Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Ikramullah Khosa"'
Autor:
Abida Kousar, Jameel Ahmad, Khalid Ijaz, Amr Yousef, Zaffar Ahmed Shaikh, Ikramullah Khosa, Durga Chavali, Mohd Anjum
Publikováno v:
IEEE Access, Vol 12, Pp 106631-106644 (2024)
The rapid advancement of computer technology and the widespread adoption of online social media platforms have inadvertently provided fertile ground for individuals with antisocial inclinations to thrive, ushering in a range of security concerns, inc
Externí odkaz:
https://doaj.org/article/41f3ac6d531b4af2b8994da308793e8c
Autor:
Gulnaz Perveen, Syed Farooq Ali, Jameel Ahmad, Sana Shahab, Muhammad Adnan, Mohd Anjum, Ikramullah Khosa
Publikováno v:
IEEE Access, Vol 11, Pp 118474-118489 (2023)
Micro-expression recognition has gained much attention in research communities. Among its proposed solutions, deep learning approaches have shown promising results over the past few years. In this paper, we propose a multi-stream deep convolution neu
Externí odkaz:
https://doaj.org/article/85a3ebf287be4678b69d40ba69dc12e2
Publikováno v:
IEEE Access, Vol 10, Pp 82596-82613 (2022)
An accurate electrical Short-term Load Forecasting (STLF) is an eminent factor in the power generation, electrical load dispatching and energy planning for the power supply companies, specifically in developing countries. This paper proposes a novel
Externí odkaz:
https://doaj.org/article/bdd47e635de745ad8cb5ef5f28feb850
Publikováno v:
Diagnostics, Vol 13, Iss 16, p 2637 (2023)
Lower extremity diabetic foot ulcers (DFUs) are a severe consequence of diabetes mellitus (DM). It has been estimated that people with diabetes have a 15% to 25% lifetime risk of acquiring DFUs which leads to the risk of lower limb amputations up to
Externí odkaz:
https://doaj.org/article/6208fe88743e4653b9db9705990ef682
Publikováno v:
Diagnostics, Vol 13, Iss 3, p 340 (2023)
Diabetes Mellitus, a metabolic disease, causes the body to lose control over blood glucose regulation. With recent advances in self-monitoring systems, a patient can access their personalized glycemic profile and may utilize it for efficient predicti
Externí odkaz:
https://doaj.org/article/8988490aa8ef4438b96190322ec50b40
Autor:
Naveed Taimoor, Ikramullah Khosa, Muhammad Jawad, Jahanzeb Akhtar, Imran Ghous, Muhammad Bilal Qureshi, Ali R. Ansari, Raheel Nawaz
Publikováno v:
IEEE Access, Vol 8, Pp 223271-223286 (2020)
The electric power systems are becoming smart as well as complex with every passing year, especially in response to the changing environmental conditions. Resilience of power generation and transmission infrastructure is important to avoid power outa
Externí odkaz:
https://doaj.org/article/96a3e5ce694a437595fe3c5ba12b5647
Autor:
Rafal Ali, Ikramullah Khosa, Ammar Armghan, Jehangir Arshad, Sajjad Rabbani, Naif Alsharabi, Habib Hamam
Publikováno v:
Energies, Vol 15, Iss 24, p 9292 (2022)
Severe weather conditions not only damage electric power infrastructure, and energy systems, but also affect millions of users, including residential, commercial or industrial consumers. Moreover, power outages due to weather-related natural disaster
Externí odkaz:
https://doaj.org/article/e7bada49fd2e45adb60e3c56b1ae1de8
Publikováno v:
IEEE Access, Vol 7, Pp 61728-61737 (2019)
In this paper, the unscented Kalman filter (UKF) is applied to a particle tracking problem in the high energy physics (HEP) experiments, where the determination of position and momentum associated to a particle with a high level of the desired accura
Externí odkaz:
https://doaj.org/article/3dc0bb15f4b04d47bf16ede25e61e0d6
Autor:
Ikramullah Khosa, Naveed Taimoor, Jahanzeb Akhtar, Khurram Ali, Ateeq Ur Rehman, Mohit Bajaj, Mohamed Elgbaily, Mokhtar Shouran, Salah Kamel
Publikováno v:
Energies, Vol 15, Iss 12, p 4327 (2022)
The electrical power infrastructure of the modern world is advanced, efficient, and robust, yet power outages still occur. In addition to affecting millions of people around the world, these outage events cost billions of dollars to the global econom
Externí odkaz:
https://doaj.org/article/5d1a1d36546e4333bf27552e96fe359d
Autor:
Kashif Shahzad, Muhammad Jawad, Khurram Ali, Jahanzeb Akhtar, Ikramullah Khosa, Mohit Bajaj, Ehab E. Elattar, Salah Kamel
Publikováno v:
Applied Sciences, Vol 12, Iss 10, p 4958 (2022)
This paper presents an interesting hybrid solution to a challenging estimation and control problem of the Permanent Magnet Synchronous Motor (PMSM). Apart from the inherently nonlinear nature of the PMSM, which makes this problem particularly challen
Externí odkaz:
https://doaj.org/article/cf0595b1e17444d89e980053c37ff3c8