Results 211 to 220 of about 1,167,100 (307)

Subterranean Mine Inspection Using the Prometheus Re‐Configurable Drone

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT This paper describes the design, development, and real‐world testing of an autonomous drone for subterranean exploration, known as “Prometheus.” Driven by requirements from industry that the drone be able to be deployed through areas of restricted access, Prometheus was designed to be directly deployed through a 150 mm aperture.
Liam Brown   +8 more
wiley   +1 more source

Vector Field‐Based Collision‐Free Navigation in Tunnel‐Like Environments

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Tunnel‐like environments, renowned for their vast scale, confined spaces, and limited visibility, present significant challenges for autonomous robot navigation. This study addresses the critical issue of guiding robots through such environments while ensuring collision‐free navigation and maintaining a specified safety margin from both tunnel
Bao Jianjun   +5 more
wiley   +1 more source

Tuberculosis after TB Preventive Therapy in Persons Living with HIV Recently Initiating Antiretroviral Therapy, Mozambique. [PDF]

open access: yesEmerg Infect Dis
Templin L   +15 more
europepmc   +1 more source

Lacking data? No worries! How synthetic images can alleviate image scarcity in wildlife surveys: A case study with muskox (Ovibos moschatus)

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study investigates the integration of synthetic imagery, created with diffusion‐based models, to supplement limited training data and improve muskox (Ovibos moschatus) detection in zero‐shot (ZS) and few‐shot (FS) settings. ZS models detected more than 80% of muskoxen in real images, confirming the potential of synthetic data as a substitute for ...
Simon Durand   +4 more
wiley   +1 more source

Hybrid GNN and temporal encoder models for flood forecasting in the Vu Gia–Thu Bon River Basin

open access: yesRiver, EarlyView.
Abstract Flood forecasting in river networks requires models that can capture both spatial dependencies across river basins and the temporal dynamics of hydrological processes. This study proposes a hybrid approach combining Graph Neural Networks (GNNs) with temporal sequence models, such as Long Short‐Term Memory (LSTM) networks and Transformer ...
Dinh Huy Nguyen   +4 more
wiley   +1 more source

Location‐Assisted Graph‐Based User Scheduling in Multi‐User MIMO LEO NTN Systems

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper addresses user clustering and scheduling for multi‐user MIMO low Earth orbit nonterrestrial network systems in full frequency reuse. Since the number of on‐ground user terminals is usually much higher than the number of on‐board LEO satellite antennas, user scheduling becomes a fundamental task.
Bilal Ahmad   +4 more
wiley   +1 more source

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