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The article presents the main functionalities and outcomes of the SCOUTER project, which is developed by UTI GRUP in partnership with the “Politehnica” University of Bucharest and co-funded by the Romanian R&D National Framework. SCOUTER is built as an offline processing application module for coping with multiple instance objects retrieval task from video surveillance footage (e.g., searching...
The article addresses the issue of retrieving distinctive regions of interest or patterns (DROP) in video surveillance datasets. DROP may include logos, tattoos, color regions or any other distinctive features that appear recorded on video. These data come in particular with specific difficulties such as low image quality, multiple image perspectives, variable lighting conditions and lack of enough...
To manage the inventory efficiently, it is necessary to have accurate forecasting. To extract and deploy the knowledge associated with forecasting attracts the attention of both academic and practitioners. Knowledge is regarded as a valuable asset for enterprises and it can be manipulated through intelligence techniques like artificial neural networks (ANN). ANN has the special ability to learn facts...
Mobile commerce (M-commerce) and radio frequency identification (RFID) are two major industries which everyone recognizes their contribution at the overall world economy. In order to have an integrated information system, the purpose of this paper is to integrate RFID technology with M-commerce so as to promote products and unique cross-selling to consumers, which can transform a traditional retail...
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