There is no memorandum project overview associated with this application.
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There is no memorandum project overview associated with this application.
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The purpose of this project is to develop an original model for evaluating TOBFG’s suppliers on the basis of environmental, social, and/or economic criteria. TOBFG has several initiatives to implement its corporate social responsibility (CSR) strategy. The research will focus on helping TOBFG align its CSR strategy with its supply chain management practices, particularly as […]
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There is no memorandum project overview associated with this application.
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There is no memorandum project overview associated with this application.
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There is no memorandum project overview associated with this application.
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There is no memorandum project overview associated with this application.
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There is no memorandum project overview associated with this application.
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The agriculture industry is a labour intensive industry. Using a reliable method of plant monitoring can greatly help farmers to reduce their labours and consequently their production costs. Creating an accurate 3-D model of each plant or vegetable provides farmers with more information about the growth stage of the plant which helps them to make […]
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Search is an important way people get the information they want. Whether we want to find more content about a specific topic, or get general information on a subject, search engines lie at the core of this process. At Flipp, search plays a crucial role in the overall user experience and drives relevant content to […]
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In this research, we propose a model learning documents to fixed-length embedding vector space. This is meaningful, because in vector space, we can find similar documents or measure the relations between documents by simple linear algebra calculation. One of state-of-the-art methods is to apply deep Convolutional Neural Network on language sequences and thus learn different […]
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The proposed research project aims to increase the accuracy of a model used to predict future glucose levels 1 hour ahead of time, with ~90% accuracy. This model should be able to detect, ahead of time, situations where the blood-glucose level is either too high or too low which could lead to complications for the […]
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ROSS Intelligence enables legal professionals to find analyze legal issues and find hidden information and cuts down on research time by using artificial intelligence specialized in legal research. Recent advances in neural networks applied to natural language processing have brought results that are close to human performance in some tasks. However, this approach is still […]
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