Application of Improved Electromagnetism-like Mechanism Algorithm on Massive Remote Sensing Image Screening by Yingjie Fang, Kun Liu, Xun Zhang, Gang Lin, Huibing Wang, Lina Dong, Su Li

“…To improve the screening efficiency, people usually adopt the greedy algorithm for data screening, which may lead to becoming trapped in a local optimal solution. …”
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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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EPS Current Tracking Method Research Based on Hybrid Sensitivity H∞ Control Algorithm by Hairong Wu, Guangfei Xu, Jian Wu, Xue Han, Jiwei Feng, Shifu Liu, Linglong Bu

“…For electric power steering system (EPS), road interference, noise of the sensor, and the uncertainty of the steering system may make EPS control effect and the driver's road sense worse. …”
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Design and Implementation of Mobile Experiment Algorithm Designer Interface for Network Control System Laboratory by Jahan Zaib Bhatti, Guo-Ping Liu, Shafqat Ali, Nasim Ullah, Ivo Pergl, Lukas Prokop, Vojtech Blazek

“…The application integrates with NCSLab’s back-end services for physical experiments with their output response readily available on mobile devices. Thus, it may serve as an excellent educational tool for students and researchers providing on-the-go accessibility, flexibility and customization of experiment algorithm design for NCSLab resources. …”
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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

“…Further, RSA was benchmarked against the Whale Optimization Algorithm (WOA), Gray Wolf Optimizer (GWO), and Constrained Particle Swarm Optimization (CPSO), and consistently outperformed all three across all models in both forecasting horizons. …”
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Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective. by Md Maeen Molla, Md Sifat Hossain, Md Ayub Ali, Md Raqibul Islam, Mst Papia Sultana, Dulal Chandra Roy

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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

“…Moreover, standard regression-based approaches for interpreting induction logging data may fail to capture intricate signal variations, limiting their effectiveness in real-time decision-making. …”
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Dengue algorithms integrated into the IMCI guidelines: An updated assessment in five Southeast-Asian countries. by Stephanie Petzold, Kerstin D Rosenberger, Bridget Wills, Jacqueline Deen, Martin W Weber, Thomas Jaenisch, IDAMS IMCI study group

“…<h4>Background</h4>Dengue is not included explicitly in the WHO Integrated Management of Childhood Illness (IMCI) algorithm. However, the assessment, classification and management of dengue has been incorporated into several IMCI country adaptations. …”
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Evaluation of different spectral indices for wheat lodging assessment using machine learning algorithms by Shikha Sharda, Sumit Kumar, Raj Setia, Prince Dhiman, N. R. Patel, Brijendra Pateriya, Ali Salem, Ahmed Elbeltagi

“…Recently few studies related to machine learning based wheat lodging have been reported; however, the literature still lacks comprehensive assessments of machine learning algorithms for wheat lodging over Indian agricultural fields. …”
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Update on Erythrodermic Psoriasis: Proposal of a Management Algorithm by an Innovative Severity Evaluation Approach by Xu JM, Wu C, Feng H, Jin HZ

“…Combination therapies are considered when monotherapies prove ineffective. These may involve combining a biologic with a conventional systemic drug or using two to three conventional systemic drugs together to enhance efficacy. …”
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Application of Compensation Algorithms to Control the Speed and Course of a Four-Wheeled Mobile Robot by Gennady Shadrin, Alexander Krasavin, Gaukhar Nazenova, Assel Kussaiyn-Murat, Albina Kadyroldina, Tamás Haidegger, Darya Alontseva

“…This article presents a tuned control algorithm for the speed and course of a four-wheeled automobile-type robot as a single nonlinear object, developed by the analytical approach of compensation for the object’s dynamics and additive effects. …”
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Verification Technical Scheme for Deep Learning Algorithm Based on Interactive Zero Knowledge Protocol by LYU Yanfeng, LYU Xuesheng, HUANG Shenghui, LIANG Qinglei

“…With the further development of nuclear disarmament and nuclear safeguards policies, future nuclear arms control agreements may limit all tactical nuclear warheads in the arsenal, as well as deployed and planned strategic nuclear warheads. …”
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Application of machine learning algorithm incorporating dietary intake in prediction of gestational diabetes mellitus by Tianze Ding, Peijie Liu, Jie Jia, Hui Wu, Jie Zhu, Kefeng Yang

“…Conclusion: XGBoost and LightGBM algorithms outperform logistic regression in predicting GDM among Chinese pregnant women. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Furthermore, the results demonstrate the strong predictive capability of machine learning algorithms in assessing operational risk, highlighting their potential as valuable decision-making tools for risk management in the banking sector.Keywords: Risk Prediction, Operational Risk, Risk Management, Machine Learning IntroductionOperational risk is defined as the risk arising from external factors or failures in internal controls or information systems, which may lead to both anticipated and unexpected losses (Crouchy et al., 1998). …”
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Estimation of soil free Iron content using spectral reflectance and machine learning algorithms by Wanzhu Ma, Hongkui Zhou, Hao Hu, Zhiqing Zhuo, Kangying Zhu, Guangzhi Zhang

“…The average model R 2 , RMSE, and RRMSE following PCA were 0.821, 5.260 g/kg, and 23.9% in training and 0.692, 6.744 g/kg, and 30.9% in testing, which had a higher R 2 and lower RMSE and RRMSE than when using the full and correlated spectra. Over-fitting may have occurred in our study when employing the CR transform and RF algorithm. …”
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Optimization of IMU-based bending strain solving algorithm and full-scale experimental validation by Tong SHI, Xiaoben LIU, Lin ZHANG, Jun WANG, Rui LI, Ting Xie, Qingshan FENG, Qiyu HUANG

“…Moreover, a solving algorithm optimized through an ANNExtraTree deep learning model was introduced. …”
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Distributed Secure Economic Dispatch Strategy Based on Robust Graph Theory and W-MSR Algorithm by Jian Le, Jing Wang, Hongke Lang, Weihao Wang

“…Based on the idea of the W-MSR algorithm that deletes the information received from nodes that may be attacked, a distributed security consensus-based economic dispatch strategy is synthetized with the incremental cost of the power generation unit as the consensus variable. …”
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A New Model for Enhancing Efficiency in On-Chip Optical ‎Networks Based on Adaptive Routing Algorithm.‎ by Mohammadreza Hemmati, Sayed Mohammad Ali Zanjani, Elham Yaghoubi

“…Therefore, providing an error-tolerant routing algorithm plays a crucial role in the development of on-chip network architecture. …”
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An Electronic System for Summer Training Students Distribution in Organizations with Comparative Study of Association Rule Algorithms by Anhar Khairualdeen Mohammed, Suhair Abid Dawood

“… The training of students is considered as one of the most promising forms of training to inform students with the reality of practical environment and what they require from serious and exact work. It may give the chance to other public sector organizations to be acquainted with the students' abilities and skills, in addition to the benefits of informing youths to join summer vocation. …”
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An Energy-Efficient and Relay Hop Bounded Mobile Data Gathering Algorithm in Wireless Sensor Networks by Ling Chen, Jianxin Wang, Xiaoqing Peng, Xiaoyan Kui

“…Hence it may significantly increase the data gathering latency. …”
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