Computing: Recent submissions
Now showing items 41-60 of 103
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Client-based confidential data sharing using untrusted clouds
(2021 , Master Thesis)Cloud storage has been used widely by organizations and individuals. However, using known cloud providers is not a solution that can fit the needs of many entities that need to store private and sensitive data. This is due ... -
Privacy-preserving data aggregation in smart power grid systems
(2021 , Master Thesis)Smart Meters (SMs) are IoT end devices used to collect user utility consumption withlimited processing power on the edge of the smart grid (SG). While SMs have significantapplications in providing data analysis to the ... -
Encoder-decoder architecture for ultrasound IMC segmentation and CIMT prediction
(2021 , Master Thesis)Cardiovascular diseases (CVDs) have shown a huge impact on the number of deaths in the world. Thus, Common Carotid Artery (CCA) segmentation and Intima-Media Thickness (IMT) measurement have been significantly implemented ... -
Quantum key distribution with application to IOT security
(2021 , Master Thesis)The Internet of Things (IoT) connects billions of machines that can interact with each other. IoT is one of the fastest-growing areas in the history of computing, and will continue in this direction in the 6G era. New ... -
Free Chain: Enabling Freedom of Expression through Public Blockchains
(2021 , Master Thesis)Everyone should have the right to expression and opinion without interference. Nevertheless, Internet censorship is often misused to block freedom of speech. The distributed ledger technology provides a globally shared ... -
DDI: Drones Detection and Identification using Deep Learning Techniques
(2021 , Master Thesis)Drones are becoming increasingly popular not only for recreational purposes but in day-to-day applications in engineering, medicine, logistics, security and others. Besides their useful applications, an alarming concern ... -
Performance Evaluation of Multimedia Transmission over Error-Prone Wireless Channel Using Block and Stream Ciphers.
(2021 , Professional Masters Project)Network security is one of the crucial topics discussed nowadays, as the world is emerging towards new systems and technologies such as Artificial Intelligence (AI), blockchain, and Internet of Things (IoT). Cryptography ... -
Image Steganography Using Deep Learning Methods to Detect Covert Communication in Untrusted Channels
(2021 , Master Thesis)Media has become a primary medium of communication with the help of the constantly evolving technology. Social media like Facebook, YouTube, Twitter, WhatsApp, and other sites have become a platform for exchanging audio, ... -
An efficient PPG Compression Technique for Wearable Health Devices
(2021 , Master Thesis)Photoplethysmography is a simple, widely used, low-cost technique to acquire important diagnostic information for assessing significant physiological parameters of the human body based on the amount of light reflected from ... -
DYNAMIC RESOURCE ALLOCATION OF EMBB/URLLC TRAFFIC IN 5G NR
(2021 , Master Thesis)5G technology is intended to support three promising services with heterogeneous requirements: Ultra-Reliable and Low Latency Communication (uRLLC), enhanced Mobile Broadband (eMBB) and massive Machine Type Communication ... -
Deep Learning IoT Malware Detection Model for IoMT Edge Devices
(2021 , Master Thesis)Internet of Things (IoT) is defined as the massive collection of physical devices being connected to the Internet. IoT has a positive impact in multiple fields, such as health, agriculture, and power management sectors by ... -
Deep Reinforcement Learning for Efficient Uplink NOMA SWIPT Transmissions
(2021 , Master Thesis)A key rival technology in radio access strategies for next generation cellular communications is non-orthogonal multiple access (NOMA) due to its enhanced performance compared to existing multiple access techniques such ... -
Blockchain Technology and Reputation System for Smart Grids to Address Cyber-Attacks
(2021 , Master Thesis)The smart grid model has made a big technological leap over the traditional electrical grid. This model contributes to protecting the physical environment as it provides many benefits such as improved quality of services, ... -
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 ... -
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. ... -
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 ... -
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 ... -
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 ...
