Review on Maximum Power Point Tracking Control Strategy Algorithms for Offshore Floating Photovoltaic Systems by Lei Huang, Baoyi Pan, Shaoyong Wang, Yingrui Dong, Zihao Mou

“…Traditional algorithms require modifications to address the drift phenomena under uniform irradiation, while different GMPPT techniques exhibit distinct strengths and limitations in partial shading conditions (PSCs). …”
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Algorithm-Based Real-Time Analysis of Heart Rate Measures in HIIT Training: An Automated Approach by Sergio Amat, Sonia Busquier, Carlos D. Gómez-Carmona, Manuel Gómez-López, José Pino-Ortega

“…The algorithm detects local maxima and minima in the heart rate signals recorded during HIIT sessions and calculates ascending and descending slopes, as well as intermediate averages, to evaluate cardiovascular response and recovery. …”
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A Hybrid Meta-heuristic Algorithm for Optimum Micro-robotic Position Control with PID Controller by Abdullah Baihan, Ehab Ghith, Harish Garg, Seyedali Mirjalili, Davut Izci, Mostafa Rashdan, Mohammad Salman, Kashif Saleem

“…The proposed algorithm is employed for identifying the PID controller optimal parameters considering six different objective functions. …”
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Developing Resilient and Expandable Adaptive Capacity Arbitration Algorithms for Future WCDMA (UMTS) Wireless Systems by M. Sajjad, S. Qaisar, A. Khan, I. Khan, S. Hussein Khan

“…The approach involves developing these algorithms and then evaluating their performance comprehensively using simulation tools. …”
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Optimized machine learning algorithms with SHAP analysis for predicting compressive strength in high-performance concrete by Samuel Olaoluwa Abioye, Yusuf Olawale Babatunde, Oluwafikejimi Abigail Abikoye, Aisha Nene Shaibu, Bailey Jonathan Bankole

“…Abstract This research examines the application of eight different machine learning (ML) algorithms for predicting the compressive strength of high-performance concrete (HPC). …”
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Machine learning algorithms to predict depression in older adults in China: a cross-sectional study by Yan Li Qing Song, Lin Chen, Haoqiang Liu, Yue Liu

“…To compare the differences in the ROC curves of the different models, the Delong test was conducted. …”
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Investigating the Performance of Open-Vocabulary Classification Algorithms for Pathway and Surface Material Detection in Urban Environments by Kauê de Moraes Vestena, Silvana Phillipi Camboim, Maria Antonia Brovelli, Daniel Rodrigues dos Santos

“…The second experiment evaluates standardized pavement classification using the Deep Pavements dataset and a fine-tuned CLIP algorithm optimized for detecting OSM-compliant pavement categories. …”
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Automated Design Method Based on Boosting Algorithms for Improving the Radiation Performance of Microstrip Antenna Arrays by Sina Hasibi Taheri, Ali Lalbakhsh, Amirhassan Zareanborji, Slawomir Koziel

“…Among the evaluated boosting algorithms, LightGB achieved the highest prediction accuracy for both WAIM and antenna models. …”
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Application of the ESTARFM algorithm for fusing Sentinel-2 and MODIS NDSI series in the eastern Qilian Mountains by Hui Guo, Xiaoyan Wang, Zhiqi Ouyang, Siyong Chen, Tao Che, Zhaojun Zheng

“…We then evaluated the accuracy of the fusion images and compared the differences in snow cover distributions with different resolutions. …”
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An Adaptive Layering Dual-Parameter Regularization Inversion Method for an Improved Giant Trevally Optimizer Algorithm by Chao Tan, Menghao Sun, Wei Liu, Wenrui Tan, Xiaoling Zhang, Chengang Zhu, Da Li

“…The ALS-ODR inversion method is evaluated on one-dimensional and two-dimensional models using different regularization methods, layering methods, and inversion algorithms. …”
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Moanna: Multi-Omics Autoencoder-Based Neural Network Algorithm for Predicting Breast Cancer Subtypes by Richard Lupat, Rashindrie Perera, Sherene Loi, Jason Li

“…For example, studies in breast cancer have shown that cancer subtypes based on molecular differences are associated with different patient survival and treatment responses. …”
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Coupling Artificial Intelligence with Proper Mathematical Algorithms to Gain Deeper Insights into the Biology of Birds’ Eggs by Valeriy G. Narushin, Natalia A. Volkova, Alan Yu. Dzhagaev, Darren K. Griffin, Michael N. Romanov, Natalia A. Zinovieva

“…., image recognition and applications for the detection of egg cracks, egg content and freshness. We comment on how algorithms need to be properly trained and ask what information can be gleaned from egg shape. …”
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Applicability of the adjusted morbidity groups algorithm for healthcare programming: results of a pilot study in Italy by Roberta Papa, Francesco Balducci, Giulia Franceschini, Marco Pompili, Marco De Marco, Josep Roca, Rubèn González-Colom, David Monterde

“…This study aims to apply the Adjusted Morbidity Groups (AMG) algorithm in the context of an Italian Region, and evaluate its performance to support decision-making processes in healthcare programming. …”
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Transfer Learning Estimation and Transferability of LNC and LMA Across Different Datasets by Yingbo Wang, Mengzhu He, Lin Sun, Yong He, Zengwei Zheng

“…The LNC and LMA estimation performance in transfer models established by partial least squares regression (PLS), support vector regression (SVR), extreme gradient boosting (XGB), and random forest regression (RFR) algorithms across different datasets were employed, in which the RFR transfer models performed good prediction results. …”
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Coupling a Bat Algorithm with XGBoost to Estimate Reference Evapotranspiration in the Arid and Semiarid Regions of China by Yixiu Han, Jianping Wu, Bingnian Zhai, Yanxin Pan, Guomin Huang, Lifeng Wu, Wenzhi Zeng

“…Accurate estimation of reference evapotranspiration (ETo) is key to agricultural irrigation scheduling and water resources management in arid and semiarid areas. This study evaluates the capability of coupling a Bat algorithm with the XGBoost method (i.e., the BAXGB model) for estimating monthly ETo in the arid and semiarid regions of China. …”
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A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models by Adel Zga, Farouq Zitouni, Saad Harous, Karam Sallam, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

“…The study focuses on key performance metrics such as execution time, number of function evaluations, and solution optimality. The results reveal significant differences in the efficiency and accuracy of the algorithms, with some algorithms demonstrating superior performance in specific models. …”
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Versatile machine learning algorithms for FTIR spectroscopy: differentiating crosslinked and non-crosslinked gelatin samples by Juliana Rincón-López, Eliana Álvarez-Valdés, Daniela Velez-Arango, Estefanía Rojas Zuleta, Leidy Yuliana Vargas Soto, Liliana Lellesch, Victor Alonso García Londoño, Milton Rosero-Moreano, Gonzalo Taborda-Ocampo

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Designing a Stock Recommender System Using the Collaborative Filtering Algorithm for the Tehran Stock Exchange by Marziyeh Nourahmadi, Ali Rahimi, Hojjatollah Sadeqi

“…Therefore, further research is necessary to examine the performance of this algorithm in different markets and diverse economic conditions. …”
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A Multihead Attention Deep Learning Algorithm to Detect Amblyopia Using Fixation Eye Movements by Dipak P. Upadhyaya, MS, Gokce Cakir, MD, Stefano Ramat, PhD, Jeffrey Albert, PhD, Aasef Shaikh, MD, PhD, Satya S. Sahoo, PhD, Fatema Ghasia, MD

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Different artificial neural networks for predicting burnout risk in Italian anesthesiologists by Marco Cascella, Alessandro Simonini, Sergio Coluccia, Elena Giovanna Bignami, Gilberto Fiore, Emiliano Petrucci, Alessandro Vergallo, Giacomo Sollecchia, Franco Marinangeli, Roberto Pedone, Alessandro Vittori

“…Despite substantial differences among the six implemented algorithms, no significant variation in prediction performance was observed. …”
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