Faculty of Engineering: Recent submissions
Now showing items 381-400 of 3117
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Digital data integration project between a DSO and a university for sustainability and efficiency
(IEEE, 2022)Digitization in the energy sector enables big data analysis that can lead to large-scale energy efficiency due to the size of the sector and thus getting closer to sustainability targets. With a digital data integration ... -
A mathematical model for equitable in-country COVID-19 vaccine allocation
(Taylor and Francis, 2022)Given the scarcity of COVID-19 vaccines, equitable (fair) allocation of limited vaccines across the main administrative units of a country (e.g. municipalities) has been an important concern for public health authorities ... -
Time travel in Turkish: WordNets for modern Turkish
(European Language Resources Association (ELRA), 2022)Wordnets have been popular tools for providing and representing semantic and lexical relations of languages. They are useful tools for various purposes in NLP studies. Many researches created WordNets for different languages. ... -
A comparison of solutions of two convolution-type unidirectional wave equations
(Taylor and Francis, 2023)In this work, we prove a comparison result for a general class of nonlinear dispersive unidirectional wave equations. The dispersive nature of one-dimensional waves occurs because of a convolution integral in space. For ... -
Patch-wise contrastive style learning for instagram filter removal
(IEEE, 2022)Image-level corruptions and perturbations degrade the performance of CNNs on different downstream vision tasks. Social media filters are one of the most common resources of various corruptions and perturbations for real-world ... -
Continual learning for affective robotics: A proof of concept for wellbeing
(IEEE, 2022)Sustaining real-world human-robot interactions re-quires robots to be sensitive to human behavioural idiosyn-crasies and adapt their perception and behaviour models to cater to these individual preferences. For affective ... -
Deep reinforcement learning approach for trading automation in the stock market
(IEEE, 2022)Deep Reinforcement Learning (DRL) algorithms can scale to previously intractable problems. The automation of profit generation in the stock market is possible using DRL, by combining the financial assets price 'prediction' ... -
Genetic algorithms and heuristics hybridized for software architecture recovery
(Springer, 2023-06-26)Large scale software systems must be decomposed into modular units to reduce maintenance efforts. Software Architecture Recovery (SAR) approaches have been introduced to analyze dependencies among software modules and ... -
Outage performance analysis of vertical underwater VLC links
(IEEE, 2022)In this paper, we investigate the outage performance of vertical stratified underwater optical links in the presence of moderate/strong turbulence conditions. Specifically, we consider the cascaded Gamma-Gamma turbulence ... -
YOLODrone+: improved YOLO architecture for object detection in UAV images
(IEEE, 2022)The performance of object detection algorithms running on images taken from Unmanned Aerial Vehicles (UAVs) remains limited when compared to the object detection algorithms running on ground taken images. Due to its various ... -
Trustworthiness assessment in multimodal human-robot interaction based on cognitive load
(IEEE, 2022)In this study, we extend our robot trust model into a multimodal setting in which the Nao robot leverages audio-visual data to perform a sequential multimodal pattern recalling task while interacting with a human partner ... -
Developing session-based personalized accommodation recommender system by using LSTM
(IEEE, 2022)Tourism sector has been transformed by the advances in the Internet technology. Users can search for information and can select their destination from various alternatives by themselves, which brings the need for personal ... -
Forming robot trust in heterogeneous agents during a multimodal interactive game
(IEEE, 2022)This study presents a robot trust model based on cognitive load that uses multimodal cues in a learning setting to assess the trustworthiness of heterogeneous interaction partners. As a test-bed, we designed an interactive ... -
Using deep compression on PyTorch models for autonomous systems
(IEEE, 2022)Applications of artificial neural networks on low-cost embedded systems and microcontrollers (MCUs), has recently been attracting more attention than ever. Since MCUs have limited memory capacity as well as limited ... -
Drizzle attenuation model for visible and infrared wavelengths
(IEEE, 2022)In an outdoor environment, the transmitted optical signal is affected by the atmospheric particles that may scatter or absorb light such as drizzle, rain, snow, fog, and aerosols. Various earlier studies have attempted to ... -
An experimental study of underwater visible light communication
(IEEE, 2022)Visible light communication (VLC) has emerged as a powerful high-data-rate alternative to conventional underwater acoustic technology for short and medium link distances. In this paper, we develop an experimental underwater ... -
Rate-adaptive streaming of 360-degree videos with head-motion-aware viewport margins
(IEEE, 2022)Efficient use of available bandwidth is vital when streaming 360-degree videos as users rarely have enough bandwidth for a pleasant experience. A promising solution is the combination of viewport-dependent streaming using ... -
Automated adaptive playback for encoder-adjudicated live sports
(IEEE, 2022)In low-latency live streaming, it is not easy to simultaneously avoid stalls and maintain low latency. The trade-off needs to be decided in real time. One of the best tools for controlling the buffer level (hence, the ... -
3D simulation of droplet impact on static and moving walls
(Begell House Inc., 2022)In the present study, the contact angle model and the origin of the parasitic current, precisely, the relation of the parasitic current with grid distribution, have been studied to accurately predict droplet impact on ... -
Automatic detection of attachment style in married couples through conversation analysis
(Springer, 2023-05-31)Analysis of couple interactions using speech processing techniques is an increasingly active multi-disciplinary field that poses challenges such as automatic relationship quality assessment and behavioral coding. Here, we ...
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