Results 191 to 200 of about 186,339 (256)
Graphical Model Selection for Gaussian Conditional Random Fields in the Presence of Latent Variables. [PDF]
J Am Stat Assoc, 2019 Frot B, Jostins L, McVean G.
europepmc +1 more source
Advanced Robotics Research, EarlyView.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
CORRECTING FOR MEASUREMENT ERROR IN LATENT VARIABLES USED AS PREDICTORS. [PDF]
Ann Appl Stat, 2015 Schofield LS.
europepmc +1 more source
Advanced Robotics Research, EarlyView.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
Advanced Robotics Research, EarlyView.We proposed a Mixed Reality Sensorized Laryngoscope Training System to provide real‐time holographic torque feedback during pediatric endotracheal intubation simulation. Visualization formats are evaluated to reduce tracking error and visual demand.
Jiaqi Li +5 more
wiley +1 more source
Modeling Psychological Attributes in Psychology - An Epistemological Discussion: Network Analysis vs. Latent Variables. [PDF]
Front Psychol, 2017 Guyon H, Falissard B, Kop JL.
europepmc +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
Advanced Robotics Research, EarlyView.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
Learning causal networks with latent variables from multivariate information in genomic data. [PDF]
PLoS Comput Biol, 2017 Verny L +4 more
europepmc +1 more source
Advanced Science, EarlyView.Perivascular matrix densification promotes the emergence of aberrant endothelial tip cells (ATECs) that invade and persist within fibrotic microenvironments. Using in vivo lineage tracing and a human microvessel model, this study shows that fibrous matrix cues destabilize VE‐cadherin–mediated junctions to gate TGF‐β signaling, inducing a pro ...
Jingyi Xia +17 more
wiley +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
Advanced Science, EarlyView.This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source