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Brain tumor quantification equation: modeled on complete step response algorithm
Published 2012“…What is presented here is a novel brain tumor quantification method based on step response algorithm utilizing a model which itself was based on step response model resulting in smart and rapid quantification of brain tumor volume.…”
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Proceeding Paper -
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Diagnosis of Poor Control Loop Performance: Investigate Support Vector Regression Method on Stiction Quantification for Control Valve Nonlinearity
Published 2016“…This technique is less explored and very rarely applied in stiction quantification. A proper algorithm has been introduced for the SVR based stiction quantification. …”
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Final Year Project -
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Quantification and segmentation of breast cancer diagnosis: efficient hardware accelerator approach
Published 2022“…In combination, mammogram quantification creates a long-standing focus area. The algorithm proposed must reduce complexity and target data points distributed in iterative, and boost cluster centroid merged into a single updating process to evade the large storage requirement. …”
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Thesis -
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Message based random variable length key encryption algorithm.
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Article -
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Securing cloud data system (SCDS) for key exposure using AES algorithm
Published 2021“…The AES algorithm has its own structure to encrypt and decrypt sensitive data that make the attackers difficult to get the real data when encrypting by AES algorithm. …”
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Thesis -
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Retinal image blood vessel extraction and quantification with Euclidean distance transform approach
Published 2020“…The significantly high accuracy in this newly developed vessel diameter quantification algorithm indicates excellent potential for further development, evaluation, validation, and integration into ophthalmic diagnostic instruments.…”
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Article -
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A simple model-free butterfly shape-based detection (BSD) method integrated with deep learning CNN for valve stiction detection and quantification
Published 2020“…Based on the 15 benchmark industrial loops with stiction, the proposed BSD-CNN quantification algorithm has shown reasonable accuracy when compared to other published quantification methods in literature. …”
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A comparative study of vibrational response based impact force localization and quantification using different types of neural networks / Wang Yanru
Published 2018“…It may be ore accurate than MLPwhen there are multiple outputs. In addition, ANFIS uses hybrid learning algorithm. It is mixed with least mean square and gradient descent method, which cause many advantages, such as much better learning ability and less computational time. …”
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Thesis -
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Impacts of Butterworth post-filtering on absolute quantification of 99mTc SPECT/CT using nema phantom
Published 2024“…Background: Absolute quantification of radiotracer distribution using SPECT/CT imaging is crucial for dosimetry and personalized radionuclide therapy. …”
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Monograph -
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Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification
Published 2025“…This study investigated the feasibility and effectiveness of image-based techniques using advanced deep learning algorithms to quantify desiccation cracks in expansive soils. …”
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Final Year Project / Dissertation / Thesis -
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Quantitative study of iterative reconstruction algorithms of spect/ct in bone scan: a clinical and phantom study
Published 2024“…The integration of single photon emission computed tomography (SPECT) with computed tomography (CT), along with advancements in iterative image reconstruction algorithms, significantly enhances the feasibility of SPECT quantification in bone scan. …”
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Monograph -
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Computational intelligence approach for classification and risk quantification of metabolic syndrome / Habeebah Adamu Kakudi
Published 2019“…Genetic Algorithm(GA) is used to optimize the order of sequence of the input sample and the parameters of the Bayesian ARTMAP (BAM). …”
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Thesis -
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Classification and quantification of palm oil adulteration via portable NIR spectroscopy
Published 2017“…Pure and adulterated palm oil sample were classified using soft independent modeling class analogy (SIMCA) algorithm with model accuracy more than 0.95 reported for both transflectance and transmission modes. …”
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Classification and quantification of palm oil adulteration via portable NIR spectroscopy
Published 2024“…Pure and adulterated palm oil sample were classified using soft independent modeling class analogy (SIMCA) algorithm with model accuracy more than 0.95 reported for both transflectance and transmission modes. …”
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AUTOMATED MALARIA PARASITE QUANTIFICATION OF THIN BLOOD SMEAR
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Final Year Project -
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A comparative study of vibrational response based impact force localization and quantification using radial basis function network and multilayer perceptron
Published 2017“…A comparative study between these two algorithms was conducted via experimental approach. …”
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