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检索条件"任意字段=Proceedings of the 2023 5th International Conference on Big Data Engineering and Technology"

共 11252 条记录，以下是71-80 订阅

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A Novel LSTM-KAN Networks for Demand Forecasting in Manufacturing 5

A Novel LSTM-KAN Networks for Demand Forecasting in Manufact...

引用

5th international conference on big data and Artificial Intelligence and Software engineering, ICBASE 2024

作者： Gong, Qingpeng Xue, Yuanfei Liu, Rui Du, Zhongkui Li, Shengjie Wang, Jiaming Sun, Guodong University of Science and Technology Liaoning School of Electronic and Information Engineering Liaoning Province Anshan China Macau University of Science and Technology School of Business 999078 China Shenzhen Polytechnic University Institute of Intelligence Science and Engineering Guangdong Province Shenzhen China Liaoning Petrochemical University School of Information and Control Engineering Liaoning Province Fushun China

ISBN: (纸本)9798331506612

this paper proposes a novel LSTM-KAN networks that combines Long Short-Term Memory Networks (LSTM) and Kolmogorov-Arnold Networks (KAN), and tests the performance of this network in handling time series forecasting tasks. By comparing the performance of this integrated neural networks with traditional LSTM networks in handling the product demand forecasting task, we found that it has significant advantages in training efficiency. In addition, the prediction accuracy is also improved by an average of 8.26% compared to traditional LSTM networks. this study verifies the feasibility of KAN in processing time series forecasting tasks, and it is valuable for exploring the performance potential of KAN. © 2024 IEEE.

关键词： Long short-term memory

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Digital Recipe Sharing and Copyright Protection Using Blockchain 5th

Digital Recipe Sharing and Copyright Protection Using Blockc...

引用

5th international conference on data Science, Machine Learning and Applications

作者： Sowmya, G. Roja, G. Maheswari, G. Uma Nagini, thota Prasanna, Potnuru Lakshmi MLR Inst Technol Dept CSE AIML Hyderabad India G Narayanamma Inst Technol Dept CSE AIML Hyderabad India VNRVJIET Dept CSE Hyderabad India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

In today's digital landscape, the surge in digital recipe sharing platforms has sparked concerns over copyright infringement and attribution of culinary creations. this paper delves into the innovative integration of blockchain technology to tackle these issues. We begin by examining the challenges faced by digital recipe sharing platforms, including rampant copyright violations. We then explore the transformative potential of blockchain, with its intrinsic characteristics of transparency, immutability, and decentralization, as a solution. the paper details the practical implementation of blockchain in recipe sharing platforms, emphasizing the role of smart contracts in automating copyright protection. Challenges like scalability and user adoption are addressed, along with strategies for mitigation. Ultimately, blockchain promises to revolutionize the culinary landscape, safeguarding creators' rights while nurturing a thriving digital culinary community.

关键词： Digital recipe sharing Copyright protection Blockchain technology Smart contracts Culinary creations Intellectual property Transparency Immutability Decentralization Culinary community

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Research on Surface ablative defect detection of improved Unet 5

Research on Surface ablative defect detection of improved Un...

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5th international conference on Machine Learning, big data and Business Intelligence, MLBDBI 2023

作者： Hu, Xindan Wu, Lichong Liu, GuangPeng Chen, Huan Zhuzhou Tianqiao Crane Co. Ltd School of Mechanical and Electrical Engineering China Lanzhou University of Technology School of Mechanical and Electrical Engineering China

ISBN: (纸本)9798350359930

Design of improved U-net detection method for ablation and contamination defects generated during electrolysis of nickel plates. Improve channel attention and perceptual field during feature extraction by fusing ECANet and ASPP *** model ablation experiments and comparative analysis with classical semantic segmentation network were conducted. the results show that the algorithm in this paper outperforms other algorithms in detecting sheet ablation defects, and mIoU and mPA are improved by 5.07% and 3.54%, respectively, compared with those before improvement. © 2023 IEEE.

关键词： Ablation

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the application of big data to the conservation of wildlife in highland areas 24

The application of big data to the conservation of wildlife ...

引用

6th international conference on big data engineering (BDE)

作者： Liu, Chenlong Hui, Baofeng Li, Mingxiao Qinghai Minzu Univ Xining Peoples R China

ISBN: (纸本)9798400717857

the protection of wildlife is pivotal to the maintenance of biodiversity and the preservation of ecological balance. the ecological environment in the plateau region is obviously different from other regions, and the wildlife species in the plateau region are special and of high research value, which are significantly more difficult to discover and protect than those in the plains. this paper discusses the application of big data technology in the protection of wildlife in plateau areas. By collecting large amounts of data from drones and cameras, analyzing and processing images using deep learning-based YOLO v8 and introducing attention mechanisms and data enhancement modules to improve efficiency, different species of wildlife can be better identified to understand their habitats, migration routes, and population sizes, which can provide scientific evidence for the development of effective Provide scientific basis for formulating effective protection measures. Comprehensive protection of wildlife in the plateau region can be realized by comprehensively utilizing big data technology to promote ecological balance and sustainable development.

关键词： highland area wild animal big data protection monitors

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OGIG: A Botnet Detection Model Integrating Graph Structural Modeling and Time Series Analysis 5

OGIG: A Botnet Detection Model Integrating Graph Structural ...

引用

5th international conference on big data and Artificial Intelligence and Software engineering, ICBASE 2024

作者： Wang, Wei Yang, Ying Hou, Yangzhi Yu, Zhaoyong Ma, Wenhao Qilu University of Technology College of Computer Science and Technology Jinan China Jinan China

ISBN: (纸本)9798331506612

Botnets represent a severe cyber security threat, and their accurate and efficient detection is pivotal for safeguarding network security. this paper introduces a novel botnet detection model, termed OGIG, that synergistically integrates the strengths of OrderedGNN, Linformer, and Gated Recurrent Unit (GRU). Our proposed approach performs feature fusion by combining the structural features extracted by OrderedGNN and the temporal features extracted by GRU, which are subsequently fed into a classifier for botnet detection. Empirical evaluations on the ISCX-Bot-2014 dataset illustrate that our model achieves superior performance compared to other mainstream methods. © 2024 IEEE.

关键词： Bot (Internet)

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Effective Communication Using Generative AI 5th

Effective Communication Using Generative AI

引用

5th international conference on data Science, Machine Learning and Applications

作者： Hegde, Nagaratna P. Vikkurty, Sireesha Sriperambuduri, Vinay Kumar Srikanth, Bingi Rao, Kakumanu BalaSubba Vasavi Coll Engn Dept CSE Hyderabad Telangana India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

Artificial Intelligence (AI) has experienced substantial progress in recent times, resulting in the birth of ChatGPT, a cutting-edge conversational AI model. Fuelled by advanced learning techniques and natural language processing (NLP), ChatGPT has completely altered the way humans engage with machines. this research document presents a thorough examination of ChatGPT, delving into its framework, training approach, uses, and moral concerns. Additionally, it spotlights the potential obstacles and forthcoming directions for enhancing ChatGPT's capabilities [1], with the aim of achieving even more authentic and dependable conversational interactions.

关键词： ChatGPT Artificial Intelligence Prompt data Set Transformer Model OpenAI

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Research on Optimization Strategy of data Skew Problem Based on Hive Partitioning Mechanism 5

Research on Optimization Strategy of Data Skew Problem Based...

引用

5th international conference on Decision Science and Management, ICDSM 2023

作者： Wang, Hongyuan Ye, Xingdong Guangdong University of Science and Technology 523083 China

ISBN: (纸本)9798350325010

Due to the complex structure and large scale of big data, there are also data skew problems caused by uneven data distribution and the limitations of default partitioning algorithm, which is also a common performance bottleneck in distributed computing, and seriously affects the overall resource utilization of the system. Based on the execution principle of MapReduce, this paper proposes Hive based load balancing methods such as random prefix, preaggregation, parameter tuning, etc., in order to improve computing parallelism and reduce application completion time. © 2023 IEEE.

关键词： MapReduce

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Research on Standard Driven Aerospace Software Quality Improvement technology Based on Quality Chain 5

Research on Standard Driven Aerospace Software Quality Impro...

引用

5th international conference on big data and Artificial Intelligence and Software engineering, ICBASE 2024

作者： Zhao, Shuang Niu, Shengfen Chen, Jianchao Wang, Dandan Li, Shoubin Beijing Institute of Tracking and Communication Technology BeiJing China The Institute of Software Chinese Academy of Sciences State Key Laboratory of Intelligent Game BeiJing China

ISBN: (纸本)9798331506612

Based on the current characteristics of aerospace equipment software development, this paper studies the quality improvement technology of aerospace equipment software based on the 'quality chain'. Starting from two different dimensions of project management and software development, based on process and product quality data, and oriented towards the entire software lifecycle, a quality chain is constructed to carry out quality assessment of aerospace equipment software based on the quality chain. Weak links are identified and improvement suggestions are given to drive quality control and verification, thereby improving the quality of aerospace equipment software. © 2024 IEEE.

关键词： Analytic Hierarchy Process Quality Chain Quality Evaluation Software Quality

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Clustering Mixed data: Bridging the Gap with Deep Learning 5th

Clustering Mixed Data: Bridging the Gap with Deep Learning

引用

5th international conference on data Science, Machine Learning and Applications

作者： Yerra, Harini Kommu, Siddartha Kumar, B. Vijay Sudam, Rachana JB Inst Engneering & Technol Dept Informat Technol Hyderabad India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

In the realm of data clustering, the Deep Embedded Clustering (DEC) algorithm has earned a reputation for efficiently grouping data points. Its limitation is that it only deals with numerical data. In real-world scenarios, data is often a mixture of numerical and categorical attributes, posing a more intricate challenge. this project presents an enhanced version of the DEC framework, tailored to address the complexities of mixed data clustering. It incorporates embedded layers and soft-target updates to ensure seamless handling of both numerical and categorical attributes, maintaining convergence stability throughout the process. It also uses the concept of a "deep reinforcement learning" In the evaluation process, the proposed approach performed better than standard metrics.

关键词： data Clustering Mixed data soft target updates Deep Learning Framework

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technology of Creation Term Papers in Electrical engineering Dicsiplines in the Online Learning Environment 5

Technology of Creation Term Papers in Electrical Engineering...

引用

5th IEEE international conference on Modern Electrical and Energy System, MEES 2023

作者： Babenko, Dmytro Dotsenko, Nataliia Gorbenko, Olena Mykolayiv National Agrarian University Mykolayiv Ukraine Mykolayiv National Agrarian University Department of General Technical Disciplines Mykolayiv Ukraine Mykolayiv National Agrarian University Department of Agroengineering Mykolayiv Ukraine

ISBN: (纸本)9798350359787

In the article is presented the technology of creation term papers in electrical engineering in the online learning environment. the necessity of training electrical engineering specialists in modern conditions as well as acquisition the professional competencies during preparing term papers are outlined. the proposed technology consists of five stages: preparatory, analytical, calculation, modelling and discussion. the training in online learning environment for electrical engineers have some peculiarities that occurs due to the big amount of data, calculations and using special engineering programs. So, there is a need not only use the digital environment of the higher educational institution but the involve the use of third-party engineering programs. According to each stage of the proposed technology there is outlined some types of the soft that can be used. the result of this technology is the creation of term papers that allow students to gain competencies in those disciplines while earning points in the online learning environment. the obtained results were checked statistically that confirms the efficiency of creation term papers in electrical engineering in the online learning environment. © 2023 IEEE.

关键词： Paper

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