Individualized diagnosis of preclinical Alzheimer’s disease using Deep Neural Networks

J. Park, S. Jang, J. Gwak, B. C. Kim, J. J. Lee, K. Y. Choi, K. H. Lee, S. C. Jun, G.-J. Jang, and S. Ahn , Expert Systems with Applications , vol. 210, p. 118511, 2022. (JCR 2023 IF=8.5, Q1 in Engineering, Electrical & Electronic, Top 8.2%)

Multi-task transfer learning facilitated by segmentation and denoising for anomaly detection of rail fasteners

B. Kim, Y. Jeon, J.-W. Kang, and J. Gwak* , Journal of Electrical Engineering & Technology , pp. 1-12, 2022. (JCR 2023 IF=1.9, Q3 in Engineering, Electrical & Electronic)

Tiny asymmetric feature normalized network for person re-identification system

H. Ahn, Y. Hong, H. Choi, J. Gwak*, and M. Jeon* , IEEE Access , vol. 10, pp. 131318–131330, 2022. (JCR 2023 IF=3.9, Q2 in Engineering, Electrical & Electronic)

Analysis of networks and digital systems by using the novel technique based on complex Fuzzy Soft Information

N. Jan, J. Gwak*, J. Pei, R. Maqsood, and A. Nasir , IEEE Transactions on Consumer Electronics , pp. 1–1, 2022. (JCR 2023 IF=4.3, Q2 in Engineering, Electrical & Electronic)

Investigation of blockchain technology by using the innovative concepts of complex Pythagorean fuzzy soft information

N. Jan, J. Gwak*, Y. Jeon, and B. Akram , Complexity , vol. 2022, pp. 1–18, 2022. (JCR 2023 IF=2.3, Q2 in Mathematics, Interdisciplinary Applications)

Drone navigation using region and edge exploitation-based deep CNN

M. A. Arshad, S. H. Khan, S. Qamar, M. W. Khan, I. Murtza, J. Gwak*, and A. Khan* , IEEE Access , vol. 10, pp. 95441–95450, 2022. (JCR 2023 IF=3.9, Q2 in Engineering, Electrical & Electronic)

Impact of covid 19 on the demand for an inventory model under Preservation Technology and advance payment facility

A. A. Shaikh, S. Das, G. C. Panda, I. M. Hezam*, A. F. Alrasheedi, and J. Gwak , Open Physics , vol. 20, no. 1, pp. 836–849, 2022. (JCR 2023 IF=1.9, Q3 in Physics, Multidisciplinary)

A predictive analysis of key factors defining the successful international trades in the environment of complex cubic fuzzy information

N. Jan, R. Maqsood, A. Nasir, M. Arif, and J. Gwak* , International Journal of Fuzzy Systems , vol. 24, no. 6, pp. 2673–2686, 2022. (JCR 2023 IF=4.3, Q2 in Automation & Control Systems)

Autonomous drone swarm navigation and multitarget tracking with island policy-based optimization framework

S. Qamar, S. H. Khan, M. A. Arshad, M. Qamar, J. Gwak*, and A. Khan* , IEEE Access , vol. 10, pp. 91073–91091, 2022. (JCR 2023 IF=3.9, Q2 in Engineering, Electrical & Electronic)

Cascade multiscale residual attention CNNs with adaptive ROI for Automatic Brain Tumor Segmentation

Z. Ullah, M. Usman, M. Jeon, and J. Gwak* , Information Sciences , vol. 608, pp. 1541–1556, 2022. (JCR 2023 IF=8.1, Q1 in Computer Science, Information Systems, Top 7.9%)

Analysis of risks and security of e-commerce by using the novel concepts of complex cubic picture fuzzy information

J. Gwak*, N. Jan, R. Maqsood, and A. Nasir , Journal of Function Spaces , vol. 2022, pp. 1–27, 2022. (JCR 2023 IF=1.9, Q1 in Mathematics, Top 11.4%)

Feature-level ensemble approach for COVID-19 detection using chest X-ray images

T. K. Ho and J. Gwak* , PLOS ONE , vol. 17, no. 7, p. e0268430, 2022. (JCR 2023 IF=3.7, Q2 in Multidisciplinary Sciences)

OVASO : Integrated binary cnn models to classify covid‐19, pneumonia and Healthy Lung in x‐ray images

H. Jeong, H. Kim, J. Yoon, K. Go, and J. Gwak* , International Journal of Imaging Systems and Technology , vol. 32, no. 4, pp. 1035–1048, 2022. (JCR 2023 IF=3.3, Q2, Engineering, Electrical & Electronic)

Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems

F. Din, S. Khalid, M. Fayaz*, J. Gwak, K. Z. Zamli, and W. K. Mashwani* , Mathematical Problems in Engineering , vol. 2022, pp. 1–17, 2022. (JCR 2023 IF=1.430, Q3 in Mathematics, Interdisciplinary Applications)

Abnormal event detection using adversarial predictive coding for motion and appearance

J. Yu, J.-G. Kim, J. Gwak, B.-G. Lee, and M. Jeon , Information Sciences , vol. 586, pp. 59–73, 2022. (JCR 2023 IF=8.1, Q1 in Computer Science, Information Systems, Top 7.9%)