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 Dissertation | Assignment | Essay | Statistical Analysis | Coding & Algorithm | Resit Dissertation | Powerpoint | Poster

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TutorsIndia Lab @ TutorsIndia.Com Engineering & technology (E&T) Lab at TutorsIndia is involved in exploring novel research areas by conducting dynamic research. It promotes innovation in all fields of engineering by advancing the technology with structured and continuous research. The problems and challenges faced by the existing technologies and trends are explored by our researchers exists in scholarly literature, in theory, or in practices that needs deliberate investigation. These problems are identified and fixed by our researchers by suggesting better novel alternatives with appropriate tools, technologies and approaches, thereby proving their effectiveness in real time applications.

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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.

SDCC • 2020 Dissertation | Assignment | Essay | Statistical Analysis | Coding & Algorithm | Resit Dissertation | Powerpoint | Poster

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Dissertation | Assignment | Essay | Statistical Analysis | Coding & Algorithm | Resit Dissertation | Powerpoint | Poster

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