Diesel Engine Urea Injection Optimization Based on the Crested Porcupine Optimizer and Genetic Algorithm by Xu Chen, Changhai Ma, Quanli Dou, Shuzhan Bai, Ke Sun, Zhenguo Li

“…The urea injection strategies of the Selective Catalytic Reduction (SCR) system are the main factors affecting NOx emissions and NH₃ slips of diesel engines. …”
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Evaluating the RMR correlation with the rock mass wave velocity using the meta-heuristics algorithms by Pouya Koureh Davoodi, Farnusch Hajizadeh, Mohammad Rezaei

“…The diversity of examined rock types, utilizing the cost-effective and easily measurable input variables, and the application of non-destructive robust meta-heuristic algorithms for RMR determination are the main innovations of this study. …”
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Effective Feature Selection on Transfer Deep Learning Algorithm for Thyroid Nodules Ultrasound Detection by Ghufran Basim Alghanimi, Hadeel Aljobouri, Khaleel Akeash Alshimmari, Rasha Massoud

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Developing an algorithm for communicating medical device placement in pediatrics: a focus group study by Sara Lemos, Lígia Lima, Luísa Andrade, Maria do Céu Barbieri-Figueiredo

“…Results: Analysis of the first session confirmed the absence of communication protocols, the importance of interdisciplinary planning and communication, and the potential contribution of an algorithm to bridge these gaps. Three main moments were identified in the communication process: preparing for information, communicating the news and communicating to empower the family. …”
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Efficiency management of engineering projects based on particle swarm multi objective optimization algorithm by Xiu Luo, Zhouxin Yi

“…The multi-objective particle swarm algorithm combines a segmented pulse module and a cloud adaptation module. …”
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The Accuracy of Algorithms Used by Artificial Intelligence in Cephalometric Points Detection: A Systematic Review by Júlia Ribas-Sabartés, Meritxell Sánchez-Molins, Nuno Gustavo d’Oliveira

“…AI systems are being evaluated for their accuracy and efficiency compared to conventional methods performed by professionals. The main objective of this study is to identify the artificial intelligence algorithms that yield the best results for cephalometric landmark localization, along with their learning system. …”
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A Variant of the Growing Neural Gas Algorithm for the Design of an Electric Vehicle Charger Network by Manuel Curado, Diego Hidalgo, Jose L. Oliver, Leandro Tortosa, Jose F. Vicent

“…In this paper, a variant of this iterative neural network algorithm is used with the objective that, from an initial dataset of points in the plane, it calculates a new simplified dataset with the main characteristic that the final set of points maintains the geometric shape and topology of the original set. …”
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WeatherClean: An Image Restoration Algorithm for UAV-Based Railway Inspection in Adverse Weather by Kewen Wang, Shaobing Yang, Zexuan Zhang, Zhipeng Wang, Limin Jia, Mengwei Li, Shengjia Yu

“…However, images captured during complex weather conditions, such as rain, snow, or fog, often suffer from severe degradation, affecting image recognition accuracy. Existing algorithms for removing rain, snow, and fog have two main limitations: they do not adaptively learn features under varying weather complexities and struggle with managing complex noise patterns in drone inspections, leading to incomplete noise removal. …”
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A wireless sensor network for coal mine safety powered by modified localization algorithm by Hafiz Zameer ul Hassan, Anyi Wang, Ghulam Mohi-ud-din

“…Coal mining industry is one of the main source for economy of every nations, whereas safety in the underground coal mining area is still doubtful. …”
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Focusing Highly Squinted FMCW-SAR Data Using the Modified Wavenumber-Domain Algorithm by Tinghao Zhang, Yachao Li, Mingze Yuan, Liang Guo, Jiao Guo, Hao Lin, Mengdao Xing

“…To overcome these issues, a modified wavenumber-domain algorithm is developed in this article. The proposed modified wavenumber-domain algorithm mainly includes the following six aspects. …”
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Large Language Model-Guided SARSA Algorithm for Dynamic Task Scheduling in Cloud Computing by Bhargavi Krishnamurthy, Sajjan G. Shiva

“…Among all challenges, task scheduling is one of the main problems as it reduces system performance due to improper utilization of resources. …”
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Compare of Transient Quality in Automatic Control Systems with Classic PID Algorithm and Optimal Regulator by G. T. Kulakov, K. I. Artsiomenka

“…Currently, about 90–95% of generic controllers use the PID algorithm to generate control actions, while 64% of the PID controllers are used in single-circuit automatic control systems. …”
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Fluid Identification of Deep Low-Contrast Gas Reservoirs Based on Random Forest Algorithm by CAO Yuan, ZHAO Yuanliang, YUAN Xuehua, YUAN Long, RONG Junqing, ZHAO Pan, BIE Kang

“…However, the degree of carbonate cement development is the main factor of the reservoirs with low contrast in the northern well area. …”
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Adjustment algorithm of damper openings of tangentially fired boilers based on secondary air distribution by Weiwei Zhang, Yi Liu, Donghui Yuan, Jun Rong, Ningning Hu, Yuye Chen, Jianlong Ma

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An improved NLOS error mitigation algorithm for 5G positioning in complex urban environments by Song Bao, Wang Bo, Song Kunlin, Quan Shichen, Cui Fang, Deng Zhihong, Fu Mengyin

“…The TOA positioning model utilizes raw TOA measurements and a conventional four-station localization algorithm to estimate the location of user equipment. …”
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Machine heuristic in algorithm aversion: Perceived creativity and effort of output created by or with artificial intelligence by Sigurd Birk Heimstad, Anders Hauge Wien, Tarje Gaustad

“…Products and services labeled as AI-created are perceived differently than identical ones attributed to humans, reflecting the phenomenon of algorithm aversion. This perception gap is partly explained by individuals’ tendency to attribute lower effort and creativity to work produced by AI algorithms. …”
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Optimizing Terminal Water Management in Irrigation District Using Water Balance and Genetic Algorithm by Siyuan Zhao, Jing Chen, Dan Chen, Zhaohui Luo, Bo Bi, Lan Lin, Xinhao Du, Yuanyuan Liu, Qibing Xia

“…Water delivery management in China’s irrigation districts has traditionally prioritized the main canal system, often overlooking the water-saving potential of the final canals and field irrigation, which offer substantial opportunities to enhance water use efficiency and conserve agricultural water resources. …”
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An Algorithm Based on Connectivity Properties for Finding Cycles and Paths on Kidney Exchange Compatibility Graphs by Roger Z. Ríos-Mercado, L. Carolina Riascos-Álvarez, Jonathan F. Bard

“…In addition, an efficient algorithm is developed for detecting violated constraints and solving the problem. …”
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Prediction of Optimum Operating Parameters to Enhance the Performance of PEMFC Using Machine Learning Algorithms by Arunadevi M, Karthikeyan B, Anirudh Shrihari, Saravanan S, Sundararaju K, R Palanisamy, Mohamed Awad, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Abdulrahman Al Ayidh, Hany S. Hussein, Mahmoud M. Hussein, Ahmed I. Omar

“…With a high degree of accuracy, machine learning algorithms (MLAs) can be applied to solve nonlinear problems in FCs, including performance prediction, service life prediction, and fault diagnostics. …”
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Optimizing Solid Oxide Fuel Cell Performance Using Advanced Meta-Heuristic Algorithms by Siva Ram Rajeyyagari, Srinivas Nowduri

“…Our approach utilizes a Radial Basis Function (RBF) neural network trained with experimental data encompassing five input parameters: oxygen concentration, operating temperature, instrumentation, electrolyte thickness, and electrical current, with the goal of optimizing the single output parameter of power. The main novelty of this work lies in the application of six meta-heuristic algorithms for optimizing the weights and biases of the trained RBF network. …”
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