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GPU-based odd and even hybrid string matching algorithm
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Efficient usage strategy of limited shared memory in Graphical Processing Unit (GPU) for accelerate DNA sequence alignment / Ahmad Hasif Azman
Published 2023“…The performance of the DNA sequence alignment system is highly dependent on the algorithm, GPU designed architecture and accelerator performance. …”
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A review of genetic algorithms and parallel genetic algorithms on Graphics Processing Unit (GPU)
Published 2013“…This review attempts to study and analyse the behaviour of GA and parallel GA categories to work in GPU depending on the type of genetic algorithm. …”
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GPU-accelerated extractive multi-document text summarization using decomposition-based multi-objective differential evolution
Published 2025“…This paper introduces the first-ever GPU-accelerated decomposition-based multi-objective differential evolution (GMODE/D), specifically designed to overcome these performance bottlenecks in optimization-based extractive multi-document text summarization. …”
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Improving parallel self-organizing map using heterogeneous uniform memory access / Muhammad Firdaus Mustapha
Published 2018“…Self-organizing Map (SOM) is a very popular algorithm that has been used as clustering algorithm and data exploration. …”
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Improving parallel Self-organizing Map using heterogeneous uniform memory access / Muhammad Firdaus Mustapha
Published 2018“…Self-organizing Map (SOM) is a very popular algorithm that has been used as clustering algorithm and data exploration. …”
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Book Section -
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Computer vision that can ‘see’ in the dark
Published 2024“…Thus, we have developed a computer vision-based algorithm recognizing 11 actions based on action recognition in dark (ARID) dataset. …”
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Face reidentification system to track factory visitors using OpenVINO
Published 2020“…That is the reason why we need GPU. GPU are usually used to train CNN models and include tons of calculations to make predictions. …”
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MEDCnet : A Memory Efficient Approach for Processing High-Resolution Fundus Images for Diabetic Retinopathy Classification Using CNN
Published 2025“…These detailed features are then utilized for classification based on standard machine learning algorithms. We have evaluated our proposed approach using the DDR and APTOS datasets. …”
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Enhanced Model Compression for Lipreading Recognition based on Knowledge Distillation Algorithm
Published 2025“…Therefore, three knowledge distillation compression algorithms are proposed in this paper: Three different knowledge distillation compression algorithms, an offline model compression algorithm based on multi-feature transfer (MTOF), an online model compression algorithm based on adversarial learning (ALON), and an online model compression algorithm based on consistent regularization(CRON) to complete the compression of the Chinese character sequence output by the model. …”
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Improving embedded linear elasticity in deformable models using stiffness matrix
Published 2015“…Therefore, it is difficult to select an appropriate material in the element, whether stiff or soft, that will deform in the same manner. Thus, many GPU-based collision detection algorithms have been limited to examining the circumstances of the collision in discrete time. …”
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Parallel batch self-organizing map on graphics processing unit using CUDA
Published 2018“…The most computationally expensive parts of its training algorithm (such as steps to compute distance between each data vector and neuron, and determining the Best Matching Unit based on minimum distance) are identified and mapped on GPU to be processed in parallel. …”
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Parallel batch self-organizing map on graphics processing unit using CUDA
Published 2018“…The most computationally expensive parts of its training algorithm (such as steps to compute distance between each data vector and neuron, and determining the Best Matching Unit based on minimum distance) are identified and mapped on GPU to be processed in parallel. …”
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Parallel Kalman filter-based multi-human tracking in surveillance video
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User song preferences using preference learning in artificial intelligence
Published 2022“…The most common model is popularity-based model because it is simple and intuitive. That another algorithm is collaborative filtering, this algorithm aims to find similarity between users, songs, and artists. …”
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Final Year Project / Dissertation / Thesis -
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Graph processing hardware accelerator for shortest path algorithms in nanometer very large-scale integration interconnect routing
Published 2007“…It has been shown that the performance of a graph-based shortest path algorithm can severely be affected by the performance of its priority queue. …”
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