Results 1 to 10 of about 4,785,942 (298)
Design of Ellipsoid and Spherical Combined Light Source for Uniform Flux and Color Mixing
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
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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
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Federated semi-supervised learning based on feature alignment and knowledge distillation
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
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The impact of feature selection techniques on effort‐aware defect prediction: An empirical study
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
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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
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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
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Classification of Software Reliability Models to Improve the Reliability of Software
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
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Evaluating Machine Learning-Based MRI Reconstruction Using Digital Image Quality Phantoms
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
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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 ...
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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
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