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441
Integration of Islamic-based anti-corruption education in Al Qur’an and hadith study courses
Published 2023-12-01“…Anti-corruption education from an Islamic perspective for students is an alternative in eradicating Corruption. integration education anti-Corruption in the Qur'an and Hadith courses is education anti-Corruption merges in Al-Qur'an and Hadith courses through development Theory because of course part the material contain payload score and behavior anti-Corruption, as well as through development learning methods and media. Based on data processing obtained for category moral knowing It was found that the ICP PAI students of UIN Maliki Malang class of 2020 reached 82%. …”
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442
NEW METHOD FOR BEARING INTELLIGENT DIAGNOSIS BASED ON COMPRESSED SENSING AND MULTILAYER EXTREME LEARNING MACHINE
Published 2021-01-01“…In the era of big data,bearing fault monitoring has the problem that it cannot realize the real-time processing of massive data processing and have the subjectivity about fault feature selection. …”
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443
Noise-agnostic quantum error mitigation with data augmented neural models
Published 2025-01-01“…Abstract Quantum error mitigation, a data processing technique for recovering the statistics of target processes from their noisy version, is a crucial task for near-term quantum technologies. …”
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444
Impacts of Future Climate Changes on Shifting Patterns of the Agro-Ecological Zones in China
Published 2013-01-01“…The shifting patterns of AEZs in China driven by future climatic changes were assessed by applying the agroecological zoning methodology proposed by International Institute for Applied Systems Analysis (IIASA) and Food and Agriculture Organization of the United Nations (FAO) in this study. A data processing scheme was proposed in this study to reduce systematic errors in projected climate data using observed data from meteorological stations. …”
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445
An Overview of the BALSAC Population Database. Past Developments, Current State and Future Prospects
Published 2020-08-01“…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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446
A Survey of Data Partitioning and Sampling Methods to Support Big Data Analysis
Published 2020-06-01“…Computer clusters with the shared-nothing architecture are the major computing platforms for big data processing and analysis. In cluster computing, data partitioning and sampling are two fundamental strategies to speed up the computation of big data and increase scalability. …”
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447
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448
Updating the Earth remote sensing software for the detection of thermal anomalies
Published 2021-12-01“…Special attention was paid to the problem of improving the accuracy of determining the coordinates of fires and reducing the time required for initial data processing.Re s u l t s. A retrospective analysis of the main stages of improving the software for natural fires detection and obtained during practical tests generalized results are provided. …”
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449
Biodegradable Food Packaging Materials and Prospects of the Fourth Industrial Revolution for Tomato Fruit and Product Handling
Published 2020-01-01“…There is a research gap on the development of a hybrid sensor system unit that can integrate sampling headspace (SHS), detection unit, and data processing of big data for heterogeneous tomato-derived volatiles. …”
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450
Mayfly Taylor Optimisation-Based Scheduling Algorithm with Deep Reinforcement Learning for Dynamic Scheduling in Fog-Cloud Computing
Published 2022-01-01“…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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451
THE RELATIONSHIP BETWEEN BEHAVIOR OF USING REPEATED COOKING OILS AND RECURRENCE OF HYPERTENSION
Published 2021-05-01“…Collecting data using a questionnaire instrument with data processing using the T-score and Chi Square statistical test. …”
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452
Design and Verification of a High-Precision Wireless Strength Testing Node for Aircraft Structure
Published 2016-04-01“…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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453
Extreme Gradient Boosting Model with SMOTE for Heart Disease Classification
Published 2025-01-01“…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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454
The influence of flexibility on the formation of basic taekwondo techniques in children aged 10–12 years
Published 2024-12-01“…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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455
Layout Design and Product Bundling Strategy Using Overall Variability of Association Rules (OCVR) Method
Published 2023-08-01“…Based on this method, the results of the OCVR method are used as a reference in product bundling and product layout. Data processing was carried out following CRISP-DM. Based on the findings of this study, 17 bundling packages were obtained that could be implemented. …”
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456
Data-Centric Knowledge Discovery Strategy for a Safety-Critical Sensor Application
Published 2014-01-01“…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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457
PRODUCTION PROCESS WASTE ANALYSIS WITH LEAN MANUFACTURING APPROACH IN COPPER CRAFTS INDUSTRY
Published 2022-07-01“…This study uses a Lean Manufacturing approach with data processing using the Value Stream Mapping (VSM) and Failure Mode And Effect Analysis (FMEA) methods. …”
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458
An Overview of the BALSAC Population Database. Past Developments, Current State and Future Prospects
Published 2020-08-01“…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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459
Identification of subsurface cavities in urban environment
Published 2025-01-01“…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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460
Introduction of smart technologies in event-management: socio-cultural aspect
Published 2022-07-01“…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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