Mayfly Taylor Optimisation-Based Scheduling Algorithm with Deep Reinforcement Learning for Dynamic Scheduling in Fog-Cloud Computing by G. Shruthi, Monica R. Mundada, B. J. Sowmya, S. Supreeth

“…However, cloud computing is a capable standard for IoT in data processing owing to the high latency restriction of the cloud, and it is incapable of satisfying needs for time-sensitive applications. …”
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Design and Verification of a High-Precision Wireless Strength Testing Node for Aircraft Structure by Jian Wu, Xingmei Cui, Hongbing Sun, Yunpeng Xu

“…The wireless strain sensor node is composed of power module, multichannel strain sensing acquisition module, data-processing module, and wireless communication module. …”
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Extreme Gradient Boosting Model with SMOTE for Heart Disease Classification by Ahmad Ubai Dullah, Aditya Yoga Darmawan, Dwika Ananda Agustina Pertiwi, Jumanto Unjung

“…Along with the development of technology, various models of machine learning algorithms and data processing techniques have been developed to find models that can produce the best precision in classifying heart disease. machine learning algorithm model in classifying heart disease, so that it can improve the effectiveness of diagnosis and help in determining the right treatment for patients. …”
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The influence of flexibility on the formation of basic taekwondo techniques in children aged 10–12 years by Milyaeva, Karolina R., Akindinova, Marina M.

“…The article presents the results of a research conducted with the participation of students of the first year of study and more than one year of training in taekwondo, during which such methods as pedagogical observation, pedagogical experiment, testing method, methods of mathematical and statistical data processing were used. In the course of the study, it was revealed that the influence of flexibility education on the formation of basic taekwondo techniques in children aged 10–12 years is very important, since in taekwondo it is taken as the basis for blows to the head, and even blows to the body. …”
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Data-Centric Knowledge Discovery Strategy for a Safety-Critical Sensor Application by Nilamadhab Mishra, Hsien-Tsung Chang, Chung-Chih Lin

“…The cluster may be controlled by a dedicated programmed autonomous microcontroller device powered with electricity to perform in-network time critical functions, such as data collection, data processing, and knowledge production. In a data-centric sensor network, approximately 3–60% of the sensor data are faulty, and the data collected from the sensor environment are highly unstructured and ambiguous. …”
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An Overview of the BALSAC Population Database. Past Developments, Current State and Future Prospects by Hélène Vézina, Jean-Sébastien Bournival

“…Future perspectives rest on the diversification of the sources of population data entered or connected to the database and, as a corollary, by continuous optimization of data processing and linkage procedures. In the era of 'big data', BALSAC is gradually moving from a historical population database to a multifaceted infrastructure for interdisciplinary research on the Quebec population. …”
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Identification of subsurface cavities in urban environment by Boualem BOUYAHIAOUI, Abdeslam ABTOUT, Yasser BAYOU, Mohamed BENDALI, Hassina BOUKERBOUT

“…To better understand the subsurface conditions, A new gravimetric survey was conducted to image the density distribution and identify anomalous zones associated with subsurface cavities. Various gravity data processing techniques, including polynomial fitting of different orders, vertical and horizontal gradient analysis, and three-dimensional inversion, were applied. …”
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Introduction of smart technologies in event-management: socio-cultural aspect by V. A. Shelginskaya

“…The event industry is currently undergoing a period of active social change and technological innovation driven by the approach of the fourth industrial revolution and the advent of new methods of data processing by artificial intelligence. This could provide the meeting industry with new management capabilities related to the ability to predict and program visitor behavior based on the analysis of extremely large amounts of data about their behavior, thinking and preferences. …”
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Student’s access to scientific information resources using pirate open access sci-hub by Masita Dewi Cahyani, Yunus Winoto, Elnovani Lusiana

“…The population in this study were students of Padjadjaran University with sampling techniques using non-probability sampling techniques, namely purposive sampling and data processing using SPSS. The results found that the male mean was higher on the attitude towards behaviour and perceived behaviour control variables while the female mean was higher on the subjective norm variable but the mean difference was not significant. …”
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Microservice-Based Platform for Space Situational Awareness Data Analytics by Wanjie Lu, Qing Xu, Chaozhen Lan, Liang Lyu, Yang Zhou, Qunshan Shi, Yinghao Zhao

“…Due to the massive data processing requirements, the data analysis architecture and processing model, which can easily integrate various user-defined algorithms and significantly improve the computational efficiency, are proposed based on the Lambda architecture. …”
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Improved RPCA Method via Fractional Function-Based Structure and Its Application by Yong-Ke Pan, Shuang Peng

“…Hence, this paper proposed an improved robust principal component analysis algorithm (IRPCA) for logging data denoising, which addresses the problems of various noises in oil logging data acquisition and the limitations of conventional data processing methods. The IRPCA algorithm enhances both the efficiency of the model and the accuracy of low-rank matrix recovery. …”
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Intelligent Sensor for Measurement Systems with Sinusoidal Excitation Response by U. A. Mikitsevich, A. I. Svistun, A. V. Samarina, K. U. Pantsialeyeu, A. L. Zharin

“…The aim of the work was to develop the optimal architecture and algorithms for the operation of intelligent sensors intended for use in measuring systems operating according to the sinusoidal excitation – response scheme.This paper describes the approach proposed by the authors to the construction of intelligent sensors based on modern microcontrollers, the distinctive feature of which is the continuous generation of sinusoidal excitation and reading responses in the background, as well as setting the readiness flags for data processing in the main process of the microprocessor, which ensures uninterrupted execution of background processes, the main of which is the generation of a sinusoidal excitatory action.This approach has been tested in the development of charge-sensitive surface mapping systems, such as the Kelvin probe based on a vibrating capacitor, and the surface photo voltage probe for the case of semiconductors.…”
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Skala Regulasi Emosi: Analisis Reliabilitas dan Validitas Konstruk melalui Pendekatan Confirmatory Factor Analysis (CFA) by Rani Mega Putri, Nur Wisma, Fadhlina Rozzaqyah, Silvia Ar, Muhammad Ikbal, Aulia Muti’ah

“…The total sample for this research was 102 respondents taken randomly. This research data processing uses SPSS with the product moment formula and factor analysis with a confirmatory factor analysis approach. …”
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On the use of the stepped isostress method in the prediction of creep behavior of polyamide 6 by Lakhdar Sedira, Mohsein Tedjini, Belhi Guerira, Kamel Meftah

“…However, the performance of this method is highly dependent on the numerical model and the time spent in data processing. In this paper, the effect of the extrapolation techniques on the creep curves trend is investigated using the SSM data of Polyamide test. …”
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CUDT: A CUDA Based Decision Tree Algorithm by Win-Tsung Lo, Yue-Shan Chang, Ruey-Kai Sheu, Chun-Chieh Chiu, Shyan-Ming Yuan

“…In order to improve data processing latency in huge data mining, in this paper, we design and implement a new parallelized decision tree algorithm on a CUDA (compute unified device architecture), which is a GPGPU solution provided by NVIDIA. …”
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Development of a Representative EV Urban Driving Cycle Based on a k-Means and SVM Hybrid Clustering Algorithm by Xuan Zhao, Qiang Yu, Jian Ma, Yan Wu, Man Yu, Yiming Ye

“…The methodology mainly includes three tasks: test route selection and data collection, data processing, and driving cycle construction. A test route is designed according to the overall topological structure of the urban roads and traffic flow survey results. …”
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Examining vaccination-related adverse events in frequent neurodegenerative diseases by Shabnam Sodagari, Nassim Sodagari

“…We applied advanced data processing techniques to analyze symptom patterns and severity scores across these disease groups. …”
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On Edge-Fog-Cloud Collaboration and Reaping Its Benefits: A Heterogeneous Multi-Tier Edge Computing Architecture by Niroshinie Fernando, Samir Shrestha, Seng W. Loke, Kevin Lee

“…This paper proposes a novel 3-tier architecture that integrates edge, fog, and cloud computing to harness their collective strengths, facilitating optimised data processing across these tiers. Our approach optimises performance, reducing energy consumption, and lowers costs. …”
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Insurance with telematics as an insurance market driver: regulation and prospects by A. V. Romanova, S. Yu. Shchukin, S. V. Chelokidi, N. E. Spirina

“…The research used scientific works of domestic and foreign scientists in the field of AI and DB development in insurance, regulatory legal acts and program and strategic documents for the development of the Russian insurance market, as well as data generated by the authors on the basis of official statistical materials. For analytical data processing, the method of statistical analysis, the system-logical method, as well as such general scientific methods as induction, deduction and synthesis are used. …”
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Comparative analysis of regression algorithms for drug response prediction using GDSC dataset by Soojung Ha, Juho Park, Kyuri Jo

“…Conclusion This study can help bioinformatics researchers design data processing steps and select algorithms for drug response prediction, and develop a new drug response prediction model based on the GDSC or other high-throughput sequencing datasets.…”
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