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Recursive Quad-Tree Block Partitioning for Data Embedding in Images
Published 2020“…In this paper, we propose to embed messages in raw images using a recursive block partitioning technique adopted from HEVC video coding technology. …”
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Nonlinear analysis of shell structures using image processing and machine learning
Published 2023“…<p dir="ltr">In this paper, we propose a novel approach to solve nonlinear stress analysis problems in shell structures using an image processing technique. In general, such problems in design optimisation or virtual reality applications must be solved repetitively in a short period using direct methods such as nonlinear finite element analysis. …”
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Automated processing of quad array data
Published 1991“…A quad array acoustic imaging system used in underwater applications is discussed. …”
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Automated processing of quad array data
Published 1991“…A quad array acoustic imaging system used in underwater applications is discussed. …”
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Impact of an integrated seismic data processing approach
Published 1992“…Results from an integrated seismic data processing approach are presented. The following five industry known techniques are used: The first is pre-stack processing and imaging that resulted in properly placed structures and clearly defined fault planes. …”
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An image processing and genetic algorithm-based approach for the detection of melanoma in patients
Published 2018“…In this paper, we present a twophase technique to classify images of lesions into benign or malignant. The first phase consists of an image processing-based method that extracts the Asymmetry, Border Irregularity, Color Variation and Diameter of a given mole. …”
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Automatic image quality evaluation in digital radiography using for‐processing and for‐presentation images
Published 2024“…<h3>Purpose</h3><p dir="ltr">To investigate the impact of digital image post‐processing algorithms on various image quality (IQ) metrics of radiographic images under different exposure conditions.…”
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An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge
Published 2022“…Camera trap image data consisting of 66,400 images were used to train the InceptionV3, MobileNetV2, ResNet18, EfficientNetB1, DenseNet121, and Xception neural network models. …”
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Assessing the risk of vibration-induced fatigue in process pipework using convolutional neural networks
Published 2025“…Several CNN architectures using time-domain acceleration data and continuous wavelet transform (CWT) images are evaluated to identify the most effective approach for classifying vibration states. …”
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Low-Light Image Enhancement Using Image-to-Frequency Filter Learning
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A Two-Tier Post-Processing Framework for Lightweight Video Anomaly Detection
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First Impressions by Machine: Candidates’ Perceptions of Ethics and Employer Image in AI Recruitment Process
Published 2025“…Purpose – The aim of this research is to investigate the impact of perceived usefulness of AI recruitment processes (PU-AIRP) on candidate perceptions of utility (PUT), fairness (PF), and privacy (PP), and how these factors influence organizational attractiveness (OA). …”
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Low-Light Image Enhancement for Object Classification using Deep Learning
Published 2021“…Low-light image (LLI) enhancement is an important image processing task that aims at improving the illumination of images taken under low-light conditions. …”
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The Use of Artificial Intelligence and Big Data in the Continuous Improvement Process of Engineering Curricula
Published 2019“…A Master of Science thesis in Engineering Systems Management by Basel Obaid entitled, “The Use of Artificial Intelligence and Big Data in the Continuous Improvement Process of Engineering Curricula”, submitted in July 2019. …”
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Nondestructive evaluation of hybrid concrete properties using image processing and machine learning
Published 2025“…<p>Advancements in informatics, such as image processing (IP) and machine learning (ML), are increasingly being utilized to evaluate the mechanical properties of reinforced concrete structures. …”
