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共 4377 条记录，以下是121-130 订阅

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2023 3rd international conference on Communication, computing and Digital systems. C-CODE 2023

2023 3rd International Conference on Communication, Computin...

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3rd international conference on Communication, computing and Digital systems. C-CODE 2023

ISBN: (纸本)9798350332391

The proceedings contain 31 papers. The topics discussed include: efficient virtual network embedding with hierarchical and cooperative multi-agent reinforcement learning;testing neurofeedback system for studying cognitive tests;a survey on human factors in cyberspace: a new dimension of privacy threats;user recognition based on gait pattern via smartwatch accelerometer in unrestricted environment;performing walk-through energy audits in smart homes;exploration of machine learning algorithms for development of intelligent intrusion detection systems.chaos-based secured modified strong recovery conditions for least support orthogonal matching pursuit in the noisy case;machine learning technique to monitor heartbeat using amalgamated data of multi-sensor stream;a metadata approach to classify domain-specific documents for event-based surveillance systems.a novel font color and compression text steganography technique;hybrid deep learning approach for nonfunctional software requirements classifications;and consensus MPC-based hierarchical control of islanded AC microgrid.

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Research on Finance Information Sharing Model of Supply Chain Based on Blockchain 3

Research on Finance Information Sharing Model of Supply Chai...

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3rd international conference on Artificial Intelligence and Autonomous Robot systems. AIARS 2024

作者： Chen, Yuwei International Business School Fuzhou University of International Studies and Trade Fuzhou China

ISBN: (纸本)9798350376173

With the increasing complexity of global procurement chains, the efficiency and security of financial information sharing have become key to improving procurement chain management. This study aims to explore the application of smart ledger in procurement chain financial information sharing, in order to improve transaction transparency, reduce costs, and enhance the synergy of the procurement chain. This article proposes a blockchain based procurement chain financial information sharing model, which utilizes the distributed ledger and smart contract characteristics of blockchain to achieve efficient information sharing and automated financial transaction processing. By constructing a simulated procurement chain environment, this article evaluated the performance of the proposed model, including transaction processing speed, system security, data consistency, operating costs, and user satisfaction. The experimental results show that smart ledger can effectively improve the efficiency of information sharing in procurement chain finance, enhance transaction transparency, reduce operating costs, and improve user satisfaction. The automatic execution feature of smart contracts reduces manual intervention and improves the efficiency and accuracy of contract management. Smart ledger provides an innovative solution for information sharing in procurement chain finance. The proposed model is theoretically feasible and effective in practice, which can significantly improve the operational efficiency and security of procurement chain finance. © 2024 IEEE.

关键词： distributed ledger

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The 3rd international conference on Frontiers in computing and systems.(COMSYS 2022)

The 3rd International Conference on Frontiers in Computing a...

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The 3rd international conference on Frontiers in computing and systems.(COMSYS 2022)

ISBN: (纸本)9789819926794

The proceedings contain 50 papers. The special focus in this conference is on Frontiers in computing and systems. The topics include: Real-Time Prediction of In-Hospital Outcomes Using a Multilayer Perceptron Deployed in a Web-Based Application;automated Analysis of Connections in Model Diagrams;no-Reference Image Quality Assessment Using Meta-Learning;cryptanalysis of Markle Hellman Knapsack Cipher Using Cuckoo Search Algorithm;generating a Suitable Hash Function Using Sudoku for Blockchain Network;why Traditional Group Key Management Schemes Don’t Scale in Multi-group Settings?;RESPECTO: Now We May Go Alone, Safety is in Our Hand;Enhancing Security Mechanism of MQTT Protocol Using Payload Encryption;recent Trends in Cryptanalysis Techniques: A Review;analyzing Market Dynamics of Agricultural Commodities: A Case Study Based on Cotton;A New Approach to Pharmaceutical Product Verification Using Barcode and QR Code;SmartGP: A Framework for a Two-Factor Graphical Password Authentication Using Smart Devices;Impact of Existing Deep CNN and Image Descriptors Empowered SVM Models on Fingerprint Presentation Attacks Detection;centralized Approach for Efficient Management of distributed Linux Firewalls;An Improved (24, 16) OLS Code for Single Error Correction-Double Adjacent Error Correction-Triple Adjacent Error Correction;a Blockchain-Based Biometric Protection and Authentication Mechanism;Optimizing Throughput Using Effective Contention Aware Adaptive Data Rate in LoRaWAN;ESCA: Embedded System Configuration Assistant;on Detection of Hardware Trojan in Memristive Nanocrossbar-Based Circuits;robust Control of Pulsatile Ventricular Assist Devices for Patients with Advanced Heart Failure;feature Selection for Nepali Part-of-Speech Tagging in a Conditional Random Fields-Based System;Performance Analysis of a Chaotic OFDM-FSO Communication System;Performance Analysis of Multivariate Autoregression Based EEG Data Compressor Circuit;A Wideband CMOS LNA Operating at 4.9–8.9 GHz Us

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A Performance Comparison of Multiple Deep Learning Methodologies in Image to Text Synthesis Tasks 3

A Performance Comparison of Multiple Deep Learning Methodolo...

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3rd international conference on Electronics and Renewable systems. ICEARS 2025

作者： Martinez, Jude Joseph Lamug Winata, Edward Kevin Bina Nusantara International University Computer Science Department Faculty of Computing and Media Central Jakarta11480 Indonesia

ISBN: (纸本)9798331509675

Generating textual descriptions from visual inputs has become a critical area of research in the intersection of computer vision and natural language processing called image captioning. This study deep dives towards comparing a few popular image captioning methodologies, going from traditional encoder decoder architectures to more advanced techniques that incorporate attention mechanisms, transformers, and reinforcement learning. We evaluate the performance of these models on publicly available datasets containing logs from the online community Flickr on several dimensions including caption accuracy, diversity and computational efficiency. Captions are evaluated in terms of both quantitative metric(BLEU, ROUGE-N, METEOR, CIDEr, SPICE) and qualitative analysis(contextual relevance besides creativity) for the caption quality. The results show clear advantages and trade offs of each method, allowing for a holistic assessment of how each approach is suitable for real world problems. Thus, this work sheds important light on the trade offs between model complexity, efficiency and performance in image captioning tasks and provides a useful reference for researchers making similar decisions about model design in similar tasks. © 2025 IEEE.

关键词： Deep reinforcement learning

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Exploration of distributed Power Transaction Mechanism Based on Blockchain 3

Exploration of Distributed Power Transaction Mechanism Based...

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3rd international conference on Networking systems.of AI, INSAI 2023

作者： Zhang, Shiming Ruan, Di Chen, Zhiming Economic and Technological Research Institute of State Grid Fujian Electric Power Co. Ltd. Fuzhou350001 China

ISBN: (纸本)9798350344660

The blockchain based distributed power trading mechanism is an emerging energy trading model that improves the operation of the energy market by utilizing the decentralized, secure, and transparent features of blockchain technology. This article explored a blockchain based distributed power generation market-oriented transaction model, including transaction process and direct transaction mode. Subsequently, the research on consensus algorithms for distributed energy transactions was introduced in detail, including the consensus algorithm framework applicable to distributed energy transactions and the consensus process for distributed energy transactions. Finally, the consensus algorithm was subjected to experimental simulation and result analysis. The IDPOS (Improved Delegated Proof of Stack) consensus algorithm had higher consensus time, throughput, and fault tolerance than the traditional DPOS (Delegated Proof of Stack) consensus algorithm. Through the research in this article, the blockchain based distributed power trading mechanism can be better understood, providing reference and inspiration for the future energy market. © 2023 IEEE.

关键词： Consensus algorithm

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Requirement analysis of remote conference system based on qualitative and quantitative analysis combination 3

Requirement analysis of remote conference system based on qu...

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3rd international conference on Algorithms, Microchips, and Network Applications, AMNA 2024

作者： Yan, Yiping Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781510680098

Remote conference systems.play a crucial role in modern society. In order to design a high-quality system that meets user requirements, accurate analysis and selection of user needs to derive a functional list for the system is particularly important. This study is based on the KANO model and the Better-Worse index model, utilizing a combination of qualitative and quantitative analysis methods. By collecting and analyzing user needs, the aim is to gain a deep understanding of the true requirements for remote conference systems.and identify corresponding features to guide system design and development. The contribution of this study lies in providing a systematic approach for conducting requirement analysis of remote conference systems. © 2024 SPIE.

关键词： Quality control

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An Extensive Analysis of Breast Cancer detection using Deep Learning Algorithms 3

An Extensive Analysis of Breast Cancer detection using Deep ...

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

作者： Manoj, Milan Rajan, Akshay Santhosh, Gouri Anjali, T. Sankar, Panchami Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Amritapuri India Symbiosis Institute of Health Sciences Symbiosis International University Pune India

ISBN: (纸本)9798331532420

Breast cancer remains a significant global health concern around the world, where early and accurate detection is essential for improving patient outcomes. This work aims to outdo the traditional diagonosis methods by employing three deep learning models: a fully connected neural network (FCNN), a convolutional neural network (CNN), and a feedforward neural network (FNN). Each model was analyzed for its ability to distinguish between benign and malignant cases using minimal feature variables. Among the models, the FNN showed higher validation accuracy compared to the CNN, which, while proficient at detecting complex patterns, was less effective in structured data. The FCNN, with added dense layers, performed similarly to the FNN, suggesting that the inclusion of dense layers did not significantly enhance the model’s accuracy. This research presents an innovative comparison to recent studies, demonstrating the flexibility and adaptability of neural networks for breast cancer diagnostics. The models’ ability to improve detection accuracy can significantly impact healthcare by providing reliable tools for early intervention. The findings contribute to the growing body of evidence supporting the integration of artificial intelligence into clinical practice, paving the way for more personalized treatment plans, reduced misdiagnosis rates, and overall improved patient care outcomes in cancer detection and treatment. © 2024 IEEE.

关键词： Neural network models

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2023 3rd international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2023

2023 3rd International Conference on Advance Computing and I...

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3rd international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2023

ISBN: (纸本)9798350399264

The proceedings contain 575 papers. The topics discussed include: an analysis of medical images using deep learning;development and construction of an automated sanitizing robot incorporating ultrasonic sensor and sanitizer level detection sensor;mutual user authentication using inherent techniques for cloud and fog computing;design and optimization of downlink massive MIMO system based on OTFS modulation enabling modified 3D-SOMP channel estimation;comparative analysis of performance indicators to improve the quality in Indian educational institutions using Grd ensemble methods;improved algorithm for solar power systems.for efficient tracking system;cryptocurrency trading using machine learning;development of smart grid infrastructure in cybersecurity;development of a sleep monitoring system using cloud computing and big data techniques;and securing international law against cyber-attacks through blockchain integration.

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distributed Data Addressed in Natural Language 3

Distributed Data Addressed in Natural Language

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3rd international conference on Advanced Enterprise Information System (AEIS)

作者： Markova, Ina Ivanova, Krasimira Karastanev, Stefan ITHEA Inst Informat Theories & Applicat Sofia Bulgaria Univ Telecommun & Post Sofia Bulgaria Bulgarian Acad Sci Inst Mech Sofia Bulgaria

ISBN: (纸本)9798350359268

A distributed database management system provides the functionality of a centralized, but in an environment where data is distributed among the sites of a computer network or the nodes of a multiprocessor system. In this paper, we use a data storage approach based on Natural Language Addressing capabilities to support very large distributed databases with O(1) time complexity. We introduce two new data structures: a universal NLA-space and a concrete NLA-space. The NLA-space is a fundamentally new structure for the organization of distributed databases, which does not replace but naturally complements other widely used structures of database management systems. NLA-spaces open a wide field for research and practical implementation in the field of large databases with dynamic semi-structured data (Big Data).

关键词： nla-space distributed databases nla document spaces

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Self-recovery algorithm for islanded black-start load partitioning in distribution networks containing distributed power sources 3

Self-recovery algorithm for islanded black-start load partit...

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3rd international conference on Electronic Information Engineering, Big Data, and Computer Technology, EIBDCT 2024

作者： Liang, Lingyu Zhang, Huanming Zhao, Xiangyu Cao, Shang Huang, Wenqi China Southern Power Grid Digital Grid Research Institute Co. Ltd Guangdong Guangzhou510000 China

ISBN: (纸本)9781510680449

Fault localization is more difficult during islanding black start in distribution grids containing distributed power sources due to the lack of local measurement devices and communication systems. This may lead to inability to accurately determine the fault location, thus affecting the restoration process. In this regard, this paper proposes a load partitioning self-recovery algorithm for islanded black-starting of distribution grids with distributed power sources. First, the distribution network black-start process is modeled as a Markov decision process, and the corresponding states, actions of intelligences and rewards are designed. On this basis, an algorithm for solving the self-healing problem of distribution network based on improved deep Q-network is proposed. The power system topology is connected to a graph convolutional network to capture the complex mechanism of power system black-start. The potential features generated in the grid topology are utilized to learn a control strategy for grid self-healing using deep reinforcement learning. Finally, the effectiveness and practicality of the proposed algorithm is verified by case studies. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Electric power distribution

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