Search Results - (( co detection method algorithm ) OR ( based information based algorithm ))*
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Engine fault diagnosis using probabilistic neural network
Published 2021“…A benchmarked engine fault model is developed and simulated in Maltab. The proposed algorithm is designed to detect 9 common engine faults based on the information extracted from exhaust gas, such as hydrocarbon (HC), carbon monoxide (CO), oxides of nitrogen (NOx), carbon dioxide (CO2) and dioxygen (O2). …”
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Proceedings -
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Breast cancer diagnosis through an optimization-driven multispectral gamma correction (ODMGC)
Published 2024“…The Optimization-Driven Multispectral Gamma Correction (ODMGC) algorithm overcomes challenges in gathering subtle information and detecting cancer in dense breast thermograms. …”
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Classification of gram-positive and gram-negative bacterial images based on machine learning algorithm
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Conference or Workshop Item -
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Automated fault detection and extraction under gas chimneys using hybrid discontinuity attributes
Published 2021“…Contrary to several available fault tracking techniques that use local seismic continuity like coherency attributes, our hybrid method is based on directed semblance, which incorporates aspects of Dave Haleâ��s superior fault-oriented semblance 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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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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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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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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Fundus image analysis for the detection of diabetic eye diseases-a review
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Working Paper -
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A review on the graphical user authentication algorithm : recognition-based and recall-based.
Published 2013“…User authentication has become an important consideration in information security as traditional password-based schemes are constantly subjected to attacks. …”
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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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