Results 201 to 210 of about 14,041 (338)

Laterally Oscillating Trajectory for Undersampling Slices: LOTUS

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose While spiral sampling offers SNR advantages for diffusion MRI, its acceleration with simultaneous multislice remains relatively unexplored. This study introduces Laterally Oscillating Trajectory for Undersampling Slices (LOTUS), which is a 3D spiral‐like k‐space trajectory that aims to minimize g‐factor via controlled incoherent ...
Mayuri Sothynathan   +2 more
wiley   +1 more source

Massive Sampling Strategy for Antibody–Antigen Targets in CAPRI Round 55 With MassiveFold

open access: yesProteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT Massive sampling with AlphaFold2 improves protein–protein complex predictions. This has been shown during the last CASP15‐CAPRI blind prediction round by the AFsample tool. However, more difficult targets including antibody–antigen binding remain challenging. CAPRI Round 55 consisted of three antibody–antigen targets and one heterotrimer.
Nessim Raouraoua   +2 more
wiley   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi   +3 more
wiley   +1 more source

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling   +3 more
wiley   +1 more source

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