Related publications (32)

Dynamic Voxels Based on Ego-Conditioned Prediction: An Integrated Spatio-Temporal Framework for Motion Planning

Alexandre Massoud Alahi, Ting Zhang

Prediction is a vital component of motion planning for autonomous vehicles (AVs). By reasoning about the possible behavior of other target agents, the ego vehicle (EV) can navigate safely, efficiently, and politely. However, most of the existing work overl ...
Ieee-Inst Electrical Electronics Engineers Inc2024

Oligolithic Cross-task Optimizations across Isolated Workloads.

Anastasia Ailamaki, Panagiotis Sioulas, Eleni Zapridou

Enterprises collect data in large volumes and leverage them to drive numerous concurrent decisions and business processes. Their teams deploy multiple applications that often operate concurrently on the same data and infrastructure but have widely differen ...
2024

Resource Trade-Offs in Circuits and Systems: from Neurotechnology to Communications

Arda Uran

This thesis aims to explore and exploit trade-offs in integrated circuits and systems to overcome the fundamental bottlenecks faced by future data acquisition and communication systems. Specifically, we target the emerging implantable neurotechnology and t ...
EPFL2021

A reduced order model to predict the machining time and cost of small-scale radial-inflow turbines

Jürg Alexander Schiffmann, Matthias Geiselhart

This paper proposes a novel approach to predict the machining time of small-scale radial-inflow turbine impellers for organic Rankine cycle power systems based on preliminary design parameters. The time prediction method uses machining databases of differe ...
Technical University of Munich2021

Planning for a Changing Climate without Accurate Predictions

Parag Rastogi, Mohammad Emtiyaz Khan

Simulation is an informative tool to plan the design and renovation of engineering systems, but its use requires accurate inputs from the users. Inputs such as the unknown future operating conditions might be expected in a system’s lifetime, e.g., the futu ...
Taylor & Francis Group2021

Atomistic modeling of the solid-liquid interface of metals and alloys

Edoardo Baldi

Solidification is a phase transformation of utmost importance in material science, for it largely controls materials' microstructure on which a wide range of mechanical properties depends. Almost every human artifact undergoes a transformation that leads t ...
EPFL2020

Smart Factory Information Service Bus (SIBUS) for manufacturing application: requirement, architecture and implementation

Ian Anthony Stroud, Jumyung Um

The Smart Factory is an important topic worldwide as a means for achieving Industry 4.0 in the manufacturing domain. Contemporary research on the Smart Factory has been concerned with application of the so-called Internet of Things (IoT) to the shop floor. ...
2019

Exploiting structure of chance constrained programs via submodularity

Maryam Kamgarpour, Tony Alan Wood

We introduce a novel approach to reduce the computational effort of solving convex chance constrained programs through the scenario approach. Instead of reducing the number of required scenarios, we directly minimize the computational cost of the scenario ...
2019

Machine Learning in High Energy Physics Community White Paper

Sofia Vallecorsa, João Miguel das Neves Duarte, Siyuan Wang, Wenjing Wu, Igor Lakomov

Machine learning is an important applied research area in particle physics, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event identification and reconstruction ...
IOP PUBLISHING LTD2018

Predictive Maintenance Platform Based on Integrated Strategies for Increased Operating Life of Factories

Gökan May, Sangje Cho

Process output and profitability of the operations are mainly determined by how the equipment is being used. The production planning, operations and machine maintenance influence the overall equipment effectiveness (OEE) of the machinery, resulting in more ...
SPRINGER-VERLAG BERLIN2018

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