Automated and accurate classification of MR brain images is of importance for the analysis
and interpretation of these images and many methods have been proposed. In this paper, we …

As an emerging biomedical image processing technology, medical image segmentation
has made great contributions to sustainable medical care. Now it has become an important …

Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally
by Kennedy and Eberhart in 1995. It is now one of the most commonly used optimization …

Integrating artificial intelligence with food category recognition has been a field of interest
for research for the past few decades. It is potentially one of the next steps in revolutionizing …

Stable performance of maize (Zea mays L.) hybrids in multi‐environment trials (MET) is
important. The objectives of this investigation were (i) to evaluate grain yield stability of 13 …

This paper proposes a global multi-level thresholding method for image segmentation. As a
criterion for this, the traditional method uses the Shannon entropy, originated from …

Diallel mating designs provide to breeders useful genetic information, such as general
combining ability (GCA) and specific combining ability (SCA), to help them devise appropriate …

Integrating Internet of Things (IoT) technologies in the healthcare industry represents a
transformative shift with tangible benefits. This paper provides a detailed examination of IoT …

The paper proposed an improved bacterial chemotaxis optimization (IBCO), which is then
integrated into the back propagation (BP) artificial neural network to develop an efficient …

(Aim) COVID-19 pandemic causes numerous death tolls till now. Chest CT is an effective
imaging sensor system to make accurate diagnosis. (Method) This article proposed a novel …