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Effect of temperature and graphene oxide on the swelling of PAAm-GO composite gels
(Avestia Publishing, 2019)
Graphene oxide (GO) is a two dimensional carbon material with similar one-atom thickness, and is a light material having extremely high strength and thermal stability [1]. Thus, GO is an efficient filler for the enhancement ...
GRAPH OPTIMIZED LOCALITY PRESERVING PROJECTION VIA HEURISTIC OPTIMIZATION ALGORITHMS
(IEEE, 2019)
Dimensionality reduction has been an active research topic in hyperspectral image analysis due to complexity and non-linearity of the hundreds of the spectral bands. Locality preserving projection (LPP) is a linear extension ...
Performance of Combinational Cooperative Detection Method under Realistic Conditions
(IEEE Computer Society, 2020)
Combinational cooperative detection (CCD) is a method where signal energies from multiple secondary users (SUs) are gathered in different combinations in order to reach a unique decision for each secondary user regarding ...
Multi-Agent model of electricity networks - a perspective on distribution network charges
(Institute of Electrical and Electronics Engineers Inc., 2019)
In the UK, DNOs are regulated by Ofgem to use two common distribution use of system charging methodologies: Common Distribution Charging Methodology and Extra-High Voltage Distribution Charging Methodology. To account for ...
Indoor Positioning Using Federated Kalman Filter
(Institute of Electrical and Electronics Engineers Inc., 2018)
In this paper, the performance of a multi-sensor fusion technique, namely Federated Kalman Filter (FKF) is studied in the context of indoor positioning problem. Kalman filters having centralized and decentralized structures ...
Sparse Channel Estimation with Clipping Noise in DCO-OFDM Based VLC Systems
(IEEE, 2020)
In this paper a new computationally efficient and high performance channel estimation algorithm is proposed for DC-biased optical OFDM (DCO-OFDM) systems in indoor visible light communications (VLC) in the presence of a ...
A comparative study of surrogate based learning methods in solving power flow problem
(IEEE, 2020)
Due to increasing volume of measurements in smart grids, surrogate based learning approaches for modeling the power grids are becoming popular. This paper uses regression based models to find the unknown state variables ...
The Effect of Data Augmentation on ADHD Diagnostic Model using Deep Learning
(IEEE, 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 objective ...
Classification of ADHD Using Ensemble Algorithms with Deep Learning and Hand Crafted Features
(IEEE, 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 ...
Theory of Planned Behavior: Physical Activity Predictors Among Turkish University Students
(Human Kinetics Publ Inc, 2019)
[Abstract Not Available]