Research on Random Discrete Ordinates Method Based on Quasi-Monte Carlo Integration Technique by DAI Tao, XU Longfei, LI Baiwen, SHEN Huayun, HU Yuan, MA Ruiyao

“…To address this defect, numerous of ray effect mitigation methods were developed. The virtual source method is formulated through the strategic introduction of pseudo-source terms into the SN equations, establishing equivalence with spherical harmonics (PN) formulations to eliminate ray effects. …”

Optimization of the road bump and pothole detection technology using convolutional neural network by Ding Haiping, Tang Qianlong

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Electric network topology and method of transmission of electric energy by N. I. Smolentsev, L. M. Chetoshnikova

“…To achieve this goal, a multilevel topology of the electrical network and an asynchronous method for transferring electrical energy between nodes including a load, energy sources, energy storage devices connected in an appropriate manner are proposed. …”
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Identifying Inefficient Urban Residential Land within Shenzhen City: An Approach Using Gaussian Mixture Model and Multi-Source Big Data by Y. Liu, S. Liang, R. Guo, W. Wang, D. Ma, Y. Zheng, L. Zhang, Q. Liu, X. Li

“…To address these issues, this paper employs the Gaussian Mixture Model (GMM) clustering method and integrates multi-source geographical big data to quantitatively characterize land use efficiency. …”
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Comprehensive Optimization of Emergency Evacuation Route and Departure Time under Traffic Control by Guo Li, Ying Zhou, Mengqi Liu

“…Finally, we propose a heuristic algorithm for the optimization of this comprehensive model. In case analysis, we take some areas in Beijing as the evaluation sources to verify the reliability of our model. …”
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Optimizing energy systems of livestock farms with computational intelligence for achieving energy autonomy by Anatoliy Tryhuba, Taras Hutsol, Jonas Čėsna, Inna Tryhuba, Krzysztof Mudryk, Sławomir Francik, Savelii Kukharets, Ivan Mishchenko, Roman Oliinyk

“…The object of research is the energy systems of livestock farms, including traditional and renewable energy sources. The subject of the study is models and methods of optimisation based on computational intelligence used for energy resource management. …”
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Prediction of stock market using sentiment analysis and ensemble learning by Dr․ Archana Y. Chaudhari, Dr․ Smita Mahajan

“…The created computational framework intends to deliver actionable insights, directing investors on optimal buy or sell decisions to maximize profit potential by synthesizing historical data within customized training and trading scenarios. • This study implements the Stock market prediction based on Deep Reinforcement Learning (DRL) using Technical Analysis and financials’ statement. • DRL models like A2C, PPO2, and SAC, using data from Yahoo Finance, enhance investment decisions. • The proposed Policy Adaptation with Trust Region Optimization (PACTRO) method optimizes policy adaptation within trust regions. • Key technical indicators like ROC, MACD, Bollinger Bands, and RSI are crucial inputs for the prediction framework, helping guide optimal investment decisions.…”
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Optimizing Zakat: A Multidisciplinary Analysis of Zakat Utilization for Enhancing Inclusive Education by Ely Fitriani, Ali Mudlofir, Nurisan Doloh

“…The utilization of zakat holds positive value, including the development of inclusive facilities and the enhancement of educational accessibility. The syntax for optimizing zakat for the improvement of inclusive education includes identifying optimal funding sources, strategically allocating funds, implementing transparent and accountable management mechanisms, collaborating with educational institutions and relevant stakeholders, continuous monitoring and evaluation, and educating the community about the philosophy of zakat.…”
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Automatic evaluation and optimization of map registration based on feature overlap area ratio by Jiqiu Deng, Xiaoyan Chen, Dong Zhang

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Optimizing green hydrogen strategies in Tunisia: A combined SWOT-MCDM approach by Sassi Rekik

“…Subsequently, a multi-criteria decision-making approach, employing the gray technique for order preference by similarity to ideal solution (TOPSIS-G) method (validated by gray additive ratio assessment (ARAS-G), gray complex proportional assessment (COPRAS-G), and gray multi-objective optimization by ratio analysis (MOORA-G), was used to rank the identified strategies.The SWOT analysis revealed ''Strengths'' as the most influential factor with a relative weight of 47.3 %, followed by ''Weaknesses'' (26.5 %), ''Threats'' (15.6 %), and ''Opportunities'' (10.6 %). …”
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Study on application-oriented evaluation method for stealth materials by CUI Yiwen, LI Peishan, MA Lianfeng, ZHOU Hai

“…The method improves the shape of the test specimen to weaken the interference of the non-examination scattering source on the test results as much as possible. …”
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Optimal Dispatch Strategy of Power and Electricity Balance Based on Multi-Energy Complementation by Zhiyuan SUN, Boya PENG, Yan SUN

“…Finally, case studies are performed to verify the effectiveness of the proposed method on the modified IEEE-RTS 1979 system model. …”
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Modeling of chronic epilepsy in animals through chemical methods by E. V. Egorova, D. V. Dmitrenko, A. A. Usoltseva, A. M. Iptyshev, N. A. Shnayder, R. F. Nasyrova

“…In 20–40% of cases, according to various sources, it is not possible with standard treatment methods to achieve control over attacks, which significantly impairs the patient’s quality of life, increases economic costs, and poses a difficult task for the doctor to select the optimal treatment to reduce the frequency of attacks. …”
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A Bi-Level Demand Response Framework Based on Customer Directrix Load for Power Systems with High Renewable Integration by Weimin Xi, Qian Chen, Haihua Xu, Qingshan Xu

“…The growing integration of renewable energy sources (RESs) into modern power systems calls for enhanced flexibility and control mechanisms. …”
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Green Chemistry Method for Analyzing Bisphenol A in Milk by Angela M. Encerrado Manriquez, Wen-Yee Lee

“…This optimized “green” method provides an effective alternative for BPA detection in a challenging matrix, e.g., milk. …”
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COMPARATIVE CHARACTERISTICS OF TREATMENT METHODS FOR PATIENTS WITH ODONTOGENIC PHLEGMONS by A.V. Kiptiliy

“…The purpose of the study was to search and analyze scientific sources in Ukraine and the world, regarding the latest methods of treatment of odontogenic phlegmon, features of their course and complications. …”
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Optimizing agricultural biomass selection for biochar production using multicriteria decision-making by Ayodeji Raphael Ige, Grażyna Łaska, Grzegorz Świderski, Grzegorz Zając

“…Given the increasing demand for eco-friendly soil amendments, water treatment efficiency and renewable energy sources, identifying optimal agricultural biomass feedstocks is crucial. …”
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Optimal scheduling of electrical energy in smart buildings based on peer-to-peer transactions by ZHENG Ying, HUANG Hui, QI Qifeng, ZHANG Youbing, MAO Cui, ZHU Kaixiang, FENG Changsen

“…Smart buildings， as prosumers， not only facilitate the local consumption of renewable energy sources （RES） but also coordinate internal flexible loads to reduce electricity consumption costs through peer-to-peer （P2P） electrical energy transactions. …”
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A Novel Optimal Control Strategy of Four Drive Motors for an Electric Vehicle by Chien-Hsun Wu, Wei-Zhe Gao, Jie-Ming Yang

“…This study presents a simulation platform for an electric vehicle with four motors as power sources. This platform also consists of the driving cycle, driver, lithium-ion battery, vehicle dynamics, and energy management system models. …”
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Optimizing Virtual Power Plants with Parallel Simulated Annealing on High-Performance Computing by Ali Abbasi, Filipe Alves, Rui A. Ribeiro, João L. Sobral, Ricardo Rodrigues

“…Rigorous simulations highlight the method’s ability to reduce optimization time, maintain solution quality, and scale efficiently, facilitating real-time decision making in energy markets. …”
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