MPPT Efficiency in PV Arrays under Partial Shading Conditions:A Comparative Analysis of PSO and P&O Algorithms by Rachid Bennia, Cherif Larbes, Faiza Belhachat

“…To address these limitations, intelligent computational approaches have been developed as robust alternatives for reliable GMPP tracking in complex shading environments. …”
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Ethnomatematics: Treasure Search Activity in the Musi River by Malalina Malalina, Ratu Ilma Indra Putri, Zulkardi Zulkardi, Yusuf Hartono

“…The research aims to explain aspects of mathematical computation to treasure quest at Musi River Palembang. …”
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Enhancement of electric field uniformity using 3-phase circular electrodes in RF heating applications by Jiyoung Moon, Bohwan Choi, Jinsoo Choi, Junhyeong Park, Byunghun Lee

“…Both simulations and experimental measurements were conducted at 16 points on a plane 1 mm above a ham sample to evaluate the electric field strength. The results showed that the 3-phase circular electrodes effectively concentrated the electric field at the sample’s center while mitigating electric field strengths at the edges and corners. …”
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Variant effect predictor correlation with functional assays is reflective of clinical classification performance by Benjamin J. Livesey, Joseph A. Marsh

“…Variant effect predictors (VEPs) play a vital role in deciphering this complex relationship, yet evaluating their performance remains challenging for several reasons, including data circularity, where the same or related data is used for training and assessment. …”
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Potential accuracy of quasi-optimal radar meters of angular coordinates with scanning multi-channel antenna system by S. V. Kozlov, Vu Thanh Ha

“…The obtained expressions can be used to evaluate the effectiveness of quasi-optimal radar meters in the conditions of external interference and in the complex modeling of radar facilities with such meters included.…”
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Transfer learning strategies for neural networks: A case study in amine gas treating units by Daniela Galatro, Manoj Machavolu, Gladys Navas

“…Metrics of accuracy and transferability are introduced to evaluate class imbalance, computational time, and the effect of outliers. …”
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Optimizing Feature Selection in Sentiment Analysis of Bank Saqu: A Comparative Study of SVM and Random Forest using Information Gain and Chi-Square by Anelta Tirta Putri Subandono, Dhani Ariatmanto

“…This study aims to evaluate and optimize the impact of different feature selection methods on the performance of Support Vector Machine (SVM) and Random Forest (RF) in sentiment analysis. …”
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Automatic eddy detection in the MIZ based on YOLO algorithm and SAR images by Nikita Sandalyuk, Eduard Khachatrian

“…The performance of the different architectures within the model was evaluated using various metrics, and the best-performing one was selected through visual inspection and quantitative analysis. …”
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Comparison of various machine learning regression models based on Human age prediction by Dr.Manaf K Hussein

“…Recent advancements in machine learning have made it possible for computers to anticipate classification and prediction outcomes more accurately than humans. …”
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Transparent brain tumor detection using DenseNet169 and LIME by Lincy Annet Abraham, Gopinath Palanisamy, Goutham Veerapu

“…The model was trained and evaluated on the publicly available Brain Tumor MRI Dataset containing 2,870 images spanning three tumor types. …”
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Qualitative and Quantitative Assessment of the Regenerate Bone Formed During Intramedullary Limb Lengthening Using a Goat (Caprine) Tibia Model: A Pilot Study by Anirejuoritse Bafor, Aidan Isler, Kell Sprangel, Sara McBride-Gagyi, Christopher A. Iobst

“…Using a goat tibia model, this pilot study is the first to evaluate the regenerate bone formed from intramedullary limb lengthening comprehensively. …”
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A lightweight framework to secure IoT devices with limited resources in cloud environments by Vivek Kumar Pandey, Dinesh Sahu, Shiv Prakash, Rajkumar Singh Rathore, Pratibha Dixit, Iryna Hunko

“…Finally, the model also makes use of a novel leaf-cut feature optimization strategy and tight adaptive cloud edge intelligence to achieve high accuracy while minimizing memory and computation demand. In terms of memory, they also use only 12.5 MB in it and evaluated on benchmark datasets including NSL-KDD and Bot-IoT, it gives an accuracy of 98.2% and 97.9%, respectively, and less than 1% false positives, thereby giving up to 6.8% accuracy over some traditional models such as SVM and Neural Networks and up to 78% less energy. …”
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Variability of Rainfall and the Cropping Season of a Tropical Dry Zone River Basin: A Case Study in the Malwathu Oya River Basin in Sri Lanka by N. S. Abeysingha, S. D. Madurapperuma Arachchige, Ram L. Ray, L. P. Muthuwatta

“…Standardized anomaly, coefficient of variation (CV), monotonic trends of rainfall and dry days, and the onset and retreat of the cropping season, Maha were computed for the last four decades, and the impacts of climate change were evaluated by checking the differences in the variables before and after the year 2000 using the Wilcoxon signed-rank test. …”
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Individual and mixtures of PFAS during pregnancy are associated with maternal cardiometabolic outcomes during pregnancy by Clark R. Sims, Neha Sehgal, Donald Turner, Lauren A. Havens, Andrew J. Morris, Kartik Shankar, Kevin J. Pearson, Todd M. Everson, Aline Andres

“…Conclusion This study evaluated PFAS exposures during pregnancy in central Arkansas. …”
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Estimating the mass of tephra accumulated on roads to best manage the impact of volcanic eruptions: the example of Mt Etna, Italy by L. Mereu, L. Mereu, M. Stocchi, M. Stocchi, A. Garcia, M. Prestifilippo, L. Sandri, C. Bonadonna, S. Scollo

“…The quantification of the tephra load is, therefore, of significant interest to evaluate and reduce environmental and socio-economic impact, as well as for managing crises. …”
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The Failure Rate of Internal Fixation Increases With Sagittal Displacement of the Femoral Head: A Retrospective Study by Lei Shi, Chen Chen, Junsong Wang, Yuanhao Wu, Jia Li, Houchen Lyu, Quanyi Guo, Peifu Tang

“…This study aimed to evaluate the impact of sagittal displacement on the outcomes of cannulated screw internal fixation (CSIF) in patients with stable FNF (Garden I or II) by reconstructing the axial sagittal oblique plane of the fracture using preoperative computed tomography (CT) imaging. …”
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Marginal and internal adaptation and absolute marginal discrepancy of 3D-printed, milled, and prefabricated crowns for primary molar teeth: an in vitro comparative study by Nagehan Aktaş, Yasemin Akın, Mert Ocak, Didem Atabek, Merve Bankoğlu Güngör

“…Marginal and internal adaptation and AMD values were evaluated using micro-computed tomography (micro-CT) at multiple measurement points. …”
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Condylar position changes and prognosis in patients with unilateral mandibular condylar fracture treated non-surgically by Jihye Lim, Woomin Jo, Hyelynn Jeon, Seung Il Song, Jeong Keun Lee

“…Computed tomography was performed at the time of the fracture (T 0) and > 6 months after non-surgical treatment (T 1). …”
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The effect of manipulation under anesthesia on knee kinematics in individuals with arthrofibrosis after anterior cruciate ligament reconstruction by Ling Zhang, Shuai Fan, Xuan Zhao, Ye Luo, Bin Cai, Shao-bai Wang

“…Methods Computed tomography and dual fluoroscopic imaging system were used to assess in vivo knee kinematics. …”
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Mapping the mHealth Nexus: A Semantic Analysis of mHealth Scholars’ Research Propensities Following an Interdisciplinary Training Institute by Junpeng Ren, Jinwen Luo, Yingshi Huang, Vivek Shetty, Minjeong Jeon

“…Our longitudinal analysis evaluates how the NIH mHealth Training Institute (mHTI) program stimulates changes in research trajectories through a computational examination of 16,580 publications from 176 scholars (2015–2022 cohorts). …”
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