There is no memorandum project overview associated with this application.
Read More
There is no memorandum project overview associated with this application.
Read More
There is no memorandum project overview associated with this application.
Read More
There is no memorandum project overview associated with this application.
Read More
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 […]
Read More
There is no memorandum project overview associated with this application.
Read More
There is no memorandum project overview associated with this application.
Read More
There is no memorandum project overview associated with this application.
Read More
There is no memorandum project overview associated with this application.
Read More
There is no memorandum project overview associated with this application.
Read More
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 […]
Read More
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 […]
Read More
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 […]
Read More