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Truck dock assignment with sequential stops in continuous demand process
(2019)
The purpose of this study is to develop a practical solution to a truck dock assignment problem specific to manufacturing industry inbound articles reception. In this article a variant of Branch-and-Bound algorithm was ...
Weakly supervised learning for retinal lesion detection
(2019)
Diabetic retinopathy (DR), a complication of long-term diabetes, is a common cause of visual impairment. Accurate detection of the lesions in retinal images is crucial for its opportune prevention in clinical practice. ...
Plankton recognition from imaging flow cytometer data using convolutional neural networks
(2018)
Research on plankton populations is bottlenecked by the ability to obtain species-level information within a required time frame. Recent technological advances in imaging hardware have made it possible to obtain large ...
Visual regression of clinical parameters from retinal images
(2019)
Retinal image features, especially related to the blood vessels, have been proposed as early indicators of various retinal and systemic diseases. Monitoring the features over time can provide insight into the progression ...
Wind shear detection from Doppler weather radar data
(2019)
Intensive wind shear phenomena, such as downbursts and gust fronts, pose a hazard to aviation, and issuing local forecasts of them could improve safety and decrease costs. In this thesis, a methodology for detecting and ...
Identification of customer profiles from electricity consumption data
(2018)
The electric power suppliers are interested in identifying and categorising their consumers’ profiles into different categories according to their energy consumption habits. The profiling of users can help with understanding ...
Unsupervised anomaly detection from wooden boards using autoencoders
(2019)
For wood processing in the sawmill industry, quality of the raw material in every step affects the production efficiency. Defects in the sawn timber, such as wane, knots, cracks, watermarks, fungal damage, insect defects, ...
Visualising deep grading of diabetic retinopathy
(2019)
Diabetic retinopathy is a medical condition that occurs when fluctuating levels of blood sugar damage the blood vessels of the retina. Presence of vascular abnormalities in the retinal images indicate the presence of ...
Forest stand parameter estimation by using neural networks
(2019)
Wood is a vital material used everywhere. And it is very important to monitor the state of forests. One of the most common ways to estimate different forest parameters is to make the model based on the data obtained by ...
Clustering electricity consumption data to identify optimal electricity contracts
(2020)
This thesis is aimed to study development of electricity consumption trends, cluster historical consumption time series and aim to determine optimal price contract for both individual clusters and customers.
First main ...