Recent Master’s Research Topic Ideas for Computer Science Engineering 2020

Recent Master’s Research Topic Ideas for Computer Science Engineering 2020

Exclusive for scholars pursuing their Master’s in Computer Science Engineering with base papers (peer-reviewed articles)

1. Artificial intelligence (AI) based data mining and pattern recognition method for knowledge extraction & decision-making process over the cloud environment
2. Design and implementation of autonomic resource provisioning and a scheduling method to satisfy the user QoS requirement in a cloud platform
3. The implementation of privacy-aware efficient resource scheduling and load balancing approach for big data storage system
4. Location-based image retrieval system using deep neural network and image Features Information Fusion technique
5. To detect network intrusion/attacks over the cloud data using soft computing and optimization technique
6. Intelligent computing system based on association rule mining technique for better decision making in large-scale cloud storage systems
7. To discover and analyse the required information using machine learning technique and latent semantic mining of weblog data
8. Long-Short Term Memory (LSTM) and recurrent neural network for automatic feature extraction and classification of stock price prediction
9. Secure cloud framework by combing Lattice-based Cryptography and attribute-based access control scheme
10. To overcome the security and privacy issues cloud system using  Proxy re-encryption and Identity-based cryptography technique
11. Multi-objective function based meta-heuristic optimization and Recurrent neural network for intrusion detection of cloud system
12. Clinical disease (breast cancer and cardiovascular disease) predictive modelling using machine learning techniques
13. Fully automated disease predictive model using feature extraction and ML-based recurrent neural network approach in medical application
14. Effective cloud service provider using group data sharing technique to decrease the computational overheads
15. The implementation of image data augmentation using convolutional neural network and Generative adversarial network approach