors, actuators, industrial management
systems, and web applications. These data have the characteristics of volume (terabyte) and variety (image, audio,
video, graphics) and thus customized models and techniques are required for analysis and management.
The advancement in computer hardware, processing power, storage capacity, and cloud computing have led to
experimentation and implementation of machine learning models in industrial domain for resource optimization,
operation management, and quality control. However, the industrial Data Analysts face the dilemma of selecting the
affordable and easy to use machine learning frameworks that suite their need and expectations. The study
investigates the open source frameworks, aligned with the industrial domain (processing data
generated from Industrial Internet of Things), in terms of usage, programming languages, implementations, and
future prospects
(توضیحات تکمیلی) :
(توضیحات تکمیلی) :
Description :
مقاله ISI انگلیسی اصلی
سال انتشار: 2020
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 7 صفحه
سال انتشار: 2020
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 7 صفحه
Authors / Descriptions(نویسندگان/توضیحات): سال انتشار 2020 \ مقاله ISI انگلیسی اصلی \ نویسندگان: Asharul Islam Khan a*, Ali Al-Badib
Sent date(تاریخ ارسال) :
1399/06/09 | 8/30/2020
Number of visits(تعداد بازدید):
535
Key words (کلمات کلیدی):
industrial internet of things; artificial intelligence; machine learning; deep learning; industrial 4. revolution; open source; frameworks; sensors;
Number of pages(تعداد صفحات) :
7
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