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检索条件"任意字段=International Conference on Applied Computing and Information Technology"

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Brain Tumor Detection and Classification using Vision Transformer (ViT) 3

Brain Tumor Detection and Classification using Vision Transf...

引用

3rd international conference on Automation, computing and Renewable Systems, ICACRS 2024

作者： Sundar, G. Naveen Narmadha, D. Jerry, Nivin Abraham Thangavel, Senthil Kumar Shanmugam, Selvanayaki Kolandapalayam Ajibesin, Adeyemi Abel Department of Computer Science and Engineering Karunya Institute of Technology and Sciences Coimbatore India Department of Computer Science and Engineering Amrita School of Computing Coimbatore India Department of Mathematics and Computer Science Ashland University United States Department of Information Technology Cape Peninsula University of Technology South Africa

ISBN: (纸本)9798331532420

TThis study uses the Vision Transformer (ViT) architecture to present a sophisticated approach for brain tumor identification and classification. ViT models are assessed based on their capacity to extract global contextual information from MRI images. With an average accuracy of 97%, the refined ViT models surpass traditional CNN-based models on a dataset of brain tumor MRI images classified into glioma, meningioma, pituitary, and no-tumor classes. This study shows how ViT models can increase diagnostic precision, which makes them a good substitute for actual medical imaging applications. © 2024 IEEE.

关键词： Brain mapping

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Automatic Text Summarization: An Extensive Survey 15

Automatic Text Summarization: An Extensive Survey

引用

15th international conference on Advances in computing, Control, and Telecommunication Technologies, ACT 2024

作者： Gaikwad, Manisha Shinde, G.R. Mahalle, Parikshit Sable, Nilesh Kharate, Namrata Vishwakarma Institute of Information Technology Maharashtra Pune411048 India

ISBN: (纸本)9798331300579

There are several uses for Automatic Text Summarization (ATS), such as summarizing content for social media, documents, news, and creating personalized summaries for individuals with different information requirements. As technology advances, further research and innovation in ATS will be required to address the limitations of current approaches and fully utilize this discipline for real-world applications. An extensive introduction to artificial text summarization has been provided in this survey study, with special attention to its significance, challenges, and most recent advancements, basically two approaches to automatic text summarization: syntactical and semantical summarization are explored in this paper. This survey is meant to serve as a helpful resource for academics, professionals, and stakeholders in the domains of information retrieval and natural language processing, as well as to stimulate further advancements in the ATS sector. © Grenze Scientific Society, 2024.

关键词： Semantics

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A Proposed Semantically Enhanced Search Engine Framework to Extract Relevant information in the Context

A Proposed Semantically Enhanced Search Engine Framework to ...

引用

2024 international conference on Sustainable computing and Integrated Communication in Changing Landscape of AI, ICSCAI 2024

作者： Krishnamoorthy, Ramkumar Gupta, Namit University Karnataka Bangalore India College Of Computing Science And Information Technology Teerthanker Mahaveer University Uttar Pradesh Moradabad India

ISBN: (纸本)9798350355338

As the amount of information accessible on the World Wide Web continues to increase, it is becoming apparent that General Search Engines such as Google and Yahoo are losing their effectiveness in facilitating information access. In order for search engines to achieve success, it is imperative that the information presented to the user is both pertinent and reliable. The given paper introduces a modular framework for a Search Engine that prioritizes the consolidation of dispersed data pertaining to entertainment, leisure, and travel, followed by customization of the data to cater to the unique preferences of individual users. The findings of the proposed search engine includes gathering reliable information pertaining to diverse attractions, apply a filtering mechanism, and subsequently display only the relevant pieces of information to the user. By limiting the scope of crawled websites and implementing personalized techniques, the process of retrieving information can be optimized for increased efficiency and accuracy within this category. © 2024 IEEE.

关键词： Web crawler

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Mean Field Analysis of Serverless Edge computing for Smart Vehicle Applications 4

Mean Field Analysis of Serverless Edge Computing for Smart V...

引用

4th international conference on Electronic information Engineering and Computer Communication, EIECC 2024

作者： Yao, Yuan He, Rong Wuhan Institute of Technology School of Computer Science and Engineering Wuhan China

ISBN: (纸本)9798331534622

Smart cities and vehicles generate numerous time sensitive tasks, making edge computing a key solution for reducing latency. However, using serverless models at the edge faces challenges like dynamic city traffic and resource constraints. This study analyzes serverless edge computing for smart vehicles through modeling and experiments. we develop a mean field model captures steady-state system behavior under stochastic job arrivals, enabling efficient analysis of metrics like mean sojourn time and service degradation probability. Through experiments and simulations, we demonstrate the feasibility of serverless edge servers for low-latency offloading, providing insights for optimizing these systems in urban environments. © 2024 IEEE.

关键词： Edge computing Mean field Model Performance Analysis Serverless

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Towards Green and computing Approaches to Establish Intelligent Transportation Systems (ITS) in KSA 1

Towards Green and Computing Approaches to Establish Intellig...

引用

1st international conference in Advanced Innovation on Smart City, ICAISC 2023

作者： Almutairi, Saleh Ateeq Taibah University Applied College Computer Science and Information Department Medinah Saudi Arabia

ISBN: (纸本)9781665472753

Highway congestion is a major obstacle to Saudi Arabia's modernization and economic diversification initiatives. Intelligent transportation systems (ITS) have recently become a practical investment choice. Vehicular Ad Hoc Networks (VANET) allow for transportation system enhancements. In addition, the technology to harness solar power can be considered a viable renewable energy option. Since photovoltaic (PV) panels can produce electricity at scales ranging from microwatts to megawatts;they represent a promising option. Besides, academics and business executives have recently received more attention to distributed computing paradigms. As a result, implementing ITS in KSA necessitates using green technology and distributed computing methods. Therefore, the primary goal of this research is to present a standard design for an Internet of Things (IoT)- Fog computing-based PV system, including Solar photovoltaic panels, batteries, an MPPT charger, LED drivers, a microcontroller (MCU), IoT devices, and distributed computing approaches. © 2023 IEEE.

关键词： Internet of things

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Hybrid Algorithm for Secure Routing in MANET Using Cryptographic Applications

Hybrid Algorithm for Secure Routing in MANET Using Cryptogra...

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2024 IEEE international conference on Electronic Systems and Intelligent computing, ICESIC 2024

作者： Muruganandam, S. Gnanavel, S. Narayana, K.E. Jaeyalakshmi, M. Antony Kumar, K. Panimalar Engineering College Department of Computer Science and Business Systems Chennai India SRM Institute of Science and Technology Kattankulathur Campus Faculty of Engineering and Technology Department of Computing Technologies Chengalpattu India Rajalakshmi Engineering College Department of Information Technology Chennai India Rajalakshmi Engineering College Department of Computer Science and Engineering Chennai India Vel Tech Rangarajan Dr Sagunthala R and D Institute of Science and Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798331522988

In Mobile sensor Networks, Each and every wireless node dynamically changes its location due to its mobility nature. The routing information is maintained by the master node to deliver a data packet from source to destination. The attackers easily hack this wireless network. The performance of the complete networks is dropped by packets transmission attacks. Attacker node drops the packet. An enhanced protection technique in response to packets transmission misbehaviour attacks is provided to increase the energy efficiency of mobile nodes. This paper proposed the Cryptographic formed Malicious Node Detection and Secure Routing framework (CMNDSR). This model incorporates three various strategies specially algorithm for control of access, to protects initial illegal node in the network. The suspected identification and prevention techniques based on hop count value. Secure routing method with a private key generated at random like one time password (OTP). The proposed methods are power efficient, by operating a minimum number of nodes in challenging environment. The misbehaviour nodes are promptly identified and isolated using this proposed approach. The Cryptographic based Secure routing algorithm is applied to provide secure transmission in wireless networking environment. The outcomes of the simulation display how effectively the recommended approach can identify malicious nodes in a MANET. In comparison with previous methods, the energy consumption is 10% lower and the suspicious node detection rate is increased by 95%. © 2024 IEEE.

关键词： Encryption algorithms

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Quantification and Validation for Degree of Understanding in M2M Semantic Communications 24

Quantification and Validation for Degree of Understanding in...

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24th IEEE international conference on Communication technology, ICCT 2024

作者： Xia, Linhan Cai, Jiaxin Hou, Ricky Yuen-Tan Jeong, Seon-Phil BNU-HKBU United International College Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science Zhuhai China

ISBN: (纸本)9798350363760

With the development of Artificial Intelligence (AI) and Internet of Things (IoT) technologies, network communications based on the Shannon-Nyquist theorem gradually reveal their limitations due to the neglect of semantic information in the transmitted content. Semantic communication (SemCom) provides a solution for extracting information meanings from the transmitted content. The semantic information can be successfully interpreted by a receiver with the help of a shared knowledge base (KB). This paper proposes a two-stage hierarchical qualification and validation model for natural language-based machine-to-machine (M2M) SemCom. The approach can be applied in various applications, such as autonomous driving and edge computing. In the proposed model, we quantitatively measure the degree of understanding (DoU) between two communication parties at the word and sentence levels. The DoU is validated and ensured at each level before moving to the next step. The model's effectiveness is verified through a series of experiments, and the results show that the quantification and validation method proposed in this paper can significantly improve the DoU of inter-machine SemCom. © 2024 IEEE.

关键词： Latent semantic analysis

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Design of UAV emergency management platform based on edge computing 3

Design of UAV emergency management platform based on edge co...

引用

3rd international conference on Electronic information Engineering, Big Data, and Computer technology, EIBDCT 2024

作者： Tan, Weixing Shandong University Jinan250000 China

ISBN: (纸本)9781510680449

In order to solve the problem of being unable to ensure normal communication due to the destruction of ground communication equipment after a disaster, the research on emergency demand solutions for quickly constructing a space-ground integrated network based on drone-based airborne base stations has also entered a period of rapid planning and construction. This article is committed to building a drone emergency management platform based on edge computing, big data transmission, and intelligent drone technology. By integrating a large number of information resources, let "data"think, and achieve information collection and collaborative rescue. Due to the impact of the disaster, the power supply of some communication equipment cannot be replenished. To this end, based on the communication framework of UAVs, a new uplink scheduling scheme is proposed, called crisis-aware scheduling, or CAS strategy. The CAS policy fully considers the user's location, device power, and user's communication link quality, and optimizes resource allocation based on this information, giving priority to allocating resources to users in distress. Simulation data shows that the proposed CAS strategy improves the quality of experience of users in distress. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Resource allocation

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Conversion-based reconstruction: a discretized clinical convergence generative network for CT metal artifact reduction

Conversion-based reconstruction: a discretized clinical conv...

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2024 international conference on Future of Medicine and Biological information Engineering, MBIE 2024

作者： Zou, Mingye Ma, Xinghua Wang, Wei Wang, Kuanquan The Faculty of Computing Harbin Institute of Technology Harbin150006 China The Faculty of Computing Harbin Institute of Technology Shenzhen518055 China

ISBN: (纸本)9781510682825

In computed tomography (CT) systems, the presence of metal artifacts can significantly impair image quality, making subsequent diagnosis and treatment more challenging. Against the Metal Artifact Reduction(MAR) task, existing deep-learning methods have achieved satisfactory reconstruction results. However, most of the methods involve limited artifact-free prior knowledge to guarantee the fidelity of the final result. Additionally, the sinogram-domain information that many methods rely on introduces secondary noise, exacerbating the negative effects. To address these issues, we propose a novel Discretized Clinical Convergence Generative Network (DCCGN) that relies on image domain information and robustly introduces the clinical prior information in a quantitative manner to convert noisy features into clean ones to complete the reconstruction. Extensive experiments and evaluations have shown that DCCGN has superior generation and fidelity compared to several SOTA algorithms for both synthetic and clinical datasets. © 2024 SPIE.

关键词： Computerized tomography

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User-Resource Associations for Delay Minimization in THz-Enabled Mobile Edge computing Systems 15

User-Resource Associations for Delay Minimization in THz-Ena...

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15th international conference on information and Communication technology Convergence, ICTC 2024

作者： Song, Heekang Choi, Wan School of Electrical Engineering Korea Advanced Institute of Science and Technology Daejeon Korea Republic of Institute of New Media and Communications Seoul National University Seoul Korea Republic of Seoul National University Dept. of Electrical and Computer Engineering Seoul Korea Republic of

ISBN: (纸本)9798350364637

Mobile edge computing (MEC) and terahertz (THz)-enabled communication systems are gaining significant attention for their potential to reduce user service delays in future mobile networks. This paper leverages user offloading and resource management in MEC systems operating at THz frequencies to minimize expected user service delays. Numerical results demon-strate that our approach outperforms the baseline algorithm. © 2024 IEEE.

关键词： Mobile edge computing

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