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Simple but effective GRU variants
(Institute of Electrical and Electronics Engineers Inc., 2021)
Recurrent Neural Network (RNN) is a widely used deep learning architecture applied to sequence learning problems. However, it is recognized that RNNs suffer from exploding and vanishing gradient problems that prohibit the ...
A multi-objective optimization evaluation framework for integration of distributed energy resources
(Elsevier, 2021)
Renewable distributed generation and energy storage systems (ESSs) have been a gamechanger for a reliable and sustainable energy supply. However, this new type of generation should be optimally planned and operated to ...
Distributed energy resource allocation using multi-objective grasshopper optimization algorithm
(Elsevier Science Sa, 2021)
The penetration of small-scale generators (DGs) and battery energy storage systems (BESSs) into the distribution grid is growing rapidly and reaching a high percentage of installed generation capacity. These units can play ...
The Implementation of Smart Contract via Blockchain Technology in Supply Chain Management: A Case Study from The Automotive Industry in Turkey
(IEEE, 2021)
Blockchain Technology, underlined as the most revolutionizing innovation after the internet, is still in the growth phase and waits for the practitioners to enlighten its productivity promises. In the current environment, ...
Land Policies in the 1780s: The Formation of the Beylerbeyi Neighborhood in Ottoman Istanbul
(Indiana University Press, 2021)
[No abstract available]
Modeling, simulation, and decision support
(Elsevier, 2021)
Energy markets are intertwined and complex systems that influence and are affected by various sectors such as transportation, industry, and electric power. Solely focusing on the power sector without considering the up-and ...
Orbital Characterization Study for the Hydrodynamic Micro Tweezers: Simulated Performance with an Active Particle
(Institute of Electrical and Electronics Engineers Inc., 2021)
In micro-robotics, micromanipulation can be utilized via diverse strategies for the trapping, selection, and manipulation of microparticles especially in biomedical applications. One of the most encountered problems in the ...
Numerical Investigations on the Hydrodynamic Interaction between an E. Coli Minicell and a Micro Tweezers
(Institute of Electrical and Electronics Engineers Inc., 2021)
The study of robotic micromanipulation is important for biomedical applications with live cells. Hydrodynamic trapping is arguably more favorable owing to the apparent lack of temperature gradients and tactile interaction. ...
Multitype Learning via Multimodal Data Embedding
(Institute of Electrical and Electronics Engineers Inc., 2021)
This paper creates a multimodal retrieval system for image and text data in a multi-type learning approach that enables text-to-image, image-to-text, text-to-text, and image-to-image retrievals. As a practical solution, a ...
Transmit precoding for physical layer security of MIMO-NOMA-based visible light communications
(VDE Verlag GmbH, 2021)
We consider the physical layer security (PLS) of non-orthogonal multiple access (NOMA) enabled multiple-input multiple-output (MIMO) visible light communication systems in the presence of a passive eavesdropper (Eve). In ...