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)
- 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
- 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
- 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