Recent Master’s Research Topic Ideas for Computer Science Engineering 2020
The present article helps the USA, the UK and the Australian students pursuing their computer Science postgraduate degree to identify right topic in the area of computer science. These dissertation topics are researched in-depth at various British universities. Tutors India offers UK Dissertation Research Topics Services and assignment writing services in Computer Science Engineering Domain.------- Contact: Website: www.tutorsindia.com Email: info@tutorsindia.com United Kingdom: +44-1143520021 India: +91-4448137070 Whatsapp Number: +91-8754446690----
The present article helps the USA, the UK and the Australian students pursuing their computer Science postgraduate degree to identify right topic in the area of computer science. These dissertation topics are researched in-depth at various British universities. Tutors India offers UK Dissertation Research Topics Services and assignment writing services in Computer Science Engineering Domain.-------
Contact:
Website: www.tutorsindia.com
Email: info@tutorsindia.com
United Kingdom: +44-1143520021
India: +91-4448137070
Whatsapp Number: +91-8754446690----
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<strong>Research</strong> paper<br />
RECENT MASTER'S RESEARCH<br />
TOPIC IDEAS FOR COMPUTER<br />
SCIENCE ENGINEERING IN <strong>2020</strong><br />
Exclusive <strong>for</strong> scholars pursuing their Master's in <strong>Computer</strong> <strong>Science</strong><br />
<strong>Engineering</strong> with base papers (peer-reviewed articles)<br />
Future <strong>Topic</strong>s in <strong>Computer</strong> <strong>Science</strong> <strong>Engineering</strong><br />
Tags: Resource Management | Task Scheduling | Load balancing | Machine Learning Technique<br />
| Artificial intelligence | Web Mining | Big Data Storage System | Cloud Computing
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TutorsIndia Lab @<br />
TutorsIndia.Com<br />
<strong>Engineering</strong> & technology (E&T) Lab at TutorsIndia is involved in<br />
exploring novel research areas by conducting dynamic research. It<br />
promotes innovation in all fields of engineering by advancing the<br />
technology with structured and continuous research. The problems and<br />
challenges faced by the existing technologies and trends are explored by<br />
our researchers exists in scholarly literature, in theory, or in practices that<br />
needs deliberate investigation. These problems are identified and fixed<br />
by our researchers by suggesting better novel alternatives with<br />
appropriate tools, technologies and approaches, thereby proving their<br />
effectiveness in real time applications.
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Artificial intelligence (AI) based data mining and pattern recognition method <strong>for</strong><br />
knowledge extraction & decision-making process over the cloud environment.<br />
Design and implementation of autonomic resource provisioning and a scheduling<br />
method to satisfy the user QoS requirement in a cloud plat<strong>for</strong>m.<br />
The implementation of privacy-aware efficient resource scheduling and load<br />
balancing approach <strong>for</strong> big data storage system.<br />
Location-based image retrieval system using deep neural network and image Features<br />
In<strong>for</strong>mation Fusion technique.<br />
To detect network intrusion/attacks over the cloud data using soft computing and<br />
optimization technique.
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Intelligent computing system based on association rule mining technique <strong>for</strong> better<br />
decision making in large-scale cloud storage systems.<br />
To discover and analyse the required in<strong>for</strong>mation using machine learning technique<br />
and latent semantic mining of weblog data.<br />
Long-Short Term Memory (LSTM) and recurrent neural network <strong>for</strong> automatic feature<br />
extraction and classification of stock price prediction.<br />
Secure cloud framework by combing Lattice-based Cryptography and attribute-based<br />
access control scheme.<br />
To overcome the security and privacy issues cloud system using Proxy re-encryption<br />
and Identity-based cryptography technique.
Multi-objective function based meta-heuristic optimization and Recurrent neural<br />
network <strong>for</strong> intrusion detection of cloud system.<br />
Clinical disease (breast cancer and cardiovascular disease) predictive modelling using<br />
machine learning techniques.<br />
Fully automated disease predictive model using feature extraction and ML-based<br />
recurrent neural network approach in medical application.<br />
Effective cloud service provider using group data sharing technique to decrease the<br />
computational overheads.<br />
The implementation of image data augmentation using convolutional neural network<br />
and Generative adversarial network approach.<br />
SDCC • <strong>2020</strong><br />
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