Search Results - (( parameter evaluation method algorithm ) OR ( based segmentation using algorithm ))
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1
Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images
Published 2024“…For segmentation, the first proposed algorithm is based on the boundary condition model, which is tested over the ISIC dataset and achieved 96% of accuracy. …”
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2
Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification
Published 2025“…The evaluation considered segmentation performance using evaluation metrics (precision, recall, F1 score, IoU), computational efficiency, and crack geometrical parameters quantification (surface crack ratio, crack width, crack length, and crack segment). …”
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3
Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
Published 2019“…The accuracy of each algorithm was evaluated using LibSVM, Bayes network, and Adaboost classifier. …”
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4
Image segmentation method for boundary detection of breast thermography using random walkers
Published 2013“…The segmentation was based on constant parameters among all images used in the study; these standard segmentation parameters achieved acceptable results in most cases. …”
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5
Extremal region detection and selection with fuzzy encoding for food recognition
Published 2019“…The proposed methods have been evaluated using two image datasets: UECFOOD-100 and UNICT-FD1200. …”
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6
Color image enhancement of acute leukemia cells in blood microscopic image for leukemia detection sample
Published 2020“…The segmentation algorithm uses saturation S-component based on Hue, Saturation, Intensity (HSI) color model. …”
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Conference or Workshop Item -
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An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection
Published 2022“…Thus, a 5G-MIMO based CR communication system has been developed to enhance the spectrum by employing a spectrum sensing (SS) algorithm. This recommended SS algorithm, based on the hybrid filter detection (HFD) method, employs the Cosine law for filtering the traffic signal, and then enables segmentation by applying the Welch algorithm. …”
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8
Edge detection of MRI images using artificial neural network
Published 2017“…Methods In this study, various existing edge detectors techniques based on spatial domain were evaluated. …”
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AUTOMATED SCORING FOR SCALINESS OF PSORIASIS LESIONS USING CLUSTER SEGMENTATION
Published 2007“…Throughout this project, MATLAB 7 software is used in obtaining the results. The algorithm is developed together with a sub-system for image acquisition and processing, segmentation, texture analysis for scaliness scores and PASI scoring based on the scales.…”
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Identifying and detecting unlawful behavior in video images using genetic algorithm / Shahirah Mohamed Hatim
Published 2016“…GA is used as the method of unlawful behavior detection. …”
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12
A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis
Published 2025“…To address this, we propose an efficient, modified radiomics feature processing method that integrates an optimal aerial perspective (OAP) parameter-based intensity dark channel prior (IDCP) with a 50-layer residual deep neural network (ResNet50 DNN) for autolesion segmentation (ALS-IOAP-DNN). …”
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13
Optimized techniques for landslide detection and characteristics using LiDAR data
Published 2018“…In this task, two neural network algorithms, Recurrent Neural Networks (RNN) and Multi-Layer Perceptron Neural Networks (MLP-NN) were used and the hyper-parameters of the network architecture was optimized based on a systematic grid search. …”
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14
Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model
Published 2024“…Current research on tackling uncertainty revolves around creating specifically tailored algorithms that can operate in the presence of value uncertainty using both a count-based and a time-based approach. …”
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15
Acoustic Performance Study Of 3d Printed Micro-Perforated Panel
Published 2021“…The capture images were processed in graph-cut image segmentation algorithm. The circularity of each hole is measured using the processed images and evaluated based on the probability outcomes of specified circularities. …”
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Monograph -
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Crowd behavior monitoring using self-adaptive social force model
Published 2019“…Instead of using any segmentation methods, the motion of particles in each frame is captured by particle advection method. …”
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Analytical framework for predicting online purchasing behavior in Malaysia using a machine learning approach
Published 2025“…The descriptive analysis examines purchasing behavior through correlation and regression analyses, while the predictive model uses decision trees (J48, Random Tree, REPTree), rule-based algorithms (JRip, OneR, PART), and clustering (K-Means) to identify patterns and predict trends. …”
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18
Image segmentation based on normalised cuts with clustering algorithm
Published 2013“…With the approach applied in the normalised cuts based image segmentation, the constraint of using normalised cuts algorithm in image segmentation can be alleviated. …”
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19
An evolutionary harmony search algorithm with dominant point detection for recognition-based segmentation of online Arabic text recognition
Published 2014“…Then, GA and HS algorithms are used as recognition-based segmentation phase for text and character recognition respectively. …”
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20
An improved fast scanning algorithm based on distance measure and threshold function in region image segmentation
Published 2016“…Various algorithms have been proposed for image segmentation and this includes the Fast Scanning algorithm which has been employed on food, sport and medical image segmentation. …”
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