نتایج جستجو برای: opportunity recognition
تعداد نتایج: 338198 فیلتر نتایج به سال:
This panel discussion was a follow-up to the first edition of the ICFHR series, which was promoted as an international conference after 10 intensive and productive editions of the International Workshop on Frontiers in Handwriting Recognition initiated in 1990 in Montreal. It is essential, however, to recall that research on handwritten character recognition began some 40 years ago, and was exp...
Due to the intensive development of urbanization and digitization, number smart cities in world is growing. Along with their exposure, more challenges are facing service providers various types systems offered area. These services include shared mobility that, as an alternative transport by own vehicle, becoming one leading promoted forms mobility. Because prioritization solutions, operators ap...
Export-manufacturing firms survive and ultimately succeed when they can accumulate, harvest,and utilise foreign knowledge to better marshal the capabilities recognise opportunities. Prior studie...
Objective: The major objectives of the article were to explore effects fear and anxiety Covid-19 business opportunity recognition on start-up self-efficacy, entrepreneurial intention, behaviour, as well test intention-behaviour association. Research Design & Methods: study was performed by means an online survey questionnaire conducted 405 students at a Vietnamese university. developed based pr...
AC Accuracy ADL Activities of daily living AF Average F-measure CNN Convolutional neural network CPU Central processing unit DBN Deep belief network DT Decision tree HA Hand Gesture HAR Human activity recognition KNN K-nearest neighbors LSTM Longand short-term memory MV Means and variance NB Naive Bayes NF Normalized F-measure OAR Opportunity activity recognition RAM Random access memory ReLU R...
Minimum risk estimation and decoding strategies based on lattice segmentation techniques can be used to refine large vocabulary continuous speech recognition systems through the estimation of the parameters of the underlying hidden Mark models and through the identification of smaller recognition tasks which provides the opportunity to incorporate novel modeling and decoding procedures in LVCSR...
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