The 1980s were vested in exploring the use of vanadium species in flow batteries. Sum et al. (1985a; 1985b) investigated the use of vanadium (II), (III), (IV), and (V) in ...
Abstract: Machine learning (ML) with approximation and numerical simulations plays an important role in aircraft design. ML techniques, such as deep learning and reinforcement learning, are ...
Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
ABSTRACT: This study proposes a dual-architecture Explainable Artificial Intelligence (XAI) framework designed to unify risk scoring methodologies across corporate and retail lending domains. The ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Coalescence filtration in fibrous filters underpins critical processes in various ...
Learning is often seen as something we do when everything else slows down. But what if it became the very force that drives how we work? In this reflection on the UN 2.0 vision and UNDP’s People ...
Walmart embraces agentic AI with major machine learning platform upgrade and developer ‘super agent’
Walmart Inc. is giving its Element machine learning platform a major agentic upgrade and adding a “super agent” for software development to its growing portfolio of semi-autonomous software robots. In ...
Abstract: This paper presents an image-based framework for classifying fluid flow regimes into low and high-speed states by utilizing spatially localized texture features combined with machine ...
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