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Toplam kayıt 546, listelenen: 211-220
A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning
(Elsevier Science Inc, 2023)
This survey aims to identify commonly used methods, datasets, future trends, knowledge gaps, constraints, and limitations in the field to provide an overview of current solutions used in medical image analysis in parallel ...
Generalized complete orthonormal sets of Exponential-Type functions
(Elsevier, 2023)
New generalized complete orthonormal sets of psi((alpha*,mu))-exponential type functions are described and applied to LCAO calculations for the total energies of atomic systems within the framework of the minimal basis ...
Features of patients newly diagnosed pulmonary embolism during COVID pneumonia
(European Respiratory Soc Journals Ltd, 2021)
[Abstract Not Available]
Residual CNN plus Bi-LSTM model to analyze GPR B scan images
(Elsevier, 2021)
In this study, the residual Convolutional Neural Network (CNN) with the Bidirectional Long Short Time Memory (Bi-LSTM) model has proposed for the analysis of Ground Penetrating Radar B scan (GPR B Scan) images. GPR ...
Effect of long-term stress aging on aluminum-BFRP hybrid adhesive joint's mechanical performance: Static and dynamic loading scenarios
(Wiley, 2022)
Composite-aluminum hybrid adhesive joints represent an ideal solution for designing lightweight structures for the marine industry. However, seawater aging is a serious concern, limiting the safe service life of the joint. ...
Effects of tele-education given based on the health belief model on mode of delivery tendencies in pregnant women
(Routledge Journals, Taylor & Francis Ltd, 2022)
Background Cesarean sections, which have a high risk of maternal and neonatal complications and increase health expenditures, have become a global problem. Hence, it is extremely important to encourage women to have normal ...
Prediction of geodetic point velocity using MLPNN, GRNN, and RBFNN models: a comparative study
(Springer, 2021)
The prediction of an accurate geodetic point velocity has great importance in geosciences. The purpose of this work is to explore the predictive capacity of three artificial neural network (ANN) models in predicting geodetic ...
Parametric, response surface, and adjoint optimizations of the underbody diffuser of a generic ground vehicle
(Wiley, 2023)
It is a known fact in the literature that diffusers improve vehicle aerodynamics in terms of lift and drag forces. However, their effectiveness and efficiencies are quite sensitive to the design parameters. In this article, ...
Chaotic hunger games search optimization algorithm for global optimization and engineering problems
(Elsevier, 2022)
Chaotic maps have the characteristics of ergodicity and non-repeatability. Owing to these properties, they provide fast convergence by effectively scanning the search space in a metaheuristic optimization algorithm. The ...
Assessment of damage tolerance of bolted composite structures via bearing-after-impact tests
(Wiley, 2022)
Although bolted composite joints are mainly designed to resist bearing loading, dynamic loading such as low-velocity impact can also be a severe threat because of its potential to reduce joint reliability. Surprisingly, ...