For every sector, managing supply chains is a difficult task, but the healthcare sector faces
risks and complication since a disrupted supply chain could have a direct impact on patient …

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 …

As the world's population and development increase, the demand for motor-vehicles
increases, adversely impacting the environment and smart cities by increasing traffic …

Skin cancer is a widespread and fatal disease in develo** 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 …

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 …

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 …

Energy management is an inspiring domain in develo** of renewable energy sources.
However, the growth of decentralized energy production is revealing an increased …

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 …