Image segmentation is a branch of digital image processing which has numerous
applications in the field of analysis of images, augmented reality, machine vision, and many …

Introduction. Artificial intelligence (AI) models have been employed to automate decision‐
making, from commerce to more critical fields directly affecting human lives, including …

Lymph node metastasis in breast cancer may be accurately predicted using a DenseNet-
169 model. However, the current system for identifying metastases in a lymph node is …

Alzheimer's disease (AD) is the leading cause of dementia in older adults. There is currently
a lot of interest in applying machine learning to find out metabolic diseases like Alzheimer's …

Alzheimer's Disease (AD) is a progressive, neurodegenerative brain disease and is an
incurable ailment. No drug exists for AD, but its progression can be delayed if the disorder is …

Chronic diseases are increasing in prevalence and mortality worldwide. Early diagnosis has
therefore become an important research area to enhance patient survival rates. Several …

New Sixth-generation (6G) networks rely heavily on the Intelligence Internet of Things (IIoT)
to store and process data more efficiently. 6G is desired to offer ultra-low latency, high …

Ship detection plays a crucial role in marine security in remote sensing imagery. This paper
discusses about a deep learning approach to detect the ships from satellite imagery. The …

Deep neural networks have made tremendous strides in the categorization of facial photos
in the last several years. Due to the complexity of features, the enormous size of the …

Machine Learning methods can play a key role in predicting the spread of respiratory
infection with the help of predictive analytics. Machine Learning techniques help mine data …