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 ...
Mono Protocol positions itself as a chain abstraction layer for Web3 infrastructure. The protocol supports chain-agnostic application development with reduced technical complexity. Its architecture ...
AI can help design AI systems: automating architecture choices, discovering algorithms, and optimizing hardware ...
Abstract: Emerging industrial Internet-of-Things (IoT) applications demand diverse and critical Quality of Service (QoS). Deep reinforcement learning (DRL)-based routing approaches offer promise but ...
A new technique breaks Dijkstra's 70-year-old record: it finds routes faster in huge networks, changing graph theory forever.
ABSTRACT: The VRP is classified as an NP-hard problem. Hence exact optimization methods may be difficult to solve these problems in acceptable CPU times, when the problem involves real-world data sets ...
Abstract: The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is a widespread real-world challenge, and numerous algorithms have been proposed to address it. However, in the context of an ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback