Explainable artificial intelligence: a comprehensive review

D Minh, HX Wang, YF Li, TN Nguyen - Artificial Intelligence Review, 2022 - Springer
Thanks to the exponential growth in computing power and vast amounts of data, artificial
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …

A systematic review of explainable artificial intelligence in terms of different application domains and tasks

MR Islam, MU Ahmed, S Barua, S Begum - Applied Sciences, 2022 - mdpi.com
Artificial intelligence (AI) and machine learning (ML) have recently been radically improved
and are now being employed in almost every application domain to develop automated or …

Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey

W Ding, M Abdel-Basset, H Hawash, AM Ali - Information Sciences, 2022 - Elsevier
The continuous advancement of Artificial Intelligence (AI) has been revolutionizing the
strategy of decision-making in different life domains. Regardless of this achievement, AI …

Federated neural architecture search for medical data security

X Liu, J Zhao, J Li, B Cao, Z Lv - IEEE transactions on industrial …, 2022 - ieeexplore.ieee.org
Medical data widely exist in the hospital and personal life, usually across institutions and
regions. They have essential diagnostic value and therapeutic significance. The disclosure …

Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: A systematic survey

N Talpur, SJ Abdulkadir, H Alhussian… - Artificial intelligence …, 2023 - Springer
Deep neural networks (DNN) have remarkably progressed in applications involving large
and complex datasets but have been criticized as a black-box. This downside has recently …

Explainable convolutional neural networks: A taxonomy, review, and future directions

R Ibrahim, MO Shafiq - ACM Computing Surveys, 2023 - dl.acm.org
Convolutional neural networks (CNNs) have shown promising results and have
outperformed classical machine learning techniques in tasks such as image classification …

The fusion of deep learning and fuzzy systems: A state-of-the-art survey

Y Zheng, Z Xu, X Wang - IEEE Transactions on Fuzzy Systems, 2021 - ieeexplore.ieee.org
Deep learning presents excellent learning ability in constructing learning model and greatly
promotes the development of artificial intelligence, but its conventional models cannot …

Deep learning in diverse intelligent sensor based systems

Y Zhu, M Wang, X Yin, J Zhang, E Meijering, J Hu - Sensors, 2022 - mdpi.com
Deep learning has become a predominant method for solving data analysis problems in
virtually all fields of science and engineering. The increasing complexity and the large …

An attribution graph-based interpretable method for CNNs

X Zheng, L Zhang, C Xu, X Chen, Z Cui - Neural Networks, 2024 - Elsevier
Abstract Convolutional Neural Networks (CNNs) have demonstrated outstanding
performance in various domains, such as face recognition, object detection, and image …

Optimized sustainable manufacturing through fuzzy control in image-based visual servoing with velocity and field-of-view constraints

M Cheng, H Tang, UA Bhatti, D Li - IEEE Transactions on Fuzzy …, 2024 - ieeexplore.ieee.org
The performance of image-based visual servoing (IBVS) in dynamic, high-speed, and high-
precision applications is a major issue in sustainable and smart manufacturing systems. The …