Results 21 to 30 of about 1,379,083 (303)

AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives

open access: yesArtificial Intelligence Review, 2022
In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control of heating ventilation and air
Yassine Himeur   +7 more
semanticscholar   +1 more source

Monitoring Data Integrity in Big Data Analytics Services [PDF]

open access: yes, 2018
Enabled by advances in Cloud technologies, Big Data Analytics Services (BDAS) can improve many processes and identify extra information from previously untapped data sources. As our experience with BDAS and its benefits grows and technology for obtaining
Kloukinas, C.   +2 more
core   +1 more source

Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research

open access: yesAnnals of Operations Research, 2022
Sustainable finance is a rich field of research. Yet, existing reviews remain limited due to the piecemeal insights offered through a sub-set rather than the entire corpus of sustainable finance.
Satish Kumar   +4 more
semanticscholar   +1 more source

Big Data Analytics: A Survey

open access: yesIraqi Journal for Computers and Informatics, 2022
Internet-based programs and communication techniques have become widely used and respected in the IT industry recently. A persistent source of "big data," or data that is enormous in volume, diverse in type, and has a complicated multidimensional ...
Wasnaa Kadhim Jawad, Abbas M. Al-Bakry
semanticscholar   +1 more source

The Emergence of Big Data Policing [PDF]

open access: yes, 2017
The past decade has seen both the proliferation of surveillance in everyday life and the rise of “big data.” Through extensive qualitative research focusing on the Los Angeles Police Department (LAPD), PRC faculty research associate Sarah Brayne explores
Brayne, Sarah
core   +1 more source

Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities

open access: yesTechnological forecasting & social change, 2020
The significance of big data analytics-powered artificial intelligence has grown in recent years. The literature indicates that big data analytics-powered artificial intelligence has the ability to enhance supply chain performance, but there is limited ...
Surajit Bag   +3 more
semanticscholar   +1 more source

Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review

open access: yesAnnals of Operations Research, 2022
Artificial Intelligence (AI) and Big Data Analytics (BDA) have the potential to significantly improve resilience of supply chains and to facilitate more effective management of supply chain resources.
E. Zamani   +3 more
semanticscholar   +1 more source

Attributes of Big Data Analytics for Data-Driven Decision Making in Cyber-Physical Power Systems [PDF]

open access: yes, 2019
Big data analytics is a virtually new term in power system terminology. This concept delves into the way a massive volume of data is acquired, processed, analyzed to extract insight from available data.
Gharehpetian, Gevork B.   +4 more
core   +2 more sources

Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view

open access: yesInternational Journal of Production Economics, 2022
This study attempts to understand the role of artificial intelligence-driven big data analytics capability in hu-manitarian relief operations.
Rameshwar Dubey   +4 more
semanticscholar   +1 more source

Crisis Analytics: Big Data Driven Crisis Response [PDF]

open access: yes, 2016
Disasters have long been a scourge for humanity. With the advances in technology (in terms of computing, communications, and the ability to process and analyze big data), our ability to respond to disasters is at an inflection point.
Ali, Anwaar   +5 more
core   +2 more sources

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