Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Omair Shafiq"'
Publikováno v:
IEEE Access, Vol 10, Pp 98127-98139 (2022)
Travel Time Prediction (TTP) has become an essential service that people use in daily commutes. With the precise TTP, individuals, logistic companies, and transport authorities can better manage their activities and operations. This paper presents a
Externí odkaz:
https://doaj.org/article/568ff327269d41619762371dedb81d42
Publikováno v:
IEEE Access, Vol 10, Pp 23687-23699 (2022)
A smart contract is known to be useful for automating business processes triggered by specific events caused by IoT sensors, data feeds, or other applications. A blockchain-based smart contract management system is an innovative technology that is fo
Externí odkaz:
https://doaj.org/article/86fdf3cec074450d9bf5ceb94033d16a
Traffic Flow Management of Autonomous Vehicles Using Deep Reinforcement Learning and Smart Rerouting
Publikováno v:
IEEE Access, Vol 9, Pp 51005-51019 (2021)
Autonomous Vehicles (AVs) promise to disrupt the traditional systems of transportation. An autonomous driving environment requires an uninterrupted, continuous stream of data and information based on complex traffic data sets and predictive measureme
Externí odkaz:
https://doaj.org/article/0e3e7a4525ef42c7831c007918184ca4
Publikováno v:
Sensors, Vol 22, Iss 9, p 3348 (2022)
With the advent of the Internet of Things (IoT), it has become possible to have a variety of data sets generated through numerous types of sensors deployed across large urban areas, thus empowering the notion of smart cities. In smart cities, various
Externí odkaz:
https://doaj.org/article/e6afc5dbc381454d84fc1f633d49b836
Publikováno v:
IEEE Access, Vol 6, Pp 38251-38272 (2018)
Indoor localization has garnered the attention of researchers over the past two decades due to diverse and numerous applications. The existing works either provide room-level or latitude-longitude prediction instead of a hybrid solution, catering onl
Externí odkaz:
https://doaj.org/article/e7746af4067f40af83745a0a465d0b82
Autor:
Hongzhi Zhang, M. Omair Shafiq
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-45 (2024)
Abstract The transformer model is a famous natural language processing model proposed by Google in 2017. Now, with the extensive development of deep learning, many natural language processing tasks can be solved by deep learning methods. After the BE
Externí odkaz:
https://doaj.org/article/a7c25dbc491442819f7f3a5da906c3f5
Autor:
Archika Sharma, M. Omair Shafiq
Publikováno v:
Applied Artificial Intelligence, Vol 36, Iss 1 (2022)
Predictive analytics is being increasingly used to predict various aspects of applications and users. It offers vast opportunities in the growth of the modern era’s business transformation by enabling automated decision-making processes. Being able
Externí odkaz:
https://doaj.org/article/8781d044366647b5bb260f50d42cd2b9
Autor:
Md. Riyadh, M. Omair Shafiq
Publikováno v:
Applied Artificial Intelligence, Vol 36, Iss 1 (2022)
Performing sentiment analysis with high accuracy using machine-learning techniques requires a large quantity of training data. However, getting access to such a large quantity of labeled data for specific domains can be expensive and time-consuming.
Externí odkaz:
https://doaj.org/article/e0af4d86a4744d5eb57757736d8ed3ac
Publikováno v:
Applied Artificial Intelligence, Vol 35, Iss 9, Pp 623-641 (2021)
Scene recognition is used in many computer vision and related applications, including information retrieval, robotics, real-time monitoring, and event-classification. Due to the complex nature of the task of scene recognition, it has been greatly imp
Externí odkaz:
https://doaj.org/article/f72f1060ae8445e3be8329f57dccbe94
Publikováno v:
Future Generation Computer Systems. 145:104-120