Theses - Department of Computer Engineering
Faculty of Engineering
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Resource optimization of multi-purpose IoT wireless sensor networks with shared monitoring points
(Bilkent University, 2022-11)Wireless sensor networks (WSNs) have many applications and are an essential part of IoT systems. The primary functionality of a WSN is to gather data from certain points that are covered with sensor nodes and transmit the ... -
Dynamic voltage/frequency scaling in GPUs through genetic algorithm
(Bilkent University, 2022-09)Dynamic Voltage/Frequency Scaling (DVFS) is the primary approach to optimizing Central Processing Units (CPUs) power consumption. A handful of approaches are conducted using this technique in General Purpose Graphics ... -
Use of subgraph mining in histopathology image classification
(Bilkent University, 2022-09)Breast cancer is the most common cancer in women and has a high mortality rate. Computer vision techniques can be used to help experts to analyze the breast cancer biopsy samples better. Graph neural networks (GNN) have ... -
Multi-label multi-modal classification of movie scenes
(Bilkent University, 2022-09)Promoting movies through their trailers provides valuable information that can help viewers and investors form expectations about the movie’s future success. Recent research confirmed that the audience prefers to watch ... -
Modeling speech transcriptions for automatic assessment of depression severity
(Bilkent University, 2022-09)It is true that everyone has bad days from time to time. Unfortunately, for peo-ple suffering from depression, every day is a constant battle for motivation to do even the simplest of things, all the while dealing with ... -
An ensemble classification model for detecting voice phishing in telecommunication networks and its integration into a visual analysis tool
(Bilkent University, 2022-09)Voice phishing, a method of social engineering fraud performed over phone calls, has been a major problem globally since the use of phones became widespread. Traditional and modern methods to detect these fraud schemes ... -
Deepfake detection through motion magnification inspired feature manipulation
(Bilkent University, 2022-09)Synthetically generated media content poses a significant threat to information security in the online domain. Manipulated videos and images of celebrities, politicians, and ordinary citizens, if aimed at misrepresentation, ... -
Automatic deceit detection through multimodal analysis of speech videos
(Bilkent University, 2022-09)In this study we propose the use of self-attention for spatial representation learning, while explore transformers as the backbone of our speech model for in-ferring apparent deceptive intent based on multimodal analysis ... -
FourierNet: shape-preserving network for henle’s fiber layer segmentation in optical coherence tomography images
(Bilkent University, 2022-09)Henle's fiber layer (HFL), a retinal layer located in the outer retina between the outer nuclear and outer plexiform layers (ONL and OPL, respectively), is composed of uniformly linear photoreceptor axons and Müller cell ... -
Transqlate: translating enriched natural language sentences to SQL queries using transformers
(Bilkent University, 2022-09)A large amount of the structured data owned by different enterprises is typically stored in Relational Database Management Systems, and a decent knowledge of Structured Language Query (SQL) is required to extract desired ... -
Novel algorithms and models for scaling parallel sparse tensor and matrix factorizations
(Bilkent University, 2022-07)Two important and widely-used factorization algorithms, namely CPD-ALS for sparse tensor decomposition and distributed stratified SGD for low-rank matrix factorization, suffer from limited scalability. In CPD-ALS, the ... -
Fast compound graph layout with constraint support
(Bilkent University, 2022-08)Visual analysis of relational data becomes more challenging in today's world as the amount of data increases exponentially. Effective visual display of such data is therefore a key requirement to simplify the analysis ... -
Open-set object recognition
(Bilkent University, 2022-07)Despite significant advances in object recognition and classification over the past couple of decades, there are various situations where collecting representative training samples from all classes in real-world scenarios ... -
Hardware-accelerated direct visualization of unstructured volumetric meshes
(Bilkent University, 2022-07)Computational fluid dynamic simulations often produce large clusters of finite ele-ments with non-trivial, non-convex boundaries and uneven distributions among com-pute nodes, posing challenges to compositing during ... -
Rendering three-dimensional scenes with tetrahedral meshes
(Bilkent University, 2022-07)We propose compact and efficient tetrahedral mesh representations to improve the ray-tracing performance. We reorder tetrahedral mesh data using a space-filling curve to improve cache locality. Most importantly, we propose ... -
Taxonomy of inline code comment smells
(Bilkent University, 2022-07)Code comments play a vital role in source code comprehension and software maintainability. It is common for developers to write comments to explain a code snippet, and commenting code is generally considered as a good ... -
Memory-efficient constrained delaunay tetrahedralization of large three-dimensional triangular meshes
(Bilkent University, 2022-07)We propose a divide-and-conquer algorithm that can solve the Constrained De-launay Tetrahedralization (CDT) problem. It consists of three stages: Input Partitioning, Surface Closure, and Merge. We first partition the input ... -
A comparative study of deep learning architectures for multivariate cloud workload prediction
(Bilkent University, 2022-06)Cloud computing and use of cloud data centers are in high demand due to their benefits to customers including but not limited to low cost, high availability, reliability, robustness and scalability. Cloud service providers ... -
Analyzing the impact of process smells in code review
(Bilkent University, 2022-07)Code review is a valuable modern software development practice for identifying potential problems in changesets and improving source code quality in software projects. Developers adhere to specific rules and best practices ... -
Hardware/software Co-design of domain-specific RISC-V processor for graph applications
(Bilkent University, 2022-05)Graph applications are employed in many fields but show poor performance on general-purpose computing systems due to heavy, irregular, and data-driven memory access patterns. The diverse topology of real-life graphs also ...
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