Search Results - ((((recognition algorithm) OR (generation algorithm))) OR (detection algorithm))
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1
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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2
A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…Size was extracted using Extreme Point Detection algorithm and Hit or Miss Transformation method was used to extract the stroke formation pattern. …”
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Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff
Published 2014“…The new algorithm is tested on simulated and real data where the results show it is capable of detecting fraud activities. …”
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4
Extremal region detection and selection with fuzzy encoding for food recognition
Published 2019“…Thus, an Extremal Region Detection (ERD) algorithm in MSER is improved by finding optimum configuration of MSER parameters, allowing the quantity of interest points for certain food images to be increased appropriately. …”
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5
Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani ... [et al.]
Published 2020“…The experimental results showed that the proposed algorithms could be practical in terms of effectively detecting road lines and generate lane detection…”
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Underwater Image Recognition using Machine Learning
Published 2024“…It encompasses the procedure for feeding algorithms information to create the algorithms realize patterns in the data and then increase the performance of the algorithms. …”
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Innovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routes
Published 2023“…Big data; Bioinformatics; Computer vision; Image matching; Navigation; Obstacle detectors; Units of measurement; Autonomous Vehicles; Ground planes; Obstacle detection; RANSAC; Visually impaired persons; Algorithms…”
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A sequential handwriting recognition model based on a dynamically configurable convolution recurrent neural network and hybrid salp swarm algorithm
Published 2024“…This research present a dynamic configurator of the CRNN (DC-CRNN), geared for sequence learning in the context of handwriting recognition, inspired by bio-inspired approaches. The built DCCRNN is based on the Salp Swarm optimization Algorithm (SSA), a processor that given a particular dataset will find the best CRNN’s structure and hyperparameters. …”
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Segmentation of pulmonary cavity in lung CT scan for tuberculosis disease
Published 2024“…However, the high cost of semantic segmentation has limited the development of TB automatic recognition to some extent. To address this issue, we developed an algorithm that automatically generates a semantic segmentation mask of TB from the TB target detection boundary box. …”
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Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad
Published 2018“…This learning algorithm represents an automatic generation of membership functions and rules from the data. …”
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11
Optimized differential evolution algorithm for linear frequency modulation radar signal denoising
Published 2013“…An improvement to the conventional DE algorithm has been made to change it from its classical form to be possibly applied for ambiguous targets range detection for radar system. …”
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12
Multilocal feature selection using genetic algorithm for face identification
Published 2008“…This paper presents an improved offline face recognition algorithm based on a multi-local feature selection approach for grayscale images. …”
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Ulcer detection and classification of wireless capsule endoscopy images using RGB masking
Published 2016“…Therefore, it would be extremely advantageous to develop an intelligent algorithm to inspect the WCE images. This research aims to develop an algorithm to enhance wireless capsule endoscopy images and analyses them to detect Ulcer located in small intestine. …”
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Ulcer detection and classification of wireless capsule endoscopy images using RGB masking
Published 2016“…Therefore, it would be extremely advantageous to develop an intelligent algorithm to inspect the WCE images. This research aims to develop an algorithm to enhance wireless capsule endoscopy images and analyses them to detect Ulcer located in small intestine. …”
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3D face candidate region detection using background subtraction / Zulfikri Paidi and Nurzaid Muhd Zain
Published 2016Subjects: “…Algorithms…”
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A YOLO-based deep learning model for Real-Time face mask detection via drone surveillance in public spaces
Published 2024“…Addressing these challenges entails an efficient and robust object detection and recognition algorithm. This algorithm can deal with a crowd of multiple faces via a mobile camera carried by a mini drone, and performs realtime video processing. …”
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Automatic Road Network Recognition and Extraction for Urban Planning
Published 2009“…A Hybrid Simple Colour Space Segmentation & Edge Detection (Hybrid SCSS-EDGE) algorithm was developed to extract roads automatically from satellite-taken images. …”
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A real-time algorithm of optical tactile sensor for surface characterization / Nurul Fathiah Mohamed Rosli
Published 2016“…The overall image analysis technique involves the following algorithms: image acquisition (capturing of images), processing (thresholding, noise filtering and boundary detection) and recognition (force measurement). …”
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Performance of Levenberg-Marquardt neural network algorithm in power quality disturbances classification / Adibah I’zzah Mohamad Kasim
Published 2025“…This study investigates the application of the Levenberg-Marquardt (LM) neural network algorithm for classifying PQDs such as voltage sags, swells, and transients. …”
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Revolutionizing Perimeter Intrusion Detection: A Machine Learning-Driven Approach with Curated Dataset Generation for Enhanced Security
Published 2023“…There are already many PIDS available, but the PID systems are still lacking in terms of probability of detection, false intrusion, and the activity recognition of intrusion. …”
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