Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Rana Hammad Raza"'
Publikováno v:
Future Internet, Vol 16, Iss 3, p 83 (2024)
Surveillance video analytics encounters unprecedented challenges in 5G and IoT environments, including complex intra-class variations, short-term and long-term temporal dynamics, and variable video quality. This study introduces Edge-Enhanced TempoFu
Externí odkaz:
https://doaj.org/article/04079420c64a46aab75984f9509edbf1
Autor:
Muhammad Umair Arif, Muhammad Umar Farooq, Rana Hammad Raza, Zain Ul Abideen Lodhi, Muhammad Abdur Rehman Hashmi
Publikováno v:
IEEE Access, Vol 10, Pp 104863-104886 (2022)
Design of a vision-based traffic analytic system for urban traffic video scenes has a great potential in context of Intelligent Transportation System (ITS). It offers useful traffic-related insights at much lower costs compared to their conventional
Externí odkaz:
https://doaj.org/article/bf0992505097424b838e9b10d7974031
Autor:
Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza, Fayez Hussain Alqahtani, Amr Tolba, Feng Xia
Publikováno v:
PeerJ Computer Science, Vol 8, p e1117 (2022)
Smart surveillance is a difficult task that is gaining popularity due to its direct link to human safety. Today, many indoor and outdoor surveillance systems are in use at public places and smart cities. Because these systems are expensive to deploy,
Externí odkaz:
https://doaj.org/article/bb861f78311741a788092d32f8a9a859
Publikováno v:
Fire Technology. 59:581-594
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16eaf0b930e8c6a5c020eae019f5c267
https://doi.org/10.1007/s10694-022-01352-w
https://doi.org/10.1007/s10694-022-01352-w
Publikováno v:
Neural Computing and Applications. 35:4145-4182
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71e9f331542246efe4f22abd12cfb416
https://doi.org/10.1007/s00521-022-07937-4
https://doi.org/10.1007/s00521-022-07937-4
Publikováno v:
Journal of Electrical Engineering & Technology. 18:561-578
This paper presents some novel methods to estimate a vessel’s number of shafts, course, speed and classify it using the underwater acoustic noise it generates. A classification framework as well as a set of reference parameters for comparison are p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42803db177e0858d4a131a0236f9951d
https://doi.org/10.1007/s42835-022-01167-3
https://doi.org/10.1007/s42835-022-01167-3
Publikováno v:
2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25037f814dc0327b12533f1e520ed55c
https://doi.org/10.1109/icomet57998.2023.10099250
https://doi.org/10.1109/icomet57998.2023.10099250
Publikováno v:
Multimedia Tools and Applications. 80:18693-18716
Anomalous activity recognition deals with identifying the patterns and events that vary from the normal stream. In a surveillance paradigm, these events range from abuse to fighting and road accidents to snatching, etc. Due to the sparse occurrence o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1595ae541af7bf8523571aaf2f63f0aa
https://doi.org/10.1007/s11042-021-10570-3
https://doi.org/10.1007/s11042-021-10570-3
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811681288
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1aacf4228d2ea5d181d3a0a15c775589
https://doi.org/10.1007/978-981-16-8129-5_138
https://doi.org/10.1007/978-981-16-8129-5_138
Publikováno v:
Digital Interaction and Machine Intelligence ISBN: 9783031114311
Humans are able to perceive objects only in the visible spectrum range which limits the perception abilities in poor weather or low illumination conditions. The limitations are usually handled through technological advancements in thermographic imagi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53497874c14b2c2e8ea86c714b992e25
https://doi.org/10.1007/978-3-031-11432-8_7
https://doi.org/10.1007/978-3-031-11432-8_7