Zobrazeno 1 - 10
of 660
pro vyhledávání: '"Dharma P. Agrawal"'
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
Externí odkaz:
https://doaj.org/article/743055c5623647939ee0c05e767bb1bd
Publikováno v:
Information, Vol 12, Iss 1, p 6 (2020)
Human activity recognition (HAR) is a classification task that involves predicting the movement of a person based on sensor data. As we can see, there has been a huge growth and development of smartphones over the last 10–15 years—they could be u
Externí odkaz:
https://doaj.org/article/0a927eae40f746858fb9ce8de02f0cf7
Autor:
Rupendra Nath Mitra, Dharma P. Agrawal
Publikováno v:
ICT Express, Vol 1, Iss 3, Pp 132-137 (2015)
All new 5G mobile technology is expected to be operational by 2020. This time, it is therefore crucial to know the direction of research and developments enabling 5G technology. This paper provides an inclusive and comprehensive analysis of recent de
Externí odkaz:
https://doaj.org/article/f32d426c95f4464b91acd37647f61dac
Autor:
Zachary W. Lamb, Dharma P. Agrawal
Publikováno v:
Sensors, Vol 19, Iss 6, p 1303 (2019)
Vehicular ad-hoc Networks (VANETs) are an integral part of intelligent transportation systems (ITS) that facilitate communications between vehicles and the internet. More recently, VANET communications research has strayed from the antiquated DSRC st
Externí odkaz:
https://doaj.org/article/cabf1ba9fffa4681ab6d6acce814604b
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 7, Iss 4, p 46 (2018)
With the emergence of Internet of Things (IoT), the research on Smart Cities with wireless sensor networks (WSNs) got leveraged due to similarities between objectives in both Smart City and IoT. Along with them, research in controlling WSN faces new
Externí odkaz:
https://doaj.org/article/00c4cc411aad4590b9d7fb8e479a6506
Autor:
Neha Jain, Dharma P. Agrawal
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 1, Iss 1, Pp 101-122 (2005)
Externí odkaz:
https://doaj.org/article/bbd2a29d68db4788ab17f5d35a10c557
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:19575-19577
Intelligence and sustainability are two essential drivers for the development of current and future Intelligent Transportation Systems. On one hand, the complexity of vehicular ecosystems and the inherently risk-prone circumstances under which pedest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6110b8aa9ad6182397460a2594da2d7
https://doi.org/10.1109/tits.2022.3208785
https://doi.org/10.1109/tits.2022.3208785
Publikováno v:
Neural Computing and Applications. 35:13709-13710
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::740145e7204691cd8f4682651917728c
https://doi.org/10.1007/s00521-023-08625-7
https://doi.org/10.1007/s00521-023-08625-7
Publikováno v:
Enterprise Information Systems. 16:403-405
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b8b4c8a963204494e2172fc6264a665
https://doi.org/10.1080/17517575.2021.1923066
https://doi.org/10.1080/17517575.2021.1923066
Publikováno v:
Annals of Robotics and Automation. 4:001-006
Big data is currently a huge industry that has grown significantly every year. Big data is being used by machine learning and deep learning algorithm to study, analyze and parse big data and then drive useful and beneficial results. However, most of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62bd666340527cda97600d6d3a55d326
https://doi.org/10.17352/ara.000002
https://doi.org/10.17352/ara.000002