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Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images
Published 2023“…The picture histogram was used to construct the candidate solutions in the modified algorithms, which were then updated according to the algorithm's features. …”
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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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Playout scheduling technique based on normalized least mean square (NLMS) algorithm
Published 2006Get full text
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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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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
Published 2024“…Various clustering methods are available, including K-means, hierarchical clustering, and density-based clustering. …”
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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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A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net
Published 2023“…Although, there are dedicated audio processing DNNs, yet, many recent models of AE have utilized U-Net: a DNN based on Convolutional Neural Network (CNN), fundamentally developed for image segmentation. …”
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
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The Use of Microwave Tomography in Bone Healing Monitoring
Published 2019Get full text
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AI-Aided Robotic Wide-Range Water Quality Monitoring System
Published 2024Subjects: Get full text
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Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review
Published 2022“…It also summarizes the problems solved in image processing by DE and its variants.…”
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