Aeronáutica y espacio

A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation

- Nasotracheal intubation (NTI) is a critical clinical procedure for establishing and maintaining patient airway patency. Machine-assisted NTI has emerged as a pivotal approach for optimizing...

Representative Spectral Correlation Network for Multi-source Remote Sensing Image Classification

- Hyperspectral image (HSI) and SAR/LiDAR data offer complementary spectral and structural information for land-cover classification. However, their effective fusion remains challenging due to two...

Orbital Data Centers: Spacecraft Constraints and Economic Viability

- Orbital data centers are being evaluated as solar-powered compute constellations and relay-integrated processing platforms. Their feasibility is not set by orbital solar flux alone, but by...

Stop Holding Your Breath: CT-Informed Gaussian Splatting for Dynamic Bronchoscopy

- Bronchoscopic navigation relies on registering endoscopic video to a preoperative CT scan, but respiratory motion deforms the airway by 5-20 mm, creating CT-to-body divergence that limits...

Dreaming Across Towns: Semantic Rollout and Town-Adversarial Regularization for Zero-Shot Held-Out-Town Fixed-Route Driving in CARLA

- Learned driving agents often degrade when deployed in unseen environments. This paper studies a deliberately bounded instance of that problem in the CARLA simulator: zero-shot transfer of a...

Noise2Map: End-to-End Diffusion Model for Semantic Segmentation and Change Detection

- Semantic segmentation and change detection are two fundamental challenges in remote sensing, requiring models to capture either spatial semantics or temporal differences from satellite imagery....

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning

- Decompositional jailbreaks pose a critical threat to large language models (LLMs) by allowing adversaries to fragment a malicious objective into a sequence of individually benign queries that...

NetSatBench: A Distributed LEO Constellation Emulator with an SRv6 Case Study

- NetSatBench is a distributed emulation platform for evaluating communication protocols and application workloads over large-scale LEO satellite systems. Satellites, gateways, and user terminals are...

A generalised pre-training strategy for deep learning networks in semantic segmentation of remotely sensed images

- In the segmentation of remotely sensed images, deep learning models are typically pre-trained using large image databases like ImageNet before fine-tuned on domain-specific datasets. However, the...

Libra: Accelerating Socket I/O via Programmable Selective Data Copying

- Layer-7 (L7) proxies are critical to modern cloud-native systems, yet their performance is increasingly bottlenecked by copying entire payloads across the kernel-user boundary. Existing approaches...

Green Physics-Informed Machine Learning Models For Structural Health Monitoring

- Machine learning continues to emerge as an important tool to be utilised within structural engineering and structural health monitoring, due to its ability to accurately and quickly perform both...

Multi-Connectivity for UAVs: A Measurement Study of Integrating Cellular, Aerial Mesh, and LEO Satellite Links

- Future uncrewed aerial vehicle (UAV) systems increasingly combine heterogeneous communication technologies, such as low-latency aerial mesh, terrestrial cellular, and satellite links, to improve...

SpaAct: Spatially-Activated Transition Learning with Curriculum Adaptation for Vision-Language Navigation

- Vision-and-Language Navigation (VLN) aims to enable an embodied agent to follow natural-language instructions and navigate to a target location in unseen 3D environments. We argue that adapting VLMs...

Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection

- With the widespread application of Unmanned Aerial Vehicles (UAVs) in bridge structural health monitoring, deep learning-based automatic crack detection has become a major research focus. However,...

ZAYAN: Disentangled Contrastive Transformer for Tabular Remote Sensing Data

- Learning informative representations from tabular data in remote sensing and environmental science is challenging due to heterogeneity, scarce labels, and redundancy among features. We present ZAYAN...

World2Minecraft: Occupancy-Driven Simulated Scenes Construction

- Embodied intelligence requires high-fidelity simulation environments to support perception and decision-making, yet existing platforms often suffer from data contamination and limited flexibility. To...

Toward Scalable SDN for LEO Mega-Constellations: A Graph Learning Approach

- Terrestrial network limitations drive the integration of non-terrestrial networks (NTNs), notably mega-constellations comprising thousands of low Earth orbit (LEO) satellites. While these satellites...

SST-Guard: Detecting and Characterizing Server-Side Google Analytics in the Wild

- As web browsers increasingly restrict client-side tracking, the web tracking ecosystem is shifting from client-side to server-side tracking (SST). In SST, the browser sends tracking requests to an...

Tracking Conversations: Measuring Content and Identity Exposure on AI Chatbots

- AI chatbots are becoming a primary interface for seeking information. As their popularity grows, chatbot providers are starting to deploy advertising and analytics. Despite this, tracking on AI...

RAY-TOLD: Ray-Based Latent Dynamics for Dense Dynamic Obstacle Avoidance with TDMPC

- Dense, dynamic crowds pose a persistent challenge for autonomous mobile robots. Purely reactive planning methods, such as Model Predictive Path Integral (MPPI) control, often fail to escape local...

AutoSurfer -- Teaching Web Agents through Comprehensive Surfing, Learning, and Modeling

- Recent advances in multimodal large language models (LLMs) have revolutionized web agents that can automate complex tasks on websites. However, their accuracy remains limited by the scarcity of...