An innovative synthesis of optmization techniques (FDIRE-GSK) for generation electrical renewable energy from natural resources

Mohammed, Ghada S.; Al-Janabi, Samaher

doi:10.1016/j.rineng.2022.100637

Cited by 39 publications

(11 citation statements)

References 38 publications

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“…We initialize GP variables between lines (1-6). The sets of functions and terminals of the three dimensions (orientation, color, and shape), and the function corresponding to the integration of features (7)(8)(9)(10)(11)(12)(13)(14) are declared. Then we create the first generation of individuals in the population (15).…”

Section: Appendix Amentioning

confidence: 99%

“…The labels are ordered from highest to lowest for later use (10). We reset the label index array in the next five lines (11)(12)(13)(14)(15). Next, the best masks of the MCG are extracted (16).…”

Section: Appendix Amentioning

confidence: 99%

“…The following five lines are used to process the MCG results (7)(8)(9)(10)(11). The scores and characteristics are readjusted (12)(13)(14) in the following three lines. Then the MCG results are converted into masks (15)(16)(17)(18), filtered, and saved to a file (19)(20)(21).…”

Section: Outputmentioning

confidence: 99%

“…Intelligence data analysis (IDA) is a new research area concerned with analyzing data science effectively to discover meaningful information to improve decisions for real-world problems effectively [12]. Traditionally, deductive reasoning is the method of preference since problems can be naturally explained under pure reasoning, and salient object detection is no exception.…”

Section: Introductionmentioning

confidence: 99%

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Automated Design of Salient Object Detection Algorithms with Brain Programming

et al. 2022

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Despite recent improvements in computer vision, artificial visual systems’ design is still daunting since an explanation of visual computing algorithms remains elusive. Salient object detection is one problem that is still open due to the difficulty of understanding the brain’s inner workings. Progress in this research area follows the traditional path of hand-made designs using neuroscience knowledge or, more recently, deep learning, a particular branch of machine learning. Recently, a different approach based on genetic programming appeared to enhance handcrafted techniques following two different strategies. The first method follows the idea of combining previous hand-made methods through genetic programming and fuzzy logic. The second approach improves the inner computational structures of basic hand-made models through artificial evolution. This research proposes expanding the artificial dorsal stream using a recent proposal based on symbolic learning to solve salient object detection problems following the second technique. This approach applies the fusion of visual saliency and image segmentation algorithms as a template. The proposed methodology discovers several critical structures in the template through artificial evolution. We present results on a benchmark designed by experts with outstanding results in an extensive comparison with the state of the art, including classical methods and deep learning approaches to highlight the importance of symbolic learning in visual saliency.

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Section: Appendix Amentioning

confidence: 99%

Section: Appendix Amentioning

confidence: 99%

Section: Outputmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Automated Design of Salient Object Detection Algorithms with Brain Programming

et al. 2022

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“…But what will happen next remains to be seen, as the decarbonization of the electricity sector is still being discussed [12]. Even though in recent years, significant technological progress has been registered regarding the low-carbon resources for electricity production, the economic and operational characteristics of these resources and their abilities to meet the demand of electricity in a reliable way, vary from case to case [13,14].…”

Section: Introductionmentioning

confidence: 99%

Production of Electricity at the European Union Level vs. Romania

Toró¹

2023

JGELCD

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The purpose of this paper is to carry out a quantitative analysis of the electricity production at the level of the European Union (EU) and in Romania, in the period of 2011-2020. To address the current environmental concerns, the package "Fit for 55" proposes that by 2050, most of the energy production will have to come from renewable sources, but the question is whether this desideratum can indeed be achieved. Among the methods used in scientific research, the quantitative analysis was selected and applied in this paper, in order to carry out a detailed statistical analysis on the trend of increase or decrease in the electricity production from different energy resources, and then comparative analysis was performed, so as to draw relevant conclusions in this respect. Through this study, it can be found that, at the level of the European Union, the electricity production from renewable energy resources is increasing, while that from solid fossil fuels is decreasing. In Romania, the same trend of increase and decrease can be observed, except on a smaller scale. Accordingly, the greatest increase in electricity production was recorded from renewable energy resources, for both the EU and Romania, while the biggest decrease in electricity production from fossil fuels. In order to address the decarbonization of the energy system in Romania, the hypothesis that the decrease in total electricity production is due to the decrease in electricity production from solid fossil fuels was tested. However, this hypothesis was only partially confirmed, since the production of electricity from other energy resources, apart from renewable resources and natural gas, also experienced a similar downward trend.

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Prediction Type of Codon Effect in Each Disease Based on Intelligent Data Analysis Techniques

Kadhuim

Al-Janabi

2023

Lecture Notes in Networks and Systems

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An innovative synthesis of optmization techniques (FDIRE-GSK) for generation electrical renewable energy from natural resources

Cited by 39 publications

References 38 publications

Automated Design of Salient Object Detection Algorithms with Brain Programming

Automated Design of Salient Object Detection Algorithms with Brain Programming

Production of Electricity at the European Union Level vs. Romania

Prediction Type of Codon Effect in Each Disease Based on Intelligent Data Analysis Techniques

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