Results 201 to 210 of about 5,224,034 (249)
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Effect of different osteotome surgical protocols on primary implant stability in poor quality bone: an ex vivo study. [PDF]
Ferreira AJ +4 more
europepmc +1 more source
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley +1 more source
Reconstruction of an orbital fracture in a mare using a 3D-printed patient-specific implant. [PDF]
Gernhardt J +5 more
europepmc +1 more source
Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja +2 more
wiley +1 more source
A Multistage Venturi Amplifier for Rapid Inflation of Soft Robots
This work presents the amplifier inflator for soft robotic systems (AIRS), a compact, lightweight, and effective device for rapidly deploying inflatable structures to high pressure. By integrating a check valve with a Venturi‐based air entrainer, AIRS delivers an initial high‐flow output followed by pressurization, supporting fast inflation and ...
Saba Firouznia +4 more
wiley +1 more source
Deep learning-based automated positioning system for maxillary skeletal expander: development and clinical validation. [PDF]
Pan J +8 more
europepmc +1 more source
Accelerating Musculoskeletal Robotics Through Parametric Design and 3D‐Printed Flexible Structures
Parametric design and flexible 3D printing create muscle‐, tendon‐, ligament‐, and cushion‐like robotic elements from a single thermoplastic polyurethane material. Tuning lattice patterns adjusts regional mechanical properties and enables coordinated multijoint motions in a life‐sized musculoskeletal leg under external suspension, with partial body ...
Shunnosuke Yoshimura +2 more
wiley +1 more source
A double-crystal bent Laue parallel-beam compressor. [PDF]
Rhoades G, Chapman LD.
europepmc +1 more source
Hardware‐learning co‐design combines volar‐plate‐inspired passive‐joint constraints with mechanism‐aware reinforcement learning for a low‐cost parallel‐linkage gripper. The resulting system performs quasi‐static object adjustment and dynamic pinch grasping, demonstrating reliable planar in‐hand manipulation and successful sim‐to‐real transfer. Parallel
Yanzhou Jin +4 more
wiley +1 more source

