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  • Open Access

    ARTICLE

    Driving Pattern Profiling and Classification Using Deep Learning

    Meenakshi Malik1, Rainu Nandal1, Surjeet Dalal2, Vivek Jalglan3, Dac-Nhuong Le4,5,*

    Intelligent Automation & Soft Computing, Vol.28, No.3, pp. 887-906, 2021, DOI:10.32604/iasc.2021.016272

    Abstract The last several decades have witnessed an exponential growth in the means of transport globally, shrinking geographical distances and connecting the world. The automotive industry has grown by leaps and bounds, with millions of new vehicles being sold annually, be it for personal commuting or for public or commodity transport. However, millions of motor vehicles on the roads also mean an equal number of drivers with varying levels of skill and adherence to safety regulations. Very little has been done in the way of exploring and profiling driving patterns and vehicular usage using real world data. This paper focuses on… More >

  • Open Access

    ARTICLE

    Roman Urdu News Headline Classification Empowered with Machine Learning

    Rizwan Ali Naqvi1, Muhammad Adnan Khan2, *, Nauman Malik2, Shazia Saqib2, Tahir Alyas2, Dildar Hussain3

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1221-1236, 2020, DOI:10.32604/cmc.2020.011686

    Abstract Roman Urdu has been used for text messaging over the Internet for years especially in Indo-Pak Subcontinent. Persons from the subcontinent may speak the same Urdu language but they might be using different scripts for writing. The communication using the Roman characters, which are used in the script of Urdu language on social media, is now considered the most typical standard of communication in an Indian landmass that makes it an expensive information supply. English Text classification is a solved problem but there have been only a few efforts to examine the rich information supply of Roman Urdu in the… More >

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