MetaXAI: Metahuman-assisted audio and visual explainability framework for Internet of Medical Things
Author:
- 10 October 2024
- journal article
- research article
- Published by Elsevier in Biomedical Signal Processing and Control
- Vol. 100
Abstract
No abstract availableKeywords
This publication has 27 references indexed in Scilit:
- Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)Computer Methods and Programs in Biomedicine, 2022
- FogAI: An AI-supported fog controller for Next Generation IoTInternet of Things, 2022
- Wıreless Communıcatıons Beyond 5 g: Teraherzwaves, Nano-Communıcatıons and the Internet of Bıo-Nano-ThıngsWireless Personal Communications, 2022
- A tree classifier based network intrusion detection model for Internet of Medical ThingsComputers and Electrical Engineering, 2022
- iAFPs-EnC-GA: Identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approachChemometrics and Intelligent Laboratory Systems, 2022
- RETRACTED: AFP-CMBPred: Computational identification of antifreeze proteins by extending consensus sequences into multi-blocks evolutionary informationComputers in Biology and Medicine, 2021
- An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networksComputer Communications, 2021
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AIInformation Fusion, 2020
- iACP-GAEnsC: Evolutionary genetic algorithm based ensemble classification of anticancer peptides by utilizing hybrid feature spaceArtificial Intelligence in Medicine, 2017
- Understanding the Internet of Things: definition, potentials, and societal role of a fast evolving paradigmAd Hoc Networks, 2017