检索结果-内蒙古大学图书馆

Joint Deep Matching Model of OCT Retinal Layer Segmentation

Computers, Materials & Continua 2020年第6期63卷 1485-1498页

作者： Mei Yang Yuanjie Zheng Weikuan Jia Yunlong He Tongtong Che Jinyu Cong School of Information Science and Engineering at Shandong Normal University Jinan250358China Key Lab of Intelligent Computing and Information Security in Universities of Shandong Shandong Provincial Key Laboratory for Novel Distributed Computer Software TechnologyInstitute of Biomedical SciencesShandong Normal UniversityJinan250358China INSA Lyon University of LyonCNRSInsermVilleurbanne69621 CedexFrance

Optical Coherence Tomography(OCT)is very important in medicine and provide useful diagnostic *** retinal layer thicknesses plays a vital role in pathophysiologic factors of many ocular *** the existing retinal layer segmentation approaches,learning or deep learning-based methods belong to the ***,most of these techniques rely on manual-marked layers and the performances are limited due to the image *** order to overcome this limitation,we build a framework based on gray value curve matching,which uses depth learning to match the curve for semi-automatic segmentation of retinal layers from *** depth convolution network learns the column correspondence in the OCT image *** whole OCT image participates in the depth convolution neural network operation,compares the gray value of each column,and matches the gray value sequence of the transformation column and the next *** this algorithm,when a boundary point is manually specified,we can accurately segment the boundary between retinal *** experimental results obtained from a 54-subjects database of both normal healthy eyes and affected eyes demonstrate the superior performances of our approach.

关键词： OCT retinal segmentation deep learning 1D convolution

来源：评论

学校读者我要写书评

暂无评论

Tele-AR system based on real-time camera tracking

Tele-AR system based on real-time camera tracking

引用

2012 International Conference on Virtual Reality and Visualization, ICVRV 2012

作者： Wang, Yanke Zhong, Fan Li, Chao Xiang, Hui Peng, Qunsheng Qin, Xueying School of Computer Science and Technology Shandong University Jinan China Shandong Provincial Key Laboratory of Network Based Intelligent Computing Jinan China State Key Lab. of CAD and CG Zhejiang University Hangzhou China

ISBN: (纸本)9780769548364

We propose a visual tele-AR system, which is a combination of tele-existence and AR techniques. By wearing a video see-through HMD and moving his head, a user in this system is able to tele-operate a remote pan-tilt platform to observe the remote scene. Unlike traditional tele-existence systems which use mechanical or magnetic sensors for tele-operation, we propose a novel tele-operation method based on real-time tracking of master and slave cameras. The master camera is a component of the video see-through HMD mounted in front of user's eyes, while the slave camera is carried by a remote platform. We estimate use's head motion by tracking the master camera in real time, and translate head motions into motion commands to drive the remote pan-tilt platform. Ideally, motion of the remote platform will be exactly the same as user's head. Unfortunately, motion speed of the slave platform is usually limited by their mechanical capability, which may cause pose inconsistence between master and slave cameras, especially when user's head moves fast. We solve this problem by also tracking slave camera in real time, and warping video images according to difference between master and slave camera pose. Since slave camera is tracked, we can integrate virtual objects into remote scene, giving the user an augmented visual sense. To reduce system delay, our implementation is accelerated GPU parallel computation. Experimental results show the efficiency and robustness of our method. © 2012 IEEE.

关键词： Augmented reality

来源：评论

学校读者我要写书评

暂无评论

A Novel Approach for State of Health Estimation and Remaining Useful Life Prediction of Supercapacitors Using an Improved Honey Badger Algorithm Assisted Hybrid Neural Network

引用

Protection and Control of Modern Power Systems 2024年第6期9卷 1-18页

作者： Zhenxiao Yi Shi Wang Zhaoting Li Licheng Wang Kai Wang the School of Electrical Engineering Qingdao UniversityQingdao 266071Chinaand the State Key Laboratory of Reliability and Intelligence of Electrical EquipmentHebei University of TechnologyTianjin 300130China the Key Laboratory of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190China the School of Engineering Brown UniversityProvidenceRhode Island 02912USA the School of Information Engineering Zhejiang University of TechnologyHangzhou 310014China the School of Electrical Engineering Qingdao UniversityQingdao 266071China

Supercapacitors(SCs)are widely recognized as excellent clean energy storage *** state of health(SOH)estimation and remaining useful life(RUL)prediction are essential for ensuring their safe and reliable *** paper introduces a novel method for SOH estimation and RUL prediction,based on a hybrid neural network optimized by an improved honey badger algorithm(HBA).The method combines the advantages of convolutional neural network(CNN)and bidirectional long-short-term memory(BiLSTM)neural *** HBA optimizes the hyperparameters of the hybrid neural *** CNN automatically extracts deep features from time series data and reduces dimensionality,which are then used as input for the ***,recurrent dropout is introduced in the recurrent layer to reduce overfitting and facilitate the learning *** approach not only improves the accuracy of estimates and forecasts but also significantly reduces data processing *** under different working conditions are used to validate the proposed *** results show that the proposed hybrid model effectively extracts features,enriches local details,and enhances global perception *** proposed hybrid model outperforms single models,reducing the root mean square error to below 1%,and offers higher prediction accuracy and robustness compared to other methods.

关键词： Supercapacitors state of health remaining useful life honey badger algorithm recurrent dropout.

来源：评论

学校读者我要写书评

暂无评论

AlphaFold2 and its applications in the fields of biology and medicine

引用

Signal Transduction and Targeted Therapy 2023年第4期8卷 1630-1643页

作者： Zhenyu Yang Xiaoxi Zeng Yi Zhao Runsheng Chen West China Biomedical Big Data Center West China HospitalSichuan UniversityChengdu 610041China Key Laboratory of Intelligent Information Processing Advanced Computer Research CenterInstitute of Computing TechnologyChinese Academy of SciencesBeijing 100190China Key Laboratory of RNA Biology Center for Big Data Research in HealthInstitute of BiophysicsChinese Academy of SciencesBeijing 100101China Pingshan Translational Medicine Center Shenzhen Bay LaboratoryShenzhen 518118China

AlphaFold2(AF2)is an artificial intelligence(AI)system developed by DeepMind that can predict three-dimensional(3D)structures of proteins from amino acid sequences with atomic-level *** structure prediction is one of the most challenging problems in computational biology and chemistry,and has puzzled scientists for 50 *** advent of AF2 presents an unprecedented progress in protein structure prediction and has attracted much *** release of structures of more than 200 million proteins predicted by AF2 further aroused great enthusiasm in the science community,especially in the fields of biology and ***2 is thought to have a significant impact on structural biology and research areas that need protein structure information,such as drug discovery,protein design,prediction of protein function,et *** the time is not long since AF2 was developed,there are already quite a few application studies of AF2 in the fields of biology and medicine,with many of them having preliminarily proved the potential of *** better understand AF2 and promote its applications,we will in this article summarize the principle and system architecture of AF2 as well as the recipe of its success,and particularly focus on reviewing its applications in the fields of biology and *** of current AF2 prediction will also be discussed.

关键词： system fields Fold

来源：评论

学校读者我要写书评

暂无评论

DNA computing model based on lab-on-a-chip and its application on solving the timetabling problem

引用

Progress in Natural Science:Materials International 2008年第5期18卷 633-637页

作者： Fengyue Zhang a,1, Bo Liu b,1, Wenbin Liu c, Qiang Zhang d a Department of biomedical Engineering, School of Life Science and technology, Beijing Institute of technology, Beijing 100081, China b Chinese Academy of Inspection and Quarantine, Beijing 100029, China c College of Computer Science and Engineering, Wenzhou University, Wenzhou, zhejiang 325027, China d Liaoning key laboratory of intelligent Information Processing, Dalian University, Dalian, Liangning 116622, China Department of Biomedical Engineering School of Life Science and Technology Beijing Institute of Technology Beijing 100081 China Chinese Academy of Inspection and Quarantine Beijing 100029 China College of Computer Science and Engineering Wenzhou University Wenzhou Zhejiang 325027 China Liaoning Key Laboratory of Intelligent Information Processing Dalian University Dalian Liangning 116622 China

The essential characteristic of DNA computation is its massive parallelism in obtaining and managing information. With the develop- ment of molecular biology technique, the eld of DNA computation has made a great progress. By using an advanced biochip technique, laboratory-on-a-chip, a new DNA computing model is presented in the paper to solve a simple timetabling problem, which is a special ver- sion of the optimization problems. It also plays an important role in education and other industries. With a simulated biological experiment, the result suggested that DNA computation with lab-on-a-chip has the potential to solve a real complex timetabling problem.

关键词： DNA computing Timetabling problem Lab-on-a-chip

来源：评论

学校读者我要写书评

暂无评论

Moiré cavity quantum electrodynamics

引用

Science Advances 2025年第21期11卷 eadv8115页

作者： Yu-Tong Wang Qi-Hang Ye Jun-Yong Yan Yufei Qiao Yu-Xin Liu Yong-Zheng Ye Chen Chen Xiao-Tian Cheng Chen-Hui Li Zi-Jian Zhang Cheng-Nian Huang Yun Meng Kai Zou Wen-Kang Zhan Chao Zhao Xiaolong Hu Clarence Augustine T. H. Tee Wei E. I. Sha Zhixiang Huang Huiyun Liu Chao-Yuan Jin Lei Ying Feng Liu State Key Laboratory of Extreme Photonics and Instrumentation College of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 China. School of Physics Zhejiang Key Laboratory of Micro-nano Quantum Chips and Quantum Control Zhejiang University Hangzhou 310027 China. International Joint Innovation Center Zhejiang University Haining 314400 China. School of Precision Instrument and Optoelectronic Engineering Tianjin University Tianjin 300072 China. Key Laboratory of Optoelectronic Information Science and Technology Ministry of Education Tianjin 300072 China. Laboratory of Solid State Optoelectronics Information Technology Institute of Semiconductors Chinese Academy of Sciences Beijing 100083 China. College of Materials Science and Opto-Electronic Technology University of Chinese Academy of Science Beijing 101804 China. College of Physics and Electrical Information Engineering Zhejiang Normal University Hangzhou 310058 China. Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China. Department of Electronic and Electrical Engineering University College London London WC1E 7JE UK. ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang University Hangzhou Zhejiang 311200 China.

Quantum emitters are a key component in photonic quantum technologies. Enhancing single-photon emission by engineering their photonic environment is essential for improving overall efficiency in quantum information processing. However, this enhancement is often limited by the need for ultraprecise emitter placement within conventional photonic cavities. Inspired by the fascinating physics of moiré pattern, we propose a multilayer moiré photonic crystal with a robust isolated flatband. Theoretical analysis reveals that, with nearly infinite photonic density of states, the moiré cavity simultaneously has a high Purcell factor and large tolerance over the emitter’s position, breaking the constraints of conventional cavities. We then experimentally demonstrate various cavity quantum electrodynamic phenomena with a quantum dot in moiré cavity. A large tuning range (up to 40-fold) of quantum dot’s radiative lifetime is achieved through strong Purcell enhancement and inhibition effects. Our findings open the door for moiré flatband cavity–enhanced quantum light sources and quantum nodes for the quantum internet.

关键词： Quantum electronics

来源：评论

学校读者我要写书评

暂无评论

Prediction of piRNA-mRNA interactions based on an interactive inference network

Prediction of piRNA-mRNA interactions based on an interactiv...

引用

2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Liu, Yajun Li, Ru Li, Aimin Fei, Rong Guo, Xie Wu, Fang-Xiang Xi'an University of Technology Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an China Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an China University of Saskatchewan Division of Biomedical Engineering Department of Computer Science Department of Mechanical Engineering Saskatoon Canada

ISBN: (纸本)9798350337488

As the largest class of small non-coding RNAs, piRNAs primarily present in the reproductive cells of mammals, which influence post-transcriptional processes of mRNAs in multiple ways. Effective methods for predicting piRNA and mRNA target relationships can help identify piRNA functions, investigate the possibility of piRNAs as biomarkers and therapeutic targets. In this study, we propose a computational approach for classifying the relationships of piRNA-mRNA pairs based on an interactive inference network (IIN). First, we gather piRNA-mRNA target data, collect sequence data by position alignment, and construct a benchmark dataset. Furthermore, a reliable negative set is constructed by positive-unlabeled learning. Finally, we view a piRNA and a mRNA sequence as a premise and hypothesis sentence, respectively, and IIN model is used to predict the relationship between them. The experiments demonstrate that our method effectively characterizes piRNA-mRNA interaction and could be beneficial for researchers to investigate piRNA functions. © 2023 IEEE.

关键词： interactive inference network noncoding RNA piRNA-mRNA interactions positive-unlabeled learning

来源：评论

学校读者我要写书评

暂无评论

Prediction of exosomal piRNAs based on deep learning for sequence embedding with attention mechanism

Prediction of exosomal piRNAs based on deep learning for seq...

引用

2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Liu, Yajun Ding, Yulian Li, Aimin Fei, Rong Guo, Xie Wu, Fangxiang Xi'an University of Technology Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an China University of Saskatchewan Division of Biomedical Engineering Saskatoon Canada Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an China University of Saskatchewan Division of Biomedical Engineering Department of Computer Science Department of Mechanical Engineering Saskatoon Canada

ISBN: (纸本)9781665468190

PIWI-interacting RNAs (piRNAs) are a type of small non-coding RNAs which bind with the PIWI proteins to exert biological effects in various regulatory mechanisms. A growing amount of evidence reveals that exosomal piRNAs are potential biomarkers for diagnosis and treatment of complex diseases. Effective methods for the prediction of exosomal piRNAs are the foundation of piRNA functional research. In this study, we propose an end-to-end deep network for identifying exosomal piRNAs based on features learned from natural language processing (NLP) models for sequence embedding with attention mechanism. First, a benchmark dataset is constructed by processing piRNA subcellular localization annotated data and sequence data. Moreover, bagging positive unlabeled learning is applied to get the reliable negative set. Finally, we treat a piRNA sequence as a sentence and its k-mer subsequence as a token. Sequence embedding models with self-attention mechanism is designed to extract features from exosome piRNA sequences, which are used for the prediction task. Compared with three competing methods, our model achieves the best performance and reveals the key factors of exosomal piRNA sequences by the attention mechanism. Our model characterizes exosomal piRNAs and could be beneficial for researchers to investigate exosomal piRNAs' functions. © 2022 IEEE.

关键词： Embeddings

来源：评论

学校读者我要写书评

暂无评论

ASRNet: Adversarial Segmentation and Registration Networks for Multispectral Fundus Images

引用

Computer Systems Science & Engineering 2021年第3期36卷 537-549页

作者： Yanyun Jiang Yuanjie Zheng Xiaodan Sui Wanzhen Jiao Yunlong He Weikuan Jia School of Information Science and Engineering Shandong Normal UniversityJinan250358China Key Laboratory of Intelligent Computing&Information Security in Universities of Shandong Shandong Provincial Key Laboratory for Novel Distributed Computer Software TechnologyInstitute of Biomedical SciencesShandong Normal UniversityJinan250358China Shandong Provincial Hospital Affiliated to Shandong University Jinan250021China INSA Lyon University of LyonCNRSInsermVilleurbanne69621CedexFrance

Multispectral imaging (MSI) technique is often used to capture imagesof the fundus by illuminating it with different wavelengths of light. However,these images are taken at different points in time such that eyeball movementscan cause misalignment between consecutive images. The multispectral imagesequence reveals important information in the form of retinal and choroidal bloodvessel maps, which can help ophthalmologists to analyze the morphology of theseblood vessels in detail. This in turn can lead to a high diagnostic accuracy of several diseases. In this paper, we propose a novel semi-supervised end-to-end deeplearning framework called “Adversarial Segmentation and Registration Nets”(ASRNet) for the simultaneous estimation of the blood vessel segmentation andthe registration of multispectral images via an adversarial learning process. ASRNet consists of two subnetworks: (i) A segmentation module S that fulfills theblood vessel segmentation task, and (ii) A registration module R that estimatesthe spatial correspondence of an image pair. Based on the segmention-drivenregistration network, we train the segmentation network using a semi-supervisedadversarial learning strategy. Our experimental results show that the proposedASRNet can achieve state-of-the-art accuracy in segmentation and registrationtasks performed with real MSI datasets.

关键词： Deep learning deformable image registration image segmentation multispectral imaging(MSI)

来源：评论

学校读者我要写书评

暂无评论

Pessimistic multi-granulation rough set in incomplete information system

引用

Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia 2016年第2期39卷 203-208页

作者： Yao, Sheng Zhao, Peng Jin, Haijun Chu, Xiaofang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei Anhui230039 China School of Computer Science and Technology Hefei Anhui246011 China Quality and Technical Supervision and Inspection Center of QuZhou QuZhou Zhejiang324000 China Hefei Municipal Public Security Bureau Hefei Anhui230011 China

According to granular computing, Pawlak s rough set theory is based on a single granulation; however, multi-granulation rough set theory is applied to describe an uncertain concept by multiple binary relations. In this paper, the multi-granulation rough set approach with maximal consistent block technique has been introduced into the incomplete information system. Based on this maximal consistent block technique, a new pessimistic multi-granulation rough set in the incomplete information system is proposed. The lower and upper approximations of an uncertain set are defined based on this new model, and some properties are proposed for this new model.

关键词： Rough set theory

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：