-
141
-
142
The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer
Published 2024“…It is present in 15 to 20% of breast cancers and is clinically significant due to the availability of multiple anti-Her2 treatment options. …”
-
143
The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer
Published 2023“…It is present in 15 to 20% of breast cancers and is clinically significant due to the availability of multiple anti-Her2 treatment options. …”
Get full text
Get full text
Get full text
article -
144
A machine learning-based optimization approach for pre-copy live virtual machine migration
Published 2023“…To minimize such service downtime, it is critical to find an optimal time to migrate a virtual machine in the pre-copy approach. …”
-
145
Accelerating the Design of Photocatalytic Surfaces for Antimicrobial Application: Machine Learning Based on a Sparse Dataset
Published 2021“…This machine-learning-assisted strategy offers the opportunity to reduce the cost, labor, time, and precursors consumed during experiments that are based on trial and error. …”
-
146
-
147
Twitter matters for metaverse stocks amid economic uncertainty
Published 2023“…<p>The study examines the relationship between economic uncertainty, as measured by the Twitter-based economic uncertainty index (TEU), and Metaverse stocks across different time-frequency domains. …”
-
148
Effects of visual field impairment on driving
Published 2015“…The developed simulator based method presented below was driven by the purpose to be able to discriminate between individuals with and without visual deficits. …”
-
149
An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization
Published 2022“…In addition, the proposed reduced PSO-NN (RPSO-NN) technique not only enhances the results in terms of accuracy but also provides a significant reduction in computation time and storage cost by reducing the size of the training dataset and removing irrelevant and redundant samples. …”
-
150
-
151
Dynamic Properties of Water Confined in Graphene-Based Membrane: A Classical Molecular Dynamics Simulation Study
Published 2019“…We believe that our simulation results would be a significant contribution for designing a new graphene-based membrane for desalination.…”
-
152
SVM-based task admission control and computation offloading using lyapunov optimization in heterogeneous MEC network
Published 2022“…Results demonstrate high performance gains of the proposed solution that employs SVM-based task admission and Lyapunov-based computation offloading strategies. …”
Get full text
Get full text
Get full text
Get full text
article -
153
Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems
Published 2022“…The obtained results confirm the feasibility and effectiveness with a low computation time of the proposed approach for fault diagnosis.…”
-
154
-
155
-
156
Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment
Published 2023“…The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …”
-
157
-
158
Evaluation of the effects of standardization process of severe trauma treatment in China
Published 2015“…The emergency response time, pre-hospital transit time, emergency rescue time, consultation call time, and mortality rate of patients were 24.24±4.32, 45.69±3.89, 6.38±1.05, 17.53±0.72 minutes, and 33.82±3.87%, n=441,respectively before the Implementation of the standardization and significantly reduced to 10.11±3.21,22.39±4.32, 3.26±0.89, 3.45±0.45 minutes, and20.49±3.11 %, seperatly, n=495, (P<0.05) after that.…”
-
159
-
160
Targeting acute myeloid leukemia cells with novel photosensitive ruthenium-based metal-organic compounds. (c2015)
Published 2016“…In this study, we aim to establish a ruthenium-based model for effectively targeting AML, with the goal of later developing approaches to selectively target AML with complexes based on this model. …”
Get full text
Get full text
masterThesis