[HTML][HTML] BIM integration with XAI using LIME and MOO for automated green building energy performance analysis

AM Khan, MA Tariq, SKU Rehman, T Saeed… - Energies, 2024 - mdpi.com
Achieving sustainable green building design is essential to reducing our environmental
impact and enhancing energy efficiency. Traditional methods often depend heavily on …

[HTML][HTML] Explainable AI (XAI) techniques for convolutional neural network-based classification of drilled holes in melamine faced chipboard

A Sieradzki, J Bednarek, A Jegorowa, J Kurek - Applied Sciences, 2024 - mdpi.com
The furniture manufacturing sector faces significant challenges in machining composite
materials, where quality issues such as delamination can lead to substandard products. This …

[HTML][HTML] Enhancing the interpretability of malaria and typhoid diagnosis with explainable AI and large language models

K Attai, M Ekpenyong, C Amannah, D Asuquo… - Tropical Medicine and …, 2024 - mdpi.com
Malaria and Typhoid fever are prevalent diseases in tropical regions, and both are
exacerbated by unclear protocols, drug resistance, and environmental factors. Prompt and …

Explainable Artificial Intelligence (XAI): A Perspective

M Chakraborty - International Ethical Hacking Conference, 2024 - Springer
Abstract The term “Explainable AI”(XAI) describes the capacity of AI systems to give humans
intelligible justifications for their choices and actions. This is essential for fostering trust in AI …

LIME: Optimising the creation of explanations

JTM Pereira - 2024 - recipp.ipp.pt
Explainable Artificial Intelligence (XAI) techniques are increasingly necessary for ensuring
trust and acceptance of complex machine learning models across various fields. One widely …