日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Comprehensive Toughness Dataset of Nuclear Reactor Structural Materials using Charpy V-Notch Impact Testing

利用夏比V型缺口冲击试验测定核反应堆结构材料的综合韧性数据集

Lee, Isshu; Merickel, John W; Sreenivasulu, Yugandhar Kasala; Xu, Fei; Tang, Yalei; Rittenhouse, Joshua E; Vakanski, Aleksandar; Song, Rongjie

Dataset of tensile properties for sub-sized specimens of nuclear structural materials

核结构材料亚尺寸试样拉伸性能数据集

Li, Longze; Merickel, John W; Tang, Yalei; Song, Rongjie; Rittenhouse, Joshua E; Vakanski, Aleksandar; Xu, Fei

Empirical validation of size effects in sub-sized tensile specimens for nuclear structural materials

核结构材料亚尺寸拉伸试样尺寸效应的实证验证

Li, Longze; Merickel, John W; Tang, Yalei; Song, Rongjie; Rittenhouse, Joshua E; Vakanski, Aleksandar; Xu, Fei

Interpretable graph Kolmogorov-Arnold networks for multi-cancer classification and biomarker identification using multi-omics data

利用多组学数据构建可解释的图 Kolmogorov-Arnold 网络,用于多癌种分类和生物标志物识别

Alharbi, Fadi; Budhiraja, Nishant; Vakanski, Aleksandar; Zhang, Boyu; Elbashir, Murtada K; Guduru, Harshith; Mohammed, Mohanad

Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification

基于图神经网络的多组学整合在癌症分类中的比较分析

Alharbi, Fadi; Vakanski, Aleksandar; Zhang, Boyu; Elbashir, Murtada K; Mohammed, Mohanad

Do Sharpness-Based Optimizers Improve Generalization in Medical Image Analysis?

基于锐度的优化器能否提高医学图像分析的泛化能力?

Hassan, Mohamed; Vakanski, Aleksandar; Zhang, Boyu; Xian, Min

Automated Skin Cancer Report Generation via a Knowledge-Distilled Vision-Language Model

基于知识提炼视觉语言模型的皮肤癌自动报告生成

Chakrabarti, Lawhori; Zhang, Boyu; Tian, Hengyi; Vakanski, Aleksandar; Xian, Min

GCSAM: Gradient Centralized Sharpness Aware Minimization

GCSAM:梯度集中式锐度感知最小化

Hassan, Mohamed; Vakanski, Aleksandar; Zhang, Boyu; Xian, Min

Machine Learning for Additive Manufacturing of Functionally Graded Materials

机器学习在功能梯度材料增材制造中的应用

Karimzadeh, Mohammad; Basvoju, Deekshith; Vakanski, Aleksandar; Charit, Indrajit; Xu, Fei; Zhang, Xinchang

Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review

基于基因表达数据的癌症分类机器学习方法:综述

Alharbi, Fadi; Vakanski, Aleksandar