The aim of this project is to evaluate non-marketed ecosystem services that arise in Hungarian agriculture when producing market outputs by implementing and calibrating the Biome-BGCMuSo 4.0 ecosystem model adapted to the Hungarian setting (AgroMo), and by developing econometric models for evaluating the impact of rural development support schemes in facilitating the provision of environmental […]

The aim of the study is to examine the opportunities for adaptation to climate change in rural fisheries communities. Rural Indigenous fisher populations in particular have been identified as being uniquely sensitive to the effects of climate change, reflecting their often-close relationship to the environment and their dependence on natural resources for their livelihoods, culture, […]

La recherche proposée vise à améliorer le rendement des PME fromagères québécoises. Des modèles de pilotage et de valorisation des données d’exploitation seront développés pour la prise de décisions basés sur des données probantes en temps réel. Cette recherche permettra de développer un modèle d’exploitation des fromageries, commun et optimisé, qui inclura l’identification de différents […]

The goal of this project that will be conducted in collaboration with Heyday is to create a technology that uses a given messaging platform (e.g. Facebook Messenger, web chat widget) that allows users to communicate easily and smoothly with their preferred brands or retailers. This technology should allow the automation of answers and interaction between […]

À partir de l’année 2021, le Québec sera considéré comme une « société âgée ». Le vieillissement à domicile devient une solution adaptée. Dans de nombreux pays d’Europe, cette solution donne de bons résultats, avec une meilleure qualité de vie aux personnes âgées et coûte moins cher. En 2000, la Commission Clair avait aussi recommandé […]

We propose development and validation of novel mathematical tools which can be used for information processing for object and/or model identification and detection within decision support systems (DSS) in various decision frameworks such as situation assessment and analysis, genetic modeling and analysis, medical imaging, etc. The project will have two main novel contributions: (1) introducing […]

Les sédiments de sept lacs de la péninsule de Fildes, située dans les Îles Shetland du Sud en Antarctique seront analysés afin de savoir si les activités humaines sur la péninsule ont eu un effet sur le milieu aquatique. Les diatomées, des microalgues unicellulaires, serviront d’indicateur pour déceler les changements dans le milieu puisque celles-ci […]

La fabrication de pièces aérospatiales présente plusieurs défis importants, dont ceux du délai et du coût de réalisation. Dans le contexte économique d’aujourd’hui, `bien faire du premier coup` est impératif pour maintenir la compétitivité des entreprises. La recherche de l’efficience est alimentée par diverses opportunités provenant de technologies émergentes telles que l’assemblage par métrologie 3D, […]

The purpose of this project is to investigate self-adaptive forecasting and anomaly prediction algorithms based on deep neural networks (DNNs). DNNs present a compelling technology due to their wide-spread availability through open-source projects (e.g. TensorFlow, MXNet). However, usability of DNNs in scenarios outside of image, speech or text pattern recognition is mostly unproven. This project […]

Given the complex issues related to the Indian health care systems, the need for excellent nursing training and quality of care, the objectives of the proposed internship are to explore the contribution of simulation training to provide optimal oncology nursing care at the Prince Aly Khan Hospital (PAKH), Mumbai. The research activities will include : […]

Networks are moving towards being adaptive. This means that automation will be used to replace processes which are today highly manual. This project proposes a development of knowledge in the area of algorithms required to enable adaptive networks. The project will train two PhD students to understand optical networks and devise optimization algorithms in the […]

The project is about removing noise from video signals, for example, those taken by a professional cinema camera. In this project, we propose to develop a commercially capable noise reduction framework based on one of our patents to noise reduction. A commercial noise reduction is required to automatically recognize the type of noise piesent in […]