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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 ...
Unveiling the effects of a headscarf ban: Evidence from municipal jobs in Turkey
(Academic Press Inc., 2020)
Religious conservatism is often associated with patriarchal attitudes and deterioration of women's rights. This conventional wisdom has motivated ubiquitous policies that limit public expressions of religion and emphasize ...
The effects of leadership styles on organizational trust and disclosure of unethical behaviors (whistleblowing): A practical research
(Springer Nature, 2020)
Today, the enterprises can hold sustainable competitive advantage only through proper guidance of human capital movement. While management is merely regarded as a medium, leadership also appears as a form of administration, ...
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 ...
Post-synthetically elaborated BODIPY-based porous organic polymers (POPs) for the photochemical detoxification of a sulfur mustard simulant
(American Chemical Society, 2020)
Designing new materials for the effective detoxification of chemical warfare agents (CWAs) is of current interest given the recent use of CWAs. Although halogenated borondipyrromethene derivatives (4,4-difluoro-4-bora-3a ...
Homology modeling of human histone deacetylase 10 and design of potential selective inhibitors
(Taylor & Francis Inc, 2019)
Histone deacetylases (HDACs) are implicated in the pathology of various cancers, and their pharmacological blockade has proven to be promising in reversing the malignant phenotypes. However, lack of crystal structures of ...
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 ...