From a future perspective and with the current advancements in technology, deep
reinforcement learning (DRL) is set to play an important role in several areas like …

Ethiopia is the largest producer of chickpeas in Africa. Crop production and yield in Ethiopia
is greatly affected by plant diseases which cause loss of agricultural products every year …

Dental caries is one of the oral diseases which are a major health problem for many people
across the globe. It can lead to pain, discomfort, disfigurement, and even death in some …

In medical science, imaging is the most effective diagnostic and therapeutic tool. Almost all
modalities have transitioned to direct digital capture devices, which have emerged as a …

Skin diseases are among the most common diseases that affect millions of lives per year, yet
diagnosing these has several complexities even for trained dermatologists due to …

Current research indicates that for the identification of lung disorders, comprising
pneumonia and COVID-19, structural distortions of bronchi and arteries (BA) should be …

In this paper, we proposed the modified deep learning method that combined Convolutional
Neural Network (CNN) and Kernel K-Means clustering for lung cancer diagnosis. The Anti …

Internet of Things (IoT) deployments face significant security challenges due to the limited
energy and computational power of IoT devices. These challenges are more serious in the …

Deep neural networks have achieved excellent performance in the field of image
classification. However, even to state-of-the-art deep neural networks, there are still many …

Multimodal data fusion in healthcare platforms aligns with the principles of predictive,
preventive, and personalized medicine (3PM) by harnessing the power of diverse data …