The Internet of medical things (IoMT) is a modern technology that is increasingly being used
to provide good healthcare services. As IoMT devices are vulnerable to cyberattacks …

Purpose The paper is to study a review of the employment of deep learning (DL) techniques
inside the healthcare sector, together with the highlight of the strength and shortcomings of …

Diseases impact the rates of production of many agricultural goods. These diseases require
detection, which is difficult to do manually. Therefore, the creation of some automated illness …

Determination of tumor extent is the foremost challenge in the brain tumor treatment
planning and valuation. Among various conventional anatomical imaging techniques for …

The abundance of type and quantity of available data in the healthcare field has led many to
utilize machine learning approaches to keep up with this influx of data. Data pertaining to …

Accepted: 25 May 2021 Deep learning models are playing a vital role in classification goals
that can have propitious results. In the past few years, many models are being used for this …

Breast cancer represents the highest percentage of cancers and the second most common
cancer overall that affect women with 87,090 deaths approximately as reported by ICMR …

The internet is a booming sector for exchanging information because of all the gadgets in
today's world. Attacks on Internet of Things (IoT) devices are alarming as these devices …

Existing cervical cancer detection methods usually screen the samples based on separated
cells. Cell misclassification leads to poor robustness and accuracy, quantitative analysis is …

Affect detection from text has captured the attention of researchers recently. This is due to
the rapid use of social media sites (eg Twitter, Facebook), which allows users to express …