A Cognitive Reference Based Model for Learning Compositional Hierarchies with Whole-Composite Tags

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Recent research demonstrates that naïve users can be trained to perform complex motor tasks, including trimanual activities, using an extra robotic arm (XRA). While previous studies show task‐specific improvements with XRAs, it remains uncertain whether sk ...

In crowding, perception of a target deteriorates in the presence of nearby elements. As the entire stimulus configuration across large parts of the visual field influences crowding and not just nearby elements, low-level explanations, such as local pooling ...

In droplet microfluidic devices with suction-based flow control, the microchannel geometry and suction pressure at the outlet govern the dynamic properties of the two phases that influence the droplet generation. Therefore, it is critical to understand the ...

The paper details the process of developing the ITER Plasma Control System (PCS), that is, how to design and deploy it systematically, in the most efficient and effective manner. The integrated nature of the ITER PCS, with its multitude of coupled control ...

The ability to reason, plan and solve highly abstract problems is a hallmark of human intelligence. Recent advancements in artificial intelligence, propelled by deep neural networks, have revolutionized disciplines like computer vision and natural language ...

We study the hitting probabilities of the solution to a system of d stochastic heat equations with additive noise subject to Dirichlet boundary conditions. We show that for any bounded Borel set with positive (d-6)\documentclass[12pt]{minimal} \usepackage{ ...

The aircraft assembly system is highly complex involving different stakeholders from multiple domains. The design of such a system requires comprehensive consideration of various industrial scenarios aiming to optimize key performance indicators. Tradition ...

In this article, we propose a dynamical system to avoid obstacles which are star shaped and simultaneously converge to a goal. The convergence is almost-global in a domain and the stationary points are identified explicitly. Our approach is based on the id ...

The construction industry plays a major role in the high levels of greenhouse gas emissions, resource consumption, and waste generation observed nowadays. Key to the circular economy, structural component reuse arises as a promising solution to divert cons ...

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 ...

Traditional martial arts are treasures of humanity's knowledge and critical carriers of sociocultural memories throughout history. However, such treasured practices have encountered various challenges in knowledge transmission and now feature many entries ...

Much attention has been paid to dynamical simulation and quantum machine learning (QML) independently as applications for quantum advantage, while the possibility of using QML to enhance dynamical simulations has not been thoroughly investigated. Here we d ...

Metal Forming is a basic and essential industrial process to provide materials for constructing complex products. To design an efficient metal forming process, the functional requirements and operational performance are two important aspects to be consider ...

Image information about the state of a building after an earthquake, which can be collected without endangering the post-earthquake reconnaissance activities, can be used to reduce uncertainties in response predictions for future seismic events. This paper ...

Decision-making permeates every aspect of human and societal development, from individuals' daily choices to the complex decisions made by communities and institutions. Central to effective decision-making is the discipline of optimization, which seeks th ...

Let F be a family of n pairwise intersecting circles in the plane. We show that the number of lenses, that is convex digons, in the arrangement induced by F is at most 2n - 2. This bound is tight. Furthermore, if no two circles in F touch, then the geometr ...

It is of great interest to the energy community to understand how the mechano-physico-chemical phenomena that eventually lead to device degradation are related to the startup, operation, and shutdown phases. For electrocatalytic systems operating in liquid ...

Deep learning has emerged as a promising avenue for automatic mapping, demonstrating high efficacy in land cover categorization through various semantic segmentation models. Nonetheless, the practical deployment of these models encounters important challen ...

Transformer models such as GPT generate human-like language and are predictive of human brain responses to language. Here, using functional-MRI-measured brain responses to 1,000 diverse sentences, we first show that a GPT-based encoding model can predict t ...

Accurate human trajectory prediction is crucial for applications such as autonomous vehicles, robotics, and surveillance systems. Yet, existing models often fail to fully leverage the non-verbal social cues human subconsciously communicate when navigating ...

A Cognitive Reference Based Model for Learning Compositional Hierarchies with Whole-Composite Tags

Chattez avec Graph Search

Exploring Skill Generalization with an Extra Robotic Arm for Motor Augmentation

Does surface completion fail to support uncrowding?

Modified capillary number to standardize droplet generation in suction-driven microfluidics

Strategy to systematically design and deploy the ITER plasma control system: A system engineering and model-based design approach

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Hitting with Probability One for Stochastic Heat Equations with Additive Noise

An aircraft assembly process formalism and verification method based on semantic modeling and MBSE

Dynamical system approach to navigation around obstacles

RE:SLAB — a load bearing system for open-ended component reuse in building structures

Oligolithic Cross-task Optimizations across Isolated Workloads

Ontology-based Knowledge Representation for Traditional Martial Arts

Dynamical simulation via quantum machine learning with provable generalization

A semantic model-based systems engineering approach for assessing the operational performance of metal forming process

Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection

Reliable data-driven decision-making through optimal transport

A Note on Lenses in Arrangements of Pairwise Intersecting Circles in the Plane

Quasi-operando Transmission Electron Microscopy Diagnostics for Electrocatalytic Processes in Liquids

Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance

Driving and suppressing the human language network using large language models

Social-Transmotion: Promptable Human Trajectory Prediction