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An efficient model to estimate and optimise the cloud migration costs from on-premises web apps
Published 2025-07-01Get full text
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Evaluation Study for Celiac Disease Diagnosing by using Deep Learning Techniques
Published 2025-06-01Get full text
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NEW INFORMATION TECHNOLOGY AND ITS CAPACITIES FOR MODELING OF GEOSYSTEMS
Published 2015-09-01Get full text
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A Cloud-Based Approach to Modeling ERP Information Flows Using a Bivariate Pólya–Aeppli Process
Published 2025-05-01Get full text
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A DNA-Level Convolutional Neural Network Based on Strand Displacement Reaction for Image Recognition
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Real-time and resource-efficient banana bunch detection and localization with YOLO-BRFB on edge devices
Published 2025-08-01Get full text
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PyBodyTrack: A python library for multi-algorithm motion quantification and tracking in videos
Published 2025-09-01“…Human movement analysis, driven by computer vision and pose tracking technologies, is gaining acceptance in healthcare, rehabilitation, sports, and daily activity monitoring. …”
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Methods for Determining the Size of three-Dimensional Objects in Images
Published 2021-04-01“…Computer vision technology is used to obtain the necessary information from images. …”
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A New Asymmetric Fully Homomorphic Encryption Scheme for Cloud Banking Data
Published 2021-01-01“…Our current research provides a new algorithm for a publicly-keyed encryption system to keep bank data from tampering and theft when stored on the cloud computing platform, and our new system achieves fully Homomorphic Encryption, which allows mathematical operations to be performed on the encrypted text without the need for the original text. …”
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BSplineSolid: Symbolic construction and visualization of rational trivariate solids in Mathematica
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Transforming Farming with Technology: A Smart Novel Agriculture Framework and Infrastructure.
Published 2025-05-01Get full text
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Adaptive Transformer-Based Deep Learning Framework for Continuous Sign Language Recognition and Translation
Published 2025-03-01Get full text
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A three-stage exercise-oriented problem-based learning model for double-weak students in applied undergraduate education
Published 2025-07-01“…The model consists of: (1) Basic Computation Reinforcement Layer, which restructures mathematical cognitive systems through structured exercises; (2) Application and Practice Transition Layer, which facilitates the targeted transfer of knowledge to practical competencies through engineering case studies; and (3) Modeling and Innovation Expansion Layer, which fosters complex problem-solving abilities through open-ended problem scenarios. …”
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