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OpenAlex konusu

Human Mobility and Location-Based Analysis

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 771 eser 34 yazar konusu

Çalışmalar

771 eser

  1. OpenAlex üst %10 OpenAlex 96.3%

    Özet henüz yok.

  2. OpenAlex üst %1 OpenAlex 99.7%

    In recent years, Internet of Things (IoT) concept has become a promising research topic in many areas including industry, commerce and education. Smart cities employ IoT based services and applications to create a sustainable urban life. By using information and communication technologies, IoT enables smart cities to…

  3. YÖKSİS SJR Q3 JCR Q3 OpenAlex üst %1 OpenAlex 99.6%

    The recent development of big data analytics (BDA) and the Internet of Things (IoT) technologies create a huge opportunity for both disaster management systems and disaster-related authorities (emergency responders, police, public health, and fire departments) to acquire state-of-the-art assistance and improved insigh…

  4. YÖKSİS SJR Q4 JCR Q4 OpenAlex üst %1 OpenAlex 99.6%

    The recent development of big data analytics (BDA) and the Internet of Things (IoT) technologies create a huge opportunity for both disaster management systems and disaster-related authorities (emergency responders, police, public health, and fire departments) to acquire state-of-the-art assistance and improved insigh…

  5. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.3%

    Abstract Technology has indispensably been a part of the city evolution throughout history. In recent years, there has been a shift in the pattern of development in smart cities, where smart cities attempt to embrace practices of sustainability using Information and Communication Technologies and other smart solutions…

  6. OpenAlex üst %10 OpenAlex 95.1%

    Human Activity Recognition(HAR) is classifying activity of a person using responsive sensors that are affected from human movement. Both users and capabilities(sensors) of smartphones increase and users usually carry their smartphone with them. These facts makes HAR more important and popular. This work focuses on rec…

  7. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %10 OpenAlex 98.7%

    Significant efforts are being performed to make cities smarter and more sustainable. Therefore, there is a need to compare these efforts using evaluation frameworks. According to the literature review, the basic dimensions of smart cities are generally evaluated with the criteria of regional competitiveness, transport…

  8. OpenAlex üst %10 OpenAlex 93.1%

    The real world human activity datasets are of great importance in development of novel machine learning methods for automatic recognition of human activities in smart environments. In this study, we present the details of ARAS (Activity Recogni- tion with Ambient Sensing) human activity recognit

  9. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.6%

    With the prevalence of Intelligent Transportation Systems (ITS), massive sensors are deployed on roadside, vehicles, and infrastructures. One key challenge is imputing several different types of missing entries in spatial-temporal traffic data to meet the high-quality demand of data science applied in Cooperative-ITS…

  10. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.6%

    With the prevalence of Intelligent Transportation Systems (ITS), massive sensors are deployed on roadside, vehicles, and infrastructures. One key challenge is imputing several different types of missing entries in spatial-temporal traffic data to meet the high-quality demand of data science applied in Cooperative-ITS…

  11. OpenAlex üst %10 OpenAlex 98.4%

    Smart phones equipped with a rich set of sensors are explored as alternative platforms for human activity recognition in the ubiquitous computing domain. However, there exist challenges that should be tackled before the successful acceptance of such systems by the masses. In this paper, we particularly focus on the ch…

  12. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.2%

    Özet henüz yok.

Akademisyenler

34 akademisyen