Search Results - (( mobile detection method algorithm ) OR ( based segmentation based algorithm ))*
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Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification
Published 2025“…Deep learning models, including U-Net, Res-UNet, and DeepLabv3+ with pre-trained backbones such as MobileNetV2, ResNet-18, ResNet-50, and Xception, were trained and evaluated along side a traditional Otsu's thresholding method as the baseline for crack detection and segmentation. …”
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Final Year Project / Dissertation / Thesis -
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Computing non-contactable drowsiness monitoring system with mobile machine vision
Published 2022“…This project proposes a human facial features detection based on color segmentation via skin color and Viola- Jones algorithm for real time application. …”
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Conference or Workshop Item -
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Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…In the preprocessing stage, the On-Line Noise Filtering Algorithm for Trajectory Segmentation Based on Minimum Description Length concept (ONF_TRS) is proposed to achieve trajectory segmentation and remove noise points in real time with low computational cost. …”
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4
A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…This research focuses on developing a novel path planning algorithm, called Generalized Laser Simulator (GLS), to solve the path planning problem of mobile robots in a constrained environment. …”
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5
Implementation of RBG-HS-CbCr skin colour model using mobile python PyS60
Published 2009“…Over the past few years, r esearchers have come up with various algorithms and method in detecti ng human skin colour. …”
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Final Year Project Report / IMRAD -
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Optimising acoustic features for source mobile device identification using spectral analysis techniques / Mehdi Jahanirad
Published 2016“…Both models optimize acoustic features for source mobile device identification based on near-silent segments. …”
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7
Design and development of IP based automotic bottle inspection system using controllino maxi automation / Abdul Aziz Ahmed Siyad
Published 2019“…In order to improve the quality of the line this study proposes Automatic vision inspection machine that contains vision inspection part and conveyor line implemented using Controllino PLC and Omron photo-electric sensors and Mobile camera. Stream of real-time videos is acquired from the camera to Matlab using wireless network, there were methods and algorithms used in the vision inspection to analyse and detect the presence and properties of a bottle then extract meaningful information using Graphical User Interface, Noise or unwanted objects were mostly removed using filtering, segmentation and blob analyses. …”
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8
Testing the minimal bounded space method on vision-based drone navigation / Yap Seng Kuang
Published 2021“…The object-based approach focuses on segmentation, detection, annotation, and recognition of objects or markers in the scene. …”
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9
Development of new code for optical code division multiple access systems
Published 2011“…The overall code sequences are divided into two parts: code and data segments. These codes sequences having zero and variable cross-correlation at data segment and code segment, respectively. …”
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10
Moving camera automatic number plate recognition using neural network in android platform
Published 2019“…The proposed localization step includes combination of Sobel edge detection method and morphological based method. Successfully detected license plate image is segmented and each character is bounded with a rectangular bounding box and cropped out. …”
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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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13
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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14
An evolutionary harmony search algorithm with dominant point detection for recognition-based segmentation of online Arabic text recognition
Published 2014“…This paper highlights a novel strategy for online Arabic text recognition using a hybrid Genetic Algorithm (GA) and Harmony Search algorithm (HS). The strategy is divided into two phases: text segmentation using dominant point detection, and recognition-based segmentation using GA and HS. …”
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Article -
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Customer segmentation on clustering algorithms
Published 2023“…Then, k-means, DBSCAN, and GMM clustering algorithms are applied to segment customers based on their buying behaviour. …”
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Final Year Project / Dissertation / Thesis -
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Mobile robot path planning using hybrid genetic algorithm and traversability vectors method
Published 2004“…In all experiments, the GA has successfully detected the near-optimal feasible traveling path for mobile. …”
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Finding objects with segmentation strategy based multi robot exploration in unknown environment
Published 2013“…For constructing map robot can use on built range finder sensor or using vision based systems. Also the algorithm using segmentation strategy is using frontier base algorithm for exploring divided area. …”
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Effects of Different Superpixel Algorithms on Interactive Segmentations
Published 2022“…Semi-automated segmentation or more commonly known as interactive image segmentation is an algorithm that extracts a region of interest (ROI) from an image based on the input information from the user. …”
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Dynamic intrusion detection method for mobile ad hoc network using CPDOD algorithm
Published 2010“…In this paper, we propose a novel intrusion detection method by combining two anomaly methods Conformal Predictor k-nearest neighbor and Distancebased Outlier Detection (CPDOD) algorithm. …”
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Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim
Published 2024“…This research presents a mobile malware static detection method based on Naive Bayes. …”
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