Although lung cancer has been recognized to be the deadliest type of cancer, a good
prognosis and efficient treatment depend on early detection. Medical practitioners' burden is …

Deep neural networks (DNNs) have evolved as a beneficial machine learning method that
has been successfully used in various applications. Currently, DNN is a superior technique …

Artificial Neural Networks (ANNs) are becoming increasingly useful in numerous areas as
they have a myriad of applications. Prior to using ANNs, the network structure needs to be …

The 3D simulation model of the lung was established by using the reconstruction method. A
computer aided pulmonary nodule detection model was constructed. The process iterates …

In this paper, a parallel deep learning-based community detection method in large complex
networks (CNs) is proposed. First, a CN partitioning method is employed to divide the CN …

Electrical discharge machining (EDM) can use soft tool electrodes to process hard
workpieces to achieve “soft against hard”, because it directly uses electrical energy and …

Unanimous action to achieve specific goals is crucial for the success of a robotic swarm.
This requires clearly defined roles and precise communication between the robots of a …

Lung cancer classification in screening computed tomography (CT) scans is one of the most
crucial tasks for early detection of this disease. Many lives can be saved if we are able to …

Lung cancer remains one of the leading causes of morbidity and mortality worldwide,
making early diagnosis critical for improving therapeutic outcomes and patient prognosis …

Much has been said about the fusion of bio-inspired optimization algorithms and Deep
Learning models for several purposes: from the discovery of network topologies and …