Results 41 to 50 of about 23,034 (235)

Explainable AI for Cyber-Physical Systems: Issues and Challenges

IEEE Access
Artificial intelligence and cyber-physical systems (CPS) are two of the key technologies of the future that are enabling major global shifts. However, most of the current implementations of AI in CPS are not explainable, which creates serious problems in
Amber Hoenig, Kaushik Roy, Yaa Takyiwaa Acquaah, Sun Yi, Salil S. Desai   +4 more
doaj   +1 more source

An Interpretable Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data [PDF]

, 2018
The current gold standard for human activity recognition (HAR) is based on the use of cameras. However, the poor scalability of camera systems renders them impractical in pursuit of the goal of wider adoption of HAR in mobile computing contexts ...
Brophy, Eoin, Smeaton, Alan F., Veiga, José Juan Dominguez, Wang, Zhengwei, Ward, Tomas E.   +4 more
core   +1 more source

Explainable Artificial Intelligence (XAI): An Engineering Perspective

, 2021
The remarkable advancements in Deep Learning (DL) algorithms have fueled enthusiasm for using Artificial Intelligence (AI) technologies in almost every domain; however, the opaqueness of these algorithms put a question mark on their applications in safety-critical systems.
Hussain, F., Hussain, R., Hossain, E.
openaire   +2 more sources

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Explainable artificial intelligence systems for predicting mental health problems in autistics

Alexandria Engineering Journal
The recognition of mental disorder symptoms is crucial for timely management and reduction of recurring symptoms and disabilities. The ability to predict and explain mental health challenges can enable earlier intervention and more effective ...
El-Sayed Atlam, M. Rokaya, M. Masud, H. Meshref, Rakan Alotaibi, Abdulqader M. Almars, Mohammed Assiri, Ibrahim Gad   +7 more
doaj   +1 more source

Abduction-Based Explanations for Machine Learning Models

, 2018
The growing range of applications of Machine Learning (ML) in a multitude of settings motivates the ability of computing small explanations for predictions made. Small explanations are generally accepted as easier for human decision makers to understand.
Ignatiev, Alexey, Marques-Silva, Joao, Narodytska, Nina   +2 more
core   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

eXplainable Artificial Intelligence in Process Engineering: Promises, Facts, and Current Limitations

Applied System Innovation
Artificial Intelligence (AI) has been swiftly incorporated into the industry to become a part of both customer services and manufacturing operations.
Luigi Piero Di Bonito, Lelio Campanile, Francesco Di Natale, Michele Mastroianni, Mauro Iacono   +4 more
doaj   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source