Pneumonia is a life-threatening lung infection resulting from several different viral infections.
Identifying and treating pneumonia on chest X-ray images can be difficult due to its similarity …

This paper presents a system for medical image diagnosis that uses transfer learning (TL)
and feature selection techniques. The main aim of TL on pre-trained models such as …

This study is based on temperature prediction in the capital of India (New Delhi). We have
adopted different ML models such as (MPR and DNN) which are designed and implemented …

Doctors' ability to diagnose and treat patients will be facilitated by the Internet of Medical
Things (IoMT), which can connect a variety of medical imaging devices to medical data …

Planning the daily routines of human life depends heavily on the weather. Knowing the
weather ahead of time substantially aids in better planning for aviation, agriculture, tourism …

This article presents, we describe fully autonomous brain tumor classifying as well as the
classification method depending on a multiscale DCNN Deep-Convolutional-Neural …

The digital images can easily be manipulated using Software tool or mobile application
these days. Dispersal of forgery images in social media is one of the prime threats and it has …

Cognitive information systems create a new class of intelligent systems focused on semantic
data analysis tasks. Such systems are based on cognitive resonance processes, which use …

Object detection and semantic segmentation are pivotal components in biomedical image
analysis. Current single-task networks exhibit promising outcomes in both detection and …

Abstract Machine learning techniques, especially deep learning, are playing an increasingly
important role in our lives. Deep learning uses different models to extract information from …