Global Assessment of Mesoscale Eddies with TOEddies: Comparison Between Multiple Datasets and Colocation with In Situ Measurements by Artemis Ioannou, Lionel Guez, Rémi Laxenaire, Sabrina Speich

“…Among the multi-year observations, TOEddies captures coherent, long-lived eddies with lifetimes exceeding 1.5 years, while highlighting significant differences in the dynamic properties and spatial patterns across datasets. …”
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ASTER GDEM Correction Based on Stacked Ensemble Learning and ICEsat-2/ATL08: A Case Study from the Qilian Mountains by Qi Wei, Yanli Zhang, Yalong Ma, Ruirui Yang, Kairui Lei

“…The root mean square error (RMSE) of the corrected GDEM decreased from 7.15 m to 4.13 m, while the mean absolute error (MAE) and mean bias error (MBE) values both decreased about by 38%. …”
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Arbitrarily Oriented Object Detection in Remote Sensing Images Based on Improved YOLOv4-CSP by Ziyang Zheng, Ting Zhang, Zhaoying Liu, Bo Liu, Yujian Li, Changming Sun

“…At present, most of the algorithms are dedicated to improving the detection accuracy, while ignoring the detection speed. …”
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Tomato leaf disease detection method based on improved YOLOv8n by Ming Chen, Chunping Wang, Chengwei Liu, Ying Yu, Yuan Yuan, Jiaxuan Ma, Kaisheng Zhang

“…To address this issue, this paper proposes an optimized YOLOv8n algorithm, incorporating a C2f-DynamicConv optimization module. …”
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SOME ASPECTS OF FOREIGN LANGUAGE COMPETENCE DEVELOPMENT IN THE SYSTEM OF CONTINUED PROFESSIONAL EDUCATION by A. G. Gorbunov

“…The educational technique that makes it possible to realize a wide range of discursive practices invariants has been developed. The algorithm for advanced and high level of discursive competence development has been described. …”
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Cold receptor TRPM8 as a target for migraine-associated pain and affective comorbidities by David Cabañero, Edward P. Carter, Rafael González-Cano, Enrique J. Cobos, Asia Fernández-Carvajal, Antonio Ferrer-Montiel

“…Findings We report that Trpm8 null mice exhibited impulsive and depressive-like behaviours, while also showing frequent pain-like facial expressions detected by an artificial intelligence algorithm. …”
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SGLT2 inhibitors across various patient populations in the era of precision medicine: the multidisciplinary team approach by Patrick McLean, Josiah Bennett, Edward “Trey” Woods, Sanjay Chandrasekhar, Noah Newman, Yusuf Mohammad, Muzamil Khawaja, Affan Rizwan, Riyan Siddiqui, Yochai Birnbaum, Carl J. Lavie, Salim Virani, Karim El Hachem, W. H. Wilson Tang, Tania Ahuja, Scott Isaacs, Chayakrit Krittanawong

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Machine learning developed LKB1-AMPK signaling related signature for prognosis and drug sensitivity in hepatocellular carcinoma by Wang Li, Xiaoyi Zhu, Jieying Fang

“…The optimal LRS developed using the Lasso algorithm served as a significant risk factor for HCC patients. …”
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Analyzing the impact of non-Newtonian nanofluid flow on pollutant discharge concentration in wastewater management using an artificial computing approach by Sidra Jubair, Jie Yang, Bilal Ali, Bandar Bin-Mohsin, Hamiden Abd El-Wahed Khalifa

“…These equations (ODEs) are solved using the Levenberg Marquardt back-propagation optimization algorithm (LMBOA) of the artificial neural network (ANN). …”
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A Multi-Mode Switching Energy Management Strategy Based on Travel Habits for Range-Extended Electric Vehicle by Zhenhai Gao, Guoqing Zhang, Hanwu Liu, Cheng Chang, Jingwen Dong, Rongrong He, Yu Cai

“…The proposed strategy is based on the fuzzy control algorithm, which ensures that the theoretical SoC curve is well followed. …”
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Crop choice advisory for the West African Sudan Savanna based on soil type and presowing rainfall forecasts: A machine learning residual model approach by Toshichika Iizumi, Kohtaro Iseki, Kenta Ikazaki, Toru Sakai, Shintaro Kobayashi, Benoit Joseph Batieno

“…Using the random forest (RF) algorithm, residual models were developed for cowpea, groundnut, soybean, maize, millet, and sorghum cultivated at three locations in Burkina Faso. …”
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Optimized YOLOv8 for enhanced breast tumor segmentation in ultrasound imaging by Ayman Mohamed Mostafa, Alaa S. Alaerjan, Bader Aldughayfiq, Hisham Allahem, Alshimaa Abdelraof Mahmoud, Wael Said, Hosameldeen Shabana, Mohamed Ezz

“…Abstract Breast cancer significantly affects people’s health globally, making early and accurate diagnosis vital. While ultrasound imaging is safe and non-invasive, its manual interpretation is subjective. …”
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Image enhancement for detection of underwater moulted crabs in greenhouse soft-shell crab farming using deep learning by Mohammad Affaiq Bin Aini, Siow Hoo Leong, Yueh Tiam Yong, Beng Yong Lee, Xiaomin Zhao, Sharifah Raina Manaf, Firdaus Abdullah, Heng Yen Khong

“…Results show that the fisheye flattening method outperforms the stretch flattening method for rectifying wide-angle distortion, while 2D-image flat field correction yields better results than the non-local mean filter for reducing reflections. …”
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Predicting weather-related power outages in large scale distribution grids with deep learning ensembles by L. Prieto-Godino, C. Peláez-Rodríguez, J. Pérez-Aracil, J. Pastor-Soriano, S. Salcedo-Sanz

“…To overcome the data imbalance challenge and enhance prediction accuracy, we propose a Deep Learning-based (DL) ensemble algorithm. Five distinct DL architectures are considered, generating multiple individual learners with randomly selected hyperparameters. …”
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Rapid and Simultaneous Prediction of Eight Diesel Quality Parameters through ATR-FTIR Analysis by Maurilio Gustavo Nespeca, Rafael Rodrigues Hatanaka, Danilo Luiz Flumignan, José Eduardo de Oliveira

“…Likewise, four variable selection approaches were tested: manual exclusion, forward interval PLS (FiPLS), backward interval PLS (BiPLS), and genetic algorithm (GA). The multivariate filters and variables selection algorithms generated more fitted and accurate PLS models. …”
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Mathematical model of shaping toothed products using volumetric tool with one motion parameter by A. A. Silich, Eh. M. Yusupova

“…In the model under consideration, the tool moves along the axis of the product while the latter rotates on its axis. In the course of the study, numerical modeling was carried out to determine the error value in shaping the product profile using the tool. …”
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Machine Learning to Select Experiments Driven by Fundamental Science and Applications for Targeted Nuclear Data Improvement by D. Neudecker, T. E. Cutler, M. Devlin, P. Brain, N. Gibson, M. J. Grosskopf, M. W. Herman, J. Hutchinson, T. Kawano, A. Khatiwada, N. Kleedtke, E. Leal-Cidoncha, R. C. Little, A. E. Lovell, A. Stamatopoulos, E. C. Thompson, S. A. Vander Wiel, E. Williamson

“…The candidates for integral experiments are criticality measurements that were refined by a genetic algorithm to be maximally sensitive to ^{239}Pu fission cross sections in the desired energy range. …”
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Artificial Neural Network Modelling of Photodegradation in Suspension of Manganese Doped Zinc Oxide Nanoparticles under Visible-Light Irradiation by Yadollah Abdollahi, Azmi Zakaria, Nor Asrina Sairi, Khamirul Amin Matori, Hamid Reza Fard Masoumi, Amir Reza Sadrolhosseini, Hossein Jahangirian

“…To obtain the optimum topologies, ANN was trained by quick propagation (QP), Incremental Back Propagation (IBP), Batch Back Propagation (BBP), and Levenberg-Marquardt (LM) algorithms for testing data set. The topologies were determined by the indicator of minimized root mean squared error (RMSE) for each algorithm. …”
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Computer guided versus freehand dental implant surgery: Randomized controlled clinical trial by Nermine Ramadan Mahmoud, Mohamed Hatem Kamal Eldin, Mai Hassan Diab, Omar Samy Mahmoud, Yasser El-Sayed Fekry

“…A secondary aim is to propose an algorithm for predicting the accuracy of implant placement. …”
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Hybrid Inverter Zeta-Ćuk for Grid-Tied Photovoltaic Applications by Anderson A. Dionizio, Leonardo P. Sampaio, Sergio A. O. da Silva, Vitor Monteiro, Joao L. Afonso

“…The maximum power available at the PV array is harvested using a multi-loop control in conjunction with the perturb-and-observe algorithm, while an AF-αβ-PLL system guarantees synchronism with the power grid. …”
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