Results 1 to 10 of about 4,785,942 (298)

Design of Ellipsoid and Spherical Combined Light Source for Uniform Flux and Color Mixing

open access: yesIEEE Photonics Journal, 2019
In this letter, an ellipsoid–spherical combined light source structure is presented for the purpose of uniform flux and color mixing, when considering heat dissipation.
Rui-Min Zeng   +8 more
doaj   +1 more source

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

open access: yesMachines
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   +6 more
doaj   +1 more source

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

open access: yesFrontiers 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   +11 more
doaj   +1 more source

The impact of feature selection techniques on effort‐aware defect prediction: An empirical study

open access: yesIET Software, 2023
Effort‐Aware Defect Prediction (EADP) methods sort software modules based on the defect density and guide the testing team to inspect the modules with high defect density first. Previous studies indicated that some feature selection methods could improve
Fuyang Li   +5 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

open access: yesSensors
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 defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machine

open access: yesIET Software, 2022
Software defect prediction is an important software quality assurance technique. Nevertheless, the prediction performance of the constructed model is easily susceptible to irrelevant or redundant features in the software projects and is not predominant ...
Nana Zhang   +3 more
doaj   +1 more source

Classification of Software Reliability Models to Improve the Reliability of Software

open access: yesIndian 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

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

open access: yesBioengineering
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

Software reliability prediction [PDF]

open access: yes
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

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

open access: yesEnergies
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   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy