Results 91 to 100 of about 56,159 (288)

XAI for network management

pub
Fiandrino, Claudio, Fernández, Pablo, Fiore, Marco, Widmer, Joerg   +3 more
openaire   +2 more sources

3D Polymeric Nanonetworks: From Self‐Assembly to Advanced Fabrication

Macromolecular Materials and Engineering, EarlyView.
This review provides the first systematic cross‐method comparison of fabrication techniques for 3D polymeric nanonetworks. It evaluates five key strategies—block copolymer self‐assembly, hyper‐crosslinking, template‐assisted methods, 3D printing, and nanolithography—across critical metrics including resolution, throughput, scalability, and material ...
Carlos G. Cobos, Xiang Yan, Marisol Martín‐González   +2 more
wiley   +1 more source

The rollout of paediatric dolutegravir and virological outcomes among children living with HIV in Mozambique

Southern African Journal of HIV Medicine
Background: In 2022, Mozambique introduced Dolutegravir 10mg (pDTG), as part of paediatric antiretroviral therapy for children weighing 20 kg. Understanding real-world challenges during national rollout can strengthen health systems in resource-limited ...
Ivete Meque, Nicole Herrera, Amâncio Nhangave, Dórcia Mandlate, Rui Guilaze, Ana Tambo, Abdul Mussa, Nilesh Bhatt, Michelle M. Gill   +8 more
doaj   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo, Zhibo Zhang, Xuzhe Ma, Lin Li, Hailing Zhou, Chaojie Li, Huadong Mo   +6 more
wiley   +1 more source

Towards Trustworthy Myopia Detection: Integration Methodology of Deep Learning Approach, XAI Visualization, and User Interface System

, 2023
Worood Esam Noori, A. S. Albahri
openalex   +2 more sources

How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management: An Overview From Treatment to Distribution

Sustainable Development, EarlyView.
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi, Feihong Liang, Francesco Marinello, Andrea Pezzuolo   +3 more
wiley   +1 more source

Pixel Lens: A Granular Assessment of Saliency Explanations

Artificial Intelligence for Engineering, EarlyView.
We propose a pipeline that detects shortcut‐dominated classifiers by comparing predictions on clean and shortcut‐perturbed images and checking dominance via a Shapley‐based ground‐truth explainer. The workflow quantifies the explanation quality of different explainable artificial intelligence (XAI) methods.
Kanglong Fan, Chen Ma, Yifan Peng, Jinglong Yang, Qilin Sun, Yuming Fang   +5 more
wiley   +1 more source

Enhancing transparency and trust in AI-powered manufacturing: A survey of explainable AI (XAI) applications in smart manufacturing in the era of industry 4.0/5.0

ICT Express
Explainable Artificial Intelligence (XAI) is crucial for the transition from the fourth to fifth industrial revolution, providing transparency and fostering user confidence in Artificial Intelligence (AI) powered systems.
Konstantinos Nikiforidis, Alkiviadis Kyrtsoglou, Thanasis Vafeiadis, Thanasis Kotsiopoulos, Alexandros Nizamis, Dimosthenis Ioannidis, Konstantinos Votis, Dimitrios Tzovaras, Panagiotis Sarigiannidis   +8 more
doaj   +1 more source

Clinician-informed XAI evaluation checklist with metrics (CLIX-M) for AI-powered clinical decision support systems

npj Digital Medicine
The rapid growth of clinical explainable AI (XAI) models raised concerns over unclear purposes and false hope regarding explanations. Currently, no standardised metrics exist for XAI evaluation.
Aida Brankovic, David Cook, Jessica Rahman, Alana Delaforce, Jane Li, Farah Magrabi, Federico Cabitza, Enrico Coiera, DanaKai Bradford   +8 more
doaj   +1 more source