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检索条件"任意字段=International Conference on Computer Engineering and Technology"

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Inspiring Creativity: A Comparative Study of Hands-On Artifact Interaction and 3D Art Viewing 10

Inspiring Creativity: A Comparative Study of Hands-On Artifa...

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10th international conference on Digital Arts, Media and technology and 8th ECTI Northern Section conference on Electrical, Electronics, computer and Telecommunications engineering, ECTI DAMT and NCON 2025

作者： Sookkaew, Jirawat Saephoo, Pipatpong Changjaikla, Pheeraphon University of Phayao School of Information and Communication Technology Department of Computer Graphic and Multimedia Thailand University of Phayao School of Information and Communication Technology Department of Digital Business Thailand Kasem Bundit University School of of Architecture Department of Visual Communication Design Bangkok Thailand

ISBN: (纸本)9798331543273

The use of 3D technology in creative processes not only facilitates the creation of complex and intricate works but also provides opportunities for creators to experiment and develop unique and engaging concepts. Additionally, multimedia and 3D technology enhance the diversity and interest of the audience's experience. This study focuses on comparing the impact of using 3D models versus viewing ancient artifacts in traditional formats on enhancing creativity among students in different groups. Descriptive data analysis revealed that both groups had equal mean outputs (7.14 pieces per person), but the group using 3D models (Group 2) showed greater consistency in their work, with lower variance (5.14) and standard deviation (2.27) compared to the group using traditional visuals (Group 1), which had higher variance (27.24) and standard deviation (5.22).The findings suggest that implementing 3D technology in education goes beyond preserving historical information - it serves as a crucial tool for stimulating creativity and fostering innovation. This technology enables the development of immersive learning environments that can adapt to individual learning styles while promoting collaborative and cross-disciplinary approaches to education. © 2025 IEEE.

关键词： 3D modeling

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Weapon Detection System For Security And Surveillance Using YOLOv8 2

Weapon Detection System For Security And Surveillance Using ...

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2nd international conference on Advancement in Computation and computer Technologies, InCACCT 2024

作者： Arivalagan, Divya Rubankumar, D. Thushiyanth, K. Suresh Kumar, S. Priyadharsini, V. Vignesh, O. Madras Institute of Technology Anna University Department of Electronics Engineering Chennai India QIS College of Engineering and Technology Department of Electronics and Communication Engineering Ongole India Akshaya College of Engineering and Technology Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350371314

The study focuses on developing and refining an advanced object detection model for integration into security systems. It begins with an exploration of challenges during early training epochs, aiming to enhance precision, recall, and overall performance. The training process involves meticulous data preprocessing, augmentation, and iterative optimization of hyperparameters to foster model convergence. Significantly, this project holds implications for security applications, offering an innovative approach to threat detection through advanced computer vision technologies. Notably, the study incorporates the usage of YOLOv3 and YOLOv8 models. The YOLOv8 model showed a mAP50 of 0.936 compared to YOLOv3, which had an mAP50 of 0.719, demonstrating superior performance with YOLOv8. Considerations for real-time processing, integration of temporal information, and collaboration with security professionals are vital for further advancements. © 2024 IEEE.

关键词： Object detection

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Application of Artificial Intelligence technology in Risk Assessment and Management of Pile Foundation engineering of Offshore Wind Power Projects 24

Application of Artificial Intelligence Technology in Risk As...

引用

international conference on computer and Multimedia technology (ICCMT)

作者： Huang, Peipei Ou, Xiaolin Guangzhou Inst Sci & Technol Sch Architectural Engn Guangzhou 510000 Guangdong Peoples R China

ISBN: (纸本)9798400718267

In the context of the continuous progress of today's society, the level of science and technology is also developing rapidly. In particular, the extensive application of information technology such as artificial intelligence, big data and cloud computing has penetrated into all walks of life. In the process of intelligent building construction, computer network system plays a crucial role. Artificial intelligence can analyze the risk trends and patterns of wind power project pile foundation engineering by processing a large amount of historical risk data, and predict possible future risks. This helps the project team to develop corresponding risk management strategies and preventive measures. The risk assessment and management of pile foundation project of wind power project is of great significance to enhance the competitiveness of construction enterprises. Based on the analysis and research of relevant literatures at home and abroad and combined with artificial intelligence algorithm, this paper designs a risk assessment system for offshore wind power projects, so as to effectively reduce the risk incidence of pile foundation projects of wind power projects and improve the economic benefits of enterprises. Then, the accuracy performance of the system is tested. The test results show that as the fuzzy output value continues to rise from 0.2 to 1, the accuracy score also shows an increasing trend, indicating that the accuracy of the risk prediction system has improved. Based on this data, the performance of the risk prediction system can be evaluated and the prediction algorithm or model can be further improved, thus increasing the level of accuracy.

关键词： Artificial intelligence technology offshore wind power projects fuzzy analysis risk assessment system

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Transformer-based Text Classification on Unified Bangla Multi-class Emotion Corpus 25

Transformer-based Text Classification on Unified Bangla Mult...

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25th international Arab conference on Information technology, ACIT 2024

作者： Sourav, Md Sakib Ullah Mahmud, Mohammad Sultan Zheng, Hua Aljaidi, Mohammad Talukder, Md. Simul Hasan Bin Sulaiman, Rejwan Nur, Abdullah Hafez Al-Qerem, Ahmad Shandong University of Finance and Economics School of Management Science and Engineering Jinan China Shenzhen University College of Computer Science and Software Engineering Senzhen China Software Engineering Institute of Guangzhou Department of Software Engineering Guangzhou510990 China Zarqa University Department of Computer Science Zarqa Jordan University of Business and Technology College of Engineering Jeddah21448 Saudi Arabia Dhaka University of Engineering and Technology Department of Electrical and Electronic Engineering Dhaka Bangladesh Northumbria University Newcastle Tayne School of Computer Science & Technology Northumbria United Kingdom International Islamic University Chittagong Department of Electronic and Telecommunication Engineering Chittagong Bangladesh Zarqa University Faculty of Information Technology Department of Computer Science Zarqa Jordan

ISBN: (纸本)9798331540012

Due to its importance in studying people's thoughts on various Web 2.0 services, emotion classification is a critical undertaking. Most existing research is focused on the English language, with little work on low-resource languages. Though sentiment analysis, particularly emotion classification in English, has received increasing attention in recent years, little study has been done in the context of Bangla, one of the world's most widely spoken languages. In this research, we propose a complete set of approaches for identifying and extracting emotions from Bangla texts. We provide a Bangla emotion classifier for six classes, i.e., anger, disgust, fear, joy, sadness, and surprise, from Bangla words using transformer-based models, which exhibit phenomenal results in recent days, especially for high-resource languages. The Unified Bangla Multi-class Emotion Corpus (UBMEC) is used to assess the performance of our models. UBMEC is created by combining two previously released manually labelled datasets of Bangla comments on six emotion classes with fresh manually labelled Bangla comments created by us. The corpus dataset and code we used in this work are publicly available. © 2024 IEEE.

关键词： Classification (of information)

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Tri-UnityNet: A Multifaceted Ensemble Model for Pneumonia Detection

Tri-UnityNet: A Multifaceted Ensemble Model for Pneumonia De...

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2024 international conference on Advances in Data engineering and Intelligent Computing Systems, ADICS 2024

作者： Dhivyaa, C.R. Nithya, K. Shanmugapriya, P. Deebika, R. Kumar, K. Sathis Sudhakar, R. School Of Computer Science And Engineering Vellore Institute Of Technology Vellore India Srm Institute Of Science And Technology Computer Science And Engineering Trichy India Computer Science And Engineering Erode India K.S.R College Of Engineering Computer Science And Engineering Tiruchengode India Bannari Amman Institute Of Technology Computer Science And Engineering Sathyamangalam India Nandha College Of Technology Computer Science And Engineering Erode India

ISBN: (纸本)9798350364828

Pneumonia is an infection often caused by several viral infections and prediction of pneumonia requires expertise from radiotherapists, posing challenges, especially in remote areas. Developing an automatic pneumonia detection system is crucial to detect and treat pneumonia disease. Hence, an innovative approach is proposed to detect pneumonia by utilizing the ensemble of deep learning models, specifically VGG16, ResNet50, and InceptionV3. The ensemble method integrates predictions from these various architectures to enhance overall classification performance. Rather than starting the training of each model from the beginning, transfer learning techniques are utilized to fine-tune Convolutional Neural Network (CNN) models using a pre-existing knowledge base. This involves leveraging pre-trained models and adapting them specifically for the disease diagnose on Chest X-ray image dataset. The features are extracted from VGG16, ResNet50, and InceptionV3 models and the classes of disease are predicted by using softmax layers. Finally, ensemble learning is employed to fuse the predictions of multiple neural network architectures within Tri-UnityNet, enhancing its accuracy and robustness in pneumonia detection. By leveraging the complementary strengths of diverse models, the ensemble approach achieves superior performance, contributing to more reliable diagnostic outcomes. © 2024 IEEE.

关键词： Forecasting

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Deep learning for deepfake detection: Scientific landscape and future directions 4th

Deep learning for deepfake detection: Scientific landscape a...

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4th international conference on Computational Methods in Science and technology, ICCMST 2024

作者： Dhiman, Pummy Kaur, Amandeep Sharma, Dilip Kumar Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Department of Computer Engineering and Application GLA University Mathura India

ISBN: (纸本)9781032911571

In today’s digital age, technology has advanced to the point where it is difficult to distinguish be-tween genuine and forged media content. It was intended to be used for entertainment, but it is now being used to deceive people and create biasness, which can lead to disastrous situations. The goal of this bibliometric study is to provide scientific mapping on the role of deep learning in deepfake detection published online. Scopus and VOSviewer are used to create a concept map of 128 articles. Additionally, future directions for research are suggested. © 2025 the Author(s).

关键词： Fake detection

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Assessing The Importance of Pinduoduo E-commerce Platform's Cross-border Service Quality in Thailand to The Shopping Frequency of Chinese Students at Chiang Mai University 10

Assessing The Importance of Pinduoduo E-commerce Platform's ...

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作者： Fu, Jing Suteeca, Raslapat Chiang Mai University College of Arts Media and Technology Chiang Mai Thailand

ISBN: (纸本)9798331543273

This study selected Chinese students from Chiang Mai University in Thailand who had experience in using Pinduoduo platform for cross-border transportation in Thailand as the research subjects. It used SPSS AMOS software to analyze 300 valid questionnaires using structural equation modelling. The study aims to investigate the impact of the overall e-commerce quality of Pinduoduo platform and Thailand's cross-border logistics services on the purchase frequency of Chinese international student consumers. The services of the e-commerce platform are divided into six dimensions: customer service, economy, cross-border logistics, responsiveness, reliability, and tangibility. The results show that the overall e-commerce quality dimensions of Pinduoduo platform and Thailand's cross-border logistics services positively impact purchase intention. Among them, economy, cross-border logistics and responsiveness have the most significant impact on purchase intention. © 2025 IEEE.

关键词： Marketplaces

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MSWF-A-ResNet Rolling Bearing Fault Diagnosis Method 24

MSWF-A-ResNet Rolling Bearing Fault Diagnosis Method

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8th international conference on Electronic Information technology and computer engineering, EITCE 2024

作者： Liao, Zhizhou Yu, Ping Cao, Jie College of Electrical and Information Engineering Lanzhou University of Technology Gansu Lanzhou China

ISBN: (纸本)9798400710094

To address the problem of incomplete feature extraction for rolling bearing fault data mining using a single method, this paper proposes a fault diagnosis method based on the MSWF-A-ResNet *** the Gram’s angle field and the Markov variation field are different from the features mined from the data, the use of wavelet fusion enables the data to contain the information from using two different data mining methods. An attention mechanism is introduced into the model to achieve more efficient extraction of features, and Log-Softmax is used to replace Softmax to improve the numerical performance and make it more conducive to achieve gradient optimization. Through simulation experiments, it is verified that: (1) the diagnostic accuracy of the algorithm reaches 98.80%, which has good results, and it can effectively solve the problem of a single data containing few fault features under different working conditions and different datasets. (2) The algorithm has stable and accurate diagnostic performance and strong generalization ability. © 2024 Copyright held by the owner/author(s).

关键词： Markov processes

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Design of ship spraying UAV based on PID control 24

Design of ship spraying UAV based on PID control

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8th international conference on Electronic Information technology and computer engineering, EITCE 2024

作者： Liu, Yanping Lin, Fangjun Yantai Institute of Science and Technology Shandong Yantai China R & D Center Shandong Pengxiang Automobile Co. Ltd. Shandong Yantai China

ISBN: (纸本)9798400710094

In modern Marine industry, ship spraying plays an important role. At present, most of the ship spraying operations are manual spraying, which has some problems such as low spraying efficiency, difficult quality control, poor equipment practicability and high risk factor. Create a Marine painting drone equipped with a high-definition camera that can effectively paint the surface of a ship. The eight-rotor UAV is used to build an electric pushrod platform to achieve distance optimization. The drive unit adopts DC motor combined with PID control algorithm to realize smooth and accurate control of motor speed and distance. © 2024 Copyright held by the owner/author(s).

关键词： Marine industry

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A Review on Wideband High-Gain Low-THz Antennas for Wireless Applications 18

A Review on Wideband High-Gain Low-THz Antennas for Wireless...

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18th INDIAcom;11th international conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Srinivasan, Dhamodharan Premkumar, M. Deepa Nivethika, S. Dhilipkumar, P. Parameswari, S. Chowdary, M. Kalpana Centre for Blockchain and Cybersecurity Sri Eshwar College of Engineering Department of Computer and Communication Engineering Coimbatore India Ssm Institute of Engineering and Technology Department of Electronics and Communication Engineering Dindigul India Vit University School of Computer Science and Engineering Chennai India Sri Ranganathar Institute of Engineering and Technology Department of Ece Coimbatore India Sri Sairam Insitute of Technology Department of Ece Chennai India Mlr Institute of Technology Department of Computer Science and Engineering Hyderabad India

ISBN: (纸本)9789380544519

In this article, the potential of low-terahertz (THz) technology is discussed to present high data rates in future biomedical systems, and also in the 6G mobile system. However, due to the loss, the design of high-gain antennas is crucial to overcome power limitations and compensate for the additional path loss. This article highlights recent developments in wideband and high-gain sub-mm-wave and low-THz antennas and their fabrication technologies. The advancements in recent technologies have enabled the manufacture of antennas with complicated structures with precise accuracy and less expensive. Overall, the paper emphasizes the importance of high-gain antennas in overcoming the challenges associated with low-THz technology and highlights the potential of AM technology in the development of low-cost, high-performance THz antennas. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Antennas high gain low-cost low-terahertz three-dimensional printing (3DP)

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