Results 191 to 200 of about 4,331,943 (376)

Node Reliability: Approximation, Upper Bounds, and Applications to Network Robustness [PDF]

arXiv
This paper discusses the reliability of a graph in which the links are perfectly reliable but the nodes may fail with certain probability p. Calculating graph node reliability is an NP-Hard problem. We introduce an efficient and accurate Monte Carlo method and a stochastic approximation for the node reliability polynomial based solely on the degree ...
arxiv  

Charging Ahead: The Evolution and Reliability of Nickel‐Zinc Battery Solutions

EcoMat
Nickel‐Zinc (Ni‐Zn) batteries offer an interesting alternative for the expanding electrochemical energy storage industry due to their high‐power density, low cost, and environmental friendliness.
Idris Temitope Bello, Hassan Raza, Alabi Tobi Michael, Madithedu Muneeswara, Neha Tewari, Wang Bingsen, Yin Nee Cheung, Zungsun Choi, Steven T. Boles   +8 more
doaj   +1 more source

Chapter VI: The Reliability of the Pneumography [PDF]

, 1948

openalex   +1 more source

Data-Driven Approximation of Binary-State Network Reliability Function: Algorithm Selection and Reliability Thresholds for Large-Scale Systems [PDF]

arXiv
Network reliability assessment is pivotal for ensuring the robustness of modern infrastructure systems, from power grids to communication networks. While exact reliability computation for binary-state networks is NP-hard, existing approximation methods face critical tradeoffs between accuracy, scalability, and data efficiency.
arxiv  

Evaluation of the Reliability of Coliform Density Tests

, 1958
Joseph A. McCarthy, Harold A. Thomas, John E. Delaney   +2 more
openalex   +2 more sources

Precision and Reliability of Underweight Measurement

, 1929
C. E. Turner
openalex   +2 more sources

INdustrial RELIABILITY [PDF]

, 1949

openalex   +1 more source

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang, Austen Maniscalco, David Sher, Mu‐Han Lin, Steve Jiang, Dan Nguyen   +5 more
wiley   +1 more source

IROC phantoms accurately detect MLC delivery errors

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose We evaluated the impact of random and whole‐bank multileaf collimator (MLC) delivery errors on dosimetric delivery accuracy in the Imaging and Radiation Oncology Core (IROC) phantom audits, as well as differences in delivery accuracy between the IROC phantom prescription and typical clinical fraction sizes.
Sharbacha S. Edward, Julianne M. Pollard‐Larkin, Peter A. Balter, Rebecca M. Howell, Christine B. Peterson, Stephen F. Kry   +5 more
wiley   +1 more source

Reliability from a system point of view [PDF]

, 1957
Alexander W. Boldyreff
openalex   +1 more source