Browsing Computer Science & Engineering by Publication Date
Now showing items 41-60 of 96
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EVALUATION OF 2D AND 3D TECHNIQUES FOR SENTIMENT VISUALIZATION
(2018 , Master Thesis)With the rise of user generated content on the Internet, sentiment visualization is being highly researched and practiced. Advances in information visualization, such as the use of three-dimensional visualizations need to ... -
A Threat-Specific Risk Evaluation Tool For Cloud Environments
(2018 , Professional Masters Project)With the spread of using cloud computing; both as organizations and individual, it has become a target for attackers. The cloud environment has several weaknesses that pose threats to its users’ assets. To assess any type ... -
Real-time Tweet Summarization Mobile Application
(2018 , Professional Masters Project)With the emergence of the massive volume of content through social media platforms, users are getting overwhelmed with information, though searching for the topic will give you filtered information that interests you. ... -
QoE-Aware Resource Allocation For Crowdsourced Live Streaming: A Machine Learning Approach
(2019 , Master Thesis)In the last decade, empowered by the technological advancements of mobile devices and the revolution of wireless mobile network access, the world has witnessed an explosion in crowdsourced live streaming. Ensuring a ... -
Generative Adversarial Networks Based Reconstruction and Restoration of Cultural Heritage
(2019 , Master Thesis)Cultural heritage takes an important part in defining the identity and the history of a civilization or a nation. Valuing and preserving this heritage is thus a top priority for governments and heritage institutions. ... -
IOTA Viability In Healthcare Industry
(2019 , Master Thesis)The Internet of Things is a novel paradigm which involves the increasing prevalence of objects and entities supported with identifiers and the ability to exchange the data over a network. However, with all these advantages ... -
Differential Architecture Search in Deep Learning for DNA Splice Site Classification
(2019 , Master Thesis)The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging the conventional methods used in the interpretation of the human genome. The demand for robust algorithms over the ... -
Application of Machine Learning Techniques for The Prediction of Decompressive Hemicraniectomy Prognosis in Acute Ischemic Stroke
(2019 , Master Thesis)Stroke is one of the leading causes of death in the world with the number of people suffering from it increasing every year. Ischemic strokes, one of the two main types of stroke, occur when blood clots block brain ... -
Neuropathy Classification of Corneal Nerve Images Using Artificial Intelligence
(2019 , Master Thesis)Nerve variations in the human cornea have been associated with alterations in the neuropathy state of a patient suffering from chronic diseases. For some diseases, such as diabetes, detection of neuropathy prior to ... -
Time-Aware Workload Charactrization And Prediction For Proactive Auto-Scaling Of Web Applications
(2019 , Master Thesis)Proactive auto-scaling techniques aim to predict the future workload of web applications to provision the required resources, such as virtual machines (VMs), ahead of time. Nevertheless, deciding the optimal number of ... -
SparkIR: a Scalable Distributed Information Retrieval Engine over Spark
(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 ... -
Novel Techniques for Blockchain-enabled IoT Systems Leveraging Reinforcement Learning
(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
(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
(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
(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
(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 ... -
Staticand Dynamic Facial Emotion Recognition Using Neural Network Models
(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
(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
(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
(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 ...