Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Salah Bouktif"'
Autor:
Medha Mohan Ambali Parambil, Luqman Ali, Muhammed Swavaf, Salah Bouktif, Munkhjargal Gochoo, Hamad Aljassmi, Fady Alnajjar
Publikováno v:
IEEE Access, Vol 12, Pp 109427-109442 (2024)
The You Only Look Once (YOLO) series, renowned for its efficiency and versatility in object detection, has become a fundamental component in diverse fields ranging from autonomous vehicles to robotics and video surveillance. Despite its widespread ap
Externí odkaz:
https://doaj.org/article/4c48c1f5123848afa93b181c97429d51
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 13, Iss 1, p 15 (2024)
To enhance the level of autonomy in driving, it is crucial to ensure optimal execution of critical maneuvers in all situations. However, numerous accidents involving autonomous vehicles (AVs) developed by major automobile manufacturers in recent year
Externí odkaz:
https://doaj.org/article/8186af79c84a418893a40949710d76cf
Publikováno v:
IEEE Access, Vol 8, Pp 72757-72767 (2020)
Managing a dynamic traffic system is a challenging task in vehicular environments. Clarity of vehicular data for efficient decision making is vital in Intelligent Transportation Systems (ITS). Huge volumes of vehicular data are collected and processe
Externí odkaz:
https://doaj.org/article/5b2682b6a55342bda99649e9c8a05fd3
Publikováno v:
IEEE Access, Vol 8, Pp 40269-40282 (2020)
Due to its dynamics, non-linearity and complexity nature, stock market is inherently difficult to predict. One of the attractive objectives is to predict stock market movement direction by using public sentiments analysis. However, there is an active
Externí odkaz:
https://doaj.org/article/87f86d3f962d457a982098d27cd67f67
Publikováno v:
Energies, Vol 15, Iss 5, p 1741 (2022)
There are two primary ways to save energy within a building: (1) through improving building engineering structures and adopting efficient appliance ownership, and (2) through changing occupants’ energy-consuming behaviors. Unfortunately the second
Externí odkaz:
https://doaj.org/article/64163cc450964a6b9292ae76e2bf9e99
Publikováno v:
Sensors, Vol 21, Iss 7, p 2302 (2021)
Recent research works on intelligent traffic signal control (TSC) have been mainly focused on leveraging deep reinforcement learning (DRL) due to its proven capability and performance. DRL-based traffic signal control frameworks belong to either disc
Externí odkaz:
https://doaj.org/article/59001efee2474721b816b4040517fbf1
Publikováno v:
Energies, Vol 13, Iss 2, p 391 (2020)
Short term electric load forecasting plays a crucial role for utility companies, as it allows for the efficient operation and management of power grid networks, optimal balancing between production and demand, as well as reduced production costs. As
Externí odkaz:
https://doaj.org/article/1469d492a45c415c8614de55b90b85f7
Publikováno v:
ACM Transactions on Internet Technology. 22:1-31
Web service composition allows developers to create applications via reusing available services that are interoperable to each other. The process of selecting relevant Web services for a composite service satisfying the developer requirements is comm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66829837b5414b01cec25d8472db3023
https://doi.org/10.1145/3446388
https://doi.org/10.1145/3446388
Publikováno v:
Energies, Vol 12, Iss 1, p 149 (2019)
Time series analysis using long short term memory (LSTM) deep learning is a very attractive strategy to achieve accurate electric load forecasting. Although it outperforms most machine learning approaches, the LSTM forecasting model still reveals a l
Externí odkaz:
https://doaj.org/article/713d4388c99b4285973b0e37af7c44f9
Publikováno v:
Knowledge-Based Systems. 267:110440
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b1e2ada86ee243475564a93e08b9ffe
https://doi.org/10.1016/j.knosys.2023.110440
https://doi.org/10.1016/j.knosys.2023.110440