Prediction of Power System Ramping Demand Using Meteorological Features by Kuan Lu, Song Gao, Jun Li, Kang Chen, Chunhao Yu

“…Multidimensional correlation analysis quantifies the relationships among net load characteristics, historical load forecasts, weather predictions, historical prediction errors, and uncertain ramping demands. …”
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Four‐Dimensional Mapping of Sea Temperature and Salinity in the Coastal Waters Based on Generalized Spatio‐Temporal Autoregressive Neural Network by Minyu Wang, Junyu He, Jin Qi, Sheng Huang, Renyi Liu, Sensen Wu, Zhenhong Du

“…Compared with five widely used geographical interpolation models, the results indicate that GSTARNN provides enhanced overall interpolation accuracy within the research area, with lower temperature and salinity errors relative to the other models. The ARMOR3D and IAP products were used to confirm the reliability of GSTARNN, with R2 of 0.81 for temperature and R2 of 0.935 for salinity, exhibiting that the reconstructed field retains the detailed spatio‐temporal data from on‐site observations. …”
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Modeling inflation rate factors on present consumption price index in Ethiopia: threshold autoregressive models approach by Alebachew Abebe, Aboma Temesgen, Belete Kebede

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Delay Estimation in Networks with Cooperative Arrival Dynamics by O. А. Markelov, N. S. Tymchenko, M. I. Bogachev

“…The analytical estimation of delay distribution was shown to give an intermediate result between the estimations obtained by using two modeling schemes, which is caused by the prevalence of errors of discreteness or finiteness of data sampling depending on the modeling scheme.Conclusion. …”
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Aplikasi Mobile Perpustakaan Berbasis Android (Studi Kasus Perpustakaan STMIK Palangka Raya) by M. Haris Qamaruzzaman, Ferdiyani Haris

“…The system is made using Eclipse, the Java programming language, PHP and MySQL as a media server that is accessed using the application The methods in this study includes data collection method (observation, literature, and interviews) and analyzed using analysis systems PIECES. …”
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Deficit fear as a modulator of disbelief in the framework of self-perception among students at the stage of self-isolation by M. M. Basimov

“…It demonstrates one of the two main types of errors in the interpretation of the results of correlation analysis, which are ignored in the psychological community. …”
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Nonstationary Changes in Annual Rainfall over Indonesia’s Maritime Continent by Gian Gardian Sudarman, Tri Wahyu Hadi, Nining Sari Ningsih, Ardhasena Sopaheluwakan, Muhammad Ridho Syahputra, Fiolenta Marpaung

“…The investigation into changing rainfall patterns in the Indonesian Maritime Continent (IMC) involved testing for trends, step changes, and variance nonstationarity using the Mann–Kendall, Pettitt, and White tests, respectively. The analysis covered data from 106 meteorological stations over the period from 1981 to 2021, with all tests conducted at annual time scales to understand the evolving precipitation dynamics in the region. …”
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W świecie nonsensu i „Świerszczyka”, czyli bezdroża pseudonauki. Studium przypadku książki Aleksandry Kruszewskiej „Emocje, uczucia i społeczne zachowania emocjonalne dzieci na pro... by Dorota Klus-Stańska

“…The article is an attempt at a detailed analysis of the book on emotions, feelings and social behaviour of children starting school written by Aleksandra Kruszewska as a case of thickened errors in the theory, methodology and interpretation of collected empirical data. …”
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Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform by Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

“…MethodsLeveraging the risk-based quality management mindset, we built a digital dynamic monitoring platform by using big data analysis and automatic quantitative technology. …”
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The Influence of Herding, Loss Aversion, And Availability on Investment Decision-Making with Fear of Missing Out as a Mediating Variable Among Generation Z Investors by Umi Rahmawati, Surya Raharja

“…Data analysis using Smart PLS 4.0 revealed that herding behavior does not significantly affect FoMO or investment decision-making among Generation Z. …”
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Optical Camera Characterization for Feature-Based Navigation in Lunar Orbit by Pierluigi Federici, Antonio Genova, Simone Andolfo, Martina Ciambellini, Riccardo Teodori, Tommaso Torrini

“…Upcoming commercial and scientific missions to the Moon are designed to extensively use optical measurements during low-altitude orbital phases, descent and landing, and high-risk operations, due to the versatility and suitability of these data for onboard processing. Navigation frameworks based on optical data analysis have been developed to support semi- or fully-autonomous onboard systems, enabling precise relative localization. …”
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Quantitative benchmarking of nuclear segmentation algorithms in multiplexed immunofluorescence imaging for translational studies by Abishek Sankaranarayanan, Georgii Khachaturov, Kimberly S. Smythe, Shachi Mittal

“…To utilize their potential for cellular and molecular analysis, high throughput and accurate analytical approaches are needed in parsing vast amounts of data, particularly in clinical settings. …”
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Detection of Defects on Metal Surfaces Based on Deep Learning by Onur Cem Han, Uğurhan Kutbay

“…Manual inspections are time-consuming and prone to errors, especially as production scales increase Although Deep Learning and Computer Vision techniques show promise, the large data sizes of datasets created for deep learning and the high training costs of deep learning models lead to negative effects in terms of storage and energy efficiency. …”
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A Comparison of Traditional and Kernel Equating Methods by Selahattin Gelbal, Çiğdem Akın Arıkan

“…First, descriptive statistics were calculated for the data andthen it was checked whether the data obtained from the two booklets satisfy theequating conditions. …”
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A Tunnel Lining Line Identification Algorithm Based on Supervised Heatmap by Heng SONG, Yisheng ZHANG, Tianbao GENG, Dongjie WANG

“…Objective As a critical step in tunnel defect detection and analysis, lining line identification has long faced challenges in analyzing detection data. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…These specimens, featuring prefabricated fractures, undergo GPR detection, and the resulting data are compared with the numerical simulations to validate the accuracy of the models.Results and Discussions　The analysis of the GPR data reveals fascinating insights into the dynamic behavior of rock fractures. …”
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Design of an improved model using federated learning and LSTM autoencoders for secure and transparent blockchain network transactions by R. Vijay Anand, G. Magesh, I. Alagiri, Madala Guru Brahmam, Balamurugan Balusamy, Chithirai Pon Selvan, Haya Mesfer Alshahrani, Masresha Getahun, Ben Othman Soufiene

“…So, by training the autoencoder on normal transaction data, the system can alert transactions with high reconstruction errors, meaning real-time anomalies. …”
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A review of SAR tomography by Xin Zhao, Jie Dong, Yanghai Yu, Mingsheng Liao, Lu Zhang, Jianya Gong

“…This review systematically summarizes the four development stages of TomoSAR over the past 30 years from three aspects of systems, data processing, and applications. An analysis of 67 TomoSAR systems or projects from 23 institutions or countries gives the key characteristics and advancements of TomoSAR systems toward multi-platform, multi-configuration, multi-frequency, multi-polarization, and high-resolution. …”
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USER ACCEPTANCE OF MOBILE-JKN: INSIGHTS FROM THE TECHNOLOGY ACCEPTANCE MODEL by Ferina Septiani Damanik, Anna Wahyuni Widayanti, Chairun Wiedyaningsih

“…Data analysis was performed using a regression linear test with SPSS after all basic assumptions were met. …”
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Investigating the Key Trends in Applying Artificial Intelligence to Health Technologies: A Scoping Review. by Tawil Samah, Merhi Samar

“…After careful review and data analysis, AI methodologies, benefits and challenges, were summarized.…”
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