The convergence of artificial intelligence (AI), big data (DB), and Internet of Things (IoT) in
Society 5.0, has given rise to Marketing 5.0, revolutionizing personalized customer …

Cancer, characterized by the uncontrolled division of abnormal cells that harm body tissues,
necessitates early detection for effective treatment. Medical imaging is crucial for identifying …

Currently, the improvement in AI is mainly related to deep learning techniques that are
employed for the classification, identification, and quantification of patterns in clinical …

Accurate prediction of the average thermal extraction load (ATEL) in hydrothermal heating
systems optimizes energy recovery, though numerical models are constrained by modeling …

Skin cancer poses a significant healthcare challenge, requiring precise and prompt
diagnosis for effective treatment. While recent advances in deep learning have dramatically …

Many researchers have examined the benefits of machine learning (ML) algorithms in
geothermal drilling, especially for predicting the rate of penetration (ROP) of drilling …

Brain tumors can be classified into many different types based on their shape, texture, and
location. Accurate diagnosis of brain tumor types can help doctors to develop appropriate …

This study introduces an ensemble methodology, namely, hybrid feature ranking and
classifier aggregation (HyFraCa), to integrate ensemble feature selection and ensemble …

The coronavirus pandemic has kept people away from social life and this has led to an
increase in the use of social media over the past two years. Thanks to social media, people …

To address the misidentification problem of signals containing unknown faults for
hydropower units, a progressive fault diagnosis system is designed. Firstly, in view of the …