The study of this theoretical problem enables sparse or dense functional data, including
educational information evaluation data. The choice of different weights is subjected to …

Deep learning is gaining importance due to its wide range of applications. Many researchers
have utilized deep learning (DL) models for the automated diagnosis of cancer patients. This …

Cancer is still one of the most life threatening disease and by far it is still difficult to prevent,
prone to recurrence and metastasis and high in mortality. Lots of studies indicate that early …

Pneumonia is a serious disease caused by a lung infection that affects young and old
people and approximately cause of 4 million deaths each year. Patients that are facing …

Background and Aim: deep learning has not been successfully implemented in liver tumour
feature extraction and classification using computer-aided diagnosis. This study aims to …

The COVID-19 pandemic spread all over the world, starting in China in late 2019, and
significantly affected life in all aspects. As seen in SARS, MERS, COVID-19 outbreaks …

Lung cancer is the uncontrolled growth of abnormal cells in one or both lungs. This is one of
the dangerous diseases. A lot of feature extraction with classification methods were …

Identifying and locating diseases in chest X-rays are very challenging, due to the low visual
contrast between normal and abnormal regions, and distortions caused by other …

Lung cancer is increasing day by day. According to the report published by WHO in 2017,
number of death people due to lung cancer in Bangladesh reached 12,075 or 1.53% of total …

In this paper, to solve the problem of slow design of arts and crafts and to improve design
efficiency and aesthetics, the existing big data and 3D technology are used to conduct an in …