Using Open-Source Components to Process Interferometric TerraSAR-X Spotlight Data by Michael Jendryke, Timo Balz, Houjun Jiang, Mingsheng Liao, Uwe Stilla

“…We address the processing of interferometric TerraSAR-X and TanDEM-X spotlight data. Processing steps necessary to derive interferograms at high spatial resolution from bi- and monostatic satellite images will be explained. …”
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Dynamic Error Analysis Method for Vibration Shape Reconstruction of Smart FBG Plate Structure by Hesheng Zhang, Xiaojin Zhu, Zhiyuan Gao, Kaining Liu, Zhaowen Li

“…The proposed method can also be used for other data acquisition systems and data processing systems as a general error analysis method.…”
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Optimization of Data Distributed Network System under Uncertainty by Laxminarayan Sahoo, Supriyan Sen, Kalishankar Tiwary, Sovan Samanta, Tapan Senapati

“…Here, we have used triangular fuzzy numbers to express uncertain traffic rates and data processing rates. Then, by applying α-level interval of fuzzy numbers and their corresponding parametric representation of α-level intervals, the associated network design problem has been transformed to its parametric form and later has been solved. …”
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Transferability of a Machine Learning-Based Model of Hourly Traffic Volume Estimation—Florida and New Hampshire Case Study by Przemysław Sekuła, Zachary Vander Laan, Kaveh Farokhi Sadabadi, Krzysztof Kania, Sara Zahedian

“…., input and continuous count station data), which involves significant monetary investment and data-processing effort. This paper proposes solutions, which allow the model to be prepared using a much smaller dataset, given that a previously collected dataset, which may be gathered in a different place and time period, exists. …”
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Comparative metabolic study of planktonic and sessile cells in Salmonella Enteritidis ATCC 13076: Elucidating metabolic pathways driving biofilm formation. by Yuliany Guillín, Claudia Ortiz, William Hidalgo

“…Raw data were analyzed using Thermo Xcalibur v 3.1 software. For data processing, XCMS was used for feature detection, retention time, correction and alignment. …”
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Remaining Useful Life Prediction Techniques of Electric Valves for Nuclear Power Plants with Convolution Kernel and LSTM by Hang Wang, Min-jun Peng, Yong-kuo Liu, Shi-wen Liu, Ren-yi Xu, Hanan Saeed

“…The data for sensing valve conditions were gathered during aging experiments through acoustic emission sensors. During data processing, convolution kernel integrated with LSTM is utilized for feature extraction. …”
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Application of improved and efficient image repair algorithm in rock damage experimental research by Mingzhe Xu, Xianyin Qi, Diandong Geng

“…Abstract In the petroleum and coal industries, digital image technology and acoustic emission technology are employed to study rock properties, but both exhibit flaws during data processing. Digital image technology is vulnerable to interference from fractures and scaling, leading to potential loss of image data; while acoustic emission technology is not hindered by these issues, noise from rock destruction can interfere with the electrical signals, causing errors. …”
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The effect of learning and memory on brand equity and it’s implications on financing decisions for pt bsi msme customers in the maqasid syariah perspective by Sarwoto Sarwoto, Asmuni Asmuni, Isnaini Harahap, Rika Surianto Zalukhu

“…The research method utilizes the Structural Equation Modeling (SEM) approach, with a significance level of 5%. Data processing is conducted using Smart PLS 3.0 software, and references are managed through the Mendeley 7th edition program. …”
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Research on the Revolution of Multidimensional Learning Space in the Big Data Environment by Weihua Huang

“…This paper studies big data processing technology and representative systems and analyzes multidimensional analysis and performance optimization technology. …”
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MFIEN: multi-scale feature interactive enhancement network for seismic data denoising in desert areas by Tie Zhong, Yuxin Ye

“…Effectively suppressing random noise and significantly optimizing the signal-to-noise ratio (SNR) is emerging as a key issue in seismic data processing. A Multi-scale Feature Interaction Enhancement Network (MFIEN) for intense background seismic noise attenuation in desert areas is proposed in this paper to address this problem. …”
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Comparison of Feature Selection and Feature Extraction Role in Dimensionality Reduction of Big Data by Haidar Khalid Malik, Nashaat Jasim Al-Anber, Fuad AbdoEsmail Al- Mekhlafi

“…The importance of Dimensionality Reduction technology lies in several fields, including “data processing, patterns recognition, machine learning, and data mining”. …”
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Caractéristiques rythmiques du chant de l'indri et nouvelles perspectives pour une évaluation comparative du rythme chez les primates non humains by Marco Gamba, Valeria Torti, Chiara De Gregorio, Teresa Raimondi, Longondraza Miaretsoa, Filippo Carugati, Walter Cristiano, Rose M. Randrianarison, Giovanna Bonadonna, Anna Zanoli, Olivier Friard, Daria Valente, Andrea Ravignani, Cristina Giacoma

“…In this regard, thanks to the simplicity of data processing and interpretation, our study relied on an accessible analytical approach that could open up new branches of the investigation into primate communication, leading the way to reconstruct a phylogeny of rhythm abilities across the entire order.…”
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Dataset of polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear arrayScienceDB by Noam Ginio, Michael Lindenbaum, Barak Fishbain, Dan Liberzon

“…To address these challenges a novel method was developed, using polarization filter equipped camera as the main sensor and Machine Learning (ML) algorithms for data processing [1,2]. The developed method training and evaluation was based on in-house made supervised dataset. …”
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Security protection method based on mimic defense and Paillier encryption for smart IoT terminals by GU Tiansheng, ZENG Fukang, SHAO Sisi, NIE Yijun, JI Zongkai, ZHENG Yulu, SHI Yuchen, LIU Shangdong, JI Yimu

“…Then, a secure blind signature with Paillier encryption (SBSPE) algorithm was designed in this architecture to safeguard the data and privacy of the edge-area smart terminals throughout the data processing lifecycle of edge-area smart terminals. …”
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Multi-gate neuron-like transistors based on ensembles of aligned nanowires on flexible substrates by João Neto, Abhishek Singh Dahiya, Ravinder Dahiya

“…Starting with local (near sensor) data processing, there is an inherent mechanism in play that helps to scale down the data. …”
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THE QUALITY OF THE EDUCATIONAL PROCESS IN THE UNIVERSITY THROUGH STUDENTS’ EYES by S. S. Kotova, I. I. Hasanova

“…The amountof selection – 575 respondents; information data processing was performed using methods of the content analysis and correlation analysis Practical significance. …”
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A Review of the Research and Development of High-Frequency Measurement Technologies Used for Nonlinear Dynamics of Drillstring by Lixin Li, Jin Wang, Yingmei Yu, Yifei Xing, Fengyan Zhang, Yi Zhang, Yanyan Li

“…In this paper, data acquisition tools with high-frequency sample rates and the data processing are introduced. Based on high-frequency data, progress of drilling dynamics is summarized, including new understandings of low-frequency drillstring dynamics, high-frequency torsional oscillations (HFTOs), and high-frequency axial oscillations (HFAOs) and new findings for the coupling of vibrations and motions, as well as models and simulation methods to deeply comprehend high-frequency dynamics of drillstring. …”
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INFORMATION TECHNOLOGY ADOPTION IN NIGERIAN LOCAL GOVERNMENT ADMINISTRATION; PERSPECTIVES CHALLENGES AND PROSPECTS by NASIRU SULE, KAMILU ISHAQ

“…Local government administration in Nigeria today is faced with problems of digitalization to cope with modern challenges of the use of computer and other electronic gadgets for effective record keeping, data processing, storage and retrieval of information. …”
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Leveraging Fog Computing for Scalable IoT Datacenter Using Spine-Leaf Network Topology by K. C. Okafor, Ifeyinwa E. Achumba, Gloria A. Chukwudebe, Gordon C. Ononiwu

“…Besides, the scalability requirements found in the current IoT data processing (in the cloud) can hardly be used for applications such as assisted living systems, Big Data analytic solutions, and smart embedded applications. …”
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GNSS Signal Extraction Using CEEMDAN–WPD for Deformation Monitoring of Ropeway Pillars by Song Zhang, Yuntao Yang, Yilin Xie, Haoran Tang, Haiyang Li, Lianbi Yao, Yin Yang

“…Simulation experiments and real-world scenario applications with operational field data processing demonstrate the effectiveness of the proposed method. …”
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