Electroencephalography (EEG) signals are crucial for investigating brain function and
cognitive processes. This study aims to address the challenges of efficiently recording and …

In the context of global trade, cross-border commodity pricing largely determines the
competitiveness and market share of businesses. However, existing methodologies often …

Digital terrain models (DTMs) are pivotal in remote sensing cartography and landscape
management requiring accurate surface representation and topological information …

This paper concerns the formation problem in multi-USV cluster formation containment
tracking tasks with a special topology. A topology reconstruction method was proposed that …

Risk analysis is an important business decision support task in customer relationship
management (CRM), involving the identification of potential risks or challenges that may …

We address the problem of performing a topology-aware simplification algorithm on a
compact and distributed data structure for triangle meshes, the Terrain trees. Topology …

This research delves into advanced route optimization for robots in smart logistics,
leveraging a fusion of Transformer architectures, Graph Neural Networks (GNNs), and …

The scale-space method is a well-established framework that constructs a hierarchical
representation of an input signal and facilitates coarse-to-fine visual reasoning. Considering …

Urbana parker är en central del i människors välbefinnande. De är platser för rekreation,
aktiviteter och sociala utbyten. Forskning visar att under vinterhalvåret minskar användandet …

This paper explores the integration of Geographic Information System (GIS) data within a 3D
unbounded space partitioning framework to enrich architectural modeling beyond …