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Literature Survey On Stereo Vision Disparity Map Algorithms
Published 2016“…To assist future researchers in developing their own stereo matching algorithms, a summary of the existing algorithms developed for every stage of processing is also provided. …”
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Development of obstable avoidance system for 3D robot navigation
Published 2024“…In this project, an algorithm was developed to implement an obstacle avoidance system in 3D robot navigation. …”
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Final Year Project / Dissertation / Thesis -
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Real time traceability module for halal logistic transportation using GPS and geofence technique
Published 2016“…This study presents a merged traceability module of GPS tracking system technology with geofence algorithm, entitled the Halal tracer. …”
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Interactive learning package for artificial neural network (Demonstration Module) / Camellia Mohd Kamal
Published 2004“…For Perception there will be the Description Neuron Model, Perceptron Basic Architecture and perceptron Algorithm with one example of solved problem. For the Feed Forward, Recurrent and Self Organizing Map Networks there are the Neuron Model, Basic Architecture and Training Algorithm. …”
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Campus hybrid intrusion detection system using SNORT and C4.5 Algorithm
Published 2020“…The basis of misused detection module is snort, and anomaly detection module is constructed by using Algorithm C4.5 detectors. …”
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Conference or Workshop Item -
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Self-configured link adaptation using channel quality indicator-modulation and coding scheme mapping with partial feedback for green long-term evolution cellular systems
Published 2015“…In the frequency domain of this scheduler, a new mapping between channel quality indicator (CQI) and modulation and coding scheme (MCS) is proposed to find the tradeoff between conflicting criteria. …”
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Pyroelectric infrared sensor for intruder detection
Published 2004“…Wireless communications network by using frequency modulation technique is developed to handle data transmission through the air. …”
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Semantic focus fusion based on deep learning for deblurring effect
Published 2024“…The feed-forward mapping module is a mapping module connecting the beginning layer to the last layer of the network. …”
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Smart citation manager
Published 2019“…(iv) Text extraction algorithm facilitate the retrieving text from PDF document to mind map. …”
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Final Year Project / Dissertation / Thesis -
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Intelligent transmission line fault diagnosis using the Apriori associated rule algorithm under cloud computing environment
Published 2024“…In this paper, the optimised Apriori association rule algorithm is used as technical support to realise the function of interlocking fault diagnosis in the intelligent fault diagnosis system module. …”
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Implementation and simplification of an Output Shifted Coding Modulation (OSCM) on a high speed DSP processor / Roslina Mohamad, Wan Nor Syafizan Wan Muhamad and Rosmalini Abdul Ka...
Published 2009“…The new coded modulation is called as Output Shifted Coding Modulation (OSCM). …”
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Research Reports -
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Optimization Of Two-Dimensional Dual Beam Scanning System Using Genetic Algorithms
Published 2008“…Also, this research involves in developing a machine-learning system and program via genetic algorithm that is capable of performing independent learning capability and optimization for scanning sequence using novel GA operators. …”
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A deep learning approach for facial detection in targeted billboard advertising / Lau Sian En
Published 2025“…The system has two modules which are the Realtime Module and the Dataset Evaluation Module. …”
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Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui
Published 2016“…This thesis aimed to investigate and develop a novel parameterized architecture design for SENSE algorithm. …”
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Thesis -
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ReSTiNet: An efficient deep learning approach to improve human detection accuracy
Published 2023“…ReSTiNet is a novel small convolutional neural network that overcomes the problems of network size, detection speed, and accuracy. The developed ReSTiNet contains fire modules by evaluating their number and position in the network to minimize the model parameters and network size. …”
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ReSTiNet: An Efficient Deep Learning Approach to Improve Human Detection Accuracy
Published 2023“…ReSTiNet is a novel small convolutional neural network that overcomes the problems of network size, detection speed, and accuracy. The developed ReSTiNet contains fire modules by evaluating their number and position in the network to minimize the model parameters and network size. …”
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