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Cuckoo search algorithm for optimal siting and sizing of multiple distributed generators in distribution grids
(IEEE, 2019)
Distribution networks (DNs) are facing numerous challenges such as variability of demands, environmental issues, high power losses, and fluctuating v oltage p rofiles. Distributed energy resources (DERs) are becoming more ...
Graph optimized locality preserving projection via heuristic optimization algorithms
(Institute of Electrical and Electronics Engineers Inc., 2019)
Dimensionality reduction has been an active research topic in hyperspectral image analysis due to complexity and nonlinearity of the hundreds of the spectral bands. Locality preserving projection (LPP) is a linear extension ...
Classification of ADHD using ensemble algorithms with deep learning and hand crafted features
(Institute of Electrical and Electronics Engineers Inc., 2019)
Attention Deficit Hyperactivity (ADHD) is a common neurodevelopmental disorder that typically appears in early childhood. Methods developed for diagnosing gives different results at different times. This is a major obstacle ...
The effect of data augmentation on ADHD diagnostic model using deep learning
(Institute of Electrical and Electronics Engineers Inc., 2019)
Attention Deficit Hyperactivity Disorder (ADHD) is a neuro-behavioral hyperactivity disorder. It is frequently seen in childhood and youth, and lasts a lifetime unless treated. The ADHD classification model should be ...
Optimization of graph affinity matrix with heuristic methods in dimensionality reduction of hypespectral images
(Institute of Electrical and Electronics Engineers Inc., 2019)
Hyperspectral images include hundreds of spectral bands, adjacent ones of which are often highly correlated and noisy, leading to a decrease in classification performance as well as a high increase in computational time. ...