1. “How to Design and Evaluate mHealth Apps? A Case Study of a Mobile Personal Health Record App”
by Guyeop Kim, Dongwook Hwang, Jaehyun Park, Hyun K. Kim and Eui-Seok Hwang
Electronics 2024, 13(1), 213; https://doi.org/10.3390/electronics13010213
Available online: https://www.mdpi.com/2079-9292/13/1/213
Citations: 3

2. “Assessing the Reliability of Machine Learning Models Applied to the Mental Health Domain Using Explainable AI”
by Vishnu Pendyala and Hyungkyun Kim
Electronics 2024, 13(6), 1025; https://doi.org/10.3390/electronics13061025
Available online: https://www.mdpi.com/2079-9292/13/6/1025
Citations: 3 

3. “Evaluating Deep Learning Resilience in Retinal Fundus Classification with Generative Adversarial Networks Generated Images”
by Marcello Di Giammarco, Antonella Santone, Mario Cesarelli, Fabio Martinelli and Francesco Mercaldo
Electronics 2024, 13(13), 2631; https://doi.org/10.3390/electronics13132631
Available online: https://www.mdpi.com/2079-9292/13/13/2631

4. “You Are Not Alone! Care Professionals’ Acceptance of Telemedicine in Nursing Homes Comparing Pre- and Post-Implementation Evaluations”
by Julia Offermann, Optimal@NRW Research Group and Martina Ziefle
Electronics 2024, 13(15), 3022; https://doi.org/10.3390/electronics13153022
Available online: https://www.mdpi.com/2079-9292/13/15/3022

5. “Comparison of Machine Learning Models for Predicting Interstitial Glucose Using Smart Watch and Food Log”
by Haider Ali, Imran Khan Niazi, David White, Malik Naveed Akhter and Samaneh Madanian
Electronics 2024, 13(16), 3192; https://doi.org/10.3390/electronics13163192
Available online: https://www.mdpi.com/2079-9292/13/16/3192

6. “Dynamic Partitioning of Graphs Based on Multivariate Blood Glucose Data—A Graph Neural Network Model for Diabetes Prediction”
by Jianjun Li, Xiaozhe Jiang and Kaiyue Wang
Electronics 2024, 13(18), 3727; https://doi.org/10.3390/electronics13183727 
Available online: https://www.mdpi.com/2079-9292/13/18/3727
Citations: 3

7. “Fatigue Driving State Detection Based on Spatial Characteristics of EEG Signals”
by Wenwen Chang, Wenchao Nie, Renjie Lv, Lei Zheng, Jialei Lu and Guanghui Yan
Electronics 2024, 13(18), 3742; https://doi.org/10.3390/electronics13183742
Available online: https://www.mdpi.com/2079-9292/13/18/3742 

8. “A Method for Fingerprint Edge Enhancement Based on Radial Hilbert Transform”
by Baiyang Wu, Shuo Zhang, Weinan Gao, Yong Bi and Xiaosong Hu
Electronics 2024, 13(19), 3886; https://doi.org/10.3390/electronics13193886
Available online: https://www.mdpi.com/2079-9292/13/19/3886

9. “AffectiVR: A Database for Periocular Identification and Valence and Arousal Evaluation in Virtual Reality”
by Seok, Chaelin, Yeongje Park, Junho Baek, Hyeji Lim, Jong-hyuk Roh, Youngsam Kim, Soohyung Kim and Eui Chul Lee
Electronics 2024, 13(20), 4112; https://doi.org/10.3390/electronics13204112
Available online: https://www.mdpi.com/2079-9292/13/20/4112 

10. “A Methodology for the Design of a Compliant Electrocardiograph: A Case Study”
by Luis Alberto Gordillo-Roblero, Jorge Alberto Soto-Cajiga, Carlos Romo-Fuentes, Luis Felipe Martínez-Soto and Noé Amir Rodríguez-Olivares
Electronics 2024, 13(21), 4238; https://doi.org/10.3390/electronics13214238
Available online: https://www.mdpi.com/2079-9292/13/21/4238 

11. “Diagnosing and Characterizing Chronic Kidney Disease with Machine Learning: The Value of Clinical Patient Characteristics as Evidenced from an Open Dataset”
by Juan Figueroa, Patrick Etim, Adithyan Karanathu Shibu, Derek Berger and Jacob Levman
Electronics 2024, 13(21), 4326; https://doi.org/10.3390/electronics13214326
Available online: https://www.mdpi.com/2079-9292/13/21/4326

12. “Reflective Dialogues with a Humanoid Robot Integrated with an LLM and a Curated NLU System for Positive Behavioral Change in Older Adults”
by Ryan Browne, Mirza Mohtashim Alam, Qasid Saleem, Abrar Hyder, Tatsuya Kudo, Francesca D’Agresti, Martino Maggio, Keiko Homma, Eerik-Juhanna Siitonen, Naoko Kounosu et al.
Electronics 2024, 13(22), 4364; https://doi.org/10.3390/electronics13224364 
Available online: https://www.mdpi.com/2079-9292/13/22/4364

13. “Wearable System for Continuous Estimation of Transepidermal Water Loss”
by Natsumi Matsui, Ayumi Ohnishi, Ayaka Uyama, Tetsuzo Sugino, Tsutomu Terada and Masahiko Tsukamoto
Electronics 2024, 13(23), 4779; https://doi.org/10.3390/electronics13234779
Available online: https://www.mdpi.com/2079-9292/13/23/4779 

14. “Developing an Alert System for Agricultural Protection: Sika Deer Detection Using Raspberry Pi”
by Sandhya Sharma, Buchaputara Pansri, Suresh Timilsina, Bishnu Prasad Gautam, Yoshifumi Okada, Shinya
Watanabe, Satoshi Kondo and Kazuhiko Sato
Electronics 2024, 13(23), 4852; https://doi.org/10.3390/electronics13234852   
Available online: https://www.mdpi.com/2079-9292/13/23/4852