检索结果-内蒙古大学图书馆

2023 International Conference on Advancement in Computation and computer Technologies, InCACCT 2023

作者： Saparna, P. Mary, A.Viji Amutha Saintgits College of Applied Sciences Department of Computer Applications Kerala Kottayam India Satyabama Institute of Science and Technology Department of CSE Chennai India

ISBN: (纸本)9798350396485

Pneumonia is an inflammation of the lungs caused by a bacterial or viral infection. The air bags of the lungs fill with pus when infected with bacteria or viruses. It can affect both lungs or a single. It can also be caused by fungi or parasites. This is an illness that threatens the lives of millions of people worldwide.. At present, the main challenge is to detect the disease in itsearliest stages. It is typically diagnosed by examining a chest X-ray taken by a trained physician or radiologist. In this review paper, a database of X-ray, CT-Scan images from patients was used to automatically detect *** patient's breathing becomes progressively unpleasant and difficult as a result of pneumonia. Machine learning-based diagnosis techniques can aid in the early and efficient detection of disease. Medical imaging research is utilizing computer vision-related automatic detection algorithm. © 2023 IEEE.

关键词： computerized tomography

来源：评论

学校读者我要写书评

暂无评论

Learning Individualized Automatic Content Magnification in Gaze-based Interaction

Learning Individualized Automatic Content Magnification in G...

引用

2023 IEEE International Symposium on Multimedia, ISM 2023

作者： Eggenkemper, Florian Kolker, Lars Valente, Mike Rothkopf, Constantin A. Mertens, Robert Technical University of Darmstadt Centre for Cognitive Science Institute of Psychology Germany Hsw University of Applied Sciences Dept. of Computer Science and Engineering Hamelin Germany Bhh University of Applied Sciences Hamburg Germany

ISBN: (纸本)9798350395761

The precision of modern commercial off-the-shelf eye trackers has reached a level sufficient for developing gaze-based applications. In many but not all applications, accuracy even allows for replacing a computer mouse with gaze-bazed pointing. The Multi-Modal Interaction Concept for Efficient input (M2ice) tackles accuracy problems with an on-demand hybrid fisheye magnifier. This paper introduces an image-analysis-based approach that identifies areas on the screen where to automatically activate magnification for improved interaction. It combines the separate actions magnifying and clicking into one seamless action. The approach works by combining OpenCV filters for detection of clickable elements on the screen with a local machine learning algorithm predicting whether magnification is needed based on size and position of screen elements. A user study (n = 28) showed a significant speed increase of 18.50 percent (t(27)=-3.95, p=.0002 at α = .05) with automatic magnification compared to separate shortcuts for clicking and magnification. © 2023 IEEE.

关键词： Eye tracking

来源：评论

学校读者我要写书评

暂无评论

Outcome Prediction and Murmur Detection in Sets of Phonocardiograms by a Deep Learning-Based Ensemble Approach

Outcome Prediction and Murmur Detection in Sets of Phonocard...

引用

2022 Computing in Cardiology, CinC 2022

作者： Festag, Sven Stein, Gideon Buchner, Tim Shadaydeh, Maha Denzler, Joachim Spreckelsen, Cord Institute of Medical Statistics Computer and Data Sciences Jena University Hospital Germany Smith Consortium of the German Medical Informatics Initiative Germany Computer Vision Group Institute for Computer Science Friedrich Schiller University Jena Germany

ISBN: (纸本)9798350300970

We, the team UKJ_FSU, propose a deep learning system for the prediction of congenital heart diseases. Our method is able to predict the clinical outcomes (normal, abnormal) of patients as well as to identify heart murmur (present, absent, unclear) based on phonocardiograms recorded at different auscultation locations. The system we propose is an ensemble of four temporal convolutional networks with identical topologies, each specialized in identifying murmurs and predicting patient outcome from a phonocardiogram taken at one specific auscultation location. Their intermediate outputs are augmented by the manually ascertained patient features such as age group, sex, height, and weight. The outputs of the four networks are combined to form a single final decision as demanded by the rules of the George B. Moody PhysioNet Challenge 2022. On the first task of this challenge, the murmur detection, our model reached a weighted accuracy of 0.567 with respect to the validation set. On the outcome prediction task (second task) the ensemble led to a mean outcome cost of 10679 on the same set. By focusing on the clinical outcome prediction and tuning some of the hyper-parameters only for this task, our model reached a cost score of 12373 on the official test set (rank 13 of 39). The same model scored a weighted accuracy of 0.458 regarding the murmur detection on the test set (rank 37 of 40). © 2022 Creative Commons.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Deep Learning for Precision Medicine: Advancing Personalized Treatment Plans in Oncology

Deep Learning for Precision Medicine: Advancing Personalized...

引用

2025 IEEE International Conference on Computational, Communication and Information Technology, ICCCIT 2025

作者： Shrivastava, Anurag Kotiyal, Arnav Jain, Alok Devi, V.S Anusuya Rao, Bolleddu Devananda Bansal, Saloni Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai India Graphic Era Deemed to Be University Department of Computer Science & Engineering Dehradun India Lovely Professional University Phagwara India New Horizon College of Engineering Department of Applied Sciences Bangalore India MLR Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India GLA University Department of Computer Engineering and Applications Mathura India

ISBN: (纸本)9798331512965

A new approach to cancer care, precision medicine tailors treatments to each patient's specific genetic, molecular, and clinical characteristics. In order to analyze complicated, high-dimensional data and create individualized treatment plans, deep learning - a potent subfield of AI - has arisen as a game-changing tool in this area. Discover how deep learning methods are being used in precision oncology to improve cancer diagnosis, prognosis, and treatment planning in this groundbreaking article. A few examples of notable developments are the use of CNNs to medical image tumor identification and segmentation, RNNs to treatment outcome prediction, and LSTM models to patient survival. More effective and less harmful treatments are possible because too deep learning models that integrate multimodal data, such as genetic sequences, histopathological pictures, and electronic health records. These models can detect new biomarkers and forecast how different medications will affect individual patients. The clinical translation of deep learning models is hindered by a number of obstacles, despite these encouraging improvements. Problems including data scarcity, unequal distribution of classes, and unintelligibility are major roadblocks. Also, to make sure these models are accurate and reliable, they need to be standardized and validated thoroughly before they can be used in clinical processes. Fostering trust and acceptance in therapeutic contexts also requires addressing ethical problems, such as data security, possible biases in algorithmic predictions, and patient privacy. This work offers a thorough analysis of existing approaches, delves into the difficulties and moral concerns, and suggests avenues for further study to improve the use of deep learning in precision oncology. Personalized treatment regimens, made possible by deep learning, have the potential to revolutionize cancer care by vastly increasing patient outcomes. © 2025 IEEE.

关键词： Electronic health record

来源：评论

学校读者我要写书评

暂无评论

A DATABASE FOR THE COMPARISON OF MEASURED DATASETS OF HUMAN VOICE DIRECTIVITY 10

A DATABASE FOR THE COMPARISON OF MEASURED DATASETS OF HUMAN ...

引用

10th Convention of the European Acoustics Association, EAA 2023

作者： Pörschmann, Christoph Institute of Computer and Communication Technology TH Köln - University of Applied Sciences Betzdorfer Str. 2 CologneD-50679 Germany

ISBN: (纸本)9788888942674

More than 200 years ago, early research on human voice radiation showed that speech has directional properties [1, 2]. Since then, many speech directivity studies have investigated several specific aspects, for example, phoneme or loudness dependencies, but only a few datasets are freely available. This study presents a database that allows direct comparison and visualization of datasets from 19 different studies. The data is collected from tables, plots, and datasets from the supplemental material of the respective studies. Some studies present directivity patterns averaged over a whole sentence, while others report phoneme-dependent data. Furthermore, these datasets vary in their sampling grids, with many measured in the horizontal plane and just a few measured spherically. Most datasets included in this work present frequency-band averaged values, for example, in one-third octave bands, while a few newer studies provide the raw data in the form of transfer functions. Our database allows the visualization and comparison of directivity patterns of various datasets found in literature in different ways, such as polar plots or amplitudes over frequency. This study can thus simplify the systematic review and support a better understanding of the specific properties of human voice directivity. © 2023 First author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

关键词： Database systems

来源：评论

学校读者我要写书评

暂无评论

All-photonic artificial-neural-network processor via nonlinear optics

引用

Physical Review applied 2024年第1期22卷 014009-014009页

作者： Jasvith Raj Basani Mikkel Heuck Dirk R. Englund Stefan Krastanov Department of Electrical and Electronics Engineering Department of Electrical and Computer Engineering Institute for Research in Electronics and Applied Physics and Department of Electrical Engineering and Computer Science Department of Electrical and Photonics Engineering College of Information and Computer Sciences

Optics and photonics have recently captured interest as a platform to accelerate linear matrix processing, otherwise a bottleneck in traditional digital electronics. In this paper we propose an all-photonic computational accelerator wherein information is encoded in the amplitudes of frequency modes stored in a single ring resonator. Interaction among these modes is enabled by nonlinear optical processes. Both the matrix multiplication and elementwise activation functions on these modes (the artificial neurons) are performed through coherent processes, enabling the direct representation of negative and complex numbers without having to pass through digital electronics, a common limitation in today’s photonic architectures. This design also has a drastically lower hardware footprint compared with today’s electronic and optical accelerators, as the entirety of the matrix multiplication happens in a single multimode resonator on chip. Our architecture is unique in providing a completely unitary, reversible mode of computation, enabling on-chip analog Hamiltonian-echo backpropagation for gradient descent and other self-learning tasks. Moreover, the computational speed increases with the power of the pumps to arbitrarily high rates, as long as the circuitry can sustain the higher optical power. Lastly, the design presented here is a less demanding version of a future room-temperature quantum computational device. Therefore, while this architecture is already viable today, direct reinvestments in it would be enabling its evolution into quantum computational hardware.

关键词： Machine learning Neuromorphic computing Nonlinear optics Photonics Artificial neural networks Deep learning Neural network simulations Optical computing

来源：评论

学校读者我要写书评

暂无评论

A Survey of Fault Tolerance in Cloud Computing

A Survey of Fault Tolerance in Cloud Computing

引用

2024 International Symposium of Systems, Advanced Technologies and Knowledge, ISSATK 2024

作者： Elhajjej, Om Kolthoum Alyaoui, Nouha Dardouri, Samia Chabir, Karim Tunisia Higher Institute of Applied Sciences and Technology Computer Science and Telecommunications Department Zarroug Gafsa Tunisia Shaqra University College of Computing and Information Technology Department of Computer Science Saudi Arabia University of Carthage InnoV'COM Laboratory-Sup'Com Tunisia

ISBN: (纸本)9798331540173

This paper is designed to provide a comprehensive overview of the latest developments in fault tolerance methods for cloud computing. Maintaining high availability and reliability of cloud environments requires fault tolerance. This paper explores fault tolerance in the context of cloud computing and discusses recent challenges and innovations in the field. Moreover, it examines the ongoing research efforts to improve fault-tolerance architectures. At the end of the paper, the paper presents system-level metrics that are relevant to fault tolerance. © 2024 IEEE.

关键词： Cloud computing architecture

来源：评论

学校读者我要写书评

暂无评论

An Efficient AES 32-Bit Architecture Resistant to Fault Attacks

引用

computers, Materials & Continua 2022年第2期70卷 3667-3683页

作者： Hassen Mestiri Imen Barraj Abdullah Alsir Mohamed Mohsen Machhout Department of Computer Engineering College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Higher Institute of Applied Sciences and Technology of Sousse University of SousseTunisia Electronics and Micro-Electronics Laboratory Faculty of Sciences of MonastirUniversity of MonastirTunisia METS Research Group Electrical Engineering DepartmentNational Engineers School of SfaxUniversity of SfaxTunisia Higher Institute of Computer Science and Multimedia of Gabes University of GabesTunisia

The Advanced Encryption Standard cryptographic algorithm,named AES,is implemented in cryptographic circuits to ensure high security level to any system which required confidentiality and secure information *** of the most effective physical attacks against the hardware implementation of AES is fault attacks which can extract secret *** now,a several AES fault detection schemes against fault injection attacks have been *** this paper,so as to ensure a high level of security against fault injection attacks,a new efficient fault detection scheme based on the AES architecture modification has been *** this reason,the AES 32-bit round is divided into two half rounds and input and pipeline registers are implemented between *** proposed scheme is independent of the procedure the AES is ***,it can be implemented to secure the pipeline and iterative *** evaluate the robustness of the proposed fault detection scheme against fault injection attacks,we conduct a transient and permanent fault attacks and then we determine the fault detection capability;it is about 99.88585%and 99.9069%for transient and permanent faults *** have modeled the AES fault detection scheme using VHDL hardware language and through hardware FPGA *** FPGA results demonstrate that our scheme can efficiently protect the AES hardware implementation against fault *** can be simply implemented with low *** addition,the FPGA implementation performances prove the low area overhead and the high efficiency and working frequency for the proposed AES detection scheme.

关键词： Security cryptographic circuits AES hardware implementation fault detection fault attacks

来源：评论

学校读者我要写书评

暂无评论

Protein Nanowire Thin Films for the Potential of Constructing ‘Green’ Electronic Devices

Protein Nanowire Thin Films for the Potential of Constructin...

引用

International Workshop on Thin Films for Electronics, Electro-Optics, Energy and Sensors 2022

作者： Yao, Jun Department of Electrical and Computer Engineering Institute of Applied Life Sciences Department of Biomedical Engineering University of Massachusetts AmherstMA01003 United States

ISBN: (纸本)9781510660618

Protein nanowires harvested from microbes G. sulfurreducens are a renewable, green electronic material. Electronic devices made from protein nanowires show novel or improved functions in energy harvesting, computing and sensing. First, thin film assembled from protein nanowires is used to construct air generator (air-gen) that can continuously harvest electricity from air humidity, unveiling the potential of continuous and ubiquitous clean energy harvesting. Second, memristors and neuromorphic devices constructed from protein nanowires function at biological amplitude ( © 2023 SPIE. All rights reserved.

关键词： Proteins

来源：评论

学校读者我要写书评

暂无评论

SynDronevision: A Synthetic Dataset for Image-Based Drone Detection

arXiv

引用

arXiv 2024年

作者： Lenhard, Tamara R. Weinmann, Andreas Franke, Kai Koch, Tobias Germany Working Group Algorithms for Computer Vision Imaging and Data Analysis University of Applied Sciences Darmstadt Germany

Developing robust drone detection systems is often constrained by the limited availability of large-scale annotated training data and the high costs associated with real-world data collection. However, leveraging synthetic data generated via game engine-based simulations provides a promising and cost-effective solution to overcome this issue. Therefore, we present SynDronevision, a synthetic dataset specifically designed for RGB-based drone detection in surveillance applications. Featuring diverse backgrounds, lighting conditions, and drone models, SynDronevision offers a comprehensive training foundation for deep learning algorithms. To evaluate the dataset's effectiveness, we perform a comparative analysis across a selection of recent YOLO detection models. Our findings demonstrate that SynDronevision is a valuable resource for real-world data enrichment, achieving notable enhancements in model performance and robustness, while significantly reducing the time and costs of real-world data acquisition. SynDronevision will be publicly released upon paper acceptance. © 2024, CC BY.

关键词： Aircraft detection

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：