Research on rolling bearing compound fault diagnosis based on AMOMCKD and convolutional neural network by Runfang Hao, Yunpeng Bai, Kun Yang, Yongqiang Cheng, Shengjun Chang

“…Firstly, the key parameters of MCKD are optimized using the adaptive Non-dominated Sorting Genetic Algorithm (NSGA-II) with a new multi-objective evaluation index Hyperarea (HA). …”
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Smart solutions for dissolved oxygen control in semi-batch fermenters: A machine learning approach by J. Sumathi, P. Aravind, G. Gandhimathi

“…Parameters Root Mean Squared Error (RMSE) and the correlation coefficient (R-square) were used to evaluate the performance of each model and mathematical modeling for correlation co-efficient of all algorithms are also presented. …”
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Self-adaptive multi-population quadratic approximation guided jaya optimization applied to economic load dispatch problems with or without valve-point effects by Sukriti Patty, Rajeev Das, Dharmadas Mandal, Provas Kumar Roy

“…SMP-JaQA, was originally proposed to address constrained optimization problems, adapts the positions of search agents based on the best solutions identified in each generation to converge efficiently to the optimal solution. To evaluate its performance, The algorithm is tested on six systems with 10, 38, 40, 110, 140, and 160 generating units. …”
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Clustering and Interpretability of Residential Electricity Demand Profiles by Sarra Kallel, Manar Amayri, Nizar Bouguila

“…This study assesses which CVIs provide reliable evaluations independent of clustering algorithm sensitivity. …”
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Dynamic Grouping Control of BESS for Remaining Useful Life Extension and Overall Energy Efficiency Improvement in Smoothing Wind Power Fluctuations by Yang Yu, Dongyang Chen, Yuwei Wu, Boxiao Wang, Yuhang Huo, Wentao Lu, Zengqiang Mi

“…Subsequently, an RUL evaluation model based on the swing door trend algorithm is built to shorten required calculation time. …”
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Simulation of Vertical Movements of Seawater in Stratified Reservoirs by N. V. Kudinov, A. A. Filina, A. V. Nikitina, D. V. Bondarenko, I. F. Razveeva

“…Chetverushkin, a linear combination of the Upwind and Standard Leapfrog difference schemes in aggregate has not been implemented and evaluated before. …”
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Improved YOLOv5s With Coordinate Attention for Small and Dense Object Detection From Optical Remote Sensing Images by Qinggang Wu, Yonglei Wu, Yang Li, Wei Huang

“…Second, since various scales of objects are present in HRRSIs, the algorithm of differential evolution is adopted to replace the traditional K-means for generating a variety of anchor boxes in different sizes. …”
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Can Integrating SoC Management in Economic Dispatch Enhance Real-Time Operation of a Microgrid? by Alessia Cagnano

“…To enable real-time adaptability, the methodology employs a Lyapunov-based optimization algorithm combined with a sensitivity analysis, ensuring rapid convergence to optimal solutions, even under rapidly changing conditions. …”
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Novel fusion of color balancing and superpixel based approach for detection of tomato plant diseases in natural complex environment by Saiqa Khan, Meera Narvekar

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Addressing ORPD problem in a standard IEEE power network accompanied with RESs and FACTs appliances by COMMKE under volatile load scenarios by Susanta Dutta, Tushnik Sarkar, Chandan Paul, Sabbir Reza Tarafdar, Provas Kumar Roy, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…The objectives have been achieved by the use of the COMMKE algorithm, a multi-trial vector-based monkey king evolution (MMKE) method integrated with oppositional based learning (OBL) and chaotic based learning (CBL). …”
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Facial Expression Recognition and Digital Images Infosecurity for Prevention Care System Application in Sudden Infant Death Syndrome Monitoring by Chih-Te Tsai, Chia-Hung Lin, Hsiang-Yueh Lai, Yu-En Cheng, Ping-Tzan Huang, Neng-Sheng Pai, Chien-Ming Li

“…Thus, to ensure secure SIDS monitoring, the SAES-based scheme implements robust block encryption and decryption processes to protect the privacy and security of infant images, while the YOLOv10 model enhances real-time OD, feature extraction, and pattern recognition capabilities. In experimental evaluations, a dataset of 5000 different facial expression images was self-collected and labeled with four classes of expressions. …”
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Optimal Power Flow: A Review of State-of-the-Art Techniques and Future Perspectives by Ahmed Babiker, Sulaiman S. Ahmad, Ijaz Ahmed, Muhammad Khalid, Mohammad A. Abido, Fahad Saleh Al-Ismail

“…Additionally, it explores the evolution of these methods from conventional approaches to advanced and recent techniques, including mathematical methods and artificial intelligence methods, which include metaheuristic (search-based) and machine learning algorithms (data-driven). …”
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Optimization of a Novel FOPIDN-(1+PIDN) Controller for Renewable Integrated Multi-Area Load Frequency Control System With Non-Linearities by Shreekanta Kumar Ojha, Maddela Chinna Obaiah

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Linear regressive weighted Gaussian kernel liquid neural network for brain tumor disease prediction using time series data by Firoz Khan, Sardar Irfanullah Amanullah, Shitharth Selvarajan

“…Brain tumors develop in various regions of the brain, each affecting different functions such as movement, speech, and vision, depending on their location. …”
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A New Approach for Determination of Seed Distribution Area in Vertical Plane by Alper Gülbe, Sefa Altıkat

“…For this purpose, the different calculation methods of seed distribution area namely, standard deviational ellipse, voronoi polygons with delaunay triangulation, integral method, and developed one, the concave hull algorithm was considered and compared in this study. …”
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Offensive Language Detection in Turkish Language by Using NLP by Rüştü Murat Demirer, Bekir Furkan Kesgin

“…These findings provide insights into the effectiveness of different algorithms for offensive language detection. …”
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Formation of Instantaneous Differential and Restraining Cur-rents for Differential Protection of Busbar Assemblies by V. S. Kachenya, M. S. Loman

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Randomised controlled trial to evaluate the effectiveness of using the RD-1-based C-Tb skin test as a replacement for blood-based interferon-γ release assay for detection of, and i... by Marc Lipman, Ibrahim Abubakar, Chris Griffiths, Penny Whiting, Robert Horne, Alex Ghanouni, Heinke Kunst, Mike Mandelbaum, Molebogeng X Rangaka, Karen Sanders, Peter J White, Angela Crook, Dominik Zenner, Trinh Duong, Vanessa Hack, Julian Surey, Yohhei Hamada, Henry Bern, Joanna Calvert, Marie Francis, Amy Louise Clarke, Ellen Owen-Powell, Helen L Booth

“…Introduction The predictive utility for incident tuberculosis (TB) of the purified protein derivative tuberculin skin test and region of difference 1 (RD1)-based interferon-gamma release assays (IGRA) is comparable; and either is recommended to test for latent TB infection (LTBI). …”
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Optimization method of investment package based on Markowitz portfolio theory by A. D. Baydalin

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RLDEAO optimized of air quality data clustering analysis(RLDEAO优化的空气质量数据聚类分析) by 田闯(TIAN Chuang), 黄鹤(HUANG He), 杨澜(YANG Lan), 王会峰(WANG Huifeng), 茹锋(RU Feng)

“…In view of this deficiency, we propose the adaptive dimension-by-dimension keyhole imaging reverse learning strategy, Levy flight combined with stagnation perturbation strategy and mutation evolution of the survival of the fittest to improve the search performance of the algorithm, thus avoiding local optimization; Secondly, a weighted maximum minimum distance product (WMMP) is designed to calculate the cluster center point, which can reflect the importance of each feature in the data and play a good role to improve the clustering results; Finally, RLDEAO and WMMP are combined to optimize K-means complementary iteration. …”
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