686 citations · 1.5k across the 39 of their papers we have counts for
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Deep Learning at the Edge
Sahar Voghoei, Navid Hashemi Tonekaboni, Jason G. Wallace +1
The ever-increasing number of Internet of Things (IoT) devices has created a new computing paradigm, called edge computing, where most of the computations are performed at the edge…
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises
Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia
In [1, 2], we have explored the theoretical aspects of feature extraction optimization processes for solving largescale problems and overcoming machine learning limitations. Majori…
Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics
Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia
In [1], we have explored the theoretical aspects of feature selection and evolutionary algorithms. In this chapter, we focus on optimization algorithms for enhancing data analytic…
Evolutionary Computation, Optimization and Learning Algorithms for Data Science
Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia
A large number of engineering, science and computational problems have yet to be solved in a computationally efficient way. One of the emerging challenges is how evolving technolog…
Evolutionary Algorithms and Efficient Data Analytics for Image Processing
Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, M. Hadi Amini +1
Steganography algorithms facilitate communication between a source and a destination in a secret manner. This is done by embedding messages/text/data into images without impacting…