An Outline of New Approach to Computation with Z-Numbers Based on the Concept of Lower Prevision. [PDF]
Aliev R, Huseynov O, Nuriyev A.
europepmc +1 more source
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings +6 more
wiley +1 more source
Artificial neural network-based prediction of hydromagnetic boundary layer nanofluid fluid flow and heat transportation over a porous wedge with brownian motion. [PDF]
Darem AA +5 more
europepmc +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Computational Fluid Dynamics to Investigate the Possible Behavior of <i>Ercaicunia multinodosa</i> While Swimming Inverted on the Water Surface. [PDF]
Li Y, Yang Z, Zhou Z.
europepmc +1 more source
Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing
Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou +13 more
wiley +1 more source
Vib2Mol: from vibrational spectra to molecular structures-a unified deep learning framework. [PDF]
Lu XY +8 more
europepmc +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
Beyond the General Linear Model: Linear Mixed-Effects Modeling of fMRI Data from the Human Connectome Project. [PDF]
Orzechowski D, Martins da Costa R.
europepmc +1 more source
A cost accounting formula for multiprogramming computers [PDF]
openaire +1 more source

