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[HTML][HTML] A systematic review of explainable artificial intelligence in terms of different application domains and tasks
Artificial intelligence (AI) and machine learning (ML) have recently been radically improved
and are now being employed in almost every application domain to develop automated or …
and are now being employed in almost every application domain to develop automated or …
Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare
Abstract Background and Objective: Artificial Intelligence (AI) has shown significant
advancements across several industries, including healthcare, using better fusion …
advancements across several industries, including healthcare, using better fusion …
[HTML][HTML] A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory
Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …
growth and increased complexity of aviation and has to be improved in order to maintain …
Unboxing machine learning models for concrete strength prediction using XAI
Concrete is a cost-effective construction material widely used in various building
infrastructure projects. High-performance concrete, characterized by strength and durability …
infrastructure projects. High-performance concrete, characterized by strength and durability …
Compressive strength prediction of ternary-blended concrete using deep neural network with tuned hyperparameters
Studies have been conducted to predict the compressive strength of ternary-blended
concrete using regression models, such as support vector regression (SVR), random forest …
concrete using regression models, such as support vector regression (SVR), random forest …
[HTML][HTML] Green buildings: requirements, features, life cycle, and relevant intelligent technologies
Green buildings are designed and constructed according to the principles of sustainable
development and are an inevitable trend in future architectural development. Nowadays …
development and are an inevitable trend in future architectural development. Nowadays …
[HTML][HTML] Prediction of mechanical properties by artificial neural networks to characterize the plastic behavior of aluminum alloys
In metal forming, the plastic behavior of metallic alloys is directly related to their formability,
and it has been traditionally characterized by simplified models of the flow curves, especially …
and it has been traditionally characterized by simplified models of the flow curves, especially …
Dynamic property growth of weathered granite soils stabilized with wood pellet fly ash based binders
This study investigates the influence of wood pellet fly ash (WA) and wood pellet fly ash-
blended binders (WABB) on the dynamic growth of albite-based weathered granite soils …
blended binders (WABB) on the dynamic growth of albite-based weathered granite soils …
Pareto optimal decisions in multi-criteria decision making explained with construction cost cases
In multi-criteria decision-making (MCDM) problems the decision-maker is often forced to
accept a not ideal solution. If the ideal choice exists, it would be certainly chosen. The …
accept a not ideal solution. If the ideal choice exists, it would be certainly chosen. The …
Explainable AI: to reveal the logic of black-box models
Chinu, U Bansal - New Generation Computing, 2024 - Springer
Artificial intelligence (AI) is continuously evolving; however, in the last 10 years, it has gotten
considerably more difficult to explain AI models. With the help of explanations, end users …
considerably more difficult to explain AI models. With the help of explanations, end users …