Explainable artificial intelligence in information systems: A review of the status quo and future research directions
The quest to open black box artificial intelligence (AI) systems evolved into an emerging
phenomenon of global interest for academia, business, and society and brought about the …
phenomenon of global interest for academia, business, and society and brought about the …
Deep learning for detection cassava leaf disease
In this research, an intelligent system for detecting cassava leaf disease has been
developed by utilizing the MobileNetV2 deep learning model and displaying it using a …
developed by utilizing the MobileNetV2 deep learning model and displaying it using a …
An improved quantum combination method of mass functions based on supervised learning
S Xue, X Deng, W Jiang - Information Sciences, 2024 - Elsevier
Abstract In Dempster-Shafer evidence theory, how to model and handle the uncertainty
involved in mass functions is generally concerned by researchers. Recently, a quantum …
involved in mass functions is generally concerned by researchers. Recently, a quantum …
Gearbox fault diagnosis based on multi-sensor and multi-channel decision-level fusion based on SDP
Y Fu, X Chen, Y Liu, C Son, Y Yang - Applied Sciences, 2022 - mdpi.com
In order to deal with the shortcomings (such as poor robustness) of the traditional single-
channel vibration signal in the comprehensive monitoring of the gearbox fault state, a multi …
channel vibration signal in the comprehensive monitoring of the gearbox fault state, a multi …
[HTML][HTML] An ECR-PCR rule for fusion of evidences defined on a non-exclusive framework of discernment
D ** a hybrid methodology for green-based supplier selection: Application in the automotive industry
The green performance values of businesses are of great importance in terms of
sustainability, which includes long-term economic, social, and environmental effects. Thus …
sustainability, which includes long-term economic, social, and environmental effects. Thus …