Results 31 to 40 of about 678,049 (166)

A Hybrid Reverse Learning Particle Swarm Optimization Method for Aircraft Maintenance Scheduling Based on the Resource-Constrained Project Scheduling Problem Model

Machines
Aircraft maintenance scheduling is a critical task in air transportation and national defense security, characterized by complex multi-step procedures, strict precedence dependencies, and multi-resource constraints involving personnel skills and ...
Jiyan Zeng, Yujie Cheng, Chen Lu, Zili Wang, Xuanbo Liu, Xinwei Wang, Dengwei Song   +6 more
doaj   +1 more source

Federated semi-supervised learning based on feature alignment and knowledge distillation

Frontiers in Physics
IntroductionRecently, federated learning has been successfully applied in fields related to cyber-physical-social systems (CPSSs), owing to its ability to harness decentralized clients for training a global model while ensuring data privacy. The existing
Zhe Ding, Zhe Ding, Hao Yi, Hao Yi, Wenrui Xie, Wenrui Xie, Yuxuan Xiao, Qixu Wang, Qixu Wang, Qing Chen, Zhiguang Qin, Dajiang Chen   +11 more
doaj   +1 more source

Scatter Removal in Photon-Counting Dual-Energy Chest X-Ray Imaging Using a Moving Block Method: A Simulation Phantom Study

Sensors
This work investigates the impact of scatter correction on photon-counting dual-energy chest radiography using a moving block method, focusing on quantifying improvements with the IEC 62220-2-1 dual-energy metrics.
Bahaa Ghammraoui, Yee Lam Elim Thompson
doaj   +1 more source

Software reliability prediction [PDF]

Two methods are proposed to find the maximum likelihood parameter estimates of a number of software reliability models. On the basis of the results from analysing 7 sets of real data, these methods are found to be both efficient and reliable.\ud \ud The simple approach of adapting software reliability predictions by Keiller and Littlewood (1984) can ...
openaire   +7 more sources

Evaluating Machine Learning-Based MRI Reconstruction Using Digital Image Quality Phantoms

Bioengineering
Quantitative and objective evaluation tools are essential for assessing the performance of machine learning (ML)-based magnetic resonance imaging (MRI) reconstruction methods. However, the commonly used fidelity metrics, such as mean squared error (MSE),
Fei Tan, Jana G. Delfino, Rongping Zeng
doaj   +1 more source

Classification of Software Reliability Models to Improve the Reliability of Software

Indian Journal of Science and Technology, 2015
Background/Objectives: The main objective is to present a classification of reliability models that would be useful in determining which of the existing model to use in a given software development environment. Methods/Statistical Analysis: In this research importance is given on comparison of existing software reliability models. The analytical models
G. Gayathry, R. Thirumalai Selvi
openaire   +1 more source

Experimental Study and Rheological Modeling of Water-Based and Oil-Based Drilling Fluids Under Extreme Temperature–Pressure Condition

Energies
With the growing demand for energy, oil and gas exploration and development are progressively moving into deep and ultra-deep formations, where extreme temperatures and pressures create complex challenges for drilling operations.
Haishen Lei, Chun Cai, Baolin Zhang, Jing Luo, Ping Chen, Dong Xiao   +5 more
doaj   +1 more source

Observer Performance in the Use of Digital and Optical Microscopy for the Interpretation of Tissue-Based Biomarkers

Analytical Cellular Pathology, 2014
Background. We conducted a validation study of digital pathology for the quantitative assessment of tissue-based biomarkers with immunohistochemistry. Objective.
Marios A. Gavrielides, Catherine Conway, Neil O’Flaherty, Brandon D. Gallas, Stephen M. Hewitt   +4 more
doaj   +1 more source

Software Reliability for Agile Testing

Mathematics, 2020
It is known that quantitative measures for the reliability of software systems can be derived from software reliability models, and, as such, support the product development process.
Willem Dirk van Driel, Jan Willem Bikker, Matthijs Tijink, Alessandro Di Bucchianico   +3 more
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A SOFTWARE RELIABILITY ESTIMATION METHOD TO NUCLEAR SAFETY SOFTWARE

Nuclear Engineering and Technology, 2014
A method for estimating software reliability for nuclear safety software is proposed in this paper. This method is based on the software reliability growth model (SRGM), where the behavior of software failure is assumed to follow a non-homogeneous ...
GEE-YONG PARK, SEUNG CHEOL JANG
doaj   +1 more source