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检索条件"任意字段=International Conference on Advanced Research on Computer Science and Information Engineering"

共 160469 条记录，以下是171-180 订阅

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AI-Powered Healthcare with advanced Graph Convolutional Neural Networks and SVM for Diagnosis 3

AI-Powered Healthcare with Advanced Graph Convolutional Neur...

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3rd international conference on Integrated Circuits and Communication Systems, ICICACS 2025

作者： Mahendran, A. Nalla, Sridhar Babu Trivedi, Lalit Mohan Mohankumar, S. Williams, D.R. Mohan Renuka, Manne Sona College of Arts and Science Department of Computer Science Salem India Sr University Department of Computer Science and Engineering Hyderabad India Moradabad Institute of Technology Department of Ash Mathematics Moradabad India Erode Sengunthar Engineering College Department of Computer Science and Engineering Perundurai India College of Computing and Information Sciences University of Technology and Applied Science-Sohar Department of Information Technology Sohar Oman Vidya Jyothi Institute of Technology Department of Electronics and Communication Engineering Hyderabad India

ISBN: (纸本)9798331508456

Medical treatment costs are rising for many reasons. These include an increasing world population, an aging population, greater healthcare needs, more diseases, and inflation. With AI's emergence in navigation, voice recognition, image lesion segmentation, ride-sharing, and smartphone personal assistants, the healthcare industry has quickly adopted it. Initial preprocessing includes standardization, missing values, and discarding anomalies. Next, the model is trained using the obtained features. Spearman correlation, a rank-based nonparametric statistic, can quantify monotonic correlation strength and direction. Even with missing values, the Graph Convolutional Network (GCN) performs well in model training. The suggested model outperformed state-of-the-art alternatives with 93.48% accuracy. It outperformed TransLSTM and GraphSAGE on complex datasets. This research stresses the system's ability to improve healthcare forecast accuracy through preprocessing, feature extraction, and GCN model training. Results show that AI can improve healthcare analytics despite lacking data. © 2025 IEEE.

关键词： Patient treatment

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advanced Deep Learning Framework for Early Breast Cancer Detection with Graph Convolutional Networks 3

Advanced Deep Learning Framework for Early Breast Cancer Det...

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3rd international conference on Integrated Circuits and Communication Systems, ICICACS 2025

作者： Sadeeshkumar, A. Sharma, Seema Amshavalli, M. Anjum, Asma Gupta, Ashwani Aparna, N. St. Joseph's College of Engineering Department of Electrical and Electronics Engineering OMR Chennai India Jecrc University Department of Computer Science and Engineering Jaipur India Erode Sengunthar Engineering College Department of Computer Science and Engineering Thudupathi India Hkbk College of Engineering Visvesvaraya Technological University Department of Computer Science and Engineering Bangalore India Mjp Rohilkhand University Department of Computer Science and Information Technology Bareilly India Hindusthan College of Engineering and Technology Department of Electronics and Communication Engineering Valley Campus Coimbatore India

ISBN: (纸本)9798331508456

Women with breast cancer are very common. Early signs are rare;hence the condition is often identified late. Later-stage treatment outcomes are less predictable and harder. Complementary screening programs and preventative checkups have considerably improved early breast cancer identification. Reducing the number of unscreened women and increasing early-stage breast cancer detection demands better screening methods. Iterative model training included preprocessing, segmentation, feature extraction, and detection. Preprocessing was necessary for well-read results. Corners were identified for segmentation using Shi-Tomasi. Feature extraction uses SIFT. Without modifying photo size, this approach discovers similar photos. The research models were all GCN-trained. CNNs and SVMs were employed to evaluate the GCN-based model. GCN's mean accuracy of 92.34 percent beat the competition. This shows that the GCN-based technique improves breast cancer diagnosis. Due to early discovery and treatment, this strategy may improve patient outcomes. © 2025 IEEE.

关键词： Deep learning

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Document Hashing by Exploiting Noisy Neighborhood information with Fault-Tolerant Mutual-information-Preserving VAE 29th

Document Hashing by Exploiting Noisy Neighborhood Informatio...

引用

29th international conference on Database Systems for advanced Applications (DASFAA)

作者： Chen, Jiayang Su, Qinliang Li, Zetong Wan, Hai Lian, Defu Sun Yat Sen Univ Sch Comp Sci & Engn Guangzhou Peoples R China Guangdong Key Lab Big Data Anal & Proc Guangzhou Peoples R China Univ Sci & Technol China State Key Lab Cognit Intelligence Hefei Peoples R China

ISBN: (纸本)9789819757787;9789819757794

Semantic hashing is an effective technique for large-scale information retrieval. Currently, some methods have suggested learning high-quality binary hash codes of documents by leveraging both document contents and neighborhood information. However, it is found that erroneous connections often exist in the provided neighborhood information, but were never taken into account in these models. To alleviate their negative impacts on hash code learning, we first build a basic generative model to simultaneously model the document content and neighborhood. Then, we show that the basic generative model can be placed under a more general framework, dubbed mutual-information (MI) preserving variational auto-encoder (VAE). Capitalizing on this connection, a new hashing method that can tolerate the noisy characteristic of the neighborhood information is further developed by proposing a novel fault-tolerant lower bound for MI. Extensive experiments are conducted on six real-world datasets, and significant performance gains are observed over current state-of-the-art models.

关键词： Semantic hashing Mutual information Fault-tolerant

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Interoperable Product Change Management Within engineering: A Digital Twin Approach 15th

Interoperable Product Change Management Within Engineering: ...

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15th international conference on Subject Oriented Business Process Management

作者： Liepert, Constantin Stary, Christian Lamprecht, Axel Zuegn, Dennis Siemens Ind Software GmbH Otto Hahn Ring 6 D-81739 Munich Germany Johannes Kepler Univ Linz Altenberger Str 69 A-4040 Linz Austria Steinbeis Hsch Gottlieb Manz Str 12 D-70794 Filderstadt Germany Siemens Ind Software GmbH Schwieberdinger Str 95-97 D-70435 Stuttgart Germany

ISBN: (纸本)9783031720406;9783031720413

The complex nature of compliance with industry regulations, along with the increasing requirements for Product Change Notifications (PCNs) and managing product complexity, poses challenges for component manufacturers and machine builders in the engineering phase of product development working with up-to-date Digital Twin (DT) data. This situation leads to delays, potential compliance issues, and inefficiencies. Main reasons are the lack of interoperability PCNs, poor data quality, and the absence of direct traceability and tracking of product changes. To address these challenges, this paper proposes a solution approach that involves utilizing a Product Lifecycle Management (PLM) system and the Asset Administration Shell (AAS). Their design and mutual adjustment enhance collaboration, improve data quality, enable traceability, and finally, increase efficiency within engineering processes. The paper presents first results of a prototype implementation and outlines the next steps of the overarching research project.

关键词： Digital twin interoperability engineering product change management product lifecycle management business process management and asset administration shell

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Control device of pepper picker based on truss manipulator 24

Control device of pepper picker based on truss manipulator

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8th international conference on Electronic information Technology and computer engineering, EITCE 2024

作者： Ji, Xiang Gao, Rucheng Zheng, Bing Shi, Jinmei Li, Qi Hainan Vocational University of Science and Technology Hainan Haikou China

ISBN: (纸本)9798400710094

A picker control device based on a truss manipulator integrates the information of various sensors such as force sense, temperature sense, vision and distance, and timely feedback information to realize the flexible picking of pepper fruit ears by the executive parts. The hardware device consists of a computer vision control system, an industrial control system, a robotic arm and an end actuator. Coordinate various parts of the image, identification module, LiDAR, induction switch, temperature and humidity module, wireless communication module, truss structure and end grabbers, etc., to realize the identification and positioning of the detected object, the acquisition and reporting of the working environment and operating state of the equipment, the accurate control of the structure, and the multi-axis linkage control functions. Automated pepper picking to help agricultural production. © 2024 Copyright held by the owner/author(s).

关键词： Robotic arms

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Sustainable Development Goals in computer engineering: A Curriculum Integration 17

Sustainable Development Goals in Computer Engineering: A Cur...

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17th international conference on computer Supported Education, CSEDU 2025

作者： Markiegi, Urtzi Aldalur, Iñigo Electronics and Computing Department Mondragon Unibertsitatea Arrasate-Mondragon Spain San Sebastian Spain

ISBN: (纸本)9789897587467

This contribution delves into the incorporation of Sustainable Development Goals (SDGs) into the computer engineering curriculum. The study addresses challenges associated with integrating SDGs as cross-cutting content in higher education. Employing a Problem-Based Learning approach, semester projects are aligned with SDGs, and their impact is systematically assessed. Key research questions guide the study, evaluating students’ knowledge, perceptions, and the alignment of projects with SDGs. The methodology integrates SDG-focused learning units within the existing Problem-Based Learning structure. New activities, including initial training, initial assessment, impact assessment, and SDG learning assessment, guide and evaluate students’ integration of SDGs. Results demonstrate successful implementation across three years of the computer engineering degree. The study involves a significant number of subjects, students, and teams, ensuring a comprehensive evaluation. A rubric assesses SDG impact, emphasizing justification and direct positive contributions to SDG objectives. Copyright © 2025 by SCITEPRESS - science and Technology Publications, Lda.

关键词： Students

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Mechatronic Design and Fabrication of Aerogenerator composed of Vertical Axis Wind Energy Station with Helical Blades

Mechatronic Design and Fabrication of Aerogenerator composed...

引用

2025 IEEE international Students' conference on Electrical, Electronics and computer science, SCEECS 2025

作者： Nacarino, Adrian Rueda-Lopez, Andre La-Rosa, Anderson Cornejo, Jose Palomares, Ricardo Ricardo Palma University Professional School of Mechatronics Engineering Lima Peru Universidad Tecnologica Del Peru Lima Peru Lima Peru

ISBN: (纸本)9798331529833

An innovative research, supervised by the research Group of advanced Robotics and Mechatronics (GI-ROMA) and the Mechatronics engineering School at Ricardo Palma University, was conducted, which explored the development of a helical vertical axis wind energy station. The mechanical design of the helical vertical axis focused on determining the blade type to achieve a shear stress of τ=5*10-10, nearly negligible, to let a continuous air flow and obtain a desired voltage output of 5 V. The electrical and electronic design included developing a voltage rectification stage to obtain a regulated output of 5 V;subsequently, 6 V 4.5 Ah batteries were charged and connected in series, with a maximum voltage of 12.67 V, as determined experimentally, which was then connected to a voltage inverter which produced 220 V at 200 W, capable of powering appliances like a 5 W light bulb with a 78.50% efficiency. © 2025 IEEE.

关键词： Shear stress

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Digital Twin Data Provision Within engineering: An AAS PLM Implementation Ensuring Interoperability 15th

Digital Twin Data Provision Within Engineering: An AAS PLM I...

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15th international conference on Subject Oriented Business Process Management

ISBN: (纸本)9783031720406;9783031720413

Digital twins (DTs) facilitate today's product management and digitalized production. Throughout the design, engineering, manufacturing and operation of products, DTdata needs to be exchanged. The lack of interoperability, especially in the context of cross-company data exchange, is a major challenge that hinders the effective use of DT data, starting in the early lifecycle phases. To tackle this challenge, this paper presents an Asset Administration Shell (AAS) solution that enables the creation, provision, integration, and use of cross-company digital twin data throughout the entire product lifecycle, with a particular focus on the design and engineering phase. The exchange mechanism ensures interoperability of digital twin data, starting from the generation, design and engineering phase, and thus building the data basis for all subsequent lifecycle phases, such as manufacturing or operation. The AAS implementation lays ground for overarching all product lifecycle stages and thus meets semantic, technical and organizational interoperability challenges. This paper details the overarching research problem and the design science-based methodology, before providing insight into the results of the initial design cycle.

关键词： Digital Twin Interoperability Product Lifecycle Management Business Process Management Asset Administration Shell

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Measurement of beam offset using wavefront distribution of vortex beam

Measurement of beam offset using wavefront distribution of v...

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2024 advanced Fiber Laser conference, AFL 2024

作者： Cao, Yousheng Li, Xiaoji Key Laboratory of Cognitive Radio and Information Processing Ministry of Education Guilin University of Electronic Technology Guilin541004 China

ISBN: (数字)9781510688889

ISBN: (纸本)9781510688872

In the field of underwater wireless optical communication, optical transmitters and optical receivers need to track and align in real time, which poses challenges to the real-time and accuracy of the measurement method for beam offset. To address this issue, a two-dimensional signal cross-correlation method based on Fourier transform is proposed to measure the beam shift using the unique spatial distribution of vortex beams, and an experimental setup is established to verify the effectiveness of the proposed method. © 2025 SPIE.

关键词： Underwater optical wireless communication

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research on Collaborative Aerial Detection Threat Assessment Method Based on Intuitive Fuzzy Reasoning and Three-way Decision 24

Research on Collaborative Aerial Detection Threat Assessment...

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8th international conference on Electronic information Technology and computer engineering, EITCE 2024

作者： Zhou, Huan Zhao, Xin Shen, Yue Aviation Engineering School Air Force Engineering University Shaanxi Xi'an China Research Center of Unmanned System Strategy Development Northwestern Polytechnical University Shaanxi Xi'an China

ISBN: (纸本)9798400710094

In response to the challenges of high uncertainty in target threat assessment and weak coordination in situational evaluation in unmanned aerial vehicle (UAV) collaborative aerial detection, this paper designs an aerial detection collaborative threat assessment strategy based on fuzzy three support decision-making, effectively solving the problem of fuzzy information processing in aerial detection threat assessment. Firstly, a fuzzy threat model for aerial detection was established, simplifying the difficulty of the problem. Secondly, a threat degree calculation method is constructed using fuzzy multi-attribute decision-making theory, and a threat assessment classification method is constructed based on the fusion of improved prospect theory and three decision-making methods. This strengthens the evaluation algorithm’s ability to process fuzzy information on the field, making the threat assessment and evaluation system more flexible and effective. Subsequently, based on the single aircraft threat assessment results, a coordinated threat item for aerial detection situation was designed to further enhance the formation coordination attribute of unmanned aerial vehicle autonomous threat assessment. Finally, the effectiveness of the designed method was verified through digital simulation in the presence/absence of collaborative aerial detection scenarios, demonstrating its ability to resist fuzzy interference. © 2024 Copyright held by the owner/author(s).

关键词： Aircraft detection

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