In this paper, we address the challenge of document image analysis for historical index table documents with handwritten records. Demographic studies can gain insight from the use of automatic document analysis in such documents through the study of population movements. To evaluate the efficacy of automatic layout analysis tools, we release the PA...
In this paper, the potential of a super-resolution technique is presented in the context of coastal wave forecasting. The method uses a neural network to predict a high-resolution spatial estimation of spectral wave parameters from a lower resolution numerical computation. In this particular example, one year of training data is sufficient to achie...
In this thesis we aim to research and design different neural models for session recommendation. We investigate the fundamental neural models for session recommendation, namely BERT4Rec, SASRec and GRU4Rec and subsequently use our findings to design a simpler but performant neural model.
Firstly, we address methodological errors made in the trainin...
Insects that spread diseases like malaria, chikungunya and Lyme diseaseare found all over the world because of climate change, economic fluctuations,human migration, and international trade. In this study, we propose DeepSquitoes,a mobile system framework for insect identification and fast data dissemination,with the goal of improving the managemen...
The oil and gas sector is the second largest anthropogenic emitter of methane, which is responsible for at least 25% of current global warming. To curb methane's contribution to climate change, emissions behavior from oil and gas infrastructure must be determined by an automated monitoring across the globe. This requires, as first step, an efficien...
Water distribution networks (WDNs) provide drinking water to urban and rural consumers through a network of pipes that transport water from reservoirs to junctions. Water utilities rely on tools such as EPANET to simulate and analyse the performance of water distribution networks (WDNs). EPANET solves the flow continuity and headloss equations thro...
Camera-LiDAR extrinsic calibration is a critical task for multi-sensor fusion in autonomous systems, such as self-driving vehicles and mobile robots. Traditional techniques often require manual intervention or specific environments, making them labour-intensive and error-prone. Existing deep learning-based self-calibration methods focus on small re...
L'essor de l'Internet des Objets, des modèles de stockage et de traitement des données a conduit à une explosion de la quantité et de la complexité des données que nous collectons aujourd'hui. Pour mieux les comprendre et les manipuler, les experts ont recours à des visualisations de l'information. Cependant, la complexité nouvelle des données rend...
One of the classical solutions to maintain the aircraft structural integrity is to rely on the analysis of non-destructive testing (NDT) inspector with various inspection methods. However, it is relatively expensive in matter of time and costs to train human resources until the certification is reached. Further, in majority of the cases of aircraft...
This paper investigates different machine learning tools for sorting out damage from healthy apples based on mm-Wave measurements. Previous work showedthat we can successfully detect damaged apples with a nonlinear SVM (Support Vector Machine) algorithm in case of frequency and spatial diversity. Here we try to get rid of the frequency dependence a...
