Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Muhammad, Amir Raza"'
Autor:
Shahjahan Alias Sarang, Muhammad Amir Raza, Madeeha Panhwar, Malhar Khan, Ghulam Abbas, Ezzeddine Touti, Abdullah Altamimi, Andika Aji Wijaya
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract A substantial level of significance has been placed on renewable energy systems, especially photovoltaic (PV) systems, given the urgent global apprehensions regarding climate change and the need to cut carbon emissions. One of the main conce
Externí odkaz:
https://doaj.org/article/73939b567742481ebfcd47533b2fbdc6
Autor:
Muhammad Amir Raza, M. M. Aman, Ghulam Abbas, Shakir Ali Soomro, Amr Yousef, Ezzeddine Touti, Nayyar Hussain Mirjat, Mohammad Huzaifa Ahmed Khan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The potential of solid waste as an energy source is clear, owing to its wide availability and renewable properties, which provide a critical answer for energy security. This can be especially effective in reducing the environmental impact of
Externí odkaz:
https://doaj.org/article/854d55f945df4f9b9430a28f8b4445a9
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:
Abdul Karim, Muhammad Amir Raza, Yahya Z. Alharthi, Ghulam Abbas, Salwa Othmen, Md. Shouquat Hossain, Afroza Nahar, Paolo Mercorelli
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 9, p 382 (2024)
Intelligent transportation systems (ITSs) derive significant advantages from advanced models like YOLOv8, which excel in predicting traffic incidents in dynamic urban environments. Roboflow plays a crucial role in organizing and preparing image data
Externí odkaz:
https://doaj.org/article/8afc6007e2014361b964def875f831f0
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:
Malhar Khan, Muhammad Amir Raza, Ghulam Abbas, Salwa Othmen, Amr Yousef, Touqeer Ahmed Jumani
Publikováno v:
Frontiers in Built Environment, Vol 9 (2024)
Autonomous vehicles can transform the transportation sector by offering a safer and more effective means of travel. However, the success of self-driving cars depends on their ability to navigate complex road conditions, including the detection of pot
Externí odkaz:
https://doaj.org/article/19ae3d3dab6949ae8692f6e46345bcf0
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:
Muhammad Amir Raza, M. M. Aman, Abdul Ghani Abro, Muhammad Shahid, Darakhshan Ara, Tufail Ahmed Waseer, Mohsin Ali Tunio, Nadeem Ahmed Tunio, Shakir Ali Soomro, Touqeer Ahmed Jumani
Publikováno v:
AIMS Energy, Vol 10, Iss 2, Pp 239-255 (2023)
The Government of Pakistan has established clean energy transition goals in the national Alternative and Renewable Energy (ARE) Policy. The goal of this policy is to increase the 30% capacity of green energy in total energy mix by 2030. In this regar
Externí odkaz:
https://doaj.org/article/a15fe7a8e5a84a6ea3d09027948cea42
Autor:
Muhammad Amir Raza, M. M. Aman, Abdul Ghani Abro, Muhammad Shahid, Darakhshan Ara, Tufail Ahmed Waseer, Mohsin Ali Tunio, Shakir Ali Soomro, Nadeem Ahmed Tunio, Raza Haider
Publikováno v:
AIMS Energy, Vol 11, Iss 2, Pp 256-270 (2023)
Due to the recent climate change, organizations all over the globe are developing plans for reducing carbon emissions by developing clean energy technologies and energy efficient devices. However, the path for transition to green energy system is sti
Externí odkaz:
https://doaj.org/article/360dfb7e74ab407d8c108b80f3ddd50a
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