Search Results - "Mihaylova, Lyudmila S."

Traffic Estimation for Large Urban Road Network with High Missing Data Ratio by Offor, Kennedy John, Vaci, Lubos, Mihaylova, Lyudmila S

“…Intelligent transportation systems require the knowledge of current and forecasted traffic states for effective control of road networks. The actual traffic…”
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Analysis of Air Pollution in Urban Areas with Airviro Dispersion Model—A Case Study in the City of Sheffield, United Kingdom by Munir, Said, Mayfield, Martin, Coca, Daniel, Mihaylova, Lyudmila S, Osammor, Ogo

“…Two air pollutants, oxides of nitrogen (NOx) and particulate matter (PM10), are monitored and modelled employing Airviro air quality dispersion modelling…”
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A Nonlinear Land Use Regression Approach for Modelling NO2 Concentrations in Urban Areas—Using Data from Low-Cost Sensors and Diffusion Tubes by Munir, Said, Mayfield, Martin, Coca, Daniel, Mihaylova, Lyudmila S

“…Land Use Regression (LUR) based on multiple linear regression model is one of the techniques used most frequently for modelling the spatial variability of air…”
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Autonomous Flame Detection in Videos With a Dirichlet Process Gaussian Mixture Color Model by Li, Zhenglin, Mihaylova, Lyudmila S., Isupova, Olga, Rossi, Lucile

“…This paper proposes a flame detection framework based on the color, dynamics, and flickering properties of flames. The distribution of flame colors is modeled…”
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A Deep Learning Method with Cross Dropout Focal Loss Function for Imbalanced Semantic Segmentation by Su, Jingxuan, Anderson, Sean, Mihaylova, Lyudmila S.

“…Deep learning methods have proven their potential in semantic segmentation. However, they depend on the data quality and training process. Often, the data…”
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Vision-based Runway Detection and Landing for Unmanned Aerial Vehicle Enhanced Autonomy by Tsapparellas, Kyriacos, Jelev, Nickolay, Waters, Jonathon, Brunswicker, Sabine, Mihaylova, Lyudmila S

“…Introducing autonomy is a task of paramount importance and is currently investigated in many areas, especially for autonomous cars and Unmanned Aerial Vehicles…”
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An Adaptive CUSUM Approach for Automating Sleep Apnoea Analysis Based on Pulse and Oximetry Data by Yang, Dongjin, Bhargava, Eishaan, Elphick, Heather, Mihaylova, Lyudmila S.

“…Sleep apnoea is a common sleep disorder during human sleep. It is usually diagnosed by a doctor after recording one nights' sleep signals. Patients have to go…”
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Gaussian Processes for RSS Fingerprints Construction in Indoor Localization by Zhao, Yuxin, Liu, Chao, Mihaylova, Lyudmila S, Gunnarsson, Fredrik

“…Location-based applications attract more and more attention in recent years. Examples of such applications include commercial advertisements, social networking…”
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Estimation of joint angle based on surface electromyogram signals recorded at different load levels by Azab, Ahmed M., Arvanch, Mahanz, Mihaylova, Lyudmila S.

“…To control upper-limb exoskeletons and prostheses, surface electromyogram (sEMG) is widely used for estimation of joint angles. However, the variations in the…”
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Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography by Cooray, Navin, Li, Zhenglin, Wang, Jinzhuo, Lo, Christine, Arvaneh, Mahnaz, Symmonds, Mkael, Hu, Michele, De Vos, Maarten, Mihaylova, Lyudmila S

“…Numerous sleep disorders are characterised by movement during sleep, these include rapid-eye movement sleep behaviour disorder (RBD) and periodic limb movement…”
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A Dirichlet Process Mixture Model for Autonomous Sleep Apnea Detection using Oxygen Saturation Data by Li, Zhenglin, Arvaneh, Mahnaz, Elphick, Heather E., Kingshott, Ruth N., Mihaylova, Lyudmila S.

“…Sleep apnea is a sleep disorder which is common in many children and adults. It is characterised by abnormal breath pauses or shallow breathing during sleep…”
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A Subject-to-subject Transfer Learning Framework Based on Jensen-Shannon Divergence for Improving Brain-computer Interface by Giles, Joshua, Ang, Kai Keng, Mihaylova, Lyudmila S., Arvaneh, Mahnaz

“…One of the major limitations of current electroencephalogram (EEG)-based brain-computer interfaces (BCIs) is the long calibration time. Due to a high level of…”
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A Novel Three Dimensional Probability-based Classifier for Improving Motor Imagery-based BCI by Ashley, Adrian L., Arvaneh, Mahnaz, Mihaylova, Lyudmila S.

“…Objective: Motor imagery BCI based assistive robotics solution has the potential to empower the upper mobility independence of a disabled person. The objective…”
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Weighted Multi-task Learning in Classification Domain for Improving Brain-Computer Interface by Arvaneh, Mahnaz, Mihaylova, Lyudmila, Azab, Ahmed M.

“…One of the major limitations of brain computer interface (BCI) is its long calibration time. Due to between sessions/subjects nonstationarity, typically a big…”
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PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection by Zhang, Tianhao, Chen, Zhixiang, Mihaylova, Lyudmila S

“…Vision Transformers (ViTs) have achieved remarkable success over various vision tasks, yet their robustness against data distribution shifts and inherent…”
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MorphoSeg: An Uncertainty-Aware Deep Learning Method for Biomedical Segmentation of Complex Cellular Morphologies by Zhang, Tianhao, McCourty, Heather J, Sanchez-Tafolla, Berardo M, Nikolaev, Anton, Mihaylova, Lyudmila S

“…Deep learning has revolutionized medical and biological imaging, particularly in segmentation tasks. However, segmenting biological cells remains challenging…”
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3, 2, 1, Drones Go! A Testbed to Take off UAV Swarm Intelligence for Distributed Sensing by Qin, Chuhao, Candan, Fethi, Mihaylova, Lyudmila S, Pournaras, Evangelos

“…This paper introduces a testbed to study distributed sensing problems of Unmanned Aerial Vehicles (UAVs) exhibiting swarm intelligence. Several Smart City…”
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A Comparative Study of Velocity Obstacle Approaches for Multi-Agent Systems by Douthwaite, James A., Zhao, Shiyu, Mihaylova, Lyudmila S.

“…This paper presents a critical analysis of some of the most promising approaches aimed at geometrically generating reactive avoidance trajectories for…”
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Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography by Cooray, Navin, Li, Zhenglin, Wang, Jinzhuo, Lo, Christine, Arvaneh, Mahnaz, Symmonds, Mkael, Hu, Michele, De Vos, Maarten, Mihaylova, Lyudmila S

“…2022 25th International Conference on Information Fusion (FUSION), Link\"oping, Sweden, 2022, pp. 01-08 Numerous sleep disorders are characterised by movement…”
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An interval approach to multiple unmanned aerial vehicle collision avoidance by Douthwaite, James A., De Freitas, Allan, Mihaylova, Lyudmila S.

“…Small/micro Unmanned Aerial Systems (UAVs) require the ability to operate with constraints of a diverse, automated airspace where obstacle telemetry is denied…”
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