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检索条件"任意字段=2023 IEEE 3rd International Conference on Data Science and Computer Application, ICDSCA 2023"

共 3023 条记录，以下是381-390 订阅

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Distribution Network Theoretical Line Loss Analysis Based on BP Neural Network Algorithm 3

Distribution Network Theoretical Line Loss Analysis Based on...

引用

3rd international conference on Consumer Electronics and computer Engineering, ICCECE 2023

作者： Ye, Xin Lv, Zhiming Jiangxi University of Science and Technology School of Information Engineering Ganzhou Jiangxi China State Grid Ganzhou Company GanZhou JiangXi China Jiangxi Ganzhou Institute of Technology Department of Information Engineering Jiangxi Ganzhou China

ISBN: (纸本)9798350331578

In order to use accurate and easy-To-use line loss calculation method to calculate the theoretical line loss of distribution network, this paper proposes the use of BP neural network algorithm. Aiming at the disadvantage that it is easy to converge to the local optimal solution, the optimization method is combined with multi-Algorithm. Finally, 68 distribution line data sets are used to demonstrate the optimization method, and the hybrid algorithm of multi-Algorithm superiority fusion is confirmed to have the highest accuracy and convergence speed. © 2023 ieee.

关键词： Neural networks

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Emotional Reactivity Classification Using Artificial Intelligence Based on Twitter in Bahasa Indonesia 3

Emotional Reactivity Classification Using Artificial Intelli...

引用

3rd ieee international conference on Social sciences and Intelligence Management, SSIM 2023

作者： Paramita, Greta V. Andangsari, Esther W. Kemala, Ade P. Ali, Moondore M. Putri, Trisa M. Puspita, Katarina I. Bina Nusantara University Faculty of Humanities Psychology Department Jakarta Indonesia Data Science Program School of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9798350327786

Twitter is one of Indonesia's most widely used social media to express positive and negative emotions. Negative emotions are referred to as emotional reactivity, an example of which is depression. To detect emotional reactivity, Artificial Intelligence (AI) was used. With deep learning pretrained model methods (IndoBERT and IndoBERTweet), AI successfully classified emotional reactivity. AI satisfactorily detected emotional reactivity on Twitter. © 2023 ieee.

关键词： Deep learning

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An Enhancement Algorithm for Mobility over Fog Computing 3

An Enhancement Algorithm for Mobility over Fog Computing

引用

3rd ieee international conference on Electronic Engineering, ICEEM 2023

作者： Hussien, Doaa Abo El-Sisi, Ashraf El-Bahnasawy, Nirmeen A. Menoufia University Faculty of Electronic Eng. Computer Science & Eng. Dept. El-Menoufia Egypt Menoufia University Faculty of Computers and Information Computer Science Department El-Menoufia Egypt

ISBN: (纸本)9798350323511

Due to the mobility of users and end devices, providing continuous service in Fog Computing (FC) is a difficult challenge. With fog-assisted IoT healthcare frameworks, dealing with user mobility becomes even more complex because low latency in mobility support and fog node locating is a critical requirement. In this work, we offer a fog computing architecture with hand-over strategy that is tailored to user mobility and that reduces latency for location-sensitive operations and service stability with great data broadcast quality. In our design, it is no longer necessary to either complete a work or send it to the cloud;instead, it is necessary to connect with other FNs to continue with a request for a new job. This reduces average network delay by 30%-40% and increases end-to-end communication by 35%-45%. © 2023 ieee.

关键词： Fog computing

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Intrusion Detection Techniques For Security and Privacy of 6G applications 3

Intrusion Detection Techniques For Security and Privacy of 6...

引用

3rd international conference on Secure Cyber Computing and Communications, ICSCCC 2023

作者： Kohli, Priya Sharma, Sachin Matta, Priya Graphic Era Hill University Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350300710

With its extraordinarily high speed, high computational cost, and significant requirement, 6G is an emerging technology. It has security and privacy issues as a result of being wireless and dynamic. Real-time data about legally registered cars and their drivers can be compromised by an unauthorized intrusion into a node over a fully connected network. Such actions could slow down the network or jeopardize its reliability. The unauthorized invasion of a node across a network is described in relation to many popular algorithms and strategies. Regressive along with the discussion of upcoming work, comparative examination of previously offered methodologies is conducted. © 2023 ieee.

关键词： Intrusion detection

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Research on Wordle Development Based on Multiple Artificial Intelligence Models

Research on Wordle Development Based on Multiple Artificial ...

引用

data science and computer application (icdsca), ieee international conference on

作者： Yifan Du Haojie Jiang Zengcheng Ding Jiayu Huang Menglu Qi School of Economics Hangzhou Normal University Hangzhou China School of Information Science and Technology Hangzhou Normal University Hangzhou China School of International Studies Hangzhou Normal University Hangzhou China School of Economics and Management China Jiliang University Hangzhou China

In order to conduct a study of Wordle's development, firstly, forecasts were made using an ARIMA time series analysis model, and the data were further processed using a weighted moving average method so that the forecast values would more accurately reflect future short-term trends. A multiple linear regression model was then chosen and the frequencies of each letter and common letter combination were calculated for the entire dataset. Further, a word cloud was plotted in this paper. By training different models, the linear regression model was found to have the smallest error value and a strong correlation coefficient between letters, letter combinations and number of answers was obtained. Using the strong correlation factors as sample features for multiple linear regression, the trained models were used to accurately predict the word 'eerie'.

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Flexible Capacitive Pressure Sensors and Their applications in Electronic Skin 3

Flexible Capacitive Pressure Sensors and Their Applications ...

引用

3rd international conference on Electronic Information Engineering and computer science, EIECS 2023

作者： Wang, Yuming Li, Yunzhou Song, Yuanheng Gao, Zhangwei Qingdao University Department of Automation Qingdao China Chongqing Depu Foreign Language School Chongqing China Wuhan Britain-China School Wuhan China

ISBN: (纸本)9798350316674

Pressure sensor is an important component of wearable devices, and flexible capacitive pressure sensors are the first choice because of the advantages of low impedance, low power, and high stability. The sensor that is in direct contact with the skin is called electronics skin, and its main purpose is to detect various indicators of the target group and provide feedback. To meet people's pursuit of comfortable and efficient electronic skin, new materials and technologies are adopted for flexible capacitive pressure sensors. In this paper, the function and improvement process of flexible capacitive pressure sensors and their specific application on electronic skin were reviewed. Firstly, this paper introduces the principle of flexible capacitance pressure sensor and the structure of a simple capacitive pressure sensor. Then, the preparation methods and technologies of flexible capacitive pressure sensors in recent years are summarized, mainly involving the popular three-dimensional (3D) printing technology and organic polymer materials. Finally, the application of the flexible capacitive pressure sensor in the skin is summarized, such as health inspection, environment inspection and human-computer interaction. © 2023 ieee.

关键词： application capacitive pressure sensor electronic skin

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Research on the application of Deep Learning Framework Enhanced with GA-PIO Hybrid Algorithm in Intelligent Rice Variety Classification 3

Research on the Application of Deep Learning Framework Enhan...

引用

3rd international conference on Electronic Information Engineering and computer science, EIECS 2023

作者： Zhuang, Mengting Zhou, Kang Wuhan Polytechnic University School of Mathematical and Computer Sciences Wuhan China

ISBN: (纸本)9798350316674

Rice is one of the main staple foods worldwide, and accurate variety classification is a critical aspect in its production and distribution. This study established a dual-layer optimization framework that integrates the GA-PIO fusion algorithm and deep learning technology, aiming to achieve precise classification of rice varieties. This framework encompasses three core stages: feature extraction, optimization of the external network structure, and internal parameter tuning, utilizing Bayesian methods and the GA-PIO fusion algorithm for layer-by-layer network optimization. Moreover, a dynamic variance threshold adjustment adaptive method has been introduced within the GA-PIO, enhancing the diversity of the population and avoiding premature convergence to local optimums. Through experiments, the BP model achieved an average classification accuracy rate of 93.10%. © 2023 ieee.

关键词： Feature Extraction GA-PIO Hybrid Algorithm Neural Network Optimization

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A Survey of data science for Small and Medium-Sized Enterprises (SMEs) 3

A Survey of Data Science for Small and Medium-Sized Enterpri...

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3rd international conference on Digital data Processing, DDP 2023

作者： Dechaprakrom, Kamoltip Ketmaneechairat, Hathairat Pibulsongkram Rajabhat University Faculty of Management Science Phitsanulok Thailand Information and Production Technology Management King Mongkut's University of Technology North Bangkok Faculty of College of Industrial Technology Bangkok Thailand

ISBN: (纸本)9798350329018

This paper presents a comprehensive survey on the challenges and opportunities of implementing data science in small and medium-sized enterprises (SMEs) to enhance their decision-making processes. data science has the potential to empower SMEs by enabling them to make well-informed, data-driven decisions. The paper focuses on exploring the relationship of data science in SMEs, outlining data science methodologies applicable to SMEs, and highlighting the advantages that data science can bring to these enterprises. As SMEs increasingly recognize the importance of data science, its potential to maximize efficiency, reduce costs, and gain a competitive edge becomes evident. In conclusion, this paper emphasizes the growing necessity for SMEs to incorporate data science into their business strategies to foster growth. © 2023 ieee.

关键词： Decision making

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Image Vision-Based Pull-Up Recognition 3

Image Vision-Based Pull-Up Recognition

引用

3rd international conference on Electronic Information Engineering and computer science, EIECS 2023

作者： Ke, Mingyan Tang, Haoran Zhu, Huanan Li, Mo Beijing University of Information Science and Technology Changping Beijing China

ISBN: (纸本)9798350316674

With the accelerated pace of modern life and increased work pressure, people tend to live in an extremely depressing and lack of exercise environment, and diseases and various physical health conditions come one after another. Therefore, this project team plans to use the Kinect sensor launched by Microsoft to achieve the pull-up test automatically, and apply it to the general public. This project is based on image vision to identify and analyse pull-ups, using Kinect V2 to interact with LabVIEW, and extracting and identifying human bones through Kinect and analysing the data information. When LabVIEW receives the coordinate data of each bone point of the user, it uses the coordinate height comparison between the head and the crossbar and the size of the bending degree of the arm to judge the counting. And levels have been added so that users get a workout while experiencing the fun of getting through the levels. © 2023 ieee.

关键词： Kinect V2 LabVIEW pull-up recognition skeleton recognition

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Proceedings of 2023 ieee 3rd international conference on Information Technology, Big data and Artificial Intelligence, ICIBA 2023

Proceedings of 2023 IEEE 3rd International Conference on Inf...

引用

3rd ieee international conference on Information Technology, Big data and Artificial Intelligence, ICIBA 2023

ISBN: (纸本)9781665490788

The proceedings contain 333 papers. The topics discussed include: a Q-learning based service importance routing approach for power communication networks;image classification of wild mushroom using SWIN transformer by object positioning;research on identification method for electricity user of agricultural irrigation and drainage based on feature fusion and voting strategy;security protection mechanism of core data of industrial internet identification analysis in power industry;a fault knowledge graph creation method and application based on fault tree analysis and failure mode, effects and criticality analysis;three-dimensional reconstruction of traditional Chinese medicine decoction pieces using a 2D computer vision system;inexact alternating direction method for variational inequality problems with second-order cone double constraints;cross energy variety adjustable resources in typical scenarios participate in grid interaction;finite element analysis of ultrasonic propagation characteristics of two-point partial discharge in oil-immersed transformer;calculation method of output simultaneous coefficient of regional photovoltaic power station considering photovoltaic capacity ratio;and research on new energy direct participation in cross-provincial power trading mechanism.

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