Search Results - (( development framework recognition algorithm ) OR ( java application optimization algorithm ))
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Conference or Workshop Item -
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Conference or Workshop Item -
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A framework for Malaysian Sign Language Recognition using deep learning initiatives / Imran Md Jelas
Published 2022“…Hence, the main objective of this paper is to develop a Framework for Malaysian Sign Language Recognition using Deep Learning. …”
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Article -
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Enhanced human activity recognition framework for wearable devices based on explainable AI
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Conference or Workshop Item -
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Danger theory inspired artificial immune system for pattern recognition
Published 2007“…Numerous AIS-based applications have been discovered such as anomaly detection system and user-preference based web contents applications of which possess pattern recognition ability. Negative Selection (NS) algorithm is the most commonly researched algorithm within the AIS framework. …”
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Research Report -
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A Divide-and-Distribute Approach to Single-Cycle Learning HGN Network for Pattern Recognition
Published 2010“…Distributed Hierarchical Graph Neuron (DHGN) is a single-cycle learning distributed pattern recognition algorithm, which reduces the computational complexity of existing pattern recognition algorithms by distributing the recognition process into smaller clusters. …”
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Development of an Automated Technique for Reconstructing Jawi Characters in Historical Documents
Published 2007“…A noise model has been developed to test the reliability of the proposed algorithm. …”
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Thesis -
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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A noise filtering framework in multi-channel speech enhancement system for environmental noises / Pavani Cherukuru
Published 2023“…This is to identify suitable algorithms for proposing a noise filtering framework for environmental noises. …”
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Thesis -
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Deep learning detector for pests and plant disease recognition
Published 2020“…The goal of this project is to develop a framework that can classify the class of a plant, and detect areas of the plant leaf already affected by diseases, and eventually deploy the framework on a mobile application. …”
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Final Year Project / Dissertation / Thesis -
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A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition
Published 2002“…A vector quantization model that incorporate rough sets attribute reduction and rules generation with a modified version of the K-means clustering algorithm was developed, implemented and tested as a part of a speech recognition framework, in which the Learning Vector Quantization (LVQ) neural network model was used in the pattern matching stage. …”
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Thesis -
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Adapting robot kinematics for human-arm motion recognition
Published 2007“…This paper presents a novel method to the analysis of human-arm motion, in particular improving the efficiency of conventional motion recognition algorithms. Contrary to the prior art methods, this research develops a framework for human-arm motion recognition where qualitative normalised templates (QNTs) is proposed to replace the conventional approaches. …”
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Article -
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Fuzzy qualitative human motion analysis
Published 2009“…This paper proposes a fuzzy qualitative approach to vision-based human motion analysis with an emphasis on human motion recognition. It achieves feasible computational cost for human motion recognition by combining fuzzy qualitative robot kinematics with human motion tracking and recognition algorithms. …”
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The application of suitable sports games for junior high school students based on deep learning and artificial intelligence
Published 2025“…In HMDB51 dataset, the proposed average detection accuracy of ST-GCN action recognition algorithm based on MediaPipe framework reaches 88.3%. …”
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