Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Abdullah Alfarrarjeh"'
Publikováno v:
Water Supply, Vol 22, Iss 1, Pp 1131-1140 (2022)
We present a use case of anomaly detection for identifying the unusual water consumption of consumers. Unusual water consumption may be due to a faulty water meter, fraudulent tampering with a water meter, or a leak in the water pipes within the cons
Externí odkaz:
https://doaj.org/article/3b4639ca60bb4309b2bb74b9a652e6c4
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783031234910
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2af6fa2fe1b821d4abb7df1a1f32db26
https://doi.org/10.1007/978-3-031-23492-7_36
https://doi.org/10.1007/978-3-031-23492-7_36
Publikováno v:
Water Supply. 22:1131-1140
We present a use case of anomaly detection for identifying the unusual water consumption of consumers. Unusual water consumption may be due to a faulty water meter, fraudulent tampering with a water meter, or a leak in the water pipes within the cons
Publikováno v:
MIPR
Urban street images have a unique property as they capture visual scenes that are distinctive to their geo-graphical regions. Such images are similar to their neighboring ones while dissimilar to faraway images. We refer to this characteristic of ima
Autor:
Hyunjae Cho, Seon Ho Kim, George Constantinou, Cyrus Shahabi, Onur Orhan, Abdullah Alfarrarjeh, Roopal Kondepudi
Publikováno v:
ICDE
With the availability of massive amounts of visual data covering wide geographical regions, various image learning applications have emerged, including classifying the street cleanliness level, detecting forest fires or road hazards. Such application
Autor:
Seon Ho Kim, Chinmayee Siddaramaiah, Jungwon Yoon, Abdullah Alfarrarjeh, Amani Abu Jabal, Akarsh Nagaraj
Publikováno v:
MultiMedia Modeling ISBN: 9783030678340
MMM (2)
MMM (2)
This paper presents a prototype of an interactive video search tool for the preparation of MMM 2021 Video Browser Showdown (VBS). Our tool is tailored to enable searching for the public V3C1 dataset associated with various analysis results including
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a0aa6e1002b190f9ac8d90354a09b7c
https://doi.org/10.1007/978-3-030-67835-7_43
https://doi.org/10.1007/978-3-030-67835-7_43
Publikováno v:
IEEE BigData
For efficient road maintenance, an automated monitoring system is required to avoid laboriously and time-consuming manual inspection by road administration crews. One potential solution is to utilize image processing-based technologies, especially, a
Autor:
Abdullah Alfarrarjeh, Akshansh, Siva Ravada, Seon Ho Kim, Qingyun Xie, Cyrus Shahabi, Vinuta Hegde
Publikováno v:
ICDE
Due to the prevalence of GPS-equipped cameras (e.g., smartphones and surveillance cameras), massive amounts of geo-tagged images capturing urban streets are increasingly being collected. Consequently, many smart city applications have emerged, relyin
Publikováno v:
MultiMedia Modeling ISBN: 9783030377304
MMM (1)
MMM (1)
Unmanned aerial vehicles (UAVs) such as drones are becoming significantly prevalent in both daily life (e.g., event coverage, tourism) and critical situations (e.g., disaster management, military operations), generating an unprecedented number of aer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b8c831b88f1630bf61d358821677e26
https://doi.org/10.1007/978-3-030-37731-1_30
https://doi.org/10.1007/978-3-030-37731-1_30
Publikováno v:
MultiMedia Modeling ISBN: 9783030377335
MMM (2)
MMM (2)
Drones are becoming popular in different domains, from personal to professional usages. Drones are usually equipped with high-resolution cameras in addition to various sensors (e.g., GPS, accelerometers, and gyroscopes). Therefore, aerial images capt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::358a6c061ca04b77a8a76aece1e949bf
https://doi.org/10.1007/978-3-030-37734-2_59
https://doi.org/10.1007/978-3-030-37734-2_59