Mobile Localization Based on Received Signal Strength and Pearson's Correlation Coefficient by Huiyu Liu, Yunzhou Zhang, Xiaolin Su, Xintong Li, Ning Xu

“…In this paper, an algorithm for GSM localization is proposed with RSSI and Pearson's correlation coefficient (PCC). The information of seven cells, including the serving cell and six neighboring cells, is used to accurately estimate the mobile location. …”
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Comparison of Toxic Metal Concentrations in Antidiabetic Herbal Preparations (ADHPs) Available in Bangladesh Using AAS and XRF Analytical Tools by Rausan Zamir, Nazmul Islam, Akhter Faruque

“…Results from the two methods were analyzed statistically by Pearson correlation coefficient (PCC), rxy. Pearson correlation coefficients were found to be −0.05, 0.94, and 1.00 for Mn, Cu, and Zn, respectively. …”
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Optimal channel and feature selection for automatic prediction of functional brain age of preterm infant based on EEG by Ling Li, Jiahui Li, Hui Wu, Yanping Zhao, Qinmei Liu, Hairong Zhang, Wei Xu

“…For feature selection, we combine the Pearson Correlation Coefficient (PCC), Recursive Feature Elimination (RFE), and Support Vector Regression (SVR) model.ResultsThe proposed framework achieved a prediction accuracy of 76.71% within ±1 week and 94.52% within ±2 weeks. …”
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Influence of microstructure and crystallographic texture on hydrogen diffusion in IF-steel by Başkaya Ü., Uzun R., Davut K., Kiliç Y., Gündüz O.

“…The dependence of microstructural parameters was evaluated by Pearson correlation coefficient (PCC) values. These evaluations showed that local misorientations, crystallographic texture, and dislocation densityare interdependent. …”
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Preference learning based deep reinforcement learning for flexible job shop scheduling problem by Xinning Liu, Li Han, Ling Kang, Jiannan Liu, Huadong Miao

“…Furthermore, the Pearson correlation coefficient (PCC) is used to evaluate the performance of the preference model. …”
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Comparison of Kolmogorov–Arnold Networks and Multi-Layer Perceptron for modelling and optimisation analysis of energy systems by Talha Ansar, Waqar Muhammad Ashraf

“…In this regard, first, we modify the loss function of both KAN and MLP algorithms and embed Pearson Correlation Coefficient (PCC). Second, the algorithmic configurations built on PCC, i.e., KAN_PCC and MLP_PCC as well as original architecture of KAN and MLP are deployed for modelling and optimisation analyses for two case studies of energy systems: (i) energy efficiency cooling and energy efficiency heating of buildings, and (ii) power generation operation of 660 MW capacity thermal power plant. …”
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PaleAle 6.0: Prediction of Protein Relative Solvent Accessibility by Leveraging Pre-Trained Language Models (PLMs) by Wafa Alanazi, Di Meng, Gianluca Pollastri

“…On the 2022 test set dataset, PaleAle 6.0 achieved over 82% accuracy for two-state RSA (RSA_2C) and 59.75% accuracy for four-state RSA (RSA_4C), with a Pearson correlation coefficient (PCC) of 77.88 for real-value RSA prediction. …”
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MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction by Dhekra Saeed, Huanlai Xing, Barakat AlBadani, Li Feng, Raeed Al-Sabri, Monir Abdullah, Amir Rehman

“…For example, on the GDSC dataset, MGATAF achieved a 5.12% improvement in the Pearson correlation coefficient (PCC), reaching 0.9312 with an RMSE of 0.0225. …”
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Combining machine learning algorithms for bridging gaps in GRACE and GRACE Follow-On missions using ERA5-Land reanalysis by Jaydeo K. Dharpure, Ian M. Howat, Saurabh Kaushik, Bryan G. Mark

“…We evaluated the performance of each model using Nash-Sutcliffe Efficiency (NSE), Pearson's Correlation Coefficient (PCC), and Root Mean Square Error (RMSE). …”
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Remote Epilepsy Monitoring: Signal Quality and Reliability Comparative Analysis by Theeban Raj Shivaraja, Rabani Remli, Wan Asyraf Wan Zaidi, Kalaivani Chellappan

“…Signal quality, component analysis, and reliability were evaluated using error metrics, time-frequency analysis, Bland-Altman plots, repeatability, Pearson Correlation Coefficient (PCC) and also EEG characteristics analysis of individual channels. …”
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Electrocardiogram-gated cardiac computed tomography-based patient- and segment-specific cardiac motion estimation method in stereotactic arrhythmia radioablation for ventricular ta... by Jingyang Xie, Alicia S. Bicu, Melanie Grehn, Mustafa Kuru, Adrian Zaman, Xinyu Lu, Christian Janorschke, Luuk H.G. van der Pol, Martin F. Fast, Jens Fleckenstein, Marcus Both, Stephan Hohmann, Egor Borzov, Peter Winkler, Roland R. Tilz, Dirk Rades, Frank A. Giordano, Daniel Buergy, Boris Rudic, David Duncker, Roland Merten, Tomer Charas, Mahmoud Suleiman, Thomas Brunner, Daniel Scherr, Evgeny Lian, Achim Schweikard, Oliver Blanck, Judit Boda-Heggemann, Lena Kaestner

“…The correlation and significant differences between ICD tip motion and CTV motion were assessed using the Pearson correlation coefficient (PCC) and Wilcoxon signed-rank test, while spatial discrepancies with both CTV and segment motion were quantified using the Euclidean distance. …”
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The response of the water cycle to landscape configuration and composition in two Chilean basins by Marieta Hernández-Sosa, Mauricio Aguayo, Jorge Hurtado, Ovidio Llompart

“…Aggregation, shape and diversity metrics were obtained using Fragstats software, and hydrological components were simulated by the TETIS hydrological model. Pearson correlation coefficients (PCC) and partial least squares (PLSR) analysis were used to determine how landscape patterns influence hydrological processes and streamflow behavior. …”
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