Search Results - (( co detection method algorithm ) OR ( feed information based algorithm ))*
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Cloud co-residency denial of service threat detection inspired by artificial immune system
Published 2024journal::journal article -
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Cloud Co-Residency Denial of Service Threat Detection Inspired by Artificial Immune System
Published 2024“…This research also proposed a method in detecting co-residency attacks. In this paper the co-residency attack detection model was proposed and tested until satisfactory results were obtained with the datasets. …”
Proceedings Paper -
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Cloud co-residency denial of service threat detection inspired by artificial immune system
Published 2018“…This research also proposed a method in detecting co-residency attacks. In this paper the co-residency attack detection model was proposed and tested until satisfactory results were obtained with the datasets. …”
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Proceeding Paper -
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Translating medical image to radiological report: Adaptive multilevel multi-attention approach
Published 2022“…The potential of a convolutional neural network (CNN) with residual attention module (RAM) is demonstrated as a strong visual encoder for multi-label abnormality detection. The multilevel visual features (local and global) are extracted from proposed visual encoder to retrieve regional-level and abstract-level radiology-based semantic information. …”
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Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach
Published 2017“…To address this problem, a new algorithm is proposed, which uses a co-clustering strategy to detect prospective and retrospective space-time disease clusters with no restriction on shape and size. …”
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Advanced chirped spectral modulation technique and particle swarm optimization algorithms for effective indoor air pollution detection and monitoring
Published 2025“…The use of PSO and CSM altogether allowed for detecting carbon dioxide CO2, carbon monoxide CO, and nitrogen dioxide NO2 down to 10?…”
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Multiplex real-time PCR detection of respiratory viruses in lower respiratory tract infections in children
Published 2018“…Molecular methods detect more viral aetiologies than conventional methods, with simultaneous detection of multiple respiratory viruses. …”
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A novel hybrid edge detection algorithm based on wavelet thresholding and ICA
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Working Paper -
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A BIOLOGICALLY INSPIRED OBJECT RECOGNITION SYSTEM
Published 2010“…Some of these models are based on the feed-forward mechanism of information communication in cortex where the information is communicated between the different visual areas from the lower areas to the top areas in a feed-forward manner; however, the performance of these models has been affected much by the increase of clutter in the scene as well as occlusion. …”
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Thesis -
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BIOLOGICALLY INSPIRED OBJECT RECOGNITION SYSTEM
Published 2010“…Some of these models are based on the feed-forward mechanism of information communication in cortex where the information is communicated between the different visual areas from the lower areas to the top areas in a feed-forward manner; however, the performance of these models has been affected much by the increase of clutter in the scene as well as occlusion. …”
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Fundus image analysis for the detection of diabetic eye diseases-a review
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Working Paper -
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Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves
Published 2024“…The proposed method integrates colour and texture feature-based image analysis with machine learning algorithms for classification. …”
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Thesis -
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FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems
Published 2016“…Robust multi-user detection (MUD) methods based on space division multiple access (SDMA) techniques are essential to efficiently exploit the electromagnetic spectrum. …”
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Pengesanan Kerosakan Bahan Penebat Transformer Dengan Menggunakan Rangkaian Neural Buatan
Published 2006“…A literature review showed that conventional fault diagnosis method, i.e. the ratio methods (Rogers, Dornenburg and IEC) and the key gas method. …”
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Monograph -
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Neural Networks based fault diagnosis of ac motors
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