How can artificial intelligence impact sustainability: A systematic literature review
AK Kar, SK Choudhary, VK Singh - Journal of Cleaner Production, 2022 - Elsevier
We need a proper mechanism to manage issues related to our environment, economy, and
society to proceed toward sustainability. Many researchers have worked for sustainable …
society to proceed toward sustainability. Many researchers have worked for sustainable …
Zero touch management: A survey of network automation solutions for 5G and 6G networks
E Coronado, R Behravesh… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …
originating from novel mobile applications and services and, in general, from the adoption …
Integrating artificial intelligence Internet of Things and 5G for next-generation smartgrid: A survey of trends challenges and prospect
Smartgrid is a paradigm that was introduced into the conventional electricity network to
enhance the way generation, transmission, and distribution networks interrelate. It involves …
enhance the way generation, transmission, and distribution networks interrelate. It involves …
Review of artificial intelligence and machine learning technologies: classification, restrictions, opportunities and challenges
RI Mukhamediev, Y Popova, Y Kuchin, E Zaitseva… - Mathematics, 2022 - mdpi.com
Artificial intelligence (AI) is an evolving set of technologies used for solving a wide range of
applied issues. The core of AI is machine learning (ML)—a complex of algorithms and …
applied issues. The core of AI is machine learning (ML)—a complex of algorithms and …
A review of machine learning in processing remote sensing data for mineral exploration
The decline of the number of newly discovered mineral deposits and increase in demand for
different minerals in recent years has led exploration geologists to look for more efficient and …
different minerals in recent years has led exploration geologists to look for more efficient and …
Planetary gearbox fault diagnosis using bidirectional-convolutional LSTM networks
Gearbox fault diagnosis is expected to significantly improve the reliability, safety and
efficiency of power transmission systems. However, planetary gearbox fault diagnosis …
efficiency of power transmission systems. However, planetary gearbox fault diagnosis …
Machine learning techniques for spam detection in email and IoT platforms: analysis and research challenges
Nowaday, emails are used in almost every field, from business to education. Emails have
two subcategories, ie, ham and spam. Email spam, also called junk emails or unwanted …
two subcategories, ie, ham and spam. Email spam, also called junk emails or unwanted …
A systematic review on recent advancements in deep and machine learning based detection and classification of acute lymphoblastic leukemia
Automatic Leukemia or blood cancer detection is a challenging job and is very much
required in healthcare centers. It has a significant role in early diagnosis and treatment …
required in healthcare centers. It has a significant role in early diagnosis and treatment …
Towards 6G-enabled internet of vehicles: Security and privacy
The conceptualisation of the sixth generation of mobile wireless networks (6G) has already
started with some potential disruptive technologies resonating as enablers for driving the …
started with some potential disruptive technologies resonating as enablers for driving the …
A systematic review on machine learning approaches for cardiovascular disease prediction using medical big data
There is a considerable rise in cardiovascular diseases in the world. It is pertinently
essential to make cardiovascular prediction accurate to the maximum. A forecast based on …
essential to make cardiovascular prediction accurate to the maximum. A forecast based on …