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Study of ensemble learning with AdaBoost and NEAT
(2017-07)
Neural networks, ensemble algorithms, neuroevolution, and genetic algorithms all have shown the ability to solve classification problems in many areas of application. One of the problems in training neural networks is the ...
Content sensitivity based access control model for big data
(2017-07)
Big data technologies have seen tremendous growth in recent years. They are being widely used in both industry and academia. In spite of such exponential growth, these technologies lack adequate measures to protect the ...
Dynamic workload balancing and scheduling in Hadoop MapReduce with software defined networking
(2017-07)
Hadoop offers a platform to process big data. Hadoop Distributed File System (HDFS) and MapReduce are two components of Hadoop. Hadoop adopts HDFS which is a distributed file system for storing data and MapReduce for ...
Application of data analytics - Case studies
(2017-05)
Data analytics is the technique of finding knowledge by examining raw data. It is an important tool for researchers to verify existing knowledge or infer new knowledge. In this dissertation, we focus on anonymous traffic ...
Cyber physical approach and framework for micro devices assembly
(2017-07)
The emergence of Cyber Physical Systems (CPS) and Internet-of-Things (IoT) based principles and technologies holds the potential to facilitate global collaboration in various fields of engineering. Micro Devices Assembly ...