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Novel Techniques for Blockchain-enabled IoT Systems Leveraging Reinforcement Learning
(Computing, 2020 , Master Thesis)
In the last decade, blockchain and Smart Contracts (SCs) have attracted unprecedented
attention in academia and industry due to their technical innovation of providing
an immutable distributed ledger with secure cryptographic ...
Rail Robot for Rail Track Inspection
(Computing, 2020 , Master Thesis)
Railway transportation requires constant inspections and immediate maintenance to ensure public safety. Traditional manual inspections are not only time consuming, but also expensive. In addition, the accuracy of defect ...
Diabetic Reinopathy Classification using Deep Learning
(Computing, 2020 , Master Thesis)
With diabetes growing at an alarming rate, changes in the retina of diabetic patients causes a condition called diabetic retinopathy which eventually leads to blindness. Early detection of diabetic retinopathy is the best ...
A Deep Learning Based Approach To Detect Covert Channels Attacks and Anomaly In New Generation Internet Protocol IPv6
(Computing, 2020 , Master Thesis)
The increased dependence of internet-based technologies in all facets of life
challenges the government and policymakers with the need for effective shield mechanism
against passive and active violations. Following up ...
Recognizing Stereotyped Behavior in Children with Autism
(Computing, 2020 , Professional Masters Project)
This project works on helping in identifying and recognizing autistic children's
stereotyped behaviors, which can help in diagnosing autism on children. The
recognition accomplished by building a signal processing model ...
SparkIR: a Scalable Distributed Information Retrieval Engine over Spark
(Computing, 2020 , Master Thesis)
Search engines have to deal with a huge amount of data (e.g., billions of
documents in the case of the Web) and find scalable and efficient ways to produce
effective search results. In this thesis, we propose to use ...
Staticand Dynamic Facial Emotion Recognition Using Neural Network Models
(Computing, 2020 , Master Thesis)
Emotion recognition is the process of identifying human emotions. It is made
possible by processing various modalities including facial expressions, speech signals,
biometricsignals,etc. Withtheadvancementsincomputingt ...
Ensuring Quality of Service in Blockchain-Based Healthcare System
(Computing, 2020 , Master Thesis)
Blockchain is a distributed secure ledger that eliminates the need for centralized authority to store data. It provides decentralized, secure and trustless framework that does not require a third party for transaction ...
Multi-Connectivity Management and Orchestration Architecture Integrated With 5g Multi Radio Access Technology Network
(Computing, 2020 , Professional Masters Project)
The significant growth in the number of devices and the tremendous boost in
network/user traffic types and volume as well as the efficiency constraints of 4G
innovations have encouraged industry efforts and also financial ...
DDoS: DeepDefence and Machine Learning for identifying attacks
(Computing, 2020 , Master Thesis)
Distributed Denial of Service (DDoS) attacks are very common type of
computer attack in the world of internet today. Automatically detecting such type of
DDoS attack packets & dropping them before passing through the ...