A Generic Framework for Mobile Crowdsensing: A Comprehensive Survey by Abderrafi Abdeddine, Loubna Mekouar, Youssef Iraqi

“…Our framework integrates key steps, including the registration process, anterior data processing, incentivization process, task allocation, task execution, and posterior data processing. …”
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Konsep 4R Sebagai Moderasi Pengaruh Gamifikasi Terhadap Niat Membeli Kembali dan Pengalaman Merek Konsumen Shopee by Andhyka Tyaz Nugraha, Ni Made Ratih Puspitawati, Alam Fathurochman

“…The results of this research data processing are first, the application of gamification elements into the marketplace can improve consumer brand experiences. …”
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Effect of Bodybuilding and Fitness Exercise on Physical Fitness Based on Deep Learning by Manman Sun, Lijun Wang

“…In this paper, recurrent neural network and gated recurrent neural network are introduced to compare and analyze the data, and the stability of data processing with different activation functions is compared. …”
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Optimization of the Rapid Design System for Arts and Crafts Based on Big Data and 3D Technology by Haihan Zhou

“…The process of Surface Mount Technology (SMT) big data processing and analysis is designed, and the design of SMT production line data collection scheme and real-time data processing architecture is completed. …”
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Les facteurs de localisation d’un nouveau type d’établissements tertiaires : les datacentres by Henry Bakis

“…Data processing centers (or data centers) are facilities needed by the development of the Internet (websites, cloud). …”
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OUTSOURCING OF ACCOUNTING SERVICES IN DIGITAL AGE by Adrian ISIP

“…Technologies like robotic process automation and artificial intelligence ensure faster data processing, accurate information and prompt reactions. …”
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High-Performance Wireless Piezoelectric Sensor Network for Distributed Structural Health Monitoring by Shang Gao, Xuewu Dai, Zheng Liu, Guiyun Tian

“…In addition to hardware, embedded signal processing and distributed data processing algorithm are designed as the intelligent “brain” of the proposed wireless monitoring network to extract features of the PZT signals, so that the data transmitted over the wireless link can be reduced significantly.…”
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A Scalable Framework for Sensor Data Ingestion and Real-Time Processing in Cloud Manufacturing by Massimo Pacella, Antonio Papa, Gabriele Papadia, Emiliano Fedeli

“…Additionally, the in-memory data processing of Spark Streaming enables rapid and dynamic data analysis, yielding actionable insights. …”
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Deep Learning Automated System for Thermal Defectometry of Multilayer Materials by A. S. Momot, R. M. Galagan, V. Yu. Gluhovskii

“…Three neural network modules are used for automated data processing, each of which performs one of the tasks: defects detection and classification, determination of the defect depth and thickness. …”
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CLOUD-BASED PREDICTIVE MOBILE APPLICATION FOR ASSESSING HONEY PURITY FROM STINGLESS BEES by Y Aris Purwanto, Hata Maulana, Sony Hartono W, Heru Sukoco, Diding Suhandy

“…The Android-based application was successfully created by applying 'raw' spectrum data processing from the results of scanning a portable spectrophotometer, and data experiments with the SVM classification model produced an accuracy of 95%. …”
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Application of Magnetometer-Equipped Drone for Mineral Exploration in Mining Operations by Dimitris Perikleous, Katerina Margariti, Pantelis Velanas, Cristina Saez Blazquez, Pedro Carrasco Garcia, Diego Gonzalez-Aguilera

“…This study demonstrates that the integration of drone technology with magnetic data processing offers a powerful tool for analysing subsurface structures in a safe, efficient, and non-invasive manner.…”
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Energy Efficiency of Kernel and User Space Level VPN Solutions in AIoT Networks by ALEKSANDAR JEVREMOVIC, Zona Kostic, Ivan Chorbev, Dragan Perakovic, Andrii Shalaginov, Ivan Cvitic

“…Along with energy costs of data processing, it is critical to also consider the energy efficiency of data protection when communicating with the environment. …”
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COWVR/TEMPEST Multisensor Satellite-Based Surface State Parameter Retrievals by Jackie C. May, Clark Rowley

“…This study extends the current NFLUX processing to include data processing from multiple sensors onboard the same platform. …”
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Analyses of poverty indicators using PPI methodology by T. Merkulova, D. Kosiashvili

“…The selection of indicators was carried out by classification methods using PPI methodology. Data processing and analyses were performed using Python. …”
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A Storm Frame Optimization Method for Predicting and Warning the Safety Status of a Shearer by Pei Zhang, Yanpeng He, Li Ma, Changkui Cong

“…To solve the problem of lag in determining the operating status of a shearer, this study proposes a new method for predicting and warning the real‐time operating status of the shearer involving the Storm framework, based on parallel optimization of data processing and the gated recurrent unit (GRU) model based on hyperparameter optimization. …”
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Insider threat detection based on operational attention and data augmentation by Guanyun FENG, Cai FU, Jianqiang LYU, Lansheng HAN

“…In recent years, there has been an increased focus on the issue of insider threats.Insider threats are a major cause security breaches in organizations and pose an ongoing challenge.By analyzing the existing insider threat data, it was identified that the biggest challenge in insider threat detection lies in data imbalance and the limited number of labeled threat samples.In the Cert R4.2 dataset, which is a classic dataset for insider threat detection, there are over 3.22 million log data, but only 7,423 are marked as malicious operation logs.Furthermore, most of the operation types in the logs are not related to malicious behavior, and only two types of operations are highly correlated with malicious behavior, such as leaking company data, creating interference in the detection process.To address this challenge, a data processing framework was designed based on operational attention and data augmentation.Anomaly evaluation was first performed on operations by the framework, and operations with low anomaly scores were then masked.This makes the model better focus on operations related to malicious behavior, which can be considered as a hard attention mechanism for operations.Next, the characteristics of the insider threat dataset were analyzed, and three rules were designed for data augmentation on malicious samples to increase the diversity of samples and alleviate the substantial imbalance between positive and negative samples.Supervised insider threat detection was regarded as a time-series classification problem.Residual connections were added to the LSTM-FCN model to achieve multi-granularity detection, and indicators such as precision rate and recall rate were used to evaluate the model.The results indicate superior performance over existing baseline models.Moreover, the data processing framework was implemented on various classic models, such as ITD-Bert and TextCNN, and the results show that the methods effectively improve the performance of insider threat detection models.…”
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Analisis postur kerja dan redesain fasilitas bagian pengemasan (studi kasus pada PT RNM) by Ida Bagus Suryaningrat, El Daffa Ramadiansyah, Ragil Ismi, Andrew Setiawan Rusdianto, Noer Novijanto

“…The purposes of this research are to analyze the work posture of packaging workers at UKB PT RNM, analyze the risk level of complaints of musculoskeletal disorders (MSDs) at UKB PT RNM, and design packaging station work facilities according to anthropometric data processing and QFD methods. The data processing stages in this research include processing NBM worksheet data, REBA, then processing QFD data, then processing anthropometric data, and work facility dimensions. …”
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Hyperhomocisteinemia, hypercysteinemia, glutamate excitotoxicity, taurine deficiency at hepatitis C by V. K. Pozdeev, N. V. Pozdeev, O. Ye. Nikitina

“…Data processing by nonnormal histogram plotting of substances plasma levels in hepatitis C patients revealed heterogeneity of pathochemistry of hepatitis C for tGSH, tCys and Gln. …”
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A method for estimating the polymer gel granule volume by an optical technique by M.G. Tokmachev

“…Factors that influence the result of automatic data processing in the optical micrometry method are investigated. …”
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Research of the Transmission Accuracy Test Method of Precise Reducer used in Robot by Gong Yu, Zhou Xiaoju, Xu Leichen, Zhang Jingcai, He Jun

“…The feasible measuring and data processing methods are proposed. A test rig is constructed and three contrast tests are completed for verification of the methods.…”
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