Sentiment analysis and emotion classification are two crucial components of natural language processing (NLP), which have been widely explored in recent years due to their broad applications. Sentiment analysis aims t...
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Demand response creates an opportunity for consumers to play an important role in the development of smart *** the advent of renewable energies and their uncertainties,demand response provides a possible solution to r...
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Demand response creates an opportunity for consumers to play an important role in the development of smart *** the advent of renewable energies and their uncertainties,demand response provides a possible solution to resolve these *** addition to demand response schemes in the presence of renewable energy,the personality types of consumers can influence the choice of tariffs and change their electricity *** this paper,first,household residents with different types of personalities are considered as energy ***,the uncertainty of renewable energy sources is considered for the distributed generations scheduling by using a stochastic method called the Here-and-Now approach and considering three tariffs,time of use,real-time pricing,and direct load control in the residential sector to reduce total ***,the tariff choice is compared based on people preferences via various personality types,the Myers-Briggs Type Indicator test,and simulations ***,a probabilistic unit commitment methodology is used for distributed generations scheduling to minimize the total *** financial losses caused by non-optimal tariffs selection are determined through the comparison of *** results show that time of use and direct load control tariffs are optimal ones in summer and winter seasons,respectively.
A company ventures to expand its services from aluminum ship construction to full scale ship management business unit to provide hybrid services on its existing and new clients and further compete on a global scale. T...
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To address the complex, dynamic, and stochastic nature of an automated material handling system (AMHS) in a semiconductor fabrication facility (fab), practitioners have used a high-fidelity discrete-event simulation a...
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This paper deals with a problem of optimizing production, logistics and maintenance in a multi-site, multi-demand fuel refinery. Each site is equipped with one refining machine and parallel storage tanks. The objectiv...
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This paper presents the importance of segmentation methods used in the object analysis in computer vision and image proccessing field, in the automated processes. Image segmentation is a crucial stage of image process...
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Nano-surgical robots are transforming precision medicine by enabling minimally invasive procedures at a microscopic scale. Informative path planning for these robots is critical for ensuring safety, efficiency, and hi...
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Addressing the escalating issue of plastic pollution has become a critical environmental priority due to the global inadequacy in managing rising plastic waste. This study applies the Analytical Hierarchy Process (AHP...
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This paper studies the efficient estimation of expectations defined on convex rare-event sets using importance sampling. Classical importance sampling methods often neglect the geometry of the target set, resulting in...
Cyber-Physical systems (CPS) support industrial automation that incorporates people, hardware, signal, computation, and control using networking to achieve desired results. The complex automated CPS design demands a s...
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