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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551-560 订阅

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Flower classification Model based on improved attention 3

Flower classification Model based on improved attention

引用

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

作者： Tang, Yilei Yang, Jundong Xu, Qianxue Wang, Honglin Ding, Hongwei Yunnan University School of Information Science and Technology Kunming China

ISBN: (纸本)9781665490788

At present, the flower classification method is mainly based on the deep learning method. The deep learning model is used to classify flowers. However, most of the models are based on their own structure to build a complex structure, which requires high training requirements for the model and carries a large network burden. Attention model is widely used in the field of computer vision. Adding attention model to convolutional neural network can significantly improve the performance of the network without increasing the burden of model training. Therefore, this paper improves on BAMxs's attention and integrates it into the deep learning model, using the self-built data set of 7 flower categories for experiments. The experimental results show that the accuracy rate is improved by 2.81% after integration into the network, and compared with common attention, the network performance can be greatly improved by introducing a few parameters into the attention model. © 2023 ieee.

关键词： Learning systems

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Outline of 4G Unlicensed Bands in 3GPP LTE-Advanced Operator Duplex 3

Outline of 4G Unlicensed Bands in 3GPP LTE-Advanced Operator...

引用

3rd international conference on Advancement in Electronics and Communication Engineering, AECE 2023

作者： Singh, Bharat Goswami, Pankaj Kumar Singh, K. Ranjith Kumar, V.P. Arul Mathurkar, Piyush School of Computer Science and Applications Iimt University Meerut India Tmu Department of Ece India Karpagam Academy of Higher Education Coimbatore Department of Computer Science India Karpagam Institute of Technology Department of Information Technology Coimbatore India Vishwakarma Institute of Information Technology E&tc Pune India

ISBN: (纸本)9798350330724

Wireless networks must work in broader connection speeds to meet the steadily rising demand for faster transmission and data speeds. In order to increase data speeds and customer engagement while lowering their cost OPEX but instead Expenditure, carriers can use their opportunistic spectrum capabilities as fully and efficiently as possible with 3gpp Release with multiple access. This paper offers an instructional summary of 3gpp Release with mobile communications as defined in Rel-10, covering interesting implementation situations, significant design elements, Network processes, and possible improvements for subsequent enhanced editions © 2023 ieee.

关键词： Wireless networks

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Research on the application of Artificial Intelligence Technology in Economic Management in the Information Age 3

Research on the Application of Artificial Intelligence Techn...

引用

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

作者： Zuo, Xuerong Hohai University School of Marxism Jiangsu Nanjing China

ISBN: (纸本)9781665490788

With the rapid development of information technology and Internet technology, artificial intelligence (AI) innovation technology has made breakthrough progress, which has important impact and significance for economic society. By analyzing four economic effects of AI, including intelligent penetration effect, boundary extension effect, knowledge creation effect and self-deepening effect, this paper probes into the main factors of artificial intelligence affecting economic growth, specifically from three angles of labor factor, capital factor and production technology. In addition, this paper also empirically tests the relationship between artificial intelligence and economic growth according to three important indicators of artificial intelligence, such as industrial scale, patent number and financing scale, and further demonstrates the significant impact of artificial intelligence on economic growth. © 2023 ieee.

关键词： Economic and social effects

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A UWB Ranging Error Compensation Method Based on Grid Search and Ridge Regression 3

A UWB Ranging Error Compensation Method Based on Grid Search...

引用

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

作者： Lv, PinBo Chen, Yu Ma, XinPeng Zhao, Yi Changchun University of Science and Technology School of Electronic and Information Engineering Changchun130022 China

ISBN: (纸本)9798350316674

Ultra-Wideband (UWB) technology, characterized by its wide-ranging applications in wireless positioning and communication domains, has garnered significant attention. Nevertheless, practical implementations of UWB ranging systems encounter a multitude of challenges, including issues stemming from multipath propagation, signal attenuation, and systematic errors induced by hardware-related factors. These complexities often give rise to range measurement inaccuracies. This study aims to address the issue of UWB ranging errors by introducing a novel error compensation method, with the objective of enhancing the precision of UWB positioning systems. This paper introduces an error compensation algorithm based on Grid-Regularized Polynomial Regression, designed to effectively rectify errors inherent in UWB ranging systems, thereby leading to a substantial improvement in positioning accuracy. Through extensive experimental validation and in-depth comparative analyses with traditional approaches, our research findings demonstrate that this error compensation method significantly reduces ranging errors, further elevating the performance of UWB technology in various application domains. © 2023 ieee.

关键词： Error Compensation Grid-Regularized Polynomial Regression Systematic Errors

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Rural Tourism Project Design and Development Research under DIY Mode 3

Rural Tourism Project Design and Development Research under ...

引用

3rd international conference on Digital data Processing, DDP 2023

作者： Chen, Ning Zhanjiang University of Science and Technology Zhanjiang Guangdong524094 China

ISBN: (纸本)9798350329018

This study mainly focuses on the design and specific development of rural tourism projects in DIY mode. Based on the definition of the concept of DIY tourism mode, this paper briefly expounds on the operation experience of Japan's DIY tourism mode. It summarizes the development and product design of China's rural tourism projects under the DIY mode. The study found that rural tourism has relatively rich tourism resources, significant differences from other tourism types, relatively low operating costs, and is particularly suitable for DIY tourism development mode, the DIY travel ideas and specific methods used in developing rural tourism in our country, can effectively improve the rural tourism in our country the overall value of the project. © 2023 ieee.

关键词： Product design

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Taxi Passenger Flow Prediction Based on Hotspot Clustering and Neural Networks

Taxi Passenger Flow Prediction Based on Hotspot Clustering a...

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

作者： Lingru Meng Hongwei Su Guoxing Wen College of Economics and Management Binzhou University Binzhou China College of Science Binzhou University Binzhou China

With the development of society and urban expansion, the increase in urban population has led to growing transportation pressures. Therefore, predicting passenger flow and consequently planning taxi routes have become urgent problems to solve. In this paper, Chengdu taxi GPS trajectory data is utilized. Convolutional Neural Networks (CNN) are used to extract features from vacant taxi periods and locations. Long Short-Term Memory (LSTM) networks and clustering algorithms are employed to predict and determine passenger hotspot areas based on data-driven approaches. By integrating neural networks with temporal and spatial distribution features of passenger flow, this method effectively reflects the dynamics of taxi passenger flow. Simulated experiments are conducted on Chengdu taxi GPS routes. The experimental results demonstrate that the proposed model outperforms existing methods. The findings indicate that the model effectively uncovers the spatiotemporal correlations in taxi passenger flow data, leading to accurate predictions.

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A Study on Interpolation of Missing Values in Multivariate Sand and Dust data Considering Timeseries Features 3

A Study on Interpolation of Missing Values in Multivariate S...

引用

3rd international conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology, AIoTC 2024

作者： Wang, Yongsheng Tan, Shiyi Wang, Gang Liu, Guangwen Liu, Chunlei School of Data Science and Application Inner Mongolia University of Technology Hohhot010080 China

ISBN: (纸本)9798331530280

The production and survival of humans are threatened by sand and dust storms;yet, the research of sand and dust storms is always beset by the issue of partially absent data. In order to address the missing data issue, we presented the sand-dust data interpolation technique (SDIM) in this study. While maintaining the overall structure of the Transformer model, our model employs an automatic coding and decoding technique for improved interpolation of sand and dust data, along with a timelag decay strategy along with positional coding and masking matrices. The associated results analysis reveals that the three evaluation indexes of mean absolute error, mean absolute percentage error, and root mean square error are the lowest when compared to the interpolation performance of conventional data interpolation methods like mean interpolation. © 2024 ieee.

关键词： Interpolation

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Enhancing Bitcoin Price Predictions with a data Selection Approach for Linear Regression 3

Enhancing Bitcoin Price Predictions with a Data Selection Ap...

引用

3rd ieee international conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Manu, Y.M. Gagana, R. Adichunchanagiri University Department of Computer Science BGS Institute of Technology Mandya BG Nagara India

ISBN: (纸本)9798350317022

This research employs a Selective Neural Network Ensemble driven by Genetic Algorithms, employing an Artificial Neural Network ensemble methodology. The ensemble incorporates base model of any neural network is the multi-layered perceptron. Aim to explore the correlation between Bitcoin's features and its subsequent day's price movement. Leveraging approximately 200 cryptocurrency attributes over a two-year span, the ensemble predicts the direction of Bitcoin's price the following day, aiming to assess its practicality and relevance in real-world scenarios. In a comparative the ensemble-based trading strategy is evaluated using back-testing analysis over a 50-day period versus a 'prior day trend' trading approach. The former approach demonstrated noteworthy results, offering insights into its potential effectiveness. The best data range for training a Bitcoin price prediction model is determined by applying financial terms and methods, such as Simple Moving Average and Exponential Moving Average, as described in the article. A Linear Regression Model addresses the problem of choosing the appropriate dataset for improved forecasting results, achieving a high 97% prediction accuracy by adhering to the model's recommended data piece. © 2023 ieee.

关键词： ANN Cryptocurrency Machine Learning

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Aegyptos: Mobile application for Hieroglyphs Detection, Translation and Pronunciation 3

Aegyptos: Mobile Application for Hieroglyphs Detection, Tran...

引用

3rd international Mobile, Intelligent, and Ubiquitous Computing conference, MIUCC 2023

作者： Mohsen, Shehab ElDin Mansour, Reem Bassem, Ahmed Dessouky, Basma Refaat, Samira Ghanim, Taraggy M Misr International University Faculty of Computer Science Cairo Egypt

ISBN: (纸本)9798350306231

Hieroglyphs have always been fascinating with their stories and the ability to be read in several ways rather than one, which is a challenge in itself to be translated to modern languages. However, the full experience of getting familiar with these captivating historical stories will not be fulfilled if this translation was not on spot, and hence the tough challenge is met. The idea of Aegyptos was brought up to help learn how to read Hieroglyphs with respect to how the same symbol can have two different meanings according to the context, and also help to pronounce them by using a tool at the palm of users' hands with just their phones' live cameras. Performing segmentation on the symbols using different segmentation techniques like Otsu Thresholding, while a lightweight CNN known as SqueezeNet is used for classification with the help of an API to translate the script into a language understood by the user. © 2023 ieee.

关键词： Translation (languages)

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An Empirical Analysis of Electric Vehicle in Urban Transportation Market Using Deep-Learning Techniques 3

An Empirical Analysis of Electric Vehicle in Urban Transport...

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3rd ieee international conference on Sustainable Energy and Future Electric Transportation, SeFet 2023

作者： Tripathy, Nrusingha Hota, Sarbeswara Satapathy, Pranati Nayak, Subrat Kumar Prusty, Sashikanta Siksha 'o' Anusandhan Deemed to Be University Department of Computer Science and Engineering Odisha Bhubaneswar India Siksha 'o' Anusandhan Deemed to Be University Department of Computer Application Odisha Bhubaneswar India Utkal University Department of Imca Odisha Bhubaneswar India

ISBN: (纸本)9798350319972

Market segmentation becomes a vital strategy for emerging markets to investigate and execute for widespread adoption of emerging mobility technologies like Electric Vehicles (EVs). As a low emission and low operating cost vehicle, EV adoption is anticipated to increase drastically in the near future. As a result, it will stimulate a significant amount of future academic study interest. The primary goal of this study is to investigate and identify several groups of prospective EV buyers according to psychographic, behavioural, and socioeconomic factors by combining the methodologies of 'perceived benefits-attitude-intention.' To operationalize and validate data segments, the study used powerful analytical techniques such cluster analysis, multiple discriminant analysis, and the Chi-square test. According to the research, there are three separate youthful consumer and market segmentation groups known as Behavioral Segmentation, Psychographic Segmentation and Demographic segmentation who are thought to be forming relationships with EV customers. The consequences are suggested, which can provide some useful direction for academics and policymakers to promote the adoption of EVs against the backdrop of the developing sustainable transportation sector. © 2023 ieee.

关键词： Cluster analysis

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