Recent Master’s Research Topic Ideas for Computer Science Engineering 2020
                     Research paper
RECENT MASTER'S RESEARCH 
 TOPIC IDEAS FOR COMPUTER  
SCIENCE ENGINEERING IN 2020
Exclusive for scholars pursuing their Master's in Computer Science 
 Engineering with base papers (peer-reviewed articles)
Future Topics in Computer Science 
Engineering
Tags: Resource Management | Task Scheduling | Load balancing | Machine Learning Technique
| Artificial intelligence | Web Mining | Big Data Storage System | Cloud Computing
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Artificial intelligence (AI) based data mining and pattern recognition method for 
 knowledge extraction & decision-making process over the cloud environment.
Design and implementation of autonomic resource provisioning and a scheduling 
 method to satisfy the user QoS requirement in a cloud platform.
The implementation of privacy-aware efficient resource scheduling and load 
 balancing approach for big data storage system.
Location-based image retrieval system using deep neural network and image Features 
 Information Fusion technique.
To detect network intrusion/attacks over the cloud data using soft computing and 
 optimization technique.
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Intelligent computing system based on association rule mining technique for better 
 decision making in large-scale cloud storage systems.
To discover and analyse the required information using machine learning technique 
 and latent semantic mining of weblog data.
Long-Short Term Memory (LSTM) and recurrent neural network for automatic feature 
 extraction and classification of stock price prediction.
Secure cloud framework by combing Lattice-based Cryptography and attribute-based 
 access control scheme.
To overcome the security and privacy issues cloud system using Proxy re-encryption 
 and Identity-based cryptography technique.
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Multi-objective function based meta-heuristic optimization and Recurrent neural 
 network for intrusion detection of cloud system.
Clinical disease (breast cancer and cardiovascular disease) predictive modelling 
using
machine learning techniques.
Fully automated disease predictive model using feature extraction and ML-based 
 recurrent neural network approach in medical application.
Effective cloud service provider using group data sharing technique to decrease the 
 computational overheads.
The implementation of image data augmentation using convolutional neural network
and Generative adversarial network approach.
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