According to the Greek mythology, Typhon was a gigantic monster with one hundred dragon heads, bigger than all mountains. His open hands were extending from East to West, his head could reach the sky and flames were c...
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The theory of intuitionistic fuzzy sets (IFSs) plays an essential role to deal with uncertainty and ambiguity. However, the IFSs deal only with anticipation, not periodicity. But, complex IFSs (CIFS) can handle both u...
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Over the past decade,the power conversion efficiency of halide perovskite solar cells has shown a rapid increase to 26.1%.The significant efficiency growth and the relative simplification of the technology for o...
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Over the past decade,the power conversion efficiency of halide perovskite solar cells has shown a rapid increase to 26.1%.The significant efficiency growth and the relative simplification of the technology for obtaining thin-film solar cells due to liquid printing methods determine the high potential for the low-cost perovskite solar cells ***,efficient use of cell geometry is comparable to the size of standard crystalline-Si wafers(156:156 mm and more).Therefore,modular geometry similar to amorphous-Si solar cell approaches is used to scale perovskite solar *** electrical connection of thin-film cells requires precise processing of the conductive layers that form the device p-i-n *** subject of research is the development of a full pulsed laser scribing cycle for inverted perovskite solar *** this work,we propose a study of a laser-patterning technology In_(2)O_(3):SnO_(2)(ITO)conductive layer and a photoactive perovskite layer Cs0,2(CH(NH_(2))_(2))_(0,8)PbI_(3).Process regimes of transparent conducting electrodes based on ITO and halide perovskite layer Cs_(0,2)(CH(NH_(2))_(2))_(0,8)PbI_(3)laser patterning were *** optimal parameters for the multipass mode processing of ITO and perovskite layer were *** cell was electrically isolated at a scribe line width of 30μm.
This study leverages the capabilities of Long Short-Term Memory (LSTM) models in forecasting global Monkeypox infections, thereby demonstrating the significant potential of advanced machine learning techniques in epid...
This study leverages the capabilities of Long Short-Term Memory (LSTM) models in forecasting global Monkeypox infections, thereby demonstrating the significant potential of advanced machine learning techniques in epidemiological forecasting. Our LSTM model effectively navigates the challenges posed by non-stationary time-series data, a common issue in epidemiological studies. It successfully captures the underlying patterns in the data, producing reliable forecasts. The model’s performance was evaluated using several metrics, including RMSE, MSE, MAE, and R 2 , all of which pointed to its robust and satisfactory predictive capabilities. Our findings underscore the significant role LSTM models can play in informing the development of timely and effective disease control and prevention strategies. They thereby contribute to enhancing public health responses to emerging infectious diseases such as Monkeypox. However, despite the promising results, the study highlights the ongoing challenge of enhancing the interpretability of LSTM models, an area that warrants further research. As a future direction, efforts should focus on refining LSTM models to bolster their interpretability, ensuring their broader adoption and utility in public health practice.
The problem of the rational use of energy resources remains constantly relevant and requires the search for new approaches. One of them is power control. In AC circuits, the authors see the most promising method of ph...
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As concurrent software systems become larger, the interaction of their components is becoming more complex. This interaction may limit reuse, making it difficult to validate design and correctness and perhaps forcing ...
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ISBN:
(纸本)0769510809
As concurrent software systems become larger, the interaction of their components is becoming more complex. This interaction may limit reuse, making it difficult to validate design and correctness and perhaps forcing reengineering of these systems in order to meet future requirements. In order to reduce this complexity and to build stable and adaptable concurrent software systems, we present an approach that emphasizes the separation of interaction components from the functional components.
The paper is devoted to the development of a genetic algorithm for finding the optimal values of control parameters of the ethylene oligomerization process. The formulation of the problem of optimal control of the eth...
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ISBN:
(数字)9798350349818
ISBN:
(纸本)9798350349825
The paper is devoted to the development of a genetic algorithm for finding the optimal values of control parameters of the ethylene oligomerization process. The formulation of the problem of optimal control of the ethylene oligomerization process is given. The control parameters are temperature and reaction duration, the values of which are subject to constraints. It is proposed to search for the solution of the formulated problems using a genetic algorithm with real coding. The principle of operation of genetic algorithms is based on the imitation of the processes of evolution of living nature. It includes cyclic application of selection, crossing, mutation and renewal operations to a population of individuals. For each of the problems under consideration the method of representation of the mathematical analog of the population, on the basis of which the solution is searched, is described. A step-by-step genetic algorithm for solving the formulated optimal control problems is given. A computational experiment is carried out, as a result of which the optimal reaction temperature and process duration, at which the target functional takes the largest value, are calculated.
The advent of multicore processors has raised new demand for harnessing concurrency in the software mass market. We summarise our previous work on the data parallel, functional array processing language SaC. Its compi...
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ISBN:
(纸本)1595936904
The advent of multicore processors has raised new demand for harnessing concurrency in the software mass market. We summarise our previous work on the data parallel, functional array processing language SaC. Its compiler technology is geared towards highly runtime-efficient support for shared memory multiprocessors and, thus, is readily applicable to today's off-the-shelf multicore systems. Copyright 2007 ACM.
In the conditions of industrial production many processes of polymerisation are nonstationary. By processes optimization with the regard for such features as basic data it is necessary to use adaptive algorithms of id...
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In the conditions of industrial production many processes of polymerisation are nonstationary. By processes optimization with the regard for such features as basic data it is necessary to use adaptive algorithms of identification, allowing mathematical model of process continuously to be adapted for changing conditions of operation. Use of such algorithms for process optimization demands periodic recalculation of optimum technological modes of process. Polymer reaction engineering is a discipline that deals with various problems concerning the fundamental nature of chemical and physical phenomena in polymerization processes. Mathematical modeling is a powerful tool for the development of process understanding and advanced reactor technology in the polymer industry.
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