Results 121 to 130 of about 407,217 (307)

Evaluating robotic assistance on the learning curve and efficiency of mandibular angle ostectomy: an animal model study

open access: yesFrontiers in Surgery
IntroductionThis study evaluated the efficacy and learning curve of a maxillofacial surgical robotic system (MSRS) guided by electromagnetic navigation for mandibular angle ostectomy (MAO), compared to traditional surgical methods.MethodsThe study ...
Wenqing Han   +6 more
doaj   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

Learning Curve

open access: yesTransatlantica, 2012
Mary Caponegro
doaj   +1 more source

Evaluating the Role of Robotic Surgery Gastric Cancer Treatment: A Comprehensive Review by the Robotic Global Surgical Society (TROGSS) and European Federation International Society for Digestive Surgery (EFISDS) Joint Working Group

open access: yesCurrent Oncology
Introduction: Robot-assisted minimally invasive gastrectomy (RAMIG) represents a significant advancement in the surgical management of gastric cancer, offering superior dexterity, enhanced visualization, and improved ergonomics compared to laparoscopic ...
Luigi Marano   +28 more
doaj   +1 more source

Learning by Doing [PDF]

open access: yes
This paper reviews the theoretical and empirical literature on learning by doing. Many of the distinctive theoretical implications of learning by doing have been derived under the assumption that the cost-quantity relationships observed in numerous ...
Peter Thompson
core  

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

Learning Curve on Lymph Nodes Retrieval and Postoperative Length of Hospital Stay in Robotic Rectal Cancer: A Retrospective, Observational Study

open access: yesHealth Science Reports
Background and Aims Robotic rectal cancer surgery has been introduced to reduce the difficulty and complications of the procedure. This study aims to assess the learning curve for robotic rectal cancer of individual surgeons with extensive laparoscopic ...
Yan Yang   +5 more
doaj   +1 more source

Unilateral Biportal Endoscopic Spinal Surgery: Comparing Clinical Outcomes and Learning Curves between Novice and Experienced Surgeons

open access: yesFormosan Journal of Musculoskeletal Disorders
Background: Degenerative lumbar spinal stenosis can lead to neurological problems that may require surgical decompression. Recently, unilateral biportal endoscopy (UBE) is a novel, minimally invasive technique that can achieve effective decompression ...
Shou-En Cheng   +2 more
doaj   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

open access: yesAdvanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice   +2 more
wiley   +1 more source

Learning-by-Doing, Organizational Forgetting, and Industry Dynamics [PDF]

open access: yes
Learning-by-doing and organizational forgetting have been shown to be important in a variety of industrial settings. This paper provides a general model of dynamic competition that accounts for these economic fundamentals and shows how they shape ...
Mark Satterthwaite   +3 more
core  

Home - About - Disclaimer - Privacy