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101
Design and development of an embedded controller for roboticmanipulator
Published 1998“…MPA is capable of determining a simplified control law by selecting the most dominant terms from a library of nonlinear functions associated with the robot's equations of motion. …”
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102
Big Data Energy Management, Analytics and Visualization for Residential Areas
Published 2020“…A high-speed distributed computing cluster based on commodity hardware with efficient big data mathematical algorithm is employed in this work. …”
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103
Using genetic algorithms to optimize software quality estimation models
Published 2004“…Assessing software quality is fundamental in the software developing field. Most software quality characteristics cannot be measured before a certain period of use of the software product. …”
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masterThesis -
104
An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
Published 2016“…Genetic algorithm was chosen as the main methodology to build resource scheduler. …”
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105
Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
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doctoralThesis -
106
Fixed-parameter algorithms for hitting set problems. (c2006)
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masterThesis -
107
An efficient approach for textual data classification using deep learning
Published 2022“…Textual data contains much useless information that must be pre-processed. …”
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108
Bee colony algorithm for assigning proctors to exams. (c2013)
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masterThesis -
109
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
Published 2024“…The proposed method, named Eye-means, emulates the natural ocular process of estimating initial centroids. To achieve this goal, supervised machine learning was employed to train models on graphs with labeled data points, where each graph contains a set of points and a label indicating the centroid determined by K-means. …”
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masterThesis -
110
Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
Published 2021“…Whilst different models are proposed for STLF, they are based on small historical datasets and are not scalable to process large amounts of big data as energy consumption data grow exponentially in large electric distribution networks. …”
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111
Convergence and steady-state analysis of the normalized least mean fourth algorithm
Published 2007article -
112
Convergence and steady-state analysis of the normalized least mean fourth algorithm
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113
The buffered work-pool approach for search-tree based optimization algorithms
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conferenceObject -
114
Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
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doctoralThesis -
115
A Modular Reconfigurable Architecture for Asymmetric and Symmetric-key Cryptographic Algorithms
Published 2007“…Conventional methods for implementing ciphers are unable to provide all three crucial characteristics in a single solution: high throughput, low-cost, and cipher-agility. This thesis develops a reconfigurable architecture capable of implementing most symmetric-key as well as asymmetric-key ciphers. …”
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masterThesis -
116
A distributed genetic algorithm for deterministic and stochastic labor scheduling problems
Published 1999“…The pervasiveness and economic significance of these three problems has motivated ongoing development and refinement of heuristic solution procedures. …”
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117
Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining
Published 2021“…An integrated web application is developed to mock up the end-to-end process in ecommerce. Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. …”
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118
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119
Artificial intelligence-based methods for fusion of electronic health records and imaging data
Published 2022“…The most important question when using multimodal data is how to fuse them—a field of growing interest among researchers. …”
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120
A quantum algorithm for evolving open quantum dynamics on quantum computing devices
Published 2020“…<p dir="ltr">Designing quantum algorithms for simulating quantum systems has seen enormous progress, yet few studies have been done to develop quantum algorithms for open quantum dynamics despite its importance in modeling the system-environment interaction found in most realistic physical models. …”