Enhancing PEM fuel cell efficiency with flying squirrel search optimization and Cuckoo Search MPPT techniques in dynamically operating environments by Assala Bouguerra, Abd Essalam Badoud, Saad Mekhilef, Badreddine Kanouni, Mohit Bajaj, Ievgen Zaitsev

“…We evaluate the efficacy of Flying Squirrel Search Optimization (FSSO) and Cuckoo Search (CS) algorithms in adapting to varying conditions, including fluctuations in pressure and temperature. …”
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A Generic Data Analytics System for Manufacturing Production by Hao Zhang, Hongzhi Wang, Jianzhong Li, Hong Gao

“…Some noteworthy techniques were developed in GMDA such as proper algorithm selection strategy and an optimal parameter determination algorithm. …”
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Zero-TCE: Zero Reference Tri-Curve Enhancement for Low-Light Images by Chengkang Yu, Guangliang Han, Mengyang Pan, Xiaotian Wu, Anping Deng

“…We compare our proposed method against ten other advanced algorithms based on multiple datasets, including LOL, DICM, MEF, NPE, and ExDark, that encompass complex illumination variations. …”
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Study on the temperature prediction model of residual coal in goaf based on ACO-KELM by ZHAI Xiaowei, WANG Chen, HAO Le, LI Xintian, HOU Qinyuan, MA Teng

“…Compared to the prediction models based on extreme learning machine (ELM) and random forest (RF) algorithms, the ACO-KELM model achieved an average absolute error of 0.0701 ℃ and a root mean square error (RMSE) of 0.0748 ℃ on the test set, reducing these errors by 65% and 195%, respectively, compared to the ELM-based model, and by 53% and 156%, respectively, compared to the RF-based model. …”
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Assessment of Rainfall Frequencies from Global Precipitation Datasets by Xueyi Yin, Ziyang Zhang, Zhi Lin, Jun Yin

“…These differences across most regions of the world should be interpreted as the inherent biases associated with the model structure or algorithms used for deriving precipitation data and cannot be reduced simply by increasing the data resolutions. …”
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Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies by Mohamed Ahwiadi, Wilson Wang

“…Data-driven techniques leverage historical data, AI, and machine learning algorithms to identify degradation trends and predict RUL, which can provide flexible and adaptive solutions. …”
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A Prediction Method of Electromagnetic Environment Effects for UAV LiDAR Detection System by Min Huang, Dandan Liu, Liyun Ma, Jingyang Wang, Yuming Wang, Yazhou Chen

“…The method consists of Extreme Gradient Boosting algorithm (XGB), Gradient Boosting Decision Tree algorithm (GBDT), K Nearest Neighbor algorithm (KNN), and Decision Tree algorithm (DT). …”
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Automated Fillet Weld Inspection Based on Deep Learning from 2D Images by Ignacio Diaz-Cano, Arturo Morgado-Estevez, José María Rodríguez Corral, Pablo Medina-Coello, Blas Salvador-Dominguez, Miguel Alvarez-Alcon

“…Following an extensive review of available solutions, algorithms, and networks based on this convolutional strategy, it was determined that the You Only Look Once algorithm in its version 8 (YOLOv8) would be the most suitable for object detection due to its performance and features. …”
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Efficient guided inpainting of larger hole missing images based on hierarchical decoding network by Xiucheng Dong, Yaling Ju, Dangcheng Zhang, Bing Hou, Jinqing He

“…Abstract When dealing with images containing large hole-missing regions, deep learning-based image inpainting algorithms often face challenges such as local structural distortions and blurriness. …”
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Using Artificial Intelligence to Analyze Nature of Science Themes: Einstein and Eddington Documentary Film Example by Yusuf Kartal, Munise Seckin-Kapucu

“…In a technology and media-oriented environment, text-processing algorithms and various artificial learning approaches are crucial and continue to develop. …”
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Tongue Color Analysis and Diseases Detection Based on a Computer Vision System by Abdulghafor Khudhaer Abdullah, Saleem Lateef Mohammed, Ali Al-Naji, Mohammed Sameer Alsabah

“…Quantitative diagnosis of the tongue requires some devices, including image acquisition devices such as cameras, light sources, filters, color checkers, image analysis and processing devices through the application of some algorithms or image processing and color correction software, as well as a computer. …”
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Spatial statistical analysis for the design of indoor particle-filter-based localization mechanisms by Jesus Martínez-Gómez, Miguel Martínez del Horno, Manuel Castillo-Cara, Víctor Manuel Brea Luján, Luis Orozco Barbosa, Ismael García-Varea

“…In this article, we develop a methodology incorporating various algorithms capable of coping with the unpredictable nature of radio channels. …”
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Optimization of centrifugal compressor stages by E. V. Dubinin, B. F. Idiyatullin, N. G. Khasanov

“…The article describes а hydraulic efficiency increase in the centrifugal compressor stage using automatic optimization algorithms. The optimization criterion is the polytropic efficiency of the intermediate compressor stage. …”
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Time Domain Equalization and Digital Back-Propagation Method-Based Receiver for Fiber Optic Communication Systems by Fazal Muhammad, Farman Ali, Usman Habib, Muhammad Usman, Imran Khan, Sunghwan Kim

“…The development of components and algorithms to minimize these effects in next generation FOCSs with 100 Gbps data rate and beyond with long-haul transmission is still a challenging issue. …”
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PD_EBM: An Integrated Boosting Approach Based on Selective Features for Unveiling Parkinson's Disease Diagnosis With Global and Local Explanations by Fahmida Khanom, Mohammad Shorif Uddin, Rafid Mostafiz

“…PD_EBM leverages machine learning (ML) algorithms and a hybrid feature selection approach to enhance diagnostic accuracy. …”
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Intratumor heterogeneity: models of malignancy emergence and evolution by R. A. Ivanov, S. A. Lashin

“…In parallel, computational models and algorithms have been developed to simulate and analyze cancer evolution. …”
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Improving Industrial Quality Control: A Transfer Learning Approach to Surface Defect Detection by Ângela Semitela, Miguel Pereira, António Completo, Nuno Lau, José P. Santos

“…Three decision-making algorithms were tested for implementation: a new model built and trained from scratch and transfer learning of pre-trained networks (ResNet-50 and Inception V3). …”
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Statistical Complexity Analysis of Sleep Stages by Cristina D. Duarte, Marianela Pacheco, Francisco R. Iaconis, Osvaldo A. Rosso, Gustavo Gasaneo, Claudio A. Delrieux

“…Using classification algorithms, we evaluate feature sets derived from both standard permutation entropy (PE) and GWPE to determine which set performs better in classifying sleep stages, demonstrating that GWPE significantly enhances sleep stage differentiation, particularly in identifying the transition between N1 and REM sleep. …”
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A Line Feature-Based Rotation Invariant Method for Pre- and Post-Damage Remote Sensing Image Registration by Yalun Zhao, Derong Chen, Jiulu Gong

“…In addition, the results of the comparative experiments show that the registration precision and error of the proposed method are better than those of the existing typical representative algorithms.…”
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A quantitative analysis of Koopman operator methods for system identification and predictions by Zhang, Christophe, Zuazua, Enrique

“…These approximations are thus relevant objects to solve the system identification problem.We then analyze the convergence of a variant of the generator Extended Dynamic Mode Decomposition (gEDMD) algorithm, one of the main algorithms developed to compute approximations of the Koopman operator from data. …”
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