Results 101 to 110 of about 170,012 (273)
This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
wiley +1 more source
This study examines a thermal power plant with a cluster of multi-type combined heat and power units, focusing on solving the collaborative bidding decision problem in the day-ahead spot market.
Quan Lyu +5 more
doaj +1 more source
Real-time Bidding campaigns optimization using attribute selection
Real-Time Bidding is nowadays one of the most promising systems in the online advertising ecosystem. In the presented study, the performance of RTB campaigns is improved by optimising the parameters of the users' profiles and the publishers' websites. Most studies about optimising RTB campaigns are focused on the bidding strategy.
Miralles, Luis +2 more
openaire +2 more sources
Additive manufacturing (AM) allows great geometric freedom for lightweight components. As parts are progressively optimized exploiting potentials in AM leading in smaller material cross sections, high pressure solution treating and aging (STA) treatments show an enormous potential for strongly improving material properties.
Mika León Altmann +4 more
wiley +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Data-driven model for real-time evaluating capacity of commercial buildings to participate in the demand response [PDF]
The collective building stock is a major energy consumer, driving political discussions and forcing building owners to seek out cost-effective technologies.
Belikov Juri +3 more
doaj +1 more source
The flexible charging and discharging behaviours of electric vehicles (EVs) can provide a promising profit opportunity for EV owners or aggregators in deregulated market. However, a major barrier to overcome is the uncertain market prices.
Weijia Liu +3 more
doaj +1 more source
Applying revenue management to agent-based transportation planning [PDF]
We consider a multi-company, less-than-truckload, dynamic VRP based on the concept of multi-agent systems. We focus on the intelligence of one vehicle agent and especially on its bidding strategy.
Douma, Albert +2 more
core +2 more sources
USING MACHINE LEARNING IN REAL-TIME BIDDING
The relevance of the study is stipulated by the need for automated and prompt decision-making in real-time bidding systems (RTB) operating in the dynamic environment of digital advertising based on a large number of user and contextual parameters. Given the growth of data volumes and high requirements for content personalization, there is a need to ...
Denys Korotin, Natalia Lashchevska
openaire +1 more source
3D‐Printed Giant Magnetoresistive (GMR) Sensors Based on Self Compliant Springs
This work explores 3D‐printed GMR sensors utilizing self‐compliant spring structures and conductive PLA composites. By optimizing arm width, we achieved high piezoresistive (0.34%/mm) and magnetoresistive (0.77%/mT) sensitivities. Demonstrated through Bluetooth‐integrated pressure and magnetic position sensing, these full printed low‐cost, customizable
Josu Fernández Maestu +4 more
wiley +1 more source

