Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Nitasha Khan"'
Autor:
Nitasha Khan, Zeeshan Shahid, Muhammad Mansoor Alam, Aznida Abu Bakar Sajak, Mobeen Nazar, Mohd Suud Mazliham
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 6, Pp 941-958 (2024)
Abstract Electricity theft (ET), which endangers public safety, interferes with the regular operation of grid infrastructure, and increases revenue losses, is a significant issue for power companies. To find ET, numerous machine learning, deep learni
Externí odkaz:
https://doaj.org/article/ac8be067eff1475f8dd04fea4ed77c3f
Autor:
Hasnain Iftikhar, Nitasha Khan, Muhammad Amir Raza, Ghulam Abbas, Murad Khan, Mouloud Aoudia, Ezzeddine Touti, Ahmed Emara
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Nowadays, electricity theft is a major issue in many countries and poses a significant financial loss for global power utilities. Conventional Electricity Theft Detection (ETD) models face challenges such as the curse of dimensionality and highly imb
Externí odkaz:
https://doaj.org/article/1ae7a1e9e9b9418d8f43016d309c3cf8
Autor:
Nitasha Khan, Muhammad Amir Raza, Nayyar Hussain Mirjat, Neelam Balouch, Ghulam Abbas, Amr Yousef, Ezzeddine Touti
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Externí odkaz:
https://doaj.org/article/623e1eb16d574f88a70bdd1dd96b7fa3
Autor:
Nitasha Khan, Muhammad Amir Raza, Nayyar Hussain Mirjat, Neelam Balouch, Ghulam Abbas, Amr Yousef, Ezzeddine Touti
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2024)
In today's modern era, chronic kidney disease stands as a significantly grave ailment that detrimentally impacts human life. This issue is progressively escalating in both developed and developing nations. Precise and timely identification of chronic
Externí odkaz:
https://doaj.org/article/488bbd174ac1463ba272e600f6ca0ba7
Autor:
Nitasha Khan, Muhammad Amir Raza, Darakhshan Ara, Sohrab Mirsaeidi, Aamir Ali, Ghulam Abbas, Muhammad Shahid, Ezzeddine Touti, Amr Yousef, Mounir Bouzguenda
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
Electricity theft (ET), which endangers public safety, creates a problem with the regular operation of grid infrastructure and increases revenue losses. Numerous machine learning, deep learning, and mathematical-based algorithms are available to find
Externí odkaz:
https://doaj.org/article/4600eebcd9854621bdfbd97e5dd49cbb
Publikováno v:
Engineering Proceedings, Vol 46, Iss 1, p 11 (2023)
This research paper explores the relationship between different functionalities of aircraft and investigates the impact of increased air travel on carbon dioxide, nitrous oxide, water vapor, and hydrocarbon emissions. These emissions contribute to bo
Externí odkaz:
https://doaj.org/article/89383760a33d4ce3bc15444a7bc92ae8
Autor:
Nitasha Khan, Zeeshan Shahid, Muhammad Mansoor Alam, Aznida Abu Bakar Sajak, M. S. Mazliham, Talha Ahmed Khan, Syed Safdar Ali Rizvi
Publikováno v:
International Transactions on Electrical Energy Systems, Vol 2022 (2022)
The integration of widely fluctuating distributed generation (such as photovoltaic panels, wind power, electric vehicles, and energy storage systems) puts the stability of power technologies and distribution structures in jeopardy. However, the funda
Externí odkaz:
https://doaj.org/article/a5ee40c317ed46f4b82d28bc80532e63
Electromyography based Gesture Recognition: An Implementation of Hand Gesture Analysis Using Sensors
Autor:
Talha Khan, null Shaheer Ahmed, null Syed Safdar Ali Rizvi, null Sadique Ahmad, null Nitasha Khan
Publikováno v:
Sir Syed University Research Journal of Engineering & Technology. 12:70-77
Motion sign-based language has an important role in the mute community, that is for data transmission. Usually, silent and dumb people counter very difficult situations to convey information to normal people. This paper proposes research that can eas
Publikováno v:
Journal of Physics: Conference Series. 1874:012012
Internet of Things (IoT) is an idea and theory of connecting billions of devices and enable them to exchange a massive amount of information. Green IoT visualize the theory of IoT with improved energy efficiency. The overview of Green IoT and the cha