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Winged aerial robots and Unmanned Aerial Vehicles (UAVs) commonly referred to as winged drones and drones, are increasingly used in a wide range of professional and non-professional applications today, spanning from civilian to military. As a result, they ...
All three natural polymers of biomass and the monomer platforms derived from them present multiple avenues to develop products from specialty to bulk markets, which could serve as entry points into the industry for bio-based sustainable materials. However, ...
This research presents a framework to identify and integrate typical districts in a national energy system to assess the impact of decentralized energy hub configurations. The framework includes a two-step global sensitivity analysis to determine the model ...
Last-mile delivery in the logistics chain contributes to congestion in urban networks due to frequent stops. Crowd-shipping is a sustainable and low-cost alternative to traditional delivery but relies heavily on the availability of occasional couriers. In ...
In the current deep learning paradigm, the amount and quality of training data are as critical as the network architecture and its training details. However, collecting, processing, and annotating real data at scale is difficult, expensive, and time-consum ...
Interview pour comprendre les prix élevés des logements en propriété (appartements et maisons), l'estimation des prix, le viager comme solution de financement et la taxation de la valeur locative. ...
For efficient feedstock and energy utilization, integrated biorefinery processes are applied to furfural production from bagasse to convert furfural residue into 5-hydroxymethylfurfural (HMF)-an important intermediate building block for the production of v ...
Lensless imaging provides a large panel of benefits : cost, size, weight, etc., that are crucial for wearable application, IoT or medical devices. Such setups require the design of reconstruction algorithms to recover the image from the captured measuremen ...
Many problems in robotics are fundamentally problems of geometry, which have led to an increased research effort in geometric methods for robotics in recent years. The results were algorithms using the various frameworks of screw theory, Lie algebra, and d ...
In this work, we develop a new framework for dynamic network flow pro-blems based on optimal transport theory. We show that the dynamic multicommodity minimum-cost network flow problem can be formulated as a multimarginal optimal transport problem, where t ...
