Browsing Computer Science & Engineering by Type "Master Thesis"
Now showing items 21-40 of 76
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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 ... -
Detecting market manipulation in stock market data
(2017 , Master Thesis)Anomaly Detection is an extensively researched problem that has diverse applications in many domains. Anomaly detection is the process of finding data points or patterns that do not conform to expected behavior within a ... -
Detecting Non-Technical Losses in Smart Grids Using Statistical Distances of Forecasting Residuals
(2024 , Master Thesis)Energy theft poses a significant challenge to the sustainability of smart grids, affecting the financial stability of electrical utilities and the overall management of resources. In this thesis, we present a novel load ... -
DETECTION AND COLLECTION OF WASTE USING A PARTIALLY SUBMERGED AQUATIC ROBOT
(06-2 , Master Thesis)With the amount of waste being dispersed into oceans on the rise, mitigating this issue has become a global concern. In the past few decades, governments, scientists, organizations, and individuals have been attempting to ... -
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 ... -
DID I SEE IT BEFORE? RETRIEVING PREVIOUSLY CHECKED CLAIMS OVER TWITTER
(2022 , Master Thesis)With the proliferation of fake news in the last few years, especially during COVID- 19, combating the spread of misinformation has become a social and political urgent need. Fact-checkers and journalists need to identify ... -
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 ... -
Domain Specific Transformers-Based Prioritization of Readmission for Patients in Healthcare
(2024 , Master Thesis)Hospital re-admissions are not only resource-intensive but also a key indicator of healthcare quality. Therefore, there is a critical need to enhance the efficiency of healthcare systems by accurately identifying patients ... -
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 ... -
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 ... -
ENERGY-EFFICIENT USER-EDGE ASSOCIATION AND RESOURCE ALLOCATION IN IOT-BASED HIERARCHICAL FEDERATED LEARNING
(06-2 , Master Thesis)The proliferation of data as part of the Internet of Things (IoT) systems needs to be efficiently utilized while respecting data privacy and scalability. Edge computing is an emerging paradigm that mandates efficient ... -
Enhancing Autonomous Robot Perception Via Slam Coupled With AI-Driven Selective Obstacle Object Detection
(2024 , Master Thesis)Autonomous mobile robots are changing various industries, making them more efficient and adaptable. They are used in critical sectors such as manufacturing, healthcare, logistics, and infrastructure to make operations ... -
Enhancing Knowledge Distillation for Text Summarization
(2024 , Master Thesis)In the realm of natural language processing, recent advancements have been significantly shaped by the development of large pretrained Seq2Seq Transformer models, including BART, PEGASUS, and T5. These models have ... -
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 ... -
Equipment Criticality Classification Using Analytical Hierarchy Method
(2018 , Master Thesis)The overall aim of this project is to use the analytical hierarchy process as new method in the equipment criticality process. The equipment criticality in the industrial sector is very essential part in the prioritizing ... -
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 ... -
EXPERIMENTAL INVESTIGATION OF THE PERFORMANCE OF TRANSFORMER-BASED PREDICTION MODELS FOR REMAINING USEFUL LIFE
(2023 , Master Thesis)Remaining Useful Life (RUL) prediction is an essential task in predictive maintenance. This study aims to improve the performance of deep learning models for predicting the RUL of turbojet engines using the C-MAPSS dataset. ... -
EXPLORING CONFIDENTIALITY AND PRIVACY OF IMAGE IN CLOUD COMPUTING
(2017 , Master Thesis)With the increasing popularity of cloud computing, clients are storing their data in cloud servers and are using “software as a service” for computing services. However, clients’ data may be sensitive, critical, and private, ... -
Features Ranking Techniques for Single Nucleotide Polymorphism Data
(2017 , Master Thesis)Identifying biomarkers like single nucleotide polymorphisms (SNPs) is an important topic in biomedical applications. Such SNPs can be associated with an individual’s metabolism of drugs, which make these SNPs targets for ... -
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 ...