Abstract This paper presents a machine learning-based classifier for detecting points of interest through the combined use images and text from social networks. model exploits transfer learning capabilities neural network architecture CLIP (Contrastive Language-Image Pre-Training) in multimodal environments using image text. Different methodologies based on information are explored geolocation ...

Hi-Tech/Software Technology parks are being developed in many countries to create an efficient work environment for knowledge based industrial development. Major aim of these technology is attract foreign companies set up operations and transfer the indigenous technological capability development local industries. The this find out factors that influence park a suitable strategic framework succ...

A Monte Carlo experiment is used to examine the size and power properties of alternative Bayesian tests for unit roots. Four different prior distributions for the root that is potentially unity – a uniform prior and priors attributable to Jeffreys, Lubrano, and Berger and Yang – are used in conjunction with two testing procedures: a credible interval test and a Bayes factor test. Two extensions...

This paper investigates the trending of performance parameters for aircraft engine condition monitoring. Vibration data is often an indicator of sudden changes in the state of an aircraft engine. Performance parameters, which include pressure and temperature data, usually track slower changes in engine condition. The aim of this paper is to determine precursors to engine events through performa...

Once every five minutes, Twitter publishes a list of trending topics by monitoring and analyzing tweets from its users. Similarly, Google makes available hourly a list of hot queries that have been issued to the search engine. We claim that social trends fired by Twitter may help explain and predict web trends derived from Google. Indeed, we argue that information flooding nearly real-time acro...