聚合搜Scholar - 壹搜网为您找到"

Pytorch 刷 题

"相关结果 10条

Deep learning-based upsampling of 2D detector array measurements for patient plan verification in radiotherapy.

Detector arrays are commonly used for treatment plan verifications in intensity modulated radiation therapy. However, the intrinsic resolution of detector arrays is limited by the physical dimensions of each single detector and the detector-to-detector distance. This may lead to inaccurate representations of steep gradients and narrow dose peaks.
www.ncbi.nlm.nih.gov

创新创业导向的专业课程体验式教学设计——以高职印媒体技术专业为例

如何通过实践体验促进学生掌握专业相关知识与技能,培养创新创业意识,使其更好适应实际工作岗位,是如今高职教育的重要命。本文对高职印技术专业课程进行了创新创业视角下的体验式教学设计,并通过具体教学流程的实施来探讨该模式应用的有效性。
doi.org

Optimizing Selective RF Pulses for Enhanced Signal Stability in Turbo Spin Echo Using a Differentiable Extended Phase Graph Model.

To improve slice profile consistency across echo trains in turbo spin echo (TSE) imaging, thereby reducing image blurring and increasing the accuracy of multi echo spin echo
www.ncbi.nlm.nih.gov

[Construction of a prognosis forecasting model for immuno-therapy response in cancer patients by integrating routine clinical parameters and tumor mutational burden].

To develop a machine-learning model that integrates routine clinical parameters with tumor mutational burden (TMB) and to evaluate its performance in predicting responses to programmed death-1 (PD-1)/programmed death-ligand 1(PD-L1) inhibitors across various cancer types.
www.ncbi.nlm.nih.gov

Utilization of machine learning in diagnosis of postural tachycardia syndrome (POTS).

Postural orthostatic tachycardia syndrome (POTS) is a common autonomic disorder characterized by orthostatic intolerance and excessive tachycardia upon standing. Despite its prevalence, POTS is often underdiagnosed or diagnosed late, largely due to limited access to autonomic specialists and testing. This study aimed to evaluate the performance of machine learning (ML) models in diagnosing POTS using validated symptom surveys and physiological measurements.
www.ncbi.nlm.nih.gov

2005年—2015年:新起点 新征程——海德堡上海印媒体中心开幕暨青浦工厂10周年庆

10月29日—30日,主为"未来跃然纸上"的海德堡上海印媒体中心开幕仪式暨青浦工厂10周年庆在海德堡青浦工厂举行,600余名来自全国各地及亚太区的客户、印业人士参加了本次活动。北京、上海、台湾及亚太区的行业媒体记者20余人参加了29日下午的开幕仪式新闻发布会。
www.semanticscholar.org

Automatic acromegaly detection using deep learning on hand images: a multicenter observational study.

Acromegaly poses clinical challenges in terms of early diagnosis and intervention. Therefore, the development of novel diagnostic tools is essential. Although artificial intelligence (AI) models based on external appearance have been proposed, privacy concerns have limited their use.
www.ncbi.nlm.nih.gov

Acceleration of Non-Linear Minimisation with PyTorch

I show that a software framework intended primarily for training of neural networks, PyTorch, is easily applied to a general function minimisation problem in science. The qualities of PyTorch of ease-of-use and very high efficiency are found to be applicable in this domain and lead to two orders of magnitude improvement in time-to-solution with very small software engineering effort.
arxiv.org

高职印技术专业课程体系的探索——基于“双证深度融通”模式

“双证融通”是当前职业教育改革中的重要课,是培养高技能实用型人才的重要途径。由于受一些因素的影响,高职院校推行“双证制度”的工作还不尽如意。本文通过调查研究,深入分析双证实施过程中存在的问及影响因素,进而构建双证深度融合的印技术专业课程体系。
www.semanticscholar.org

Torchattacks: A PyTorch Repository for Adversarial Attacks

Torchattacks is a PyTorch library that contains adversarial attacks to generate adversarial examples and to verify the robustness of deep learning models. The code can be found at https://github.com/Harry24k/adversarial-attacks-pytorch.
arxiv.org