Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Mohammad Tabrez Quasim"'
Autor:
P. Suman Prakash, P. Kiran Rao, E. Suresh Babu, Surbhi Bhatia Khan, Ahlam Almusharraf, Mohammad Tabrez Quasim
Publikováno v:
IEEE Access, Vol 12, Pp 62189-62198 (2024)
Our proposed work, SculptorGAN, represents a novel advancement in the domain of medical imaging, for the accurate and automatic diagnosis of renal tumors, using the techniques and principles of Generative Adversarial Network (GAN). This dichotomous f
Externí odkaz:
https://doaj.org/article/d1713a56152444bfbd575c30ba120f37
Publikováno v:
Engineering, Technology & Applied Science Research, Vol 14, Iss 3 (2024)
The need for Mobile Ad hoc Networks (MANETs) has expanded with the development of mobile computing and wireless sensor network technologies. However, this increase has also led to a rise of the attacks on these networks. In order to ensure high Quali
Externí odkaz:
https://doaj.org/article/50972332612243538329879a3b1e0cf1
Autor:
T. Lakshmi Narayana, C. Venkatesh, Ajmeera Kiran, Chinna Babu J, Adarsh Kumar, Surbhi Bhatia Khan, Ahlam Almusharraf, Mohammad Tabrez Quasim
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28195- (2024)
People who work in dangerous environments include farmers, sailors, travelers, and mining workers. Due to the fact that they must evaluate the changes taking place in their immediate surroundings, they must gather information and data from the real w
Externí odkaz:
https://doaj.org/article/3f364724df344c318aff04d71b111594
Autor:
Mohammad Tabrez Quasim, Khair ul Nisa, Mohammad Zunnun Khan, Mohammad Shahid Husain, Shadab Alam, Mohammed Shuaib, Mohammad Meraj, Monir Abdullah
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-12 (2023)
Abstract Energy theft is a significant problem that needs to be addressed for effective energy management in smart cities. Smart meters are highly utilized in smart cities that help in monitoring the energy utilization level and provide information t
Externí odkaz:
https://doaj.org/article/1aca8fb575804349a3892bfd09457db8
Autor:
Sapna Singh Kshatri, Deepak Singh, Bhavana Narain, Surbhi Bhatia, Mohammad Tabrez Quasim, G. R. Sinha
Publikováno v:
IEEE Access, Vol 9, Pp 67488-67500 (2021)
Ensemble learning method is a collaborative decision-making mechanism that implements to aggregate the predictions of learned classifiers in order to produce new instances. Early analysis has shown that the ensemble classifiers are more reliable than
Externí odkaz:
https://doaj.org/article/f010a7ed56e940238ef13482da7fbcde
Publikováno v:
IEEE Access, Vol 8, Pp 52018-52027 (2020)
Mobile users are increasing exponentially to adopt ubiquitous services offered by various sectors. This has attracted attention for a secure communication framework to access e-health data on mobile devices. The wearable sensor device is attached to
Externí odkaz:
https://doaj.org/article/583b1b34a1f148848f8d82eba44261e0
Autor:
Ali Alqazzaz, Mohammad Tabrez Quasim, Mohammed Mujib Alshahrani, Ibrahim Alrashdi, Mohammad Ayoub Khan
Publikováno v:
Computer Systems Science and Engineering. 46:551-562
Autor:
Mohammad Tabrez Quasim, Mohammad Mufareh Mobarak, Khair Ul Nisa, Mohammad Meraj, Mohammad Zunnun Khan
Publikováno v:
2023 7th International Conference on Trends in Electronics and Informatics (ICOEI).
Autor:
Mohammad Tabrez Quasim, Asadullah Shaikh, Mohammed Shuaib, Adel Sulaiman, Shadab Alam, Yousef Asiri
The smart medical system is becoming a health policy service that employs wearables, online services and mobile devices to connect to the internet continuously and connect patients, technology and healthcare centers, and then cope efficiently and tho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdb5ada4cf3a1b0d05b092eccb49a8a9
https://doi.org/10.21203/rs.3.rs-1504815/v1
https://doi.org/10.21203/rs.3.rs-1504815/v1
Publikováno v:
Computers, Materials & Continua. 72:2811-2824