Zobrazeno 1 - 10
of 985
pro vyhledávání: '"Rizwan Khan"'
Autor:
Muhammad Aslam Rajput, Owais Iqbal, Rehana Naz Syed, Heba H. Elsalahy, Nasir Ahmed Rajput, Sagheer Ahmad, Rizwan Khan, Muhammad Ali Khanzada, Muhammad Usama Younas, Muhammad Qasim, Humaira Rizwana, Khalid S. Almaary, Rashid Iqbal, Abdul Mubeen Lodhi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Sugarcane smut is the most damaging disease that is present almost across the globe, causing mild to severe yield losses depending upon the cultivar types, pathogen races and climatic conditions. Cultivation of smut-resistant cultivars is th
Externí odkaz:
https://doaj.org/article/ad0cd2bc502c46f6b17c8ffcf800328f
Publikováno v:
Journal of Medical Case Reports, Vol 18, Iss 1, Pp 1-5 (2024)
Abstract Background Wandering spleen (or ectopic spleen) refers to a hyper-mobile spleen resulting in its displacement from the normal anatomical position to usually in the lower abdominal or pelvic cavity. While ultrasound is often the first radiolo
Externí odkaz:
https://doaj.org/article/993282c79d1346f3a372590a0d7e66ec
Autor:
Maria Sadia, Izaz Ahmad, Shaukat Aziz, Rizwan Khan, Muhammad Zahoor, Riaz Ullah, Essam A. Ali
Publikováno v:
ACS Omega, Vol 9, Iss 6, Pp 6815-6827 (2024)
Externí odkaz:
https://doaj.org/article/be2e5cdb83d647fbab47f9cd3094f583
Publikováno v:
IEEE Access, Vol 12, Pp 90552-90560 (2024)
With the expansion in recent power systems, the boost in renewable energy resources with multiple interconnections, overloading of existing power networks, increased load growth, and equipment failures, power system transient instability issues have
Externí odkaz:
https://doaj.org/article/d7c9b4352a47481d841d90fa4f4f2be6
Autor:
Farzia, Sadia Rehman, Muhammad Ikram, Adnan Khan, Rizwan Khan, Mutasem Omar Sinnokrot, Momin Khan, Abdullah F. AlAsmari, Fawaz Alasmari, Metab Alharbi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The synthesis of N′-[(4-hydroxy-3-methoxyphenyl)methylidene] 2-aminobenzohydrazide (H-AHMB) was performed by condensing O-vanillin with 2-aminobenzohydrazide and was characterized by FTIR, high resolution ESI(+) mass spectral analysis, 1H
Externí odkaz:
https://doaj.org/article/b5f4164bb88045278d828fcf6379f6f2
Publikováno v:
IEEE Access, Vol 12, Pp 29824-29836 (2024)
This study addresses the Weighted Multi-Skill Resource Constrained Project Scheduling Problem (W-MSRCSPSP) with the aim of minimizing software project makespan. Unlike previous works, our investigation regards heterogeneous resources characterized by
Externí odkaz:
https://doaj.org/article/cffaf7b1bcc54474a022ac767e699043
Autor:
Owais Iqbal, Rehana Naz Syed, Nasir Ahmed Rajput, Yi Wang, Abdul Mubeen Lodhi, Rizwan Khan, Sauban Musa Jibril, Muhammad Atiq, Chengyun Li
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
Fusarium oxysporum f. sp. capsici (Foc) poses a significant position in agriculture that has a negative impact on chili plant in terms of growth, fruit quality, and yield. Biological control is one of the promising strategies to control this pathogen
Externí odkaz:
https://doaj.org/article/6bb66ed3af204798a8aa892aaf307035
Publikováno v:
Results in Engineering, Vol 21, Iss , Pp 101873- (2024)
The mobile Internet business is rapidly developing, leading to a demand for higher data service rates. To address this, massive Multiple-Input Multiple-Output (MIMO) technology has gained widespread attention due to its ability to fully exploit spati
Externí odkaz:
https://doaj.org/article/bcee6931c96647a8bc2e96e94a3ca471
Autor:
Muhammad Sultan Zia, Usman Ali Baig, Zaka Ur Rehman, Muhammad Yaqub, Shahzad Ahmed, Yudong Zhang, Shuihua Wang, Rizwan Khan
Publikováno v:
IET Image Processing, Vol 17, Iss 12, Pp 3371-3391 (2023)
Abstract Automatic brain tumour segmentation in MRI scans aims to separate the brain tumour's endoscopic core, edema, non‐enhancing tumour core, peritumoral edema, and enhancing tumour core from three‐dimensional MR voxels. Due to the wide range
Externí odkaz:
https://doaj.org/article/9e805cad93cd42bda299c7f9594c4ed2
Autor:
Farah Shahid, Atif Mehmood, Rizwan Khan, Ahmad AL Smadi, Muhammad Yaqub, Mutasem K. Alsmadi, Zhonglong Zheng
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 10, Pp 101816- (2023)
Various supervised machine-learning algorithms for wind power forecasting have been developed in recent years to manage wind power fluctuations and effectively correlate to energy consumption; Meanwhile, the performance of the model does suffer from
Externí odkaz:
https://doaj.org/article/e3dac85c0aa7424a9fc02d392efab8a9