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检索条件"任意字段=8th IEEE International Conference on Software Engineering and Computer Systems, ICSECS 2023"

共 1528 条记录，以下是171-180 订阅

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Accurate Short Text Classification for Improving Accuracy by using Bi-LSTM in comparison with LSTM 8

Accurate Short Text Classification for Improving Accuracy by...

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8th ieee international conference on Science, Technology, engineering and Mathematics, ICONSTEM 2023

作者： Kishan Reddy, J. Devi, T. Saveetha University Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Tamilnadu Chennai602105 India

ISBN: (纸本)9798350347791

Improvement of accuracy is the goal in every term consisting text methods by using Bi-LSTM and to perform comparison with LSTM. For the short text classification, the proposed system Bi-Directional Long Short Term Memory will have a comparison with Long Short Term Memory as well as result becomes decided by major roles. Machine Learning algorithms based Bi-LSTM (N=26) and LSTM (N=26) were used for the implementation of the research. the research work uses 52 samples for testing. the test is calculated using two groups which are associated with the value of G power 80%. Statistical analysis for two groups is considered where SPSS software is utilized for observing the performance. the comparison shows that Bi-LSTM has better mean accuracy taking value as 85.62% when compared with LSTM where mean accuracy produced is 78.15% with significant value takes 0.302 (p>0.05). Bi-LSTM has better accuracy than the LSTM while considering the results obtained from experiments. © 2023 ieee.

关键词： Long short-term memory

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Investigation on Insurance Purchase Classification for Insurance Recommendation Using Deep Learning and Class Propagation

Investigation on Insurance Purchase Classification for Insur...

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international conference on software engineering and computer systems (icsecs)

作者： Jasmin Z. K. Chu Joel C. M. than Pun Liang thon Hudyjaya Siswoyo Jo Faculty of Engineering Computing and Science (PG) Swinburne University of Technology Sarawak Kuching Sarawak Malaysia Faculty of Engineering Computing and Science Swinburne University of Technology Sarawak Kuching Sarawak Malaysia

A majority of insurers are in the opinion that Artificial Intelligence (AI) has potential to create a better customer experience, improve direction-making and achieve cost savings. One area of interest for AI in insurance is in the area of recommendation of on-demand insurance policies. this automated recommendation can expedite the process of insurance recommendation as it does not involve any agents. this research involves the utilization of insurance dataset, comprising 9422 records and 86 customer features related to social-demographics and insurance purchases. the data is transformed into a graph-based representation using Stellar Graph to capture the interrelationships between features and fit into a Graph Convolutional Network (GCN). Additionally, other AI techniques such as Long Short-term Memory Networks (LSTM), Decision Tree (DT), and Support Vector Machines (SVM) were also considered. To address the issue of imbalanced data in the dataset, various class propagation techniques such as Borderline-SMOTE, Adaptive Synthetic Sampling Approach (ADASYN), and Gaussian Copula were employed with different data size ratio distributions. Overall, GCN performs well with 50:50 ratio distribution in three of the different oversampling techniques, indicating that the graph- based structure and processing algorithm of GCN are suitable for recommendation systems.

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Real Time Virtual Yoga Tutor 8

Real Time Virtual Yoga Tutor

引用

8th ieee international conference for Convergence in Technology, I2CT 2023

作者： Anuradha, M. Rao, Adithya Shreyas, S. Sanjaya, K.C. PES University ECE Department Bangalore India PES University Electronics and Communications Engineering Bangalore India

ISBN: (纸本)9798350334012

Articulated pose estimation in computer vision is the field of research that deals with the development of algorithms and systems that can determine the position and orientation of an articulated body, such as a human body, in 3D space. It has a wide range of applications, including motion capture, human-computer interaction, and robotics. In the context of the project, the goal is to estimate the position of human body parts and joints in each image, using a pre-trained pose estimation model, MediaPipe. the data obtained from this model is then used to explore various applications, with the focus being on building a yoga monitoring system. the system analyzes and tracks the user's movements and postures, identifying any errors in their yoga routine. this allows the system to provide real-time feedback to the user, pointing out any inaccuracies in their body pose, so they can correct their mistakes. © 2023 ieee.

关键词： Classification (of information)

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PCDA Model for Prediction and Analysis of Post COVID-19 Disease 8

PCDA Model for Prediction and Analysis of Post COVID-19 Dise...

引用

8th international conference on Communication and Electronics systems, ICCES 2023

作者： Mishra, Sumit Kumar Sharma, Abhishek Singh, V.K. Chandigarh University Computer Science & Engineering Punjab India Gla University Computer Science & Engineering Mathura India Bbdniit Computer Science & Engineering Lucknow India

ISBN: (纸本)9798350396638

A novel corona virus explored in an outbreak of viral pneumonia in all the countries. As we all know that in current living scenario COVID-19virus has created havoc and due to this mayhem, it has affected many countries. the virus has also gone through various mutations leading to the second and third wave as pandemic in several countries. Apart from this, those who have already recovered are still facing severe health issues due to post complications of COVID. In this paper we have tried to analyze various postCOVID-19 diseases and their after effects. As we know that current scenario different diseases and biomedical infection affect the human body and after COVID 19 the chance of this infection occurs in doubling ratio rapidly. So that author tries to find the ration percentage and optimal solution to detect the chance of these diseases using machine learning algorithm such as EM. © 2023 ieee.

关键词： COVID-19

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Research on automatic obstacle avoidance algorithm for intelligent networked vehicles 8

Research on automatic obstacle avoidance algorithm for intel...

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8th international conference on Information systems engineering, ICISE 2023

作者： Li, Yingying Wang, Fuzheng Li, Jinmei Liang, Fei Pan, Xiang Guangxi Vocational Normal College School of Computer and Information Engineering Nanning China

ISBN: (纸本)9798350307009

this paper proposes an optimised artificial potential field obstacle avoidance algorithm, which constructs an on-board model for automatic obstacle avoidance based on biological intelligence and physical phenomena, and uses multiple parametric estimates of car orientation information and car-obstacle distance parameters to perform obstacle avoidance control in three steps: detecting the obstacle, developing an adjustment plan, and returning to the normal route. the experimental data show that the intelligent optimisation algorithm outperforms the conventional algorithm in terms of distance to obstacles, algorithm computation time, and path planning time. © 2023 ieee.

关键词： Microcontrollers

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An Efficient Implementation of the Novel Data Encryption Standard (DES) Algorithm with Improved Key Generation Method Compared with Viterbi Decoder 8

An Efficient Implementation of the Novel Data Encryption Sta...

引用

8th ieee international conference on Science, Technology, engineering and Mathematics, ICONSTEM 2023

作者： Siddhardha, M. Jagadeesh, P. Saveetha University Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Electronics and Communication Engineering Tamilnadu Chennai602105 India

ISBN: (纸本)9798350347791

Aim: this study presents an efficient implementation of the Novel Data Encryption Standard (DES) algorithm with an improved key generation method and the result is compared with the Viterbi decoder algorithm. Materials and Methods: the proposed implementation of the novel Data Encryption Standard (DES) and Viterbi algorithm requires a computer with VHDL synthesis tool and Modelsim software installed. the encryption and decryption are implemented in VHDL language, while the key generation process is executed using the Modelsim software. the runtime analysis of the proposed algorithm was conducted using a set of test data and the results were compared with the Viterbi algorithm. the research consisted of 10 samples and applied the DES and Viterbi algorithms with an equal number of samples. the analysis was conducted using G-power (0.8) with alpha and beta set at 0.05 and 0.2, and a 95% confidence interval. Result: In terms of performance, the proposed implementation showed a run time of 3.3 ns, while the traditional Viterbi decoder showed a run time of 6.6 ns. the research's significance level was determined to be p =0.002(p © 2023 ieee.

关键词： Cryptography

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A High-Resolution Approach for Dynamic Traffic Police Gestures Recognition Based on Spatial Context and Temporal Features Fusion 8

A High-Resolution Approach for Dynamic Traffic Police Gestur...

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8th international conference on Image, Vision and Computing, ICIVC 2023

作者： He, Jian Jiang, Shengsheng Wei, Xin Zhang, Cheng Dong, Ruihai Beijing Engineering Research Center for IOT Software and Systems Beijing University of Technology Beijing China Beijing University of Technology Faculty of Information Technology Beijing China School of Computer Science University College Dublin Dublin Ireland

ISBN: (纸本)9798350335231

According to the requirement of recognizing traffic police gestures for driver assistance systems and intelligent vehicles, a universal model for dynamic traffic police gesture recognition is firstly introduced, of which can accurately present the spatial context (such as the relative lengths of skeletons, the angles between each skeleton w. r. t. gravity, and part features) of the traffic police gestures. Secondly, an architecture which can respectively extract spatial context and temporal features of dynamic traffic police gesture is proposed. Meanwhile, deep neural network and LSTM are introduced to build a high-resolution traffic police gestures recognizer (namely HRTPGR). At last, the open Police Gesture Dataset is used to train and test TPGR, and the experimental results show that the TPGR achieves a state-of-the-art accuracy with 98.7% for dynamic traffic police gestures recognition, and has strong anti-interference ability to light, background and gesture shape changes. © 2023 ieee.

关键词： Gesture recognition

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Influence of Interferences in the Relation Between Ampacity and Induced Voltage on Sheath in Double-Circuit Underground Lines 24

Influence of Interferences in the Relation Between Ampacity ...

引用

24th EEEIC international conference on Environment and Electrical engineering and 8th I and CPS Industrial and Commercial Power systems Europe, EEEIC/I and CPS Europe 2024

作者： Guevara, Jesus E. Colqui, Jaimis S. L. Kurokawa, Sergio Filho, José Pissolato School of Electrical and Computer E. State University of Campinas SP Campinas Brazil São Paulo State University Department of Electrical Engineering SP Ilha Solteira Brazil

ISBN: (纸本)9798350355185

this paper discusses the relationship between ampacity and induced voltages within the context of the four widely adopted configurations in double-circuit underground lines. this analysis considers two scenarios: one that accounts for underground interferences, which is the most exact, and another that solely considers the separation typically used in these duct banks. the results show that, with greater cable installation depth, a larger separation between cables is required to guarantee ampacity. the dependence between these values depends on the physical arrangement of the duct banks. Nevertheless, if this separation increases, the induced voltage on the sheath also will increase. Furthermore, it is sufficient to utilize the usual separation and increase this result by at least 2% when calculating the induced voltage on the sheath rather than considering the augmentation in phase spacing caused by underground interferences. © 2024 ieee.

关键词： Ducts

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IoT-Enabled Smart Applications and Challenges 8

IoT-Enabled Smart Applications and Challenges

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8th international conference on Communication and Electronics systems, ICCES 2023

作者： Prathyusha, M.R. Bhowmik, Biswajit National Institute of Technology Karnataka Brics Laboratory Department of Computer Science and Engineering Mangalore575025 India

ISBN: (纸本)9798350396638

Significant advances in the development of information and communication technology lead to collaborating computational entities into cyber-physical systems (CPS). A CPS serves as the foundation for many latest technology, e.g., the internet of things (IoT). Both IoT and CPS technologies provide several advantages that make our daily lives more simple and smart. these technologies are employed for a wide range of smart applications like smart city, smart home, smart transport, smart healthcare, etc., that can improve business, security, and health-related experiences. this paper primarily explores various IoT-enabled smart applications and examines their necessity, characteristics, and related issues. the paper also highlights various challenges of these smart applications followed by the state-of-the-art to address them. Each smart application promotes a sustainable, healthier, and comfortable life, including their future in the smart world. © 2023 ieee.

关键词： Cyber Physical System

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Resnet for Classification of Leukocyte: Application and Optimization 8

Resnet for Classification of Leukocyte: Application and Opti...

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8th international conference on computer and Communication systems, ICCCS 2023

作者： Li, Hongyang Luo, Yuanyan Zhao, Jiale Luo, Xujie Toe, Teoh Teik School of Computer Science & Engineering University of Electronic Science and Technology of China Chengdu China School of New Materials and Energy University of Electronic Science and Technology of China Chengdu China Nanyang Technological University NTU Business AI Lab Singapore

ISBN: (纸本)9781665456128

Hitherto, the classification of blood cell subtypes constitutes a typical method for diagnosing various diseases, infections, and inflammations, therefore the application of effective cell classification methods is essential. the boom in machine learning has made it possible to use computers to identify cell types. Specifically, we adopt the Resnet50 framework and propose methods of data augmentation, image mask generation and ensemble learning to optimize the test results. Finally, our model achieves 88.76% accuracy on the Blood Cell Images dataset with high robustness. We put forward some possible directions for future model improvements. © 2023 ieee.

关键词： Image classification

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