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Stroke Lesion Detection Using Convolutional Neural Networks

Stroke Lesion Detection Using Convolutional Neural Networks

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2018 International Joint Conference on Neural Networks, IJCNN 2018

作者： Pereira, Danillo Roberto Filho, Pedro P. Rebouças De Rosa, Gustavo Henrique Papa, João Paulo De Albuquerque, Victor Hugo C. Department of Computing São Paulo State University Bauru SP Brazil Federal Institute of Education Science and Technology of Ceará CE Brazil Graduate Program in Applied Informatics University of Fortaleza Fortaleza CE Brazil

ISBN: (纸本)9781509060146

Stroke is an injury that affects the brain tissue, mainly caused by changes in the blood supply to a particular region of the brain. As consequence, some specific functions related to that affected region can be reduced, decreasing the quality of life of the patient. In this work, we deal with the problem of stroke detection in Computed Tomography (CT) images using Convolutional Neural Networks (CNN) optimized by Particle Swarm optimization (PSO). We considered two different kinds of strokes, ischemic and hemorrhagic, as well as making available a public dataset to foster the research related to stroke detection in the human brain. The dataset comprises three different types of images for each case, i.e., the original CT image, one with the segmented cranium and an additional one with the radiological density's map. The results evidenced that CNN's are suitable to deal with stroke detection, obtaining promising results. © 2018 IEEE.

关键词： Convolution

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Cooperation for creativity in design

Cooperation for creativity in design

引用

8th International Conference on computer Supported Cooperative Work in Design

作者： Vivacqua, A de Souza, J Computer Science Program Graduate School Engineering Federal University of Rio de Janeiro Rio de Janeiro Brazil DCC Institute of Mathematics Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)0780379411

Creativity has become an important asset in today's fast changing environment. It is especially important in design, which demands innovative solutions for every project. We believe that creativity can and should be encouraged in work groups. In this paper, we propose a framework for supporting creativity in problem solving. Through the use of problem, domain and user models and information retrieval and agent technology, we hope to support creative cooperative work.

关键词： computer aided design

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TASC4RE: a data-driven context model to support the elicitation of context-aware functionalities

TASC4RE: a data-driven context model to support the elicitat...

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2022 ER Forum and PhD Symposium, ER-Forum-PhD 2022

作者： Falcão, Rodrigo Pestana, Maria Clara Vieira, Vaninha Fraunhofer IESE Fraunhofer-Platz 1 Kaiserslautern67663 Germany Computer Science Graduate Program UFBA Av. Milton Santos s/n Salvador40170-110 Brazil Institute of Computing UFBA Av. Milton Santos s/n Salvador40170-110 Brazil

In requirements elicitation for context-aware systems, context modeling is an essential early step. However, it has been overlooked by practitioners due to its perceived high complexity, in particular when it comes to the analysis of how different contexts may influence a user task of interest. To change this situation, data-driven context modeling approaches appear to be promising: Based on contextual data, algorithms can identify how contextual elements may, in combination with each other, influence user tasks. In this paper, we contribute the Task-specific Context Model for Requirements Elicitation (TASC4RE). TASC4RE is a context model representation aimed at supporting data-driven context modeling approaches. It combines the expressiveness of natural language, which is appreciated by human readers, with formality. TASC4RE was preliminarily evaluated in a controlled experiment with professionals in the context of a software development project. The results showed a positive trend towards the acceptance of the model. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Requirements engineering

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Mining association rules on qing court medical records: Semantic abstraction and standardization

Mining association rules on qing court medical records: Sema...

引用

2012 IEEE 12th International Conference on computer and Information Technology, CIT 2012

作者： Cao, Cong Wang, Weimin Cao, Cungen Zang, Liangjun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Graduate University Chinese Academy of Sciences Beijing China School of Computer Science and Engineering Jiangsu University of Science and Technology Zhenjiang China

ISBN: (纸本)9780769548586

To explore the association relations among disease, pathogenesis, physician, symptoms and drug, we adapt a variational Apriori algorithm for discovering association rules on a dataset of the Qing Court Medical Records. There are five types of semantic associations we intend to discover, including Disease-Pathogenesis-Drug set(DPaD), Disease-Symptoms-Drug set (DSyD), Disease-Drug set (DD), Disease-Physician-Drug set (DPhD) and Disease-Drug Category Set (DDC). To solve the synonymity problem and the data sparseness problem, we give a mapping strategy which maps pathogenesis to standardized forms and maps drugs to drug categories. With the mapping strategy the number of frequent drug sets rises from 287 to 1184. The experimental results indicate that our method with the mapping strategy is an effective way to acquire valuable semantic association rules. © 2012 IEEE.

关键词： Association rules

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An adaptive approach to query mediation across heterogeneous information sources

An adaptive approach to query mediation across heterogeneous...

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International Conference on Cooperative Information Systems

作者： L. Liu C. Pu Y. Lee Department of Computing Science University of Alberta Canada Department of Computer Science and Engineering Oregon Graduate Institute

The authors propose a query mediation framework to support customizable information gathering across heterogeneous and autonomous information sources. Instead of an integrated (and static) global schema, they propose an adaptive approach to interoperability which allows information consumers to represent their queries based on the customized personal view rather than at system-defined integrated view. The query mediation framework consists of five steps: query routing, query decomposition, parallel access plan generation, subquery translation and execution, and query result assembly. Concrete examples illustrate the challenges arising from heterogeneity in these five steps and how the framework scales up as the number of information sources grow and evolve.

关键词： Mediation Query processing Assembly Concrete Databases Large-scale systems Information systems Production Costs Data models

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CIMulator: Evaluating Neuromorphic Accelerators with HZO FefinFET-Based Synaptic Device 7

CIMulator: Evaluating Neuromorphic Accelerators with HZO Fef...

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7th International Conference on Green Technology and Sustainable Development, GTSD 2024

作者： Le, Hoang-Hiep Lu, Hao-Yu Baig, Md. Aftab De, Sourav Lin, Ing-Chao Lu, Darsen D. Minghsin University of Science and Technology Department of Computer Science and Information Engineering Hsinchu Taiwan National ChengKung University Intelligent Computing Industrial Doctorate Program Tainan Taiwan Institute of Microelectronics National ChengKung University Tainan Taiwan National ChengKung University Department of Computer Science and Information Engineering Tainan Taiwan

ISBN: (纸本)9798350386073

In this study, we use the CIMulator platform to evaluate the performance of neuromorphic accelerators with novel Hf0.5Zr0.5O2 (HZO) ferroelectric fin field-effect transistor (FefinFET) as synaptic device. The MNIST handwritten digit dataset is used for training and inference processes in multilayer perceptron (MLP) neural networks. With the highly optimized synaptic device, the results demonstrate high training and inference accuracy, achieving up to 97% for the MLP, approaching the accuracy of software implementations. © 2024 IEEE.

关键词： Multilayer neural networks

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Verifying data authenticity and integrity in server-aided confidential forensic investigation

Verifying data authenticity and integrity in server-aided co...

引用

International Conference on Information and Communication Technology, ICT-EurAsia 2013

作者： Hou, Shuhui Sasaki, Ryoichi Uehara, Tetsutaro Yiu, Siuming Department of Information and Computing Science University of Science and Technology Beijing China Graduate School of Science and Technology for Future Life Tokyo Denki University Japan Research Institute of Information Security Wakayama Japan Department of Computer Science University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9783642368172

With the rapid development of cloud computing services, it is common to have a large server shared by many different users. As the shared server is involved in a criminal case, it is hard to clone a copy of data in forensic investigation due to the huge volume of data. Besides, those users irrelevant to the crime are not willing to disclose their private data for investigation. To solve these problems, Hou et al. presented a solution to let the server administrator (without knowing the investigation subject) cooperate with the investigator in performing forensic investigation. By using encrypted keyword(s) to search over encrypted data, they realized that the investigator can collect the necessary evidence while the private data of irrelevant users can be protected from disclosing. However, the authenticity and integrity of the collected evidence are not considered there. The authenticity and integrity are two fundamental requirements for the evidence admitted in court. So in this paper, we aim to prove the authenticity and integrity of the evidence collected by the existing work. Based on commutative encryption, we construct a blind signature and propose a "encryption-then-blind signature with designated verifier" scheme to tackle the problem. © 2013 Springer-Verlag.

关键词： Cryptography

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Deep Learning Based End-to-End Specular Reflection Removal for Medical Endoscopic Images 23

Deep Learning Based End-to-End Specular Reflection Removal f...

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2023 Research in Adaptive and Convergent Systems, RACS 2023

作者： Shih, Chi-Sheng Liao, Yu-Cheng Tan, Ching-Ting Graduate Institute of Networking and Multimedia Department of Computer Science and Information Engineering High Performance and Scientific Computing Center National Taiwan University Taipei Taiwan Graduate Institute of Networking and Multimedia National Taiwan University Taipei Taiwan Department of Otolaryngology National Taiwan University Hospital Taipei Taiwan

ISBN: (纸本)9798400702280

Endoscopic images usually have many overexposed regions due to strong and focused light sources and, consequently, physicians need to change the camera angle for a clear view from time to time. This work targets removing the specular reflections from the endoscopy images but maintaining the structural and semantic texture in the images. Unlike the state-of-the-art image inpainting methods, the proposed method treats the specular reflection removal problem as an image-to-image translation task by skipping the specular detection step. The technique uses Dense Multi-scale Fusion Network (DMFN), which aims for small size and clear images, as the base and revises the network to support the large size and noisy endoscopy images. Moreover, the method can recover structure from large overexposed regions. Experimental results show that under different glare ratios and granularity settings, it is more effective than the Partial Convolution Model when recovering the corrupted pixels: the mean average error of pixel values decreases 13.2%, and the PSNR value increases 2.62dB. Qualitative analysis shows that even in the worst case when the proposed model generates output images with MAE up to 4.30, its recoveries still possess good visual qualities. The proposed model can process a 480 × 768 image in 16.2ms on a computer equipped with 36 CPU cores and an RTX-3090 GPU. It usually takes at least 20 minutes for a human to recover such images. © 2023 ACM.

关键词： Endoscopy

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Ontology-based web agents using concept description flow

Ontology-based web agents using concept description flow

引用

8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004

作者： Xie, Nengfu Cao, Cungen Ma, Bingxian Zhang, Chunxia Si, Jinxin Institute of Computing Technology Chinese Academy of Sciences Beijing100080 China The Graduate School of the Chinese Academy of Sciences China College of Computer Science Qufu Normal University Shandong China

ISBN: (纸本)9783540232063

The Semantic Web is now emerging to give the explicit meanings to information that makes the process and integration of Web-based information easier for machines to carry out automatically, so services on the semantic web can be available as semantically described behaviors within FIPA compliant agents, such as user agents, middle agents and service agents, with intelligent behaviors. When a service user needs some different services to achieve his goal, these services should be combined into a composite service. In this paper, we will show how to model and analyze dynamic performance semantic of the composite service with an ontology-based Concept Description Flow that helps the user agent to determine which services are executed and adjusted semantically. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Semantic Web

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The Adoption of Artificial Intelligence Technology in Parking Security System 7th

The Adoption of Artificial Intelligence Technology in Parkin...

引用

7th International Conference on Inventive Systems and Control, ICISC 2023

作者： Alhafizh, Muhammad Rifqi Adriawan, Albertus Baskara Yunandito Fernaldy, Darryl Gaol, Ford Lumban Matsuo, Tokuro Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program—Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Advanced Institute of Industrial Technology Tokyo Japan

ISBN: (纸本)9789819916238

Artificial intelligence (AI) refers to human-like intelligence exhibited by computers, robots, or other machines. In popular use, artificial intelligence refers to the ability of a computer or machine to mimic the ability of the human mind to learn from examples and experiences, recognize objects, understand and respond to language, make decisions, solve problems, and combine these and other abilities to perform functions that humans might perform. Artificial intelligence requires experience and data to smarten up the technology. The most important things in making artificial intelligence are learning, reasoning, and self-correction. At the learning stage, AI gives machines the ability to learn tasks without requiring a defined programming language. Then, the reasoning stage is the stage where the reason AI is applied in a technology. The self-correction stage is the stage where the AI is refining itself from and learning from experience in order to minimize errors or problems that exist. Then, this matter is concerned with the parking lot to be discussed. Parking can be interpreted as public facilities available in agencies or offices that serve to store vehicles. Vehicles entering the parking area become tens or even thousands, because it requires a parking system and management area. Such arrangements are capable of parking procedures and even other support systems such as adequate parking facilities and infrastructure, and another function is to create and develop parking systems in general to provide safety and comfort. The methodology obtained from this problem is checking the research model to check and find out the comparison of vehicle user’s Parking System Security between cars or motorcycles, as well as the usual parking lots visited. Then, we created a questionnaire. This study used questionnaires with the aim to get respondents’ results about the Parking Security System. Our sampling method is based on respondents aged 17–20 years. Questionnaires are su

关键词： Security systems

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