A Discrete Brain Storm Optimization Algorithm for Hybrid Flowshop Scheduling Problems with Batch Production at Last Stage in the Steelmaking-Refining-Continuous Casting Process by Kunkun Peng, Chunjiang Zhang, Weiming Shen, Xinfu Pang, Yanlan Mei, Xudong Deng

“…In this paper, a Discrete Brain Storm Optimization (DBSO) algorithm is proposed to handle SRCC scheduling problems. …”
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LULC change detection and future LULC modelling using RF and MLPNN-Markov algorithms in the uMngeni catchment, KwaZulu-Natal, South Africa by Orlando Bhungeni, Michael Gebreslasie, Ashadevi Ramjatan

“…Thus, the adoption of remote sensing data and Machine Learning Algorithms (MLAs) is a novel approach that provides spatiotemporal data on the environmental changes resulting from LULC dynamics. …”
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Electro-Stimulation System with Artificial-Intelligence-Based Auricular-Triggered Algorithm to Support Facial Movements in Peripheral Facial Palsy: A Simulation Pilot Study by Katharina Steiner, Marius Arnz, Gerd Fabian Volk, Orlando Guntinas-Lichius

“…An artificial intelligence (AI)-based auricular-triggered algorithm is used to classify the intended facial movements. …”
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Adaptive Remaining Capacity Estimator of Lithium-Ion Battery Using Genetic Algorithm-Tuned Random Forest Regressor Under Dynamic Thermal and Operational Environments by Uzair Khan, Mohd Tariq, Arif I. Sarwat

“…This paper proposes an adaptive estimator for the remaining capacity of lithium-ion batteries, leveraging a Genetic Algorithm (GA)-tuned random forest (RF) regressor. …”
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Agreement and correlation between WHO-UMC Causality scale and the Naranjo algorithm for causality assessment of adverse drug reactions at tertiary care center in Northern India by Saurav Misra, Manmeet Kaur, Tirthankar Deb, Amit Kaushik, Abhimanyu Vohra, Kashish Sindhwani, Ashish K. Saranjhna

“…Spearman’s correlation was also used to find the correlation between the two scales. …”
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Forecasting Megaelectron‐Volt Electrons Inside Earth's Outer Radiation Belt: PreMevE 2.0 Based on Supervised Machine Learning Algorithms by Rafael Pires de Lima, Yue Chen, Youzuo Lin

“…Furthermore, based on several kinds of linear and artificial neural networks algorithms, a list of models was constructed, trained, validated, and tested with 42‐month MeV electron observations from Van Allen Probes. …”
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A 3D Multipath Planning Method for Guided Vehicles Using Improved A∗ Algorithm Based on Multiple Avoidance Tactics and Terminal Attack Angles by Jun Huang, Pengfei Wu, Xiaobao Li, Yue Liu

“…Simulation results in two attack situations, three different degrees of freedom modes and 10 real-world scenarios demonstrate that the improved A∗ search algorithm has higher efficiency and better performance than classical algorithms. …”
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On the Extended Simple Equations Method (SEsM) for Obtaining Numerous Exact Solutions to Fractional Partial Differential Equations: A Generalized Algorithm and Several Applications by Elena V. Nikolova

“…It includes not only various forms of fractional traveling wave transformations but also standard traveling wave transformations. Based on these methodological enhancements, a generalized SEsM algorithm has been developed to derive exact solutions of systems of FNPDEs. …”
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A secure data transmission and efficient data balancing approach for 5G‐based IoT data using UUDIS‐ECC and LSRHS‐CNN algorithms by Kusum Yadav, Anurag Jain, Yasser Alharbi, Ali Alferaidi, Lulwah M. Alkwai, Nada Mohamed Osman Sid Ahmed, Sawsan Ali Saad Hamad

“…Authentication, destination selection, validation, secure DT, and also load balancing are the proposed method's five phases. …”
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Ultrasonic localization method based on Chan‐WLS algorithm for detecting power transformer partial discharge faults by fibre optic F‐P sensing array by Hong Liu, Tianhe Yang, Zhixian Zhang, Haoyuan Tian, Yuxuan Song, Qiuxia Sun, Wei Wang, Yunjun Geng, Weigen Chen

“…A sensor installation method is also proposed for introducing a fibre optic F‐P probe into the power transformer interior using a fibre optic penetrator through flange at the power transformer oil change valve. …”
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Development of an Algorithm for a National Microprocessor-Based Centralization System With a Modular Architecture KZ-MPC-MA Featuring Advanced Intelligent Control Functions by Kanibek M. Sansyzbay, Yelena A. Bakhtiyarova, Teodor Iliev, Gennady S. Patokin, Laura T. Tasbolatova, Daniyar B. Sagmedinov

“…The authors also present the architecture and key features of the developing microprocessor-based system. …”
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Application of non-dominated sorting genetic algorithm (NSGA-III) and radial basis function (RBF) interpolation for mitigating node displacement in smart contact lenses by Hanjui Chang, Yue Sun, Shuzhou Lu, Daiyao Lin

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Identification of Immune-Related Genes and Small-Molecule Drugs in Interstitial Cystitis/Bladder Pain Syndrome Based on the Integrative Machine Learning Algorithms and Molecular Do... by Yiheng Jiang, Xinqing Zhu, Abdullah Y. Al-danakh, Qiwei Chen, Deyong Yang

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Adaptive Neuro-Fuzzy Inference System-Genetic Algorithm approach for global maximum power point tracking in PV systems under different shading conditions by Nivine Guler, Zied Ben Hazem, Ali Gunes, Firas Saidi

“…An inherent problem with most conventional global maximum power point tracking (GMPPT) algorithms is that they do not distinguish local and global peaks, and thus energy extraction may not be optimal. …”
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A novel adaptive FOCV algorithm with robust IMRAC control for sustainable and high-efficiency MPPT in standalone PV systems: experimental validation and performance assessment by Hamid Belghiti, Khalid Kandoussi, Ambe Harrison, Fatima Zahra Moustaine, Rabie El Otmani, El Mostafa Sadek, Mohit Bajaj, Shir Ahmad Dost Mohammadi

“…Abstract This paper introduces an innovative, adaptive Fractional Open-Circuit Voltage (FOCV) algorithm combined with a robust Improved Model Reference Adaptive Controller (IMRAC) for Maximum Power Point Tracking (MPPT) in standalone photovoltaic (PV) systems. …”
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Inversion of Water Quality Parameters from UAV Hyperspectral Data Based on Intelligent Algorithm Optimized Backpropagation Neural Networks of a Small Rural River by Manqi Wang, Caili Zhou, Jiaqi Shi, Fei Lin, Yucheng Li, Yimin Hu, Xuesheng Zhang

“…To intuitively evaluate the performance of the hybrid optimization algorithm, its prediction accuracy is compared with that of conventional machine learning algorithms (Random Forest, CatBoost, XGBoost, BPNN, GA–BPNN and PSO–BPNN). …”
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Assessing the effect of ensemble learning algorithms and validation approach on estimating forest aboveground biomass: a case study of natural secondary forest in Northeast China by Hungil Jin, Yinghui Zhao, Unil Pak, Zhen Zhen, Kumryong So

“…Among all ensemble learning algorithms, the SG algorithm has the highest accuracy whereas the XGBoost algorithm has the lowest accuracy. …”
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Optimal Protection Coordination for Grid-Connected and Islanded Microgrids Assisted by the Crow Search Algorithm: Application of Dual-Setting Overcurrent Relays and Fault Current L... by Hossien Shad, Hamid Amini Khanavandi, Saeed Abrisham Foroushan Asl, Ali Aranizadeh, Behrooz Vahidi, Mirpouya Mirmozaffari

“…To solve this complex optimization problem, the Crow Search Algorithm (CSA) is employed, ensuring the derivation of reliable and effective solutions. …”
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Prediction of carbon dioxide emissions from Atlantic Canadian potato fields using advanced hybridized machine learning algorithms – Nexus of field data and modelling by Muhammad Hassan, Khabat Khosravi, Aitazaz A. Farooque, Travis J. Esau, Alaba Boluwade, Rehan Sadiq

“…In this study, three novel machine learning algorithms of additive regression-random forest (AR-RF), Iterative Classifier Optimizer (ICO-AR-RF), and multi-scheme (MS-RF) were explored for carbon dioxide (CO2) flux rate prediction from three agricultural fields. …”
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Towards a long-term dataset of ELBARA-II measurements assisting SMOS level-3 land product and algorithm validation at the Valencia Anchor Station by R. Fernandez-Moran, J. P. Wigneron, E. López-Baeza, M. Miernecki, P. Salgado-Hernanz, M.A. Coll, Y. H. Kerr, M. Schwank

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