Results 131 to 140 of about 65,193 (256)
Human‐in‐the‐Loop Object Segmentation for 3D Gaussian Splatting via Finger‐based VR Interface
This study introduces a human‐in‐the‐loop segmentation framework for 3D Gaussian Splatting that integrates real‐time optimization with intuitive VR‐based finger prompting. Compared with existing automatic, learning‐based methods, it achieves significantly higher accuracy and reduced segmentation time.
Yongseok Lee +5 more
wiley +1 more source
Imaging Spectrum of Thoracic Outlet Syndrome: A Case Series Highlighting Arterial, Venous, and Neurogenic Subtypes. [PDF]
Utukuru N, Reddy B, Ramachandran R.
europepmc +1 more source
EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing
This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi +7 more
wiley +1 more source
A Machine Learning-Assisted Recognition and Compensation Method for UWB Ranging Errors in Complex Indoor Environments. [PDF]
Zhang J, Zhang G, Xu Y, Li Z, Wu H.
europepmc +1 more source
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
Lights, camera, occlusion! watch sickle cells in real time. [PDF]
Gurkan UA.
europepmc +1 more source
Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)
This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley +1 more source
The Visibility Principle and Charm Occlusion Dynamics
The Visibility Principle Experimental anomalies at particle colliders are not random deviations from an otherwise complete theory. They are the observable signatures of binding entropy release at the Higgs interaction arena, detectable precisely where competing occlusion pathways achieve maximum competition.
openaire +3 more sources
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Self-Information-Driven Gated Graph Convolutional Network for Occluded Person Re-Identification. [PDF]
Guo W, Meng J, Xue Y, Fan Y, Fang Z.
europepmc +1 more source

