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The Integration of Cone Beam Computed Tomography, Artificial Intelligence, Augmented Reality, and Virtual Reality in Dental Diagnostics, Surgical Planning, and Education: A Narrati...
Published 2025-06-01“…The integration of cone beam computed tomography (CBCT), artificial intelligence (AI), augmented reality (AR), and virtual reality (VR) is enhancing clinical precision, streamlining workflows, and redefining dental education. …”
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982
Redefining failure detection in PV Systems: a comparative study of GPT-4o and ResNet's computer vision in aerial infrared imagery analysis
Published 2025-01-01“…ResNet demonstrated advantages in terms of computational efficiency and ease of implementation. …”
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983
Tetrandrine slows disease progression on high-resolution computed tomography and lung function decline in artificial stone-associated silicosis: a retrospective cohort study
Published 2025-07-01“…Progression, stability, or improvement in HRCT findings and changes in PFT parameters were analyzed. Continuous variables and categorical variables were analyzed using the t-test and chi-square test, respectively, for statistical comparisons. …”
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984
Experimental Verification and Multi-Physics-Based Computer-Aided Engineering Simulation Methods for Dynamic Characteristics Analysis of Gas Foil Bearings at Lift-Off State
Published 2025-02-01“…It utilizes a comparison of both experimental data and three-dimensional fluid–solid interaction computational fluid dynamics simulations to investigate a gas foil bearing with three bump-type pads. …”
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985
The Dynamics of Air Pollution in the Southwestern Part of the Caspian Sea Basin (Based on the Analysis of Sentinel-5 Satellite Data Utilizing the Google Earth Engine Cloud-Computin...
Published 2024-11-01“…This article investigates the dynamics of atmospheric pollution in the southwestern part of the Caspian Sea basin using Sentinel-5P satellite data and the cloud-computing capabilities of the Google Earth Engine (GEE) platform. …”
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Application research and effectiveness evaluation mechanism of hybrid intelligent algorithm integrating cognitive computing and deep learning for dynamically adjusting employee per...
Published 2025-05-01“…Abstract This study investigates the impact of a hybrid intelligent algorithm, integrating cognitive computing and deep learning, on the dynamic adjustment of employee performance evaluation in multi-scale organizational networks, through simulation experiments. …”
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988
Acceptance of a computer vision facilitated protocol to measure adherence to face mask use: a single-site, observational cohort study among hospital staff
Published 2022-12-01“…Objectives Mask adherence continues to be a critical public health measure to prevent transmission of aerosol pathogens, such as SARS-CoV-2. …”
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989
Achieving cloud resource optimization with trust-based access control: A novel ML strategy for enhanced performance
Published 2025-12-01“…Cloud computing continues to rise, increasing the demand for more intelligent, rapid, and secure resource management. …”
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Deep learning model based on cascaded autoencoders and one‐class learning for detection and localization of anomalies from surveillance videos
Published 2022-07-01“…Abstract Due to the need for increased security measures for monitoring and safeguarding the activities, video anomaly detection is considered as one of the significant research aspects in the domain of computer vision. Assigning human personnel to continuously check the surveillance videos for finding suspicious activities such as violence, robbery, wrong U‐turns, to mention a few, is a laborious and error‐prone task. …”
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992
Comparison of Lightning Channel Luminosity Versus Time Profiles in the Infrared and Visible Ranges
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A Biologically Inspired Cost-Efficient Zero-Trust Security Approach for Attacker Detection and Classification in Inter-Satellite Communication Networks
Published 2025-07-01“…This approach uses data-driven learning methods to enhance security across satellite communications. It continuously evaluates access requests by applying a cost function that accounts for risk level, likelihood of attack, and computational delay. …”
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996
Optimization of electric power wireless communication technology
Published 2019-09-01“…An optimized design for improving spectral efficiency was given for the case where the power wireless private network in the 230 MHz band continuously allocates carriers.By canceling the reserved guard band between carriers,continuous subcarrier frequency domain resource mapping,adaptive FFT and filtering processing were used,which reduced the amount of computation and improves the service rate.Aiming at the problem of unification of two technical standards of 230 MHz power wireless private network,the necessity and the preliminary analysis of the mature terminal and system equipment industry chain of public network were given.…”
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997
Optimization of electric power wireless communication technology
Published 2019-09-01“…An optimized design for improving spectral efficiency was given for the case where the power wireless private network in the 230 MHz band continuously allocates carriers.By canceling the reserved guard band between carriers,continuous subcarrier frequency domain resource mapping,adaptive FFT and filtering processing were used,which reduced the amount of computation and improves the service rate.Aiming at the problem of unification of two technical standards of 230 MHz power wireless private network,the necessity and the preliminary analysis of the mature terminal and system equipment industry chain of public network were given.…”
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998
On Diminishing Fuzzy Neutrosophic Topological Spaces over Nano Topology
Published 2024-11-01“…As an extension and also, a necessity to compute the indeterminacy, the concept of diminishing fuzzy sets is protracted to introduce the conception of diminishing fuzzy (single-valued) neutrosophic sets in the standard unit interval. …”
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Review of plant disease image recognition algorithms based on deep learning
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