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Electric power bid determination and evaluation for price taker units under price uncertainty
(Econjournals, 2021)
Power companies aim to maximize their profit which is highly related to the bidding strategies used. In order to sell electricity at high prices and maximize their profit, power companies need suitable bidding models that ...
Who in the World Is Trying to Change Their Personality Traits? Volitional Personality Change Among College Students in Six Continents
(American Psychological Association, 2021)
Recent research conducted largely in the United States suggests that most people would like to change one or more of their personality traits. Yet almost no research has investigated the degree to which and in what ways ...
Sustainability and communication practices in grassroots movements in turkey following gezi park protests: Cases of dogancilar park forum, macka park forum and validebag volunteers
(Intellect Ltd., 2020)
Recent social movements, as exemplified by the informal organizations formed during and after the Occupy Movement in the United States and Gezi Park Protests in Turkey, are characterized by distrust towards institutional ...
Corporate risk-taking in developed countries: The influence of economic policy uncertainty and macroeconomic conditions
(Elsevier B.V., 2020)
Using 74,974 firm-year observations covering 15 developed European countries over the time period 1999–2017, this paper explores the effect of economic policy uncertainty on corporate risk-taking. The findings indicate ...
Differences Across Generations and Stability of Values in the Turbulence of Social Change in Turkey
(Springer International Publishing, 2021)
This chapter explores culture specific dynamics of intergenerational value transmission and its potential effects on youth self-sufficiency in the Turkish context. Due to rapid socioeconomic changes and massive internal ...
Block Elimination Distance
(Springer Science and Business Media Deutschland GmbH, 2021)
We introduce the parameter of block elimination distance as a measure of how close a graph is to some particular graph class. Formally, given a graph class G, the class B(G) contains all graphs whose blocks belong to G and ...
How to improve leadership in conflict response in Africa: Lessons learned
(Taylor and Francis, 2021)
[No abstract available]
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 ...
Android Malware Detection Using Machine Learning
(Institute of Electrical and Electronics Engineers Inc., 2020)
The usage of mobile devices is increasing exponentially. There were lots of critical applications such as banking to health applications are available on mobile devices through mobile applications. This penetration and ...
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 ...