Assessing generalizability of Deep Reinforcement Learning algorithms for Automated Vulnerability Assessment and Penetration Testing by Andrea Venturi, Mauro Andreolini, Mirco Marchetti, Michele Colajanni

“…The results show that the algorithm using A2C DRL agent outperforms the others because it is more adaptable to unknown hosts and converges faster. …”
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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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Multistep PV power forecasting using deep learning models and the reptile search algorithm by Sameer Al-Dahidi, Hussein Alahmer, Bilal Rinchi, Abdullah Bani-Abdullah, Mohammad Alrbai, Osama Ayadi, Loiy Al-Ghussain

“…Results show that TFT consistently outperforms the other models, achieving Root Mean Square Error (RMSE) values of 6.256 kWh and 8.353 kWh and coefficient of determination (R²) scores of 98.92 % and 98.07 % for the one-day and three-day forecasts, respectively. …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…The evaluation performed using R-square and root mean square error to validate the proposed approach revealed values of 0.887 and 0.0091. …”
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Visual SLAM algorithm for underground robots in coal mines based on point-line features by Li WANG, Tianxiang ZANG, Bo SU

“…The experimental results on the EuRoC dataset show that the APE(Absolute Pose Error) index of SL-SLAM is better than other comparison algorithms, and the trajectory prediction results closest to the true value are obtained, and the root mean square error is reduced by 17.3% compared with ORB-SLAM3. …”
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Development of Hybrid Neutron Dynamics Algorithm Based on Transient Fission Matrix Combined Method by LI Yuehang, HE Donghao, LIU Xiaojing, PAN Qingquan

Voice pathology detection using machine learning algorithms based on different voice databases by Nurul Mu'azzah Abdul Latiff, Fahad Taha Al-Dhief, Nurul Fariesya Suhaila Md Sazihan, Marina Mat Baki, Nik Noordini Nik Abd. Malik, Musatafa Abbas Abbood Albadr, Ali Hashim Abbas

“…The proposed study uses the Mel-Frequency Cepstral Coefficient (MFCC) technique for extracting features from voices. The algorithms are assessed using many evaluation metrics such as accuracy, precision, sensitivity, specificity, F-measure, and G-mean. …”
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Improving kinetic model fitting for total titratable acidity in bananas using genetic algorithms by Alejandro Kevin Méndez Castillo, Elizabeth Contreras López, Jesús Guadalupe Pérez Flores, Laura García Curiel, Emmanuel Pérez Escalante, Karla Soto Vega, Carlos Ángel-Jijón, Alicia Cervantes Elizarrarás

“…For optimization, Python-based GA was used to minimize the mean squared error (MSE) and evaluate performance based on R2, AIC, and BIC. …”
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Third or fourth branchial pouch sinus lesions: a case series and management algorithm by Yun Li, Kexing Lyu, Yihui Wen, Yang Xu, Fanqin Wei, Haocheng Tang, Siyu Chen, Zhangfeng Wang, Xiaolin Zhu, Weiping Wen, Wenbin Lei

“…Abstract Background The purpose of this study was to develop an effective management algorithm for lesions of third or fourth branchial sinuses. …”
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Obstacle avoidance algorithm based on sub-image segmentation and mapping point cloud space by Liya ZHANG, Chenxin LI, Bin LIU, Zhifang YANG

“…In order to improve the obstacle avoidance ability of mine inspection robots under long-distance and complex working conditions, adjust the travel route in real time and achieve the avoidance of obstacles, based on the inspection and obstacle avoidance system with the fusion of multi-source sensing of infrared cameras and lidars, the main work is as follows: A robot obstacle avoidance algorithm based on sub-image segmentation and mapping of point cloud space is proposed. …”
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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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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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