In the race against the "Carbon Cliff", AI is becoming an essential tool for balancing the economic equation. AI integration ...

As renewable power rapidly reshapes global electricity systems, engineers face a growing challenge: how to operate increasingly complex grids with ...

Leaders run the risk of losing their strategic edge by blindly pushing AI for the sake of AI. Companies can no longer win the ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...

Abstract: The Mallat algorithm is widely used in discrete wavelet transform (DWT) for efficient multi-resolution signal decomposition. In this paper, a new algorithm based on the Mallat algorithm for ...

Data security involves implementing strategies to safeguard digital information against unauthorized disclosure and modification across computing and communication infrastructures. Given the ...

Carnival Corp is pushing ahead with its sustainability strategy after April’s agreement on greenhouse gas rules at the International Maritime Organization, but it is watching for details of the United ...

Abstract: In this paper, we develop the notion of the difference of evidence lower bounds (DELBO), based on which an efficient score algorithm is presented to implement feature selection on latent ...