Results 121 to 130 of about 327,842 (293)

Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal, Austen Maniscalco, Justin Visak, Michael Dohopolski, Dominic Moon, Vladimir Avkshtol, Dan Nguyen, Steve Jiang, David Sher, Mu‐ Han Lin   +9 more
wiley   +1 more source

Understanding and Evaluating Engineering Creativity:Development and Validation of the Engineering Creativity Assessment Tool (ECAT) [PDF]

arXiv
Creativity is essential in engineering education, enabling students to develop innovative and practical solutions. However, assessing creativity remains challenging due to a lack of reliable, domain-specific tools. Traditional assessments like the Torrance Tests of Creative Thinking (TTCT) may not fully capture the complexity of engineering creativity.
arxiv  

On the Publication of the Special Number on Reliability of Mechanical Engineering

, 1971
Taro Shimogo, Hiroyuki Okamura
openalex   +2 more sources

On engineering reliability concepts and biological aging [PDF]

, 2006
Maxim Finkelstein
openalex   +1 more source

Stereotactic radiotherapy for metastatic brain tumors: A comparative analysis of dose distributions among VMAT, Helical TomoTherapy, CyberKnife, Gamma Knife, and ZAP‐X

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract This study evaluates various radiotherapy techniques for treating metastatic brain tumor (BT), focusing on non‐coplanar volumetric modulated arc radiotherapy (NC‐VMAT), coplanar VMAT (C‐VMAT), Helical TomoTherapy (HT), CyberKnife (CK), Gamma Knife (GK), and ZAP‐X.
Toshihiro Suzuki, Masahide Saito, Ryutaro Nomura, Hikaru Nemoto, Naoto Yanagisawa, Ryuma Sawada, Zennosuke Mochizuki, Naoki Sano, Hiroshi Onishi, Hiroshi Takahashi   +9 more
wiley   +1 more source

Human-Reliability on Plant Safety under Seismic Conditions(Safety and Reliability in Mechanical Engineering -Philosophy and Technology)

, 1987
Heki Shibata
openalex   +2 more sources

Impact of bulk density assignment of bone on MRI‐based abdominal region radiotherapy planning for MR‐linac workflow

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The purpose of the present study was to evaluate the impact of bone relative electron density (rED) assignment on radiotherapy planning for the abdominal region. Methods Twenty patients who received abdominal radiotherapy using MR‐Linac and underwent magnetic resonance imaging (MRI) and computed tomography (CT) simulation were analyzed.
Kota Abe, Masato Tsuneda, Yukio Fujita, Yukinao Abe, Takashi Uno   +4 more
wiley   +1 more source

A Variational Beam Model for Failure of Cellular and Truss‐Based Architected Materials

Advanced Engineering Materials, EarlyView., 2023
Herein, a versatile and efficient beam modeling framework is developed to predict the nonlinear response and failure of cellular, truss‐based, and woven architected materials. It enables the exploration of their design space and the optimization of their mechanical behavior in the nonlinear regime. A variational formulation of a beam model is presented
Konstantinos Karapiperis, Kaoutar Radi, Zifan Wang, Dennis M. Kochmann   +3 more
wiley   +1 more source

Reliability management methods for welded joints of railway vehicle bogie frames

Nihon Kikai Gakkai ronbunshu
The load on bogie frames for railway vehicles in service varies greatly, which requires careful consideration of both variability and uncertainty in load and material strength when assessing the fatigue life of welded joints.
Yoshihiro OTANI, Masahiro TAKANASHI, Makoto TOYODA, Shinsuke SAKAI   +3 more
doaj   +1 more source

Reliability, Resilience and Human Factors Engineering for Trustworthy AI Systems [PDF]

arXiv
As AI systems become integral to critical operations across industries and services, ensuring their reliability and safety is essential. We offer a framework that integrates established reliability and resilience engineering principles into AI systems. By applying traditional metrics such as failure rate and Mean Time Between Failures (MTBF) along with
arxiv