Search Results - (( variable aid based algorithm ) OR ( java application customization algorithm ))
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A novel computer-aided multivariate water quality index
Published 2015“…A computer-aided multivariate water quality index is developed based on partial least squares (PLS) regression. …”
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An effective spectral approach to solving fractal differential equations of variable order based on the non-singular kernel derivative
Published 2023“…Physical phenomena with variable memory and fractal variable dimension can be described using these operators. …”
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ADAPTIVE MODULATION AND CODING FOR WIMAX SYSTEMS
Published 2006“…First the SNR estimation using the three algorithms is implemented in Wimax system, based on the transmission protocols specified in Wimax. …”
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Final Year Project -
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Seed disperser ant algorithm for optimization / Chang Wen Liang
Published 2018“…The Seed Disperser Ant Algorithm (SDAA) is developed based on the evolution or expansion process of Seed Disperser Ant (Aphaenogaster senilis) colony. …”
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Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…However, the complexity of the kmedoid based algorithms in general is more than the complexity of the k-means based algorithms. …”
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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Systematic design of chemical reactors with multiple stages via multi-objective optimization approach
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Velocity Field Measurement of a Round Jet using Quantitative Schlieren
Published 2011“…The deflection vector estimation was carried out using phase based optical flow algorithms. The density field is further exploited to extract the axial and radial velocity vectors with the aid of continuity and energy equations. …”
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Prediction of river water quality based on Artificial Neural Network / Danial Mustaqim Azmi ... [et al.]
Published 2024“…This research looks at how the Artificial Neural Network (ANN) algorithm predicts the Water Quality Index that will aid the environmental agencies and consumers. …”
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Ultrasound-based tissue characterization and classification of fatty liver disease: A screening and diagnostic paradigm
Published 2015“…We then review the state-of-the-art US-based CAD techniques that utilize a range of image texture based features like entropy, Local Binary Pattern (LBP), Haralick textures and run length matrix in several automated decision making algorithms. …”
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Mortality prediction in critically ill patients using machine learning score
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Proceeding Paper -
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Machine Learning Based Optimal Design of On-Road Charging Lane for Smart Cities Applications
Published 2025Article -
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Diagnostic power of resting-state fMRI for detection of network connectivity in Alzheimer's disease and mild cognitive impairment: a systematic review
Published 2021“…Nevertheless, various concerns over the homogeneity of data based on patient selection, scanner effects, and the variable usage of classifiers and algorithms pose a challenge for ML-based image interpretation of rs-fMRI datasets to become a mainstream option for diagnosing AD and predicting the conversion of HC/MCI to AD.…”
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Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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Conference or Workshop Item -
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Seismic wave modeling and high-resolution imaging
Published 2022“…An advanced wave-modeling algorithm based on low-rank approximation is developed, resulting in high-resolution imaging and an improved modeling environment. …”
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Book -
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Breast Cancer Diagnosis Using Neuro-CBR Approach
Published 2005“…In this study, the Neural Network (NN) simulator with backpropagation algorithm was developed to predict the condition of the breast cancer tumor whether it is benign or maligant and Case-Base Reasoning (CBR) engine developed to classify the cancer stages as well as suggesting appropriate treatment to the patient. …”
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Thesis -
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An optimized ensemble for predicting reservoir rock properties in petroleum industry
Published 2013“…The first method isbased on fuzzy genetic algorithm to overcome the premature convergence. The second method is based on two other functions instead of traditional fitness function in genetic algorithmnamely MSE to determine the individual's weight in an ensemble.This approach is based on Huber and Bisquare functions which are meant to avoid the influence of outliers that can be found in many real data such as geosciences data. …”
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