Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Ali Shemshadi"'
Publikováno v:
IEEE Transactions on Big Data. 7:327-340
Ridesharing is a challenging topic in the urban computing paradigm, which utilizes urban sensors to generate a wealth of benefits and thus is an important branch in ubiquitous computing. Traditionally, ridesharing is achieved by mainly considering th
Publikováno v:
Computing. 102:2025-2048
Flight delay is a significant problem that negatively impacts the aviation industry and costs billion of dollars each year. Most existing studies investigated this issue using various methods based on historical data. However, due to the highly dynam
Autor:
Schahram Dustdar, Xianzhi Wang, Quan Z. Sheng, Boualem Benatallah, Lina Yao, Ali Shemshadi, Salil S. Kanhere
Publikováno v:
Computing. 100:369-385
Over the past few years, activity recognition techniques have attracted unprecedented attentions. Along with the recent prevalence of pervasive e-Health in various applications such as smart homes, automatic activity recognition is being implemented
Publikováno v:
Personal and Ubiquitous Computing. 21:1097-1112
The Internet of Things (IoT), in general, is a compelling paradigm that aims to connect everyday objects to the Internet. Nowadays, IoT is considered as one of the main technologies which contribute towards reshaping our daily lives in the next decad
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811516986
AusDM
AusDM
The value of customers for any business cannot be over-emphasised, and it is crucial for companies to develop a good understanding of their customer base. One of the most important pieces of information is to estimate the share of wallet for each ind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f19764e01e00dd05cd6d7b33203f2d65
https://doi.org/10.1007/978-981-15-1699-3_14
https://doi.org/10.1007/978-981-15-1699-3_14
Publikováno v:
Knowledge-Based Systems. 109:256-265
Graph matching is important for a wide variety of applications in different domains such as social network analysis and knowledge discovery. Despite extensive research over the last few decades, graph matching is still challenging particularly when i
Knowledge Bases (KBs) are widely used as one of the fundamental components in Semantic Web applications as they provide facts and relationships that can be automatically understood by machines. Curated knowledge bases usually use Resource Description
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4de2d3e4fb358315a1efdfb13e67ad0c
https://eprints.hud.ac.uk/id/eprint/34184/1/toit_new.pdf
https://eprints.hud.ac.uk/id/eprint/34184/1/toit_new.pdf
Publikováno v:
Managing the Web of Things
Web of Things (WoT) is becoming increasingly interesting for researchers and professionals over the past few years. It provides numerous opportunities by disseminating the data that is generated by physical things and fills the gap between the physic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::309f622e455adb16f93646b962f64c94
https://doi.org/10.1016/b978-0-12-809764-9.00003-2
https://doi.org/10.1016/b978-0-12-809764-9.00003-2
Autor:
Fabrizio Amarilli, Francesco Amigoni, Claudio Anliker, Muhammad Ali Babar, Reem Bahgat, Boualem Benatallah, Jean-Marie Bonnin, Kayla M. Booth, Ahmed Bouabdallah, Hongming Cai, Adriana Caione, Philippe Capdepuy, Muhammad Aufeef Chauhan, Charalampos Chelmis, Suparna De, Elizabeth V. Eikey, Saad El Jaouhari, Alessandro Fiore, Maria Grazia Fugini, Ilias Gerostathopoulos, Amelie Gyrard, Jean-Paul Jamont, El-Mehdi Khalfi, Sherif Khattab, Nicolas Le Sommer, Xue Li, Luca Mainetti, Luigi Manco, Lionel Médini, Klaus Moessner, Michael Mrissa, Anne H.H. Ngu, Michel Occello, Pankesh Patel, Viktor K. Prasanna, Christian Prehofer, Yongrui Qin, Muhammad Rizwan Saeed, Corinna Schmitt, Martin Serrano, Ali Shemshadi, Quan Z. Sheng, Burkhard Stiller, Mehdi Terdjimi, Lionel Touseau, Eileen M. Trauth, Athanasios V. Vasilakos, Roberto Vergallo, Xianzhi Wang, Lina Yao, Mina Younan, Gian Piero Zarri, Yuchao Zhou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::faa0b720ef521c7ae3a3a0f3bcfe3da2
https://doi.org/10.1016/b978-0-12-809764-9.00024-x
https://doi.org/10.1016/b978-0-12-809764-9.00024-x
Publikováno v:
SIGIR
The rapidly growing paradigm of the Internet of Things (IoT) requires new search engines, which can crawl heterogeneous data sources and search in highly dynamic contexts. Existing search engines cannot meet these requirements as they are designed fo