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Ibrar Ullah and Sajjad Hussain
This paper proposes two bio-inspired heuristic algorithms, the Moth-Flame Optimization (MFO) algorithm and Genetic Algorithm (GA), for an Energy Management System (EMS) in smart homes and buildings. Their performance in terms of energy cost reduction, mi...
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Ying-Hua Chang and Chen-Wei Huang
Navigating the stock market?s unpredictability and reducing vulnerability to its volatility requires well-informed decisions on stock selection, capital allocation, and transaction timing. While stock selection can be accomplished through fundamental ana...
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Emmanuel Hernández-Mayoral, Manuel Madrigal-Martínez, Jesús D. Mina-Antonio, Reynaldo Iracheta-Cortez, Jesús A. Enríquez-Santiago, Omar Rodríguez-Rivera, Gregorio Martínez-Reyes and Edwin Mendoza-Santos
Microgrids (MGs) are systems that cleanly, efficiently, and economically integrate Renewable Energy Sources (RESs) and Energy Storage Systems (ESSs) to the electrical grid. They are capable of reducing transmission losses and improving the use of electri...
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Andrew J. Riad, Hany M. Hasanien, Rania A. Turky and Ahmed H. Yakout
The artificial rabbits optimization (ARO) algorithm is proposed in this article to find the optimum values for uncertain parameters for the proton exchange membrane fuel cell (PEMFC) model. The voltage?current polarization curve of the PEMFC is nonlinear...
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Mohammad Hijji, Tzu-Chia Chen, Muhammad Ayaz, Ali S. Abosinnee, Iskandar Muda, Yury Razoumny and Javad Hatamiafkoueieh
Total dissolved solid prediction is an important factor which can support the early warning of water pollution, especially in the areas exposed to a mixture of pollutants. In this study, a new fuzzy-based intelligent system was developed, due to the unce...
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Vasilios Patsias, Petros Amanatidis, Dimitris Karampatzakis, Thomas Lagkas, Kalliopi Michalakopoulou and Alexandros Nikitas
Task allocation in edge computing refers to the process of distributing tasks among the various nodes in an edge computing network. The main challenges in task allocation include determining the optimal location for each task based on the requirements su...
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Mateusz Malarczyk, Grzegorz Kaczmarczyk, Jaroslaw Szrek and Marcin Kaminski
This paper presents the operation of a remotely controlled, wheel-legged robot. The developed Wi-Fi connection framework is established on a popular ARM microcontroller board. The implementation provides a low-cost solution that is in congruence with the...
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Daniyal Asif, Mairaj Bibi, Muhammad Shoaib Arif and Aiman Mukheimer
Heart disease is a significant global health issue, contributing to high morbidity and mortality rates. Early and accurate heart disease prediction is crucial for effectively preventing and managing the condition. However, this remains a challenging task...
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Taha Selim Ustun
There is a constant push towards increasing use of renewable energy-based distributed generators around the globe. While they provide a clean and sustainable source of energy, they employ technologies that are unknown to traditional power systems. These ...
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Aliyu Sabo, Theophilus Ebuka Odoh, Hossien Shahinzadeh, Zahra Azimi and Majid Moazzami
This study performed a comparative analysis of five new meta-heuristic algorithms specifically adopted based on two general classifications; namely, nature-inspired, which includes artificial eco-system optimization (AEO), African vulture optimization al...
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Krit Sriworamas, Haris Prasanchum, Seyed Mohammad Ashrafi, Rattana Hormwichian, Rapeepat Techarungruengsakul, Ratsuda Ngamsert, Teerajet Chaiyason and Anongrit Kangrang
This paper presents a comprehensive review of optimization algorithms utilized in reservoir simulation-optimization models, specifically focusing on determining optimal rule curves. The study explores critical conditions essential for the optimization pr...
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Olli Jansson and Matthew W. Harris
This paper presents new techniques for the trajectory design and control of nonlinear dynamical systems. The technique uses a convex polytope to bound the range of the nonlinear function and associates with each vertex an auxiliary linear system. Provide...
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Konstantinos I. Roumeliotis and Nikolaos D. Tselikas
In the present-day digital landscape, websites have increasingly relied on digital marketing practices, notably search engine optimization (SEO), as a vital component in promoting sustainable growth. The traffic a website receives directly determines its...
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Sabrina Mechati, Meriem Zamouche, Hichem Tahraoui, Oumaima Filali, Safa Mazouz, Iheb Nour Elhak Bouledjemer, Selma Toumi, Zakaria Triki, Abdeltif Amrane, Mohammed Kebir, Sonia Lefnaoui and Jie Zhang
This study conducts a comprehensive investigation to optimize the degradation of crystal violet (CV) dye using the Fenton process. The main objective is to improve the efficiency of the Fenton process by optimizing various physicochemical factors such as...
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Kujtim Avdiu
This article deals with the identification of a superior forecasting method for market liquidity using a calibrated Heston model for the bid/ask price path simulation instead of a standard Brownian motion, as well as a compound Poisson process and invers...
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Chao-Chung Hsu, Bi-Hai Jiang and Chun-Cheng Lin
To enable highly automated manufacturing and net-zero carbon emissions, manufacturers have invested heavily in smart manufacturing. Sustainable and smart manufacturing involves improving the efficiency and environmental sustainability of various manufact...
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Muhammad Abid Jamil, Mohamed K. Nour, Saud S. Alotaibi, Mohammad Jabed Hussain, Syed Mutiullah Hussaini and Atif Naseer
Currently, software development is more associated with families of configurable software than the single implementation of a product. Due to the numerous possible combinations in a software product line, testing these families of software product lines ...
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Ana Jurinjak Tu?ek, Dunja ?amec and Anita ?alic
Flavonoids, specialized metabolites found in plants, have a number of beneficial properties and are important for maintaining good health. Efficient extraction methods are required to extract the most bioactive compounds from plant material. Modern techn...
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Ronald Ravinesh Kumar, Peter Josef Stauvermann and Aristeidis Samitas
In this paper, we apply the Markowitz portfolio optimization technique based on mean-variance and semi-variance as measures of risk on stocks listed on the South Pacific Stock Exchange, Fiji. We document key market characteristics and consider monthly re...
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Simone A. Rocha, Thiago G. Mattos, Rodrigo T. N. Cardoso and Eduardo G. Silveira
This study presents applications of artificial neural networks and nonlinear optimization techniques for fault location in transmission lines using simulated data in an electromagnetic transient program and actual data occurring in transmission lines. Th...
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