Machinelearning相关论文
Machine learning algorithm as a prognostic tool for Epstein-Barr virus reactivation after haploident
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Machine Learning-Based Scoring System for Early Prognosis Evaluation of Patients with Coronavirus Di
Background:Theglobalspreadofcoronavirusdisease2019(COVID-19)continuestothreatenhumanhealthsecurity,exertingconsiderablep......
Machine learning approach for label-free rapid detection and identification of virus using Raman spe
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目的:探讨结合患者临床信息和CT特征构建的基于机器学习的非参数诊断模型判定多发肺结节中实性结节性质的效力。方法:回顾性收集北......
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Cracks are accounted as the most destructive discontinuity in rock,soil,and concrete.Enhancing our knowledge from their ......
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Learning-based methods have been proved to perform well in a variety of areas in the biomedical field, such as biomedica......
提出一种基于马尔科夫链蒙特卡罗(MCMC)框架的子图学习方法,该方法通过构建马尔科夫链实现子图在状态空间中的迭代,最终得到用于匹......
基于机器学习的思想并充分利用外观信息,提出一种在线选择纹理和形状特征的混合随机朴素贝叶斯视觉跟踪器。构造归一化空间金字塔,......
提出了一种基于深度神经网络的提高材料去除模型精度的策略。提出一种具有特征选择能力的深度学习算法。在机器人抛光的材料去除率......
Identification of oral squamous cell carcinoma in optical coherence tomography images based on textu
Surgical excision is an effective treatment for oral squamous cell carcinoma (OSCC), but exact intraoperative differenti......
采集新疆渭干河-库车河典型绿洲96个表层土样,测量其光谱反射率和土壤有机碳(SOC)含量,采用分数阶微分技术(阶数的取值范围为0～2,步......
针对从二维彩色图像中恢复深度信息的问题,提出一种基于视觉词典的深度图生成算法。采用基于数据驱动的方法,从包含深度图的深度图......
We accurately reconstruct three-dimensional(3-D) refractive index(RI) distributions from highly ill-posed two-dimensiona......
一次性口罩的分类识别在法庭科学物证鉴别中具有重要意义,因此,提出了一种基于拉曼光谱和机器学习的一次性口罩分类识别方法。首先......
A simple and effective interference-fading tolerant method for phase-sensitive optical time-domain reflectometry (Φ-OTD......
提出了一种基于机器学习参数校正的极紫外光刻三维含缺陷掩模仿真方法。本方法采用随机森林、K近邻等机器学习方法,对基于结构分解......
介绍了一种将反向传播(BP)神经网络算法与人工蜂群算法相结合的方法,并用该方法对多泵浦拉曼光纤放大器的设计进行了优化。通过研......
随着无线通信领域的发展,具有诸多优点的可见光通信(VLC)已经发展成为了一种具有广阔前景的通信手段。然而,可见光通信中的各种非......
针对现有视频图像火灾检测算法前景信息丢失严重、误报率高、泛化能力弱等问题,提出一种新的火灾检测算法。其主要由前景提取和分......
基于轨道角动量(OAM)的自由空间光学通信被认为是很有前景的下一代通信应用,为了实现OAM复用通信,需要突破的关键技术之一就是接收......
Adaptive optics has been widely used in biological science to recover high-resolution optical image deep into the tissue......
Faster RCNN在小目标的检测方面准确度和鲁棒性性能不够理想。为此,提出一种改进Faster RCNN对马克杯缺陷进行检测,将Faster RCNN......
Digital holography records the entire wavefront of an object, including amplitude and phase. To reconstruct the object n......
A key concept underlying the specific functionalities of metasurfaces is the use of constituent components to shape the ......
Novel Hemorrhagic Risk Score in Elderly Patients with Coronary Artery Disease and Gastrointestinal M
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Infestation risk of the intermediate snail host of Schistosoma japonicum in the Yangtze River Basin:
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Identification of genome-wide nucleotide sites associated with mammalian virulence in influenza A vi
The virulence of influenza viruses is a complex multigenic trait. Previous studies about the virulence determinants of i......
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Prediction of fatal adverse prognosis in patients with fever-related diseases based on machine learn
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目的探讨采用深度学习技术提升内镜医师在窄带光成像(narrow band imaging，NBI)下判断结直肠息肉性质准确率的价值。方法收集武汉大......
Arabic(Arabic:(Ejzl)，al-arabīyah,(czjc),arabīy)is a Semitic language which is the liturgical language of1.8billion spea......
视觉对人类具有至关重要的意义，图像在人类生活中广泛分布。因此，图像处理被广泛应用于遥感，军事，医疗等领域。如今，人们很容易通过数字......
目的探索对丙泊酚药物浓度和意识状态改变敏感的脑功能特征。方法选择拟行胸腹部手术治疗的男性患者6例，对所有患者使用靶控输注设......
目的通过机器学习算法挖掘常规检验大数据构建结直肠癌（CRC）风险预测模型。方法收集长海医院2013年1月1日至2019年6月30日结肠镜检查......
人工智能技术在检验医学领域的应用现已显示出了巨大潜力，但也面临着诸多挑战和困境。了解人工智能的基本原理、评价方法、应用场景......
随着第四次工业革命的发展，自动化、智能化的人工智能对检验分析前、中、后过程的影响不断加大。人工智能应用于通过提高自动化程度......
基于算法学习数据内部规律，进而对同类数据进行预测和判断的过程为机器学习。在体外受精-胚胎移植技术领域，基于机器学习算法建立的......
