检索结果-内蒙古大学图书馆

IEEE International Conference on Healthcare informatics (ICHI)

作者： Yuhang Jiang Ramakanth Kavuluru Department of Computer Science University of Kentucky Lexington KY USA Dept. of Internal Medicine Division of Biomedical Informatics Univ. of Kentucky Lexington KY USA

Combination drug therapies are treatment regimens that involve two or more drugs, administered more commonly for patients with cancer, HIV, malaria, or tuberculosis. Currently there are over 350K articles in PubMed that use the combination drug therapy MeSH heading with at least 10K articles published per year over the past two decades. Extracting combination therapies from scientific literature inherently constitutes an n-ary relation extraction problem. Unlike in the general n-ary setting where n is fixed (e.g., drug-gene-mutation relations where n =3), extracting combination therapies is a special setting where n ≥2 is dynamic, depending on each instance. Recently, Tiktinsky et al. (NAACL 2022) introduced a first of its kind dataset, CombDrugExt, for extracting such therapies from literature. Here, we use a sequence-to-sequence style end-to-end extraction method to achieve an F1-Score of 66.7% on the CombDrugExt test set for positive (or effective) combinations. This is an absolute ≈5% F1-score improvement even over the prior best relation classification score with spotted drug entities (hence, not end-to-end). Thus our effort introduces a state-of-the-art first model for end-to-end extraction that is already superior to the best prior non end-to-end model for this task. Our model seamlessly extracts all drug entities and relations in a single pass and is highly suitable for dynamic n-ary extraction scenarios.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Realtime IoT Malware Classification System Based on Pending Samples

A Realtime IoT Malware Classification System Based on Pendin...

引用

IEEE International Conference on Communications (ICC)

作者： Taichi Igarashi Hiroya Kato Iwao Sasase Kanta Matsuura Dept. of Informatics and Electronics The University of Tokyo Tokyo Japan Dept. of Information and Computer Science Keio University Kanagawa Japan

With the rapid growth of the Internet of Things (IoT) devices, a lot of IoT malware has been created, and the security against IoT malware, especially the family classification, has become a more important issue. There exist three requirements which classification systems must achieve: detection of new families, precise classification for sequential inputs, and being independent of computer architectures. However, existing methods do not satisfy them simultaneously. In this paper, we propose a realtime IoT malware classification system based on pending samples. In order to detect new families and to classify sequential inputs precisely, we introduce the concept of “pending samples”. This concept is useful when heterogeneous inputs which are difficult to classify instantly come into the system. This is because the system can postpone classifying them until similar samples come. Once similar samples are gathered, we regard these samples as a new cluster, meaning that detecting new families is achieved. Moreover, we use printable strings to satisfy the requirement of being independent of architectures because strings are common among different architectures. Our results show the ability to detect new families demonstrated by finding new clusters after applying our algorithm to the initial clusters. Furthermore, our new clustering algorithms achieves a 0.130 higher V-measure compared to the k-means algorithm, which is the representative clustering algorithm.

关键词：

来源：评论

学校读者我要写书评

暂无评论

End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies

arXiv

引用

arXiv 2023年

作者： Ai, Xuguang Kavuluru, Ramakanth Department of Computer Science University of Kentucky Lexington United States Division of Biomedical Informatics Dept. of Internal Medicine Univ. of Kentucky Lexington United States

End-to-end relation extraction (E2ERE) is an important task in information extraction, more so for biomedicine as scientific literature continues to grow exponentially. E2ERE typically involves identifying entities (or named entity recognition (NER)) and associated relations, while most RE tasks simply assume that the entities are provided upfront and end up performing relation classification. E2ERE is inherently more difficult than RE alone given the potential snowball effect of errors from NER leading to more errors in RE. A complex dataset in biomedical E2ERE is the ChemProt dataset (BioCreative VI, 2017) that identifies relations between chemical compounds and genes/proteins in scientific literature. ChemProt is included in all recent biomedical natural language processing benchmarks including BLUE, BLURB, and BigBio. However, its treatment in these benchmarks and in other separate efforts is typically not end-to-end, with few exceptions. In this effort, we employ a span-based pipeline approach to produce a new state-of-the-art E2ERE performance on the ChemProt dataset, resulting in > 4% improvement in F1-score over the prior best effort. Our results indicate that a straightforward fine-grained tokenization scheme helps span-based approaches excel in E2ERE, especially with regards to handling complex named entities. Our error analysis also identifies a few key failure modes in E2ERE for ChemProt. © 2023, CC BY.

关键词： Pipelines

来源：评论

学校读者我要写书评

暂无评论

UDA-CT: A General Framework for CT Image Standardization

UDA-CT: A General Framework for CT Image Standardization

引用

2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Selim, Md Zhang, Jie Fei, Baowei Lewis, Matthew Zhang, Guo-Qiang Chen, Jin University of Kentucky Dept. of Computer Science LexingtonKY United States University of Kentucky Dept. of Radiology LexingtonKY United States University of Texas at Dallas Dept. of Bioengineering DallasTX United States UT Southwestern Medical Center Dept. of Radiology DallasTX United States University of Texas Health Science Center at Houston Dept. of Neurology HoustonTX United States University of Kentucky Inst. for Biomedical Informatics LexingtonKY United States

ISBN: (纸本)9781665468190

Large-scale CT image studies often suffer from a lack of homogeneity regarding radiomic characteristics due to the images acquired with scanners from different vendors or with different reconstruction algorithms. We propose a deep learning-based framework called UDA-CT to tackle the homogeneity issue by leveraging both paired and unpaired images. Using UDA-CT, the CT images can be standardized both from different acquisition protocols of the same scanner and CT images acquired using a similar protocol but scanners from different vendors. UDA-CT incorporates recent advances in deep learning including domain adaptation and adversarial augmentation. It includes a unique design for model training batch which integrates nonstandard images and their adversarial variations to enhance model generalizability. The experimental results show that UDA-CT significantly improves the performance of the cross-scanner image standardization by utilizing both paired and unpaired data. © 2022 IEEE.

关键词： Standardization

来源：评论

学校读者我要写书评

暂无评论

Application of Augmented Reality and The Floyd-Warshall Algorithm in The Kujang Pamor Labyrinth Educational Game

Application of Augmented Reality and The Floyd-Warshall Algo...

引用

International Conference on informatics, Multimedia, Cyber and Information System (ICIMCIS)

作者： Eneng Tita Tosida Ridwan Raafi’udin Alfenia Rosyida Ashar Ema Kurnia Computer Science Dept. Pakuan Univeristy Bogor Indonesia Informatic Dept. UPN Veteran Jakarta Indonesia Computer Science Dept. Pakuan University Bogor Indonesia Informatics Management Dept. Pakuan University Bogor Indonesia

The efforts that are being made to bolster indigenous knowledge for the m illennial generation need to be carried out using a technical strategy that is based on the industrial revolution 4.0 and is moving toward society 5.0. Kujangs, which have a variety of motifs on their b lades and carry cultural wisdom values, need to be socialized using a method that takes a millennial technology perspective in order to be able to transform the difficulties of s ociety 5.0 into the strengths of the Sustainable Development Goals ( SDGs). The purpose of this study is to develop an instructional game based on the kujang motif by utilizing Augmented Reality techniques and putting them into practice using the Floyd-Warshall Algorithm. The game of kujang pamor is designed on the idea of a maze, and the path through the maze is constructed on the basis of the cleaver figures. The complexity of each of s even different routes through a three-dimensional maze that uses augmented reality serves as the basis for the g ame's leveling system. In a maze game with clever figures, the Floyd-Warshall algorithm is possible to optimize the search for the path that is the shortest distance between two points. The originality of this study lies in the fact that it utilizes augmented reality techniques while simultaneously searching for the path with the least distance in a maze game based on the kujang pamor.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Utilizing Blockchain Technologies with IoT: Review Paper 4

Utilizing Blockchain Technologies with IoT: Review Paper

引用

4th International Iraqi Conference on Engineering Technology and Their Applications, IICETA 2021

作者： Khaki, Mays Adel Al-Mejibli, Intisar Shaheed Elameer, Amer S. Dept. Computer Science Iraqi Commission for Computers and Informatics Informatics Institute for Postgraduate Baghdad Iraq Baghdad Iraq

ISBN: (纸本)9781665494618

The core aim of the internet of things is providing communication capability between huge numbers of different entities "things". The Abundance feature of connected devices to the emergence of many security challenges for IoT data, which in turn stimulate researchers to search for appropriate solutions. The Blockchain is one of the security technologies which consider as a game changer in safeguarding the internet of things data. Through its impact, it has made the addition of more devices into the Blockchain ecosystem. Boosting the security of devices used in IoT to accelerate the rate of adoption of Blockchain technology. The main aim of this paper is to investigate the current literature to determine how the management of IoT has become independent and widespread doing away with the need of having to rely on one entity in the storage of data in the new technology, Blockchain assumes the role of a database making it different from the storage methods used in the past. In addition to, the authors have organized the utilization of Blockchain in a well-defined structure. Finally, this paper concluded that by utilization of Blockchain results in improved security and distribution using devices such as sensors which are connected efficiently with the aim of coming up with a secure database which gives rise to lots of business opportunities in the future. © 2021 IEEE.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Acoustic measurement framework for audio systems based on structured periodic test signals 12

Acoustic measurement framework for audio systems based on st...

引用

12th IEEE Global Conference on Consumer Electronics, GCCE 2023

作者： Kawahara, Hideki Yatabe, Kohei Sakakibara, Ken-Ichi Mizumachi, Mitsunori Kitamura, Tatsuya Wakayama University Cntr. Innovative Research and Liaison Wakayama Japan Tokyo University of Agriculture and Technology Dept. Electrical Engineering and Computer Science Tokyo Japan Health Sciences University of Hokkaido Dept. Speech-Language-Hearing Therapy Hokkaido Japan Kyushu Institute of Technology Dept. Electrical and Electronic Eng. Kitakyushu Japan Konan University Dept. Intelligence and Informatics Kitakyushu Japan

ISBN: (纸本)9798350340181

We introduce a framework for acoustic measurement that allows everyday sounds into acoustic measurement test signals and standard test signals such as swept-sine and MLS (Maximum Length Sequence). The framework extends our extended Time-Stretched-Pulse generation method and safeguarding method for any signals to make them appropriate for acoustic measurement. The extension uses the periodic nature of discrete Fourier transform combined with orthogonalization based on the Walsh-Hadamerd matrix. This framework enables simultaneous measurement of acoustic attributes such as linear time-invariant response, signal-dependent non-linear and time-invariant components, and random time-varying components. We also discuss and demonstrate practical scenarios in classes and laboratory lessons using tools developed based on the proposed framework. © 2023 IEEE.

关键词： Audio systems

来源：评论

学校读者我要写书评

暂无评论

Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics 38

Probabilistic Decomposed Linear Dynamical Systems for Robust...

引用

38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Chen, Yenho Mudrik, Noga Johnsen, Kyle A. Alagapan, Sankaraleengam Charles, Adam S. Rozell, Christopher J. Machine Learning Center Georgia Institute of Technology United States School of Electrical and Computer Engineering Georgia Institute of Technology United States Coulter Dept. of Biomedical Engineering Emory University Georgia Institute of Technology United States Department of Biomedical Engineering Mathematical Institute for Data Science Center for Imaging Science Kavli Neuroscience Discovery Institute Johns Hopkins University United States

Time-varying linear state-space models are powerful tools for obtaining mathematically interpretable representations of neural signals. For example, switching and decomposed models describe complex systems using latent variables that evolve according to simple locally linear dynamics. However, existing methods for latent variable estimation are not robust to dynamical noise and system nonlinearity due to noise-sensitive inference procedures and limited model formulations. This can lead to inconsistent results on signals with similar dynamics, limiting the model's ability to provide scientific insight. In this work, we address these limitations and propose a probabilistic approach to latent variable estimation in decomposed models that improves robustness against dynamical noise. Additionally, we introduce an extended latent dynamics model to improve robustness against system nonlinearities. We evaluate our approach on several synthetic dynamical systems, including an empirically-derived brain-computer interface experiment, and demonstrate more accurate latent variable inference in nonlinear systems with diverse noise conditions. Furthermore, we apply our method to a real-world clinical neurophysiology dataset, illustrating the ability to identify interpretable and coherent structure where previous models cannot. © 2024 Neural information processing systems foundation. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Smart Beds Designed for Monitoring and Treatment of Pressure Ulcers

Smart Beds Designed for Monitoring and Treatment of Pressure...

引用

Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET), IEEE International Conference on

作者： Sheryl Robinson Aishwarya Mohan Kumar J Bethanney Janney Poojahsri Sivakumar K Dhanalakshmi P. Grace Kanmani Prince Dept. of Biomedical Engg Sathyabama Institute of Science and Technology Chennai India Dept. of Computer Science Engg Sathyabama Institute of Science and Technology Chennai India

One of the most common risks for individuals who are bedridden is the development of bedsores (Pressure Ulcers). The number of senior persons who are permanently disabled and semi-impaired is growing as the population ages. The conventional methods used to relieve bed sores tend to focus on the pressure distribution and very minimal focus is provided for therapy. In order to detect patterns of warning signs or pathogens that can be treated early to reduce morbidity and mortality as well as length and expense of hospitalization, it is crucial to continuously monitor the patient’s health while they are in the hospital. Healthcare workers continuously monitor the patient’s vital signs, making it simple and safe to shield the patient from unforeseen threats and to reduce harmful health issues. On the other hand, a major side effect of hospitalization is the impact of pressure ulcers on the bedridden patient as a result of strong shear forces. A pressure ulcer or bedsores is a damage to tissue that has been disturbed or lacks blood flow as a result of prolonged pressure and shear forces, and it can give the patient pain and discomfort. This review focuses on research articles that deals with monitoring as well as treatment of patients inflicted with pressure ulcers. Furthermore, we have also proposed a basic system and methodology that can be followed by others for future research work.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Towards Optimal Association of Coexisting RF, THz and mmWave Users in 6G Networks

Towards Optimal Association of Coexisting RF, THz and mmWave...

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Noha Hassan Xavier Fernando Isaac Woungang Alagan Anpalagan Dept. of Electrical Computer and Biomedical Engineering Toronto Metropolitan University Toronto Canada Dept. of Computer Science Toronto Metropolitan University Toronto Canada

The sixth generation (6G) mobile communication system is expected to utilize millimeter wave and THz frequency bands, in addition to RF bands. The propagation characteristics and ranges of these bands vary vastly while the multi-band users supposedly experience seamless coverage, high throughput and consistent Quality of Service. Heterogeneous base stations (BSs) equipped with these multiple technologies shall be fairly loaded for this. SINR based approaches tend to assign more users to RF channels while starving other bandwidth rich mediums. In this paper, we propose an algorithm to improve the performance of multi-band 6G networks by optimizing the user association to heterogeneous BS to maximize the cumulative data rate while ensuring an acceptable transmission power and fair load balancing among the BSs. The optimization problem is solved using the Lagrangian method. Simulation results show an improved cumulative throughput and fairness.

关键词：

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：