Neural Computing and Applications - Top 10 Downloaded Articles 2023

We want to thank the authors of our most-downloaded articles in 2023, and highlight to our readers some of the most impactful research to have been published in the journal. We hope that you will find the articles interesting.

An improved fire detection approach based on YOLO-v8 for smart cities (this opens in a new tab), by Fatma M. Talaat, Hanaa ZainEldin

Pima Indians diabetes mellitus classification based on machine learning (ML) algorithms (this opens in a new tab), by Victor Chang, Jozeene Bailey, Qianwen Ariel Xu, Zhili Sun

A rare failure detection model for aircraft predictive maintenance using a deep hybrid learning approach (this opens in a new tab), by Maren David Dangut, Ian K. Jennions, Steve King, Zakwan Skaf

Demand forecasting model for time-series pharmaceutical data using shallow and deep neural network model (this opens in a new tab), by R. Rathipriya et al.

Data Augmentation techniques in time series domain: a survey and taxonomy (this opens in a new tab), by Guillermo Iglesias et al.

Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review (this opens in a new tab), by Hamdi Altaheri et al.

A review on COVID-19 forecasting models (this opens in a new tab), by Iman Rahimi, Fang Chen, Amir H. Gandomi

A systematic review of machine learning techniques for stance detection and its applications (this opens in a new tab), by Nora Alturayeif, Hamzah Luqman, Moataz Ahmed

Skin cancer diagnosis based on deep transfer learning and sparrow search algorithm (this opens in a new tab), by Hossam Magdy Balaha, Asmaa El-Sayed Hassan

A survey on deep learning applied to medical images: from simple artificial neural networks to generative models (this opens in a new tab), by P. Celard et al.