Lung cancer, the deadliest disease worldwide, poses a massive threat to humankind.
Various researchers have designed Computer-Aided-Diagnosis systems for the early-stage …

Abstract In a conventional Computer-Aided Detection (CAD) system, complexity is seen in
the classification procedure of Lung Nodule Detection (LND). Lower classification accuracy …

The extractive summarization approach involves selecting the source document's salient
sentences to build a summary. One of the most important aspects of extractive …

This study introduces CCNETS (Causal Learning with Causal Cooperative Nets), a novel
generative model-based classifier designed to tackle the challenge of generating data for …

Cancer detection is one of the key research topics in the medical field. Accurate detection of
different cancer types is valuable in providing better treatment facilities and risk minimization …

A lot of research has been done to aim to find out what makes someone laugh in a text. In
recent years, detecting humor in written sentences has shown to be a fascinating and …

This paper is an extension of work initially presented in the conference name [1]. The origin
of jokes has gotten much attention from many researchers in recent years. To detect humor …

This study introduces causal learning with causal cooperative nets (CCNETS), a novel
generative model-based classifier designed to address the challenge of generating data for …