Adept Domestic Energy Load Profile Development Using Computational Intelligence-Based Modelling by Olawale Popoola, Agnes Ramokone, Ayokunle Awelewa

“…This will translate into power system reliability, reduce operation cost (lowest cost), and reduce greenhouse emissions (environmental pollution), thereby cumulating into sustainable cities.…”
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The financial character of policing in Tunisia: collusions, extraversion and the criminalization of informality by Daniela Musina

“…Firstly, it generates a legal expansion of the financial policing assemblage, including in its repressive outcomes, and the making of exception that has to be understood in its performative, experimental and relational character, and not as ontologically absolute. Secondly, the related creation of new institutions that, although having little power on their own and being substantially controlled by the presidential power and that of the Ministry of Interior, are embedded in transnational networks and serve to channel extraverted strategies vis à vis donors and external partners. …”
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Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan by Aayushi Tandon, Amit Awasthi, Kanhu Charan Pattnayak, Aditya Tandon, Tanupriya Choudhury, Ketan Kotecha

“…Abstract This research explores the potential of solar power as an eco-friendly alternative to fossil fuels, focusing on Rajasthan, India. …”
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Improving of the Generation Accuracy Forecasting of Photovoltaic Plants Based on <i>k</i>-Means and <i>k</i>-Nearest Neighbors Algorithms by P. V. Matrenin, A. I. Khalyasmaa, V. V. Gamaley, S. A. Eroshenko, N. A. Papkova, D. A. Sekatski, Y. V. Potachits

“…One of the ways to improve the accuracy of forecast models is a deep analysis of meteorological conditions as the main factor affecting the power generation. In this paper, a method for adapting of forecast models to the meteorological conditions of photovoltaic stations operation based on machine learning algorithms was proposed and studied. …”
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Gaullism and Atlanticism are Main Foreign Policy Paradigms of the Fifth Republic by D. Y. Mikhailov

“…Gaullism calls on France to preserve its status as a world power at any cost. Atlanticism serves the geostrategic purpose of maintaining American military and political control over Europe. …”
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Fractional Analysis of MHD Boundary Layer Flow over a Stretching Sheet in Porous Medium: A New Stochastic Method by Imran Khan, Hakeem Ullah, Hussain AlSalman, Mehreen Fiza, Saeed Islam, Muhammad Shoaib, Muhammad Asif Zahoor Raja, Abdu Gumaei, Farkhanda Ikhlaq

“…In this article, an effective computing approach is presented by exploiting the power of Levenberg-Marquardt scheme (LMS) in a backpropagation learning task of artificial neural network (ANN). …”
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Photovoltaic and Charge Trapping Characteristics of Screen-Printed Monocrystalline Silicon Solar Cells with Molybdenum Oxides as Hole-Selective Layers by H2/Ar Plasma Pretreatment by Chin-Lung Cheng, Chi-Chung Liu, Chih-Chieh Hsu

“…The PPT parameters, including power, treated time, flow ratio of H2/Ar, and temperature, were investigated. …”
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Prediction of the Loss of Feed Water Fault Signatures Using Machine Learning Techniques by Anselim M. Mwaura, Yong-Kuo Liu

“…Fault diagnosis occurrence and its precise prediction in nuclear power plants are extremely important in avoiding disastrous consequences. …”
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Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

“… Human intervention cannot halt natural disasters like earthquakes, but machine learning application expertise can be utilized to detect patterns in data and increase understanding and predictive power. Recent development of machine learning models has increasingly developed interest in forecasting and predicting the magnitude of earthquakes. …”
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A Comparative Study of Mulla Sadra and Plantinga’s Views on the Issue of Evil by Masoumeh Ameri, Farida Rezaei

“…Plantinga, on the other hand, seeks to demonstrate the non-contradiction of the logical issue of evil in light of God’s absolute power by using possible worlds and the relationship between human free will and divine omnipotence. …”
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Disturbance Observer-Based Super-Twisting SMC for Variable Speed Wind Energy Conversion System Under Parametric Uncertainties by Ahmad Bala Alhassan, Muhammad Auwal Shehu, Vijayakumar Gali, Ton Duc do

“…Effective control of the generator&#x2019;s shaft speed will ensure maximum power is captured from the wind turbines. However, the parameters of the wind energy conversion system (WECS)-based generators, including stator resistance and inductance, could change over time due to power loss, winding degradation, or core saturation. …”
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Geomagnetically Induced Current Modeling in New Zealand: Extreme Storm Analysis Using Multiple Disturbance Scenarios and Industry Provided Hazard Magnitudes by D. H. Mac Manus, C. J. Rodger, M. Dalzell, A. Renton, G. S. Richardson, T. Petersen, M. A. Clilverd

“…We show that these at‐risk transformers are not localized to any specific region of New Zealand but extend across all regions and include most of the major population centers. A peak mean absolute GIC over a 60‐min window of 920–2,210 A and an instantaneous 1‐min time resolution maximum GIC of 1,590–4,920 A occurs for a worst‐case extreme storm scenario. …”
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Screening for coronary artery disease among cancer survivors: rationale and design of the REDEEM-CAD study by Cheng Hwee Soh, Joel Smith, Shristy Shrestha, Mark Nolan, Joshua Wong, Nitesh Nerlekar, Thomas H. Marwick

“…Secondary endpoint includes the absolute change in total coronary plaque volume over 24 months among those imaged at baseline and follow-up. …”
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Definition and Properties of the Libera Operator on Mixed Norm Spaces by Miroslav Pavlovic

“…As an application of 3∘ we have a generalization of Bernstein’s theorem on absolute convergence of power series that belong to a Hölder class.…”
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Research on Monthly Runoff Forecast in Beijiang River Basin Based on Multi-model Ensemble Method by ZHONG Yixuan, LIAO Xiaolong, QUAN Xujian, YI Ling, CHEN Yan, LI Yuanyuan, XUE Jiao

“…The accuracy of the monthly runoff forecast plays a fairly important role in aspects such as optimal allocation of water resources,flood control and drought relief in a basin,water dispatching,and power generation optimization of reservoir groups.The commonly used methods for the monthly runoff forecast mainly include water balance models,mathematical statistics models,and artificial neural networks.Studies have shown that any single model cannot achieve the optimal monthly runoff forecast.Therefore,the multi-model ensemble method provides an effective way to eliminate model uncertainty and improve the accuracy of the monthly runoff forecast.Specifically,the research takes Pingshi,Lishi,Hengshi,and Shijiao stations in the Beijiang River Basin as the research object to analyze and compare the effects of the seasonal auto-regressive (SAR) model,two-parameter monthly water balance (TPMWB) model,and artificial neural network (ANN) model.Then,the multi-model ensemble method for the above-mentioned stations is proposed on the basis of the Bayesian model averaging (BMA) method.The research results reveal that compared with any of the three models,the multi-model ensemble method has significantly improved the accuracy of the monthly runoff forecast with a higher determination coefficient (DC) and a lower mean absolute percentage error (MAPE),and thus it can provide better support for decisions in dispatching in the basin.…”
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İngiliz Arşiv Belgelerine Göre Cidde Anlaşması’nın İmzalanma Sürecinde İbn-i Suud-İngiliz Görüşmeleri by Mustafa BOSTANCI

“…Abdulaziz Ibn Saud, the founder of the State of Saudi Arabia, cooperated with the British to increase his power in the Arabian Peninsula and signed a special agreement with Britain on December 26, 1915. …”
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Dynamic analysis of the flexible protection system for electricity transmission engineering by Y. Gu, Z. Gu, Z. Yu, P. Lan, N. Lu

“…In this investigation, the absolute nodal coordinate formulation cable element is used to model the transmission wire and the nylon rope net. …”
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A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

“…It is challenging to find the best PEMFC parameters because the model is complex and the problem is nonlinear; not all optimization algorithms can solve this problem. This paper presents a new approach that applies QUasi-Affine TRansformation Evolution algorithm with a new adaptation of Evolution Matrix and Selection operation (QUATRE-EMS) to determine optimal values of uncertain parameters in PEMFC stack references. …”
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The Application of the Homotopy Perturbation Method and the Homotopy Analysis Method to the Generalized Zakharov Equations by Hassan A. Zedan, Eman El Adrous

“…We introduce two powerful methods to solve the generalized Zakharov equations; one is the homotopy perturbation method and the other is the homotopy analysis method. …”
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A High Accuracy Capacitance-to-Digital Converter with Improving Nonidealities Effects by Arash Ahmadpour, Mehdi Fallah Kazemi

“…This paper presents a high-precision capacitance-to-digital converter (CDC) based on period-modulation (PM) for grounded capacitive sensors. …”
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