Benchmark for Bimanual Robotic Manipulation of Semi-deformable Objects

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Protection of one's intellectual property is a topic with important technological and legal facets. We provide mechanisms for establishing the ownership of a dataset consisting of multiple objects. The algorithms also preserve important properties of the d ...

Background: Coronary artery disease (CAD) is in part genetically determined. Aging is accentuated in people with human immunodeficiency virus (HIV) (PLWH). It is unknown whether genetic CAD event prediction in PLWH is improved by applying individual polyge ...

In this research, two crucial optimization problems of berth allocation and yard assignment in the context of bulk ports are studied. We discuss how these problems are interrelated and can be combined and solved as a single large scale optimization problem ...

Machine intelligence greatly impacts almost all domains of our societies. It is profoundly changing the field of mechanical engineering with new technical possibilities and processes. The education of future engineers also needs to adapt in terms of techni ...

This thesis addresses the question of abandonment in architecture, not in its negative sense of desertion, but as a possibility offered to buildings which have lost their original purpose, which is to say those buildings from social and economic contexts w ...

Making decisions is part and parcel of being human. Among a set of actions, we want to choose the one that has the highest reward. But the uncertainty of the outcome prevents us from always making the right decision. Making decisions under uncertainty can ...

Spurred by the recent advancements in Computer-Aided Design (CAD), Integral Mechanical Attachment (IMA) technique has been resurrected. Using IMAs, connections between timber elements are established through their form, instead of using additional connecto ...

Many important problems in contemporary machine learning involve solving highly non- convex problems in sampling, optimization, or games. The absence of convexity poses significant challenges to convergence analysis of most training algorithms, and in some ...

The complexity of Wireless Sensor Networks (WSNs) has been constantly increasing over the last decade, and the necessity of efficient CAD tools has been growing accordingly. In fact, the size of the design space of a WSN has become large, and an exploratio ...

Large dataflow designs are a result of behavioral specification of modern complex digital systems and/or a result of unfolding and transforming looped and branched programs. Since deep-submicron silicon technology provides large amounts of available resour ...

There is an increasing interest in the use of computer algorithms to identify combinations of parameters which optimise the energy performance of buildings. For such problems, the objective function can be multi-modal and needs to be approximated numerical ...

The curation of neuroscience entities is crucial to ongoing efforts in neuroinformatics and computational neuroscience, such as those being deployed in the context of continuing large-scale brain modelling projects. However, manually sifting through thousa ...

The YaQ software platform is a complete system dedicated to real-time crowd simulation and rendering. Fitting multiple application domains, such as video games and VR, YaQ aims to provide efficient algorithms to generate crowds comprising up to thousands o ...

This paper describes the results of initial experiments to apply computational algorithms to explore a large parameter space containing many variables in the search for an optimal solution for the sustainable design of an urban development using a potentia ...

This work presents and studies a distributed algorithm for solving optimization problems over networks where agents have individual costs to minimize subject to subspace constraints that require the minimizers across the network to lie in a low-dimensional ...

Benchmark for Bimanual Robotic Manipulation of Semi-deformable Objects

Chattez avec Graph Search

Right-Protected Data Publishing with Provable Distance-Based Mining

Coronary Artery Disease-Associated and Longevity-Associated Polygenic Risk Scores for Prediction of Coronary Artery Disease Events in Persons Living With Human Immunodeficiency Virus: The Swiss HIV Cohort Study

A Branch-and-Price Algorithm to Solve the Integrated Berth Allocation and Yard Assignment Problem in Bulk Ports

Automated Design: A Journey Across Modelling, Optimization, and Education

Transformations silencieuses : étude sur l'architecture alpine

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Mechanical Characterization of Integrally-Attached Timber Plate Structures: Experimental studies and macro modeling technique

Convergence without Convexity: Sampling, Optimization, and Games

Knowledge-based design space exploration of wireless sensor networks

Pipeline Synthesis and Optimization from Branched Feedback Dataflow Programs

A comparison of global optimisation algorithms with standard benchmark functions and real-world applications using EnergyPlus

A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience

YaQ: An Architecture for Real-Time Navigation and Rendering of Varied Crowds

A hybrid CMA-ES and HDE optimisation algorithm with application to solar energy potential

Distributed Learning over Networks under Subspace Constraints