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Abstract: Soft Open Point and Shore-to-Ship Power applications permit to deploy smart grid infrastructure into distribution and port networks. Both are based on power electronics converters that ...
Abstract: We propose the first framework to learn control policies for vision-based human-to-robot handovers, a critical task for human-robot interaction. While research in Embodied AI has made ...
Abstract: In this work, a methodology to find the best view of a grape stem and approach angle in order to crop it is proposed. The control scheme is based only on a classified point cloud obtained by ...
Abstract: As more solar photovoltaic (PV) systems are put in place, we need better ways to find faults to make sure the systems work as well as possible and provide as much energy as possible. This ...
Abstract: The simultaneous utilization of various energy transmission and generation infrastructures, such as gas and electricity networks, is a key concept in multi-carrier energy systems. Integrated ...
Abstract: Driven by the increasing demand for accurate and efficient representation of 3D data in various domains, point cloud sampling has emerged as a pivotal research topic in 3D computer vision.
Working for Everest Reinsurance across North America, Europe and Asia-Pacific, Shanmuka Siva Varma Chekuri reduced manual reconciliation by 70% and achieved same-day payment cycles, proving embedded ...
Abstract: Accurately monitoring the spatiotemporal dynamics of environmental fields using point-based wireless sensor networks (WSNs) is critical for applications such as urban microclimate monitoring ...
Abstract: In this paper, we propose a Transformer encoder-decoder architecture, called PoinTr, which reformulates point cloud completion as a set-to-set translation problem and employs a ...
One theme stood out above all others: the death of the linear paradigm. For decades, retailers have operated within a predictable ‘browse and buy’ funnel. But that world is gone. We have entered an ...