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Artificial intelligence applications in solid waste management: A systematic research review
(Pergamon, 2020-05)
The waste management processes typically involve numerous technical, climatic, environmental, demographic, socio-economic, and legislative parameters. Such complex nonlinear processes are challenging to model, predict and ...
Deep Learning Models to Detect Online False Information: a Systematic Literature Review
(ACM, 2021-08)
The amount of disseminated information from online content volume is increasing rapidly including trusted and untrusted information that are published by different sources. To counter this problem, we need a comprehensive ...
Deep Learning Techniques for Automatic Modulation Classification: A Systematic Literature Review
(IEEE, 2020-11)
Implementation of Automatic modulation classification originated in the military field several years ago. Threat analysis, surveillance, and welfare where of great concern, thus this urged the importance to study the ...
Breast cancer detection using artificial intelligence techniques: A systematic literature review
(Elsevier, 2022-03)
Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has been developed for it. Breast cancer is one of the most common cancer types. According to the National Breast Cancer Foundation, in 2020 ...