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The efficacy of personal computer (PC) AI image enhancer software on low and high contrast PA chest radiograph: an experimental study
Published 2026“…Chest radiographs (CXRs) are commonly used to assess thoracic anatomy, although visualisation issues continue, particularly in low-contrast CXRs. …”
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Article -
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Enhancing understanding of programming concepts through physical games
Published 2017“…The objective of our teaching approach is to introduce playing physical games using learner's body movement) in contrast to purely computer-based or board games as a tool to teach programming related subjects. …”
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Development of sensor based transparent object handling using robot manipulator
Published 2024text::Final Year Project -
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Leaf condition analysis using convolutional neural network and vision transformer
Published 2024“…In this paper, contrast boosting, sharpening, and image segmentation are used to create an unprocessed leaf disease image dataset. …”
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Article -
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New Hybrid Multi-Objective Optimization Technique for Multi-DG Installation in Bulk Distribution System
Published 2025“…The proposed efficacy is evaluated using a bulk distribution system, i.e. IEEE 118-bus RDS, and the outcomes are contrasted with multi-objective Evolutionary Programming (MO-EP) and multiobjective Moth Flame Optimization (MO-MFO) approaches. …”
Conference paper -
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Comparative Analysis of Cervical Cell Classification Using Machine Learning Algorithms
Published 2026journal::journal article -
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Development Of Semi-Automatic Liver Segmentation Method For Three-Dimensional Computed Tomography Dataset
Published 2017“…The liver segmentation program with proposed algorithm is evaluated with CT datasets obtained from SLIVER07 to prove its effectiveness in liver segmentation. …”
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Monograph -
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Design and implementation of real data fast fourier transform processor on field programmable gates array
Published 2015“…In order to program the FPGA, Verilog Hardware Description Language (Verilog HDL) is used. …”
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Thesis -
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Image Improvement Technique Using Feed Forward Neural Network
Published 2004“…The program has been implemented using MATLAB version 6.5 as programming language.Finally, unsharp mask filter based neural network with different mask sizes has been investigated. …”
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10
Detection of Microcalcification Using Mammograms
Published 2004“…This project develops the program using MATLAB and Borland C++ to enhance the digitized mammograms image by using the image processing technique. …”
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Final Year Project -
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Fpga-Based Accelerator For The Identification Of Finger Vein Pattern Via K-Nearest Centroid Neighbors
Published 2016“…As almost all finger vein recognition algorithms were implemented using software such as MATLAB which is based on general-purpose processor, the processing speed become the bottleneck of the development of finger vein recognition. …”
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12
Cognitive selection mechanism performance in IEEE 802.11 WLAN
Published 2013“…A heuristic selection model was developed namely Evaluative AP Selection which used LINUX Bash script programming whilst the internet connection speed test was ran by means of PHP script. …”
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Article -
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HUMAN MOOD DETECTOR BY USING DIGITAL IMAGE PROCESSING
Published 2006“…These distinct criteria will he used to develop an algorithm that differentiates all the three emotions described before. …”
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Final Year Project -
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Interactive blood vessel segmentation from retinal fundus image based on canny edge detector
Published 2021“…The program will draw out the vessel edges. After that, those vessel edges will be segmented to bring focus on its details or detect the abnormal vessel. …”
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DC-based PV-powered home energy system
Published 2017“…The energy measurements are modelled by the new proposed mathematical equations. Simulink MATLAB is used as a simulation program to imitate the processes of the practical stages of this research. …”
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Multi-sensor fusion for automated guided vehicle positioning
Published 2010“…Radio frequency module is used to transfer sensors reading from the mobile robot to a host PC has software program written on LabVIEW, which has a positioning algorithm and graphical display for robot position. …”
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19
Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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Framework for pedestrian walking behaviour recognition to minimize road accident
Published 2021“…The results indicate the following: (1) From 262 samples, 66.80% and 48.10% of respondents use mobile phones for calling and chatting, respectively. (2) 263 samples of participants are obtained and analysed, and 90 features are extracted from each sample. (3) 100% classification accuracy are obtained for each class (normal walking, calling, chatting, and running) using the grid optimiser method in machine learning. (4) The precision of classification using Euclidean algorithm for normal walking and calling is 70%. …”
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