Effective decarbonisation is key to ensuring the temperature rise does not exceed the 2° C
set by the Paris accords. Adsorption is identified as a key technology for post-combustion …

Abstract Machine and deep learning techniques are prevalent in the medical discipline due
to their high level of accuracy in disease diagnosis. One such disease is malaria caused by …

Without a proper mechanism to track and authenticate drugs, both stakeholder and
consumer experience dilemmas. The dilemmas arise between stakeholders and consumers …

In the domain of artificial neural networks, the learning process represents one of the most
challenging tasks. Since the classification accuracy highly depends on the weights and …

In this article, the concept of cryptographic algorithms is used as an efficient access control
mechanism for Internet of Medical Things-based health care system. The algorithms, such …

Although it is widely assumed that Artificial Intelligence (AI) will revolutionise healthcare in
the near future, considerable progress must yet be made in order to gain the trust of …

Appendicitis is a condition wherein the appendix becomes inflamed, and it can be difficult to
diagnose accurately. The type of appendicitis can also be hard to determine, leading to …

The current methods of classifying plant disease images are mainly affected by the training
phase and the characteristics of the target dataset. Collecting plant samples during different …

Breast cancer (BC) was the most common malignant tumor in women, and breast infiltrating
ductal carcinoma (IDC) accounted for about 80% of all BC cases. BC patients who had bone …

With the development and maturity of machine learning methods, medical diagnosis aided
with machine learning methods has become a popular method to assist doctors in …