MT Alshurideh, BY Obeidat, V Victoria… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
With increase in the use of social networks, we also need the increase in the security of those networks. Making the connection secure is critical and the priority now a day so that …
M Saleem, A Khadim, M Fatima… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
As the world's population and development increase, the demand for motor-vehicles increases, adversely impacting the environment and smart cities by increasing traffic …
NA Al-Dmour, M Salahat, HKG Nair… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
Skin cancer is a widespread and fatal disease in developing countries nowadays. Hence initial phase medication is possible. Skin cancer arose due to the aberrant expansion of skin …
Deep learning is a sub-branch of artificial intelligence that acquires knowledge by training a neural network. It has many applications in the field of banking, automobile industry …
There are different kinds of insurances, but the most saturated is the medical (life) insurance domain. As a vast population invests in health insurance, it is hard to keep track of trends …
Y Wang, L Liu, C Wang - Frontiers in Neuroscience, 2023 - frontiersin.org
In the domain of using DL-based methods in medical and healthcare prediction systems, the utilization of state-of-the-art deep learning (DL) methodologies assumes paramount …
M Saleem, MS Khan, GF Issa, A Khadim… - … for Technology and …, 2023 - ieeexplore.ieee.org
In recent years, the concept of smart spaces and occupancy detection is crucial for creating more efficient and sustainable buildings that prioritize both energy efficiency and occupant …
A Akram, S Abbas, M Khan, A Athar… - … , Materials & Continua, 2024 - researchgate.net
Energy management is an inspiring domain in developing of renewable energy sources. However, the growth of decentralized energy production is revealing an increased …
A Athar, RN Asif, M Saleem, S Munir… - … for Technology and …, 2023 - ieeexplore.ieee.org
The method outlined in this paper employs transfer learning and adversarial training to enhance the precision of pneumonia identification in chest X-rays. The authors use the …