检索结果-内蒙古大学图书馆

27th International Conference on Pattern Recognition, ICPR 2024

作者： Elsharkawy, Mohamed Abdelhalim, Ibrahim Ghazal, Mohammed Haq, Mohammad Z. Haq, Rayan Mahmoud, Ali Sandhu, Harpal S. Thanos, Aristomenis El-Baz, Ayman Department of Bioengineering University of Louisville LouisvilleKY United States Electrical and Computer Engineering Department Abu Dhabi University Abu Dhabi United Arab Emirates School of Medicine University of Louisville LouisvilleKY United States Legacy Devers Eye Institute PortlandOR United States

ISBN: (纸本)9783031781971

Segmentation of retinal layers in three-dimensional optical coherence tomography (3D-OCT) images plays a pivotal role in disease identification and prognosis. For instance, analyzing variations in layer curvature within 3D-OCT images offers crucial insights into age-related macular degeneration (AMD) progression. This paper presents TransNetOCT, a novel approach employing a transformer architecture for 3D-OCT volume segmentation. The method delineates 3D-OCT scans into twelve surfaces, outlining the background and eleven layers. Initially, we segment the central macular B-scan, identifiable by the fovea, using a joint Markov Gibbs random field model. This model integrates shape, intensity, and spatial characteristics across the twelve retinal surfaces. Subsequently, a probability prior shape algorithm is applied to the adjacent slices, utilizing the middle segmented B-scan image as a reference. TransNetOCT is then trained on the central slice along with the extracted probability prior shapes of adjacent slices. An evaluation of 85 patients, including those with normal, early, and intermediate AMD OCT scans, demonstrates the method’s effectiveness. It achieves an Absolute Sum of Surface Distance (ASSD) of 1.3149 and Mean Absolute Surface Distance (MASD) of 1.7091, outperforming well-known models like the UNet and Feature Pyramid Network (FPN). Specifically, it surpasses UNet and FPN with a 78% reduction for ASSD and a 76% reduction for MASD, respectively, and a 48% reduction for both ASSD and MASD, respectively. These results highlight its superior capability in segmenting a broader spectrum of retinal layers. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Optical coherence tomography

来源：评论

学校读者我要写书评

暂无评论

Multi-gate FeFET Discriminates Spatiotemporal Pulse Sequences for Dendrocentric Learning

Multi-gate FeFET Discriminates Spatiotemporal Pulse Sequence...

引用

2023 International Electron Devices Meeting, IEDM 2023

作者： Chen, Hugo J.-Y. Beauchamp, Matthew Toprasertpong, Kasidit Huang, Fei Le Coeur, Louis Nemec, Thorgund Wong, H.-S. Philip Boahen, Kwabena GlobalFoundries Dresden Germany Stanford University Department of Electrical Engineering StanfordCA United States Stanford University Department of Bioengineering StanfordCA United States Stanford University Department of Computer Science StanfordCA United States

ISBN: (纸本)9798350327670

This paper presents a dendrite-like device that discriminates spatiotemporal patterns of pulses for parallel processing in 3D neuromorphic architectures. The device utilizes the ferroelectric layer in a segmented multi-gate FeFET design to detect a consecutive sequence of input pulses. Experimental results demonstrate successful emulation of highly selective sequence discrimination in dendrites of neurons in the cortex and highlight up to 100× signal-margin (output current differences). This nanodendrite design offers a neuromorphic solution to thermally scalable parallel processing in 3D systems. © 2023 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Super-Resolution Displacement Spectroscopic Sensing over a Surface“Rainbow”

引用

engineering 2022年第10期17卷 75-81页

作者： Lyu Zhou Nan Zhang Chang Chieh Hsu Matthew Singer Xie Zeng Yizheng Li Haomin Song Josep Jornet Yun Wu Qiaoqiang Gan Department of Electrical Engineering The State University of New York at BuffaloBuffaloNY 14260USA Department of Biomedical Engineering The State University of New York at BuffaloBuffaloNY 14260USA Department of Electrical and Computer Engineering Northeastern UniversityBostonMA 02115USA Material Science Engineering Program King Abdullah University of Science and TechnologyThuwal 23955-6900Saudi Arabia

Subwavelength manipulation of light waves with high precision can enable new and exciting applications in spectroscopy,sensing,and medical *** these applications,miniaturized spectrometers are desirable to enable the on-chip analysis of spectral *** particular,for imaging-based spectroscopic sensing mechanisms,the key challenge is to determine the spatial-shift information accurately(i.e.,the spatial displacement introduced by wavelength shift or biological or chemical surface binding),which is similar to the challenge presented by super-resolution ***,we report a unique"rainbow"trapping metasurface for on-chip spectrometers and *** with super-resolution image processing,the low-setting 4×optical microscope system resolves a displacement of the resonant position within 35 nm on the plasmonic rainbow trapping metasurface with a tiny area as small as0.002 *** unique feature of the spatial manipulation of efficiently coupled rainbow plasmonic resonances reveals a new platform for miniaturized on-chip spectroscopic analysis with a spectral resolution of 0.032 nm in wavelength *** this low-setting 4×microscope imaging system,we demonstrate a biosensing resolution of 1.92×109exosomes per milliliter for A549-derived exosomes and distinguish between patient samples and healthy controls using exosomal epidermal growth factor receptor(EGFR)expression values,thereby demonstrating a new on-chip sensing system for personalized accurate bio/chemical sensing applications.

关键词： Rainbow trapping Metasurface Surface plasmon polaritons Super-resolution displacement On-chip biosensing

来源：评论

学校读者我要写书评

暂无评论

A Physical-Based Artificial Neural Networks Compact Modeling Framework for Emerging FETs

引用

IEEE Transactions on Electron Devices 2024年第1期71卷 223-230页

作者： Yang, Ya-Shu Li, Yiming Kola, Sekhar Reddy Reddy National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory The Institute of Communications Engineering Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Institute of Communications Engineering Institute of Biomedical Engineering Department of Electronics and Electrical Engineering Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan

We report a compact modeling framework based on the Grove-Frohman (GF) model and artificial neural networks (ANNs) for emerging gate-all-around (GAA) MOSFETs. The framework consists of two ANNs;the first ANN constructed with the drain current model not only can capture the main trend of device I - V characteristics but also can predict its variation even when the amount of training data for the ANN is insufficient or outside the range of applied biases. The second one is then designed to improve the model accuracy by further minimizing the errors between the target and the model outputs. We implement the proposed framework to accurately model emerging GAA nanosheet (NS) MOSFETs and complementary FETs (CFETs) without suffering from divergent issues in circuit simulation. In addition, nonphysical behaviors, such as nonzero current at zero bias, do not occur in the modeling framework. Compared to recently reported machine-learning (ML) models, our approach can achieve a similar level of model accuracy with merely 20% amount of the training data. © 1963-2012 IEEE.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Statistical Device Simulation and Machine Learning of Process Variation Effects of Vertically Stacked Gate-All-Around Si Nanosheet CFETs

引用

IEEE Transactions on Nanotechnology 2024年 23卷 386-392页

作者： Kola, Sekhar Reddy Li, Yiming Butola, Rajat National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Department of Electronics and Electrical Engineering Institute of Communications Engineering Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Institute of Biomedical Engineering Institute of Pioneer Semiconductor Innovation Institute of Artificial Intelligence Innovation Hsinchu300093 Taiwan

In this study, we report the process variation effect (PVE) including the work function fluctuation (WKF) on the DC/AC characteristic fluctuation of stacked gate-all-around silicon complementary field-effect transistors (CFETs). The PVE affects characteristic fluctuation significantly;in particular, for the variability of off-state current. Owing to the bottom channel of a fin-type, the P-FET suffers from the worst off-state current fluctuation (more than 200% variation) compared to the N-FET. The device variability induced by the WKF is marginal because of amorphous-type metal grains. As input features to an artificial neural network (ANN) model, low and high work function values, as well as parameters of PVE that have prevalent effects on CEFT transfer characteristics are further considered and modeled. The estimated values of R2-score prove that the ANN model properly grasps information from the dataset successfully;thus, it can be used to model emerging CFETs for circuit simulation. © 2002-2012 IEEE.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

FMUNet: Frequency Modulation-Based UNet for Octa Segmentation 22

FMUNet: Frequency Modulation-Based UNet for Octa Segmentatio...

引用

22nd IEEE International Symposium on Biomedical Imaging, ISBI 2025

作者： Abdelhalim, Ibrahim Elsharkawy, Mohamed Sewelam, Ashraf Ghazal, Mohammed Mahmoud, Ali El-Baz, Ayman University of Louisville Department of Bioengineering LouisvilleKY United States Mansoura University Faculty of Medicine Ophthalmology Department Mansoura Egypt Abu Dhabi University Electrical and Computer Engineering Department Abu Dhabi United Arab Emirates

ISBN: (纸本)9798331520526

In analyzing optical coherence tomography angiography (OCTA) images, segmentation is a crucial step in the development of computer-aided diagnosis systems for detecting retinal diseases. However, existing approaches often suffer from limitations, such as a fixed receptive field or the inability to preserve the salient structure of the vascular system, which hampers the accuracy of disease detection. To address these challenges, we introduce the Fourier Transform. Building on this concept, we propose FMUNet: Frequency Modulation-Based U-Net for OCTA Segmentation. This model is designed to achieve an image-sized receptive field while capturing global dependencies, thereby enhancing segmentation performance. Specifically, we apply the Fast Fourier Transform (FFT) to feature maps across multiple scales, followed by a lightweight block that learns attention masks from the frequency representations obtained post-FFT. This approach emphasizes transferable frequency components that are beneficial for representing the vascular system while suppressing less informative components. Experimental results demonstrate that FMUNet achieves superior performance compared to state-of-the-art models, with mean Dice and mean IoU scores of 91.39% and 84.15%, respectively, highlighting its robustness and enhanced capability in OCTA segmentation. © 2025 IEEE.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Maximum Application of Power Point Tracker on Microcontroller Based Dual Energy Solar Powered Dryer 3rd

Maximum Application of Power Point Tracker on Microcontrolle...

引用

3rd International Conference on Experimental and Computational Mechanics in engineering, ICECME 2021

作者： Jalil, Saifuddin Muhammad Husaini Munadi, Rizal Sara, Ira Devi Doctoral Program School of Engineering Post Graduate Program Universitas Syiah Kuala Banda Aceh23111 Indonesia Department of Electrical and Computer Engineering Universitas Syiah Kuala Darussalam Banda Aceh23111 Indonesia Department of Mechanical Engineering Universitas Syiah Kuala Darussalam Banda Aceh23111 Indonesia Department of Electrical Universitas Malikussaleh Lhokseumawe24351 Indonesia

ISBN: (纸本)9789811936289

Solar-powered dryers are still expensive and difficult to obtain for farmers with medium to low production capacity. For this reason, it is necessary to develop technology on a solar-powered dryer with a solar panel capacity of 200WP is equipped with a maximum power point tracker as an integrated solar collector with a photovoltaic system. The system in this solar-powered dryer consists of a solar panel tracker, a rotating aluminum cylinder net, a photovoltaic tracker, a battery bank, a microcontroller, and a DC/AC inverter. This system improves the performance of solar panels in the drying process of Moringa leaves. This design is expect to be the right system to ensure maximum results by providing solar radiation energy in the drying process of agricultural products. The aims goal to minimize problems in the drying of agricultural products experienced by farmers using an automatic dual-energy solar-powered dryer as a development innovation for the drying process. This study uses an experimental methodology and field data collection using a solar-powered dryer that has been analyzed and measured to obtain data comparisons. shows the maximum data of voltage and power response in positioning photovoltaic to produce the increased output power of photovoltaic array. Maximum application of powerpoint tracker on microcontroller based dual energy solar powered dryer on solar panels for drying moringa leaves produces the advantage of maximum energy absorption in solar panels and shortens the time in the drying process of moringa leaves. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Microcontrollers

来源：评论

学校读者我要写书评

暂无评论

Correction to: Parameterisation and Prediction of Intra-canal Cochlear Structures (Annals of Biomedical engineering, (2024), 52, 3, (695-706), 10.1007/s10439-023-03417-5)

引用

Annals of Biomedical engineering 2025年第6期53卷 1524-1524页

作者： Thiselton, Joshua Hanekom, Tania Bioengineering Department of Electrical Electronic and Computer Engineering University of Pretoria Lynnwood Road Gauteng Pretoria0002 South Africa

The funding note is incomplete. The funding note should read as follows: Open access funding provided by University of Pretoria. This work is based on research supported by the National Research Foundation of South Africa (Grant number 141954). The authors have no other relevant financial or non-financial interests to disclose. © The Author(s) 2025.

关键词：

来源：评论

学校读者我要写书评

暂无评论

High-quality Mid-infrared Chalcogenide Ring Resonator

High-quality Mid-infrared Chalcogenide Ring Resonator

引用

2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Lu, Bright Xu, Bo Krueper, Greg Zohrabi, Mo Gopinath, Juliet T. Park, Wounjhang Department of Electrical Computer and Energy Engineering University of Colorado BoulderCO80309 United States Department of Physics University of Colorado BoulderCO80309 United States Materials Science and Engineering Program University of Colorado BoulderCO80309 United States

ISBN: (纸本)9781957171395

We report Ge23Sb7S70 chalcogenide ring resonators with up to 8 × 104 quality factors operating around 3.6 µm wavelength fabricated through e-beam lithography. Their rib waveguide geometry can be engineered to support close-to-zero dispersion modes needed for mid-infrared microcomb generation. CLEO 2024 © Optica Publishing Group 2024 © 2024 The Author(s)

关键词： Ring lasers

来源：评论

学校读者我要写书评

暂无评论

Reachability Analysis of Nonlinear Discrete-Time Systems Using Polyhedral Relaxations and Constrained Zonotopes 63

Reachability Analysis of Nonlinear Discrete-Time Systems Usi...

引用

63rd IEEE Conference on Decision and Control, CDC 2024

作者： Rego, Brenner S. Raffo, Guilherme V. Terra, Marco H. Scott, Joseph K. Georgia Institute of Technology Department of Chemical and Biomolecular Engineering 311 Ferst Dr. AtlantaGA30318 United States University of Säo Paulo Department of Electrical and Computer Engineering SP Säo Carlos13566-590 Brazil Federal University of Minas Gerais Department of Electronics Engineering and the Graduate Program in Electrical Engineering MG Belo Horizonte31270-901 Brazil

ISBN: (纸本)9798350316339

This paper presents a novel algorithm for reachability analysis of nonlinear discrete-time systems. The proposed method combines constrained zonotopes (CZs) with polyhedral relaxations of factorable representations of nonlinear functions to propagate CZs through nonlinear functions, which is normally done using conservative linearization techniques. The new propagation method provides better approximations than those resulting from linearization procedures, leading to significant improvements in the computation of reachable sets in comparison to other CZ methods from the literature. Numerical examples highlight the advantages of the proposed algorithm. © 2024 IEEE.

关键词： Numerical methods

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：