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801
Securing fog computing in healthcare with a zero-trust approach and blockchain
Published 2025-02-01“…Abstract As healthcare systems increasingly adopt fog computing to improve responsiveness and real-time data processing at the edge, significant security challenges emerge due to the decentralized architecture. …”
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802
A Dual-Stage Processing Architecture for Unmanned Aerial Vehicle Object Detection and Tracking Using Lightweight Onboard and Ground Server Computations
Published 2025-01-01“…The UAV is equipped with a Raspberry Pi for onboard data processing, utilizing an Intel Neural Compute Stick 2 (NCS2) for accelerated object detection. …”
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803
Protection of personal data of the employee
Published 2023-06-01“…In particular, it is proposed to supplement the Code of Labor Laws of Ukraine and the draft Law of Ukraine “On Labor” with a separate article “Protection of employee’s personal data”, which provides for the definition of the terms “employee’s personal data” and “employee’s personal data protection”; establish a list of information that is the employee’s personal data; establish the employer's obligation to protect the employee's personal data; establish disciplinary and material liability for employees performing work related to personal data processing for violation of personal data protection legislation, as well as material liability for employers for violation of personal data protection legislation.…”
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804
Profile of Body Mass Index and Physical Fitness of Santri of Al Yumna Qur'an Tahfizh Boarding School
Published 2023-03-01“…The sampling technique used a random sampling technique of 57 people consisting of 27 men and 30 women, data collection techniques through the Philippine physical fitness test, BMI with anthropometric measurements, strength with push ups and basic plank, flexibility with zipper test and sit and reach , coordination with juggling test, agility using hexagon agility test, speed with 40 meter sprint test, strength with standing long jump, balance with stork balance test and reaction time speed with stick drop test. Results. The data processing method uses descriptive statistics using Microsoft Excel. …”
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805
Three-Dimensional Inversion of Borehole-Surface Resistivity Method Based on the Unstructured Finite Element
Published 2021-01-01“…The goal of electromagnetic data processing is to suppress the noise and improve the signal-to-noise ratio and the inversion of resistivity data. …”
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806
Bibliometric Analysis on ChatGPT Research with CiteSpace
Published 2025-01-01“…Seventh, the major themes in the ChatGPT area were “data processing using ChatGPT”, “exploring user behavioral intention of ChatGPT”, and “applying ChatGPT for differential diagnosis”. …”
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807
An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems
Published 2024-06-01“…There is an unprecedented amount of heterogeneous big data as a consequence of the growth of power grid technologies, along with data processing and advanced tools. The main obstacles in turning the heterogeneous large dataset into useful results are computational burden and information security. …”
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808
Detecting anomalies in smart wearables for hypertension: a deep learning mechanism
Published 2025-01-01“…The combination of ResNet’s feature extraction capabilities and LSTM’s sequential data processing offers improved prediction accuracy. Comprehensive error analysis was conducted, and the model was validated using Leave-One-Out (LOO) cross-validation and an additional dataset.ResultsThe ResNet-LSTM model showed superior performance, particularly with PPG data, achieving a mean absolute error (MAE) of 6.2 mmHg and a root mean square error (RMSE) of 8.9 mmHg for BP prediction. …”
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809
Deep-TEMNet: A Hybrid U-Net–2D LSTM Network for Efficient and Accurate 2.5D Transient Electromagnetic Forward Modeling
Published 2025-01-01“…Extensive validation across varied geological conditions highlights Deep-TEMNet’s robustness and adaptability, establishing its potential for efficient, large-scale subsurface mapping and real-time data processing. By combining U-Net’s spatial resolution capabilities with the sequential processing strength of the 2D LSTM module, Deep-TEMNet significantly advances computational efficiency and accuracy, positioning it as a valuable tool for geophysical exploration, environmental monitoring, and other applications requiring scalable, real-time TEM analyses that are easily integrated into remote sensing workflows.…”
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810
Assessment of the impact of the great cormorant (Phalaсrocorax carbo sinensis Shaw et Nodder, 1801) on fish resources of the Obytichna Spit the Sea of Azov
Published 2024-12-01“…Based on these analyses, the daily fish consumption of the cormorant colony was estimated over the annual period, and the ratio of fish removed by cormorants to the official fish catch by fishermen was also analyzed. Statistical data processing was carried out using MS Excel. Findings. …”
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811
Models for Processing Nighttime Light Data and Software Development
Published 2025-01-01“…This not only fills the gap in nighttime light data processing software but also allows users to move beyond fixed datasets and customize personalized datasets according to their needs. …”
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812
The representative scientific results of the China Seismo-Electromagnetic Satellite
Published 2025-01-01“…The second result is that a series of data processing and validation methods were obtained, and some of the methods are unique worldwide. …”
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813
Measuring Intention to Build a Creative City Based on Theory of Planned Behaviour and Readiness to Change
Published 2024-11-01“…This research is designed as a descriptive quantitative approach and supported by data processing with SEMPLS. The attitude variable has a negative influence on the development intention variable. …”
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814
STANDARDIZATION OF CLINICAL PHARMACIST FUNCTIONAL RESPONSIBILITIES IN HOSPITAL SETTING IN UKRAINE AND ABROAD
Published 2023-12-01“…The applied methods include a systematic approach, bibliographic, standardization, group method of expert evaluations, structural-logical, analytical-comparative, computer data processing, and modeling. The object of research: survey protocols of national clinical pharmacists (n=22); international standards of professional activity for clinical pharmacists (n=7); experience of implementing clinical pharmacy services abroad (n=7). …”
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815
Protocol for genetic analysis of population-scale ultra-low-depth sequencing data
Published 2025-03-01“…We detail the steps for data processing, quality control, and genotype imputation, followed by genome-wide association study (GWAS) and post-GWAS analyses. …”
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816
Hubungan Kadar Gula Darah saat Masuk Rumah Sakit dengan Jenis Sindroma Koroner Akut di RS Dr. M. Djamil Padang
Published 2015-05-01“…On the results of data processing can be seen that the value of p=0.592, which means there is no significant correlation between blood sugar levels upon hospital admission and the type of SKA. …”
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817
Budesonide in treatment of alcohol-induced severe hepatitis: results of randomized trial
Published 2013-09-01“…Following statistical criteria were used for data processing: χ2, Wilcoxon, Mann-Whitney, Kaplan – Mayer method.Results. …”
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818
The interrelation of students’ ideas about fatherhood with gender, age and structure of valuable orientations
Published 2020-10-01“…The research methods involve theoretical-methodological literature analysis, questionnaire method, psycho-diagnostic methods, and mathematical and statistical data processing methods.Results. The authors described and compared the content of ideas about fatherhood among young men and young women depending on the structure of valuable orientations at different stages of age development. …”
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819
Lean Transformation Success: The Role of Management and Employee Engagement
Published 2023-09-01“…Data: An online survey was conducted, where the respondents pointed to various aspects of the company, such as company size, industry they operate in, ownership structure, etc. Data processing was carried out in the SPSS 25 package on 82 responses. …”
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820
Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders
Published 2025-01-01“…On the other hand, the low availability of 3D datasets significantly impedes learning high-quality 3D features because of the high data processing cost. We present a strong multi-scale MAE prior training architecture that uses a trained ViT and a 3D representation model from 2D images to let 3D point clouds learn on their own. …”
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