Journal of Ambient Intelligence and Humanized Computing - Top 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.

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda (this opens in a new tab), by Yogesh Kumar, Apeksha Koul, Ruchi Singla, Muhammad Fazal Ijaz

The impact of 5G on the evolution of intelligent automation and industry digitization (this opens in a new tab), by Mohsen Attaran

Transfer learning for image classification using VGG19: Caltech-101 image data set (this opens in a new tab), by Monika Bansal, Munish Kumar, Monika Sachdeva, Ajay Mittal

Machine learning in crime prediction (this opens in a new tab), by Karabo Jenga, Cagatay Catal, Gorkem Kar

Employability prediction: a survey of current approaches, research challenges and applications (this opens in a new tab), by Nesrine Mezhoudi et al.

Detection and classification of lung diseases for pneumonia and Covid-19 using machine and deep learning techniques (this opens in a new tab), by Shimpy Goyal, Rajiv Singh

User requirements for the design of smart homes: dimensions and goals (this opens in a new tab), by Michaela R. Reisinger, Sebastian Prost, Johann Schrammel, Peter Fröhlich 

Review of the theory, principles, and design requirements of human-centric Internet of Things (IoT) (this opens in a new tab), by Kaja Fjørtoft Ystgaard, Luigi Atzori, David Palma, Poul Einar Heegaard, Lene Elisabeth Bertheussen, Magnus Rom Jensen, Katrien De Moor 

A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges (this opens in a new tab), by Javier Torregrosa et al.

A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram (this opens in a new tab), by Nehemiah Musa et al.