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检索条件"任意字段=4th International Conference on Smart Learning Ecosystems and Regional Development"

共 901 条记录，以下是11-20 订阅

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Detection of Dangerous Situations by Sounds in Real-Time Using Deep learning 4

Detection of Dangerous Situations by Sounds in Real-Time Usi...

引用

4th IEEE international conference on smart Information Systems and Technologies, SIST 2024

作者： Momynkulov, Zeinel Omarov, Nurzhan Uxikbayev, Yerkebulan Department of MCM International Information Tehnology University Almaty Kazakhstan Department of Information Systems Al-Farabi Kazakh National University Almaty Kazakhstan Khoja Akhmet Yassawi International Kazakh-Turkish University Turkistan Kazakhstan

ISBN: (纸本)9798350374865

this research paper presents a comprehensive exploration of the utilization of advanced machine learning techniques, specifically the Bidirectional Long Short-Term Memory (BiLSTM) neural network model, for the classification of dangerous urban sounds. In the context of increasingly complex urban environments, where a multitude of acoustic signals coexist, accurate identification of hazardous auditory cues is imperative for bolstering urban safety and security. the BiLSTM model emerges as a pivotal tool, adept at capturing intricate temporal relationships and contextual nuances, thereby facilitating the discrimination between benign and perilous urban sounds. through rigorous experimentation, our model achieves a commendable 90% accuracy rate, signifying its potential for practical deployment in urban settings. Beyond model development, this research extends its impact by introducing a web application that enables real-time sound analysis and user engagement, bridging the gap between sophisticated machine learning capabilities and practical urban safety applications. As urban centers continue to evolve and confront the challenges posed by increasing population density and complexity, the fusion of advanced machine learning with the urban soundscape holds immense promise in the creation of safer and smarter urban ecosystems, ultimately enhancing the well-being and security of urban dwellers worldwide. © 2024 IEEE.

关键词： Population statistics

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Predicting Child development Status: Can Machine learning Helpƒ 4

Predicting Child Development Status: Can Machine Learning He...

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4th international conference on Emerging smart Technologies and Applications, esmartA 2024

作者： Coban, Onder Sehitoglu, Ensar Yaganoglu, Mete Ataturk University Department of Computer Engineering Erzurum Turkey

ISBN: (纸本)9798350354133

Machine learning (ML) has recently been used to solve different problems including detection of child development status, meeting children's individual learning needs, detecting and intervening developmental problems early, improving rehabilitation processes, and so on. Hence, in this study, we build and use ML models to predict the development status of children based on a recently shared dataset that includes various attributes. To improve the performance of our models, we applied simple and efficient imputing, feature extension, and enlarging techniques on the dataset. the results show that four of ten ML algorithms reach the perfect performance (i.e., an f1-score of 1.0) and this indicates that ML is capable of solving this problem in an automatic and highly accurate way. We therefore believe that the findings of this study can uncover the applicability of ML to solve problems within the related field. © 2024 IEEE.

关键词： Adversarial machine learning

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Design and application of smart agriculture IoT platform based on microservice architecture 24

Design and application of smart agriculture IoT platform bas...

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4th international conference on Internet of things and Machine learning

作者： Qin, Yilang Wang, Meng Zhang, Jie Zhao, Qing Zhao, Qiaoli Li, Guoqiang Henan Acad Agr Sci Inst Agr Informat Technol Zhengzhou Peoples R China Minist Agr & Rural Affairs Key Lab Huang Huai Hai Smart Agr Technol Zhengzhou Peoples R China Henan Engn & Technol Res Ctr Intelligent Agr Zhengzhou Peoples R China

ISBN: (纸本)9798400710353

this study aims to address the needs of smart agriculture for agricultural condition monitoring and agricultural production, and builds a multi-source data acquisition and perception technology system based on smart agriculture equipment such as agricultural condition weather stations, soil moisture stations, water and fertilizer integration machines, and pest monitoring equipment. It proposes real-time data quality monitoring and alarm strategies and multi-source data fusion methods. the smart agriculture IoT platform is designed based on the principle of scalability, microservice architecture, and modular development. It is deployed in the form of microservices through container technology, and includes core modules such as data collection, messaging engine, and time series data storage, as well as functional modules such as data display, data analysis, and spatial visualization display. Realize real-time display of sensor data, dynamic access of multi-source IoT devices, and

关键词： Microservices smart Agriculture Internet of things System design Deep learning Integrated water and fertilizer management

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development of retail banking through digital transformation using blockchain technology 4th

Development of retail banking through digital transformation...

引用

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

作者： Vijayashankar, U. Dhakshana, J. D. Aarthi Nachathiram, K. Domnic thavagnana Edward Hariharan, C. Dhanalakshmi Srinivasan University Trichy India Thanjavur India SRM University Trichy India

ISBN: (纸本)9781032911571

the research explores the potential of digital transformation in retail banking, integrating blockchain, smart contracts, and machine learning models. the focus is on improving speed, safety, and transparency in banking operations, particularly in risk assessment, fraud detection, and customer satisfaction. the methodology includes the construction of a blockchain for secure transactions, and the creation of smart contracts for automated loan approval. Machine learning models like Artificial Neural Network, Support Vector Machines LSTM, and RF are used for fraud detection and customer churn prediction. the results show high accuracy, precision, and scalability. the blockchain achieved transaction speeds of 500 transactions per second, and the smart contract achieved 95% accuracy for loan approval processes. this research aims to advance the retail banking system by developing technology that speeds up operations, prevents risks, and enhances customer satisfaction. © 2025 the Author(s).

关键词： smart contract

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Electricity consumption prediction using federated learning based on differential privacy 4

Electricity consumption prediction using federated learning ...

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4th international conference on New Energy and Power Engineering, ICNEPE 2024

作者： Zhou, Ruhan Lin, Shunfu Shanghai University of Electric Power College of Electrical Engineering China

ISBN: (纸本)9798331516086

smart grid is the most advanced grid operation model. It works through a bidirectional communication of electricity generation and consumers. the smart distribution and automated energy transmission has established a reliable, economical, efficient power grid. However, the computing power of hardware equipment and smart grids did not prioritize data security when they were designed. this omission result in a serious risk of personal privacy. With the development of communication technology, data security has become an important problem restricting the further development of smart grid. How to protect privacy data from attack in smart grids operation has become a topic worth studying. the method proposed in this paper combines differential privacy with the federated learning framework (DFL) to make accurate prediction. the results show that the proposed method can predict the user's future electricity consumption under privacy protection. © 2024 IEEE.

关键词： Power grids

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How Communities Become smart: A Case Study of Porto Alegre, Brazil 24

How Communities Become Smart: A Case Study of Porto Alegre, ...

引用

25th Annual international conference on Digital Government Research, DGO 2024

作者： Lopes, Carolina Tavares Luciano, Edimara Mezzomo Roldan, Lucas Bonacina Pontifical Catholic University of Rio Grande do Sul RS Porto Alegre Brazil

ISBN: (纸本)9798400709883

this study aims to investigate the role of smart governance in the development of smart communities, focusing on the case of the Sustainable Urban Regeneration Program for the 4th District (+4D), in Porto Alegre, Brazil. Drawing on the existing concepts of smart community and smart governance, the study examines how smart governance practices empower individuals to work as a community. this evolution not only shapes local communities into more interconnected, innovative, and resilient entities but also fosters cohesion and the ability to engage in meaningful dialogue with public authorities. Preliminary findings, derived from 25 semi-structured interviews conducted with community leaders, community social center personell, entrepreneurs and consultants, City Hall representatives, and citizens, highlight crucial components contributing to how communities become smart. Ultimately, the study explores the mechanisms supporting the establishment of a smart community framework, contributing significantly to the application of governance and transition theories in the development of intelligent urban ecosystems. © 2024 Copyright held by the owner/author(s).

关键词： ecosystems

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Ecosystem theory and the Adoption of Artificial Intelligence in SMEs 4

Ecosystem Theory and the Adoption of Artificial Intelligence...

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4th international conference on AI Research, ICAIR 2024

作者： Nolan, Steven Zyglidopoulos, Stelios Sprott School of Business Carleton University Ottawa Canada

ISBN: (纸本)9798331309466

Given the various risks involved in incorporating artificial intelligence (AI) and machine learning into their business operations, firms are at an inflection point about how to do so. In this paper, we propose that for small medium-sized enterprises (SMEs), which lack capital, large quantities of data, and expertise, the best solution would be to join a pre-existing (or developing) ecosystem. From the two potential alternatives available to an SME, going it alone or depending on a larger corporation, we argue for a third option, the joining of an ecosystem of organizations that use AI systems in their operations, as the golden mean. We conclude with some practical and theoretical implications. © Proceedings of the 4th international conference on AI Research, ICAIR 2024.

关键词： Adoption of artificial intelligence AI research and development Artificial intelligence Data autonomy ecosystems SME (small to medium-sized business)

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Kinect therapeutic Game STEAM-Based learning for Autism Spectrum Disorder (ASD) Students 4

Kinect Therapeutic Game STEAM-Based Learning for Autism Spec...

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4th international conference on Emerging smart Technologies and Applications (esmartA)

作者： Febry, Dea Muthia Haryani, Fairusy Fitria Rahmawati, Karisma Dewi, Nadia Pramugarini Mutiara Yulandari, Esti Hendix, Andreas Sebelas Maret Univ Phys Educ Surakarta Indonesia Sebelas Maret Univ Bahasa Educ Surakarta Indonesia Sebelas Maret Univ Informat Engn Surakarta Indonesia

ISBN: (纸本)9798350354140;9798350354133

Students with Autism Spectrum Disorder (ASD) experience difficulties in their learning process because they have impairments in cognitive development, adaptive behaviour, focus/attention, and psychomotor problems. Using technology-based learning media can be an effective solution in helping ASD students overcome their learning challenges. this research aims to develop the "Kinect therapeutic Games" learning media by integrating STEAM (Science, Technology, Engineering, Art, and Mathematics). the ADDIE (Analysis, Design, development, Implementation, Evaluation) approach was the development model used in developing the media. Six ASD students at Special School Mitra Amanda in Surakarta, Indonesia, were the subjects of this research. the result shows that achieving by using the learning media also requires a good balance of psychomotor, attention, and cognitive abilities. For Science, Technology, and Engineering, as many as 4 out of 6 students or more than half of the students in one class, have good results. Only 2 out of 6 students, or 33,33%, have good numeracy skills when using the learning media. Half or 50% of students in a class could achieve aspects of art related to imagination and creativity. It can be concluded that learning media can support STEAM aspects, but not all students can achieve them. Only 2 out of 6 students could accomplish all of the STEAM aspects.

关键词： Kinect therapeutic game autism spectrum disorder STEAM learning media

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Design of track logistics control system based on digital twin 4

Design of track logistics control system based on digital tw...

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4th international conference on Machine learning and Intelligent Systems Engineering (MLISE)

作者： Chen, Yongqiang Zhao, Zheng Yin, Jianchen Univ Elect Sci & Technol China Sch Mech & Elect Engn Chengdu 611731 Peoples R China

ISBN: (纸本)9798350375084;9798350375077

In order to improve the intelligence of modern hospital logistics transmission system, a medical track logistics control system based on digital twins was designed to improve the efficiency of logistics transmission and provide a supporting application platform for the track logistics system. Platform from mechanical structure, to hardware control system, and then to digital twin system, a full range of independent research and development;the proposed twin model construction method extends the application of digital twin technology in the field of intelligent manufacturing. Finally, the test shows that the system can effectively complete the logistics and transportation tasks, and can achieve the virtual-real contrast, improve the system operation and maintenance efficiency.

关键词： Intelligent manufacturing Digital twins Logistics transmission smart hospital

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Leveraging DQN-Based Recommender Systems for E-Commerce in smart Cities 4th

Leveraging DQN-Based Recommender Systems for E-Commerce in S...

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4th international conference on Intelligent Systems and Pattern Recognition-ISPR

作者： Abakarim, Sana Qassimi, Sara Rakrak, Said Cadi Ayyad Univ Fac Sci & Tech L2IS Lab Marrakech Morocco

ISBN: (纸本)9783031821523;9783031821530

In the age of digital urban transformation, smart cities are emerging as ecosystems where technology, infrastructure and data converge to improve quality of life, sustainability and economic prosperity. In this context, e-commerce plays a central role, providing platforms for businesses to thrive by enabling seamless transactions, personalised shopping experiences and greater market reach. However, the dynamic and evolving nature of user preferences presents a significant challenge, requiring more adaptive and smart recommendation systems. this paper presents an approach by integrating Deep Q-Network (DQN), a reinforcement learning technique, into recommendation systems for e-commerce in smart cities. By comparing the proposed DQN model based recommender system with traditional models such as MLP, DeepFM, LSTM and CNN using metrics such as MSE, RMSE and NDCG@5, we demonstrate its superior performance in predicting user preferences and dynamically adapting to changes in user behaviour. the results highlight the potential of DQN models to revolutionise e-commerce recommender systems, delivering more personalised and adaptive user experiences in the interconnected environments of smart cities.

关键词： Deep Q-Network Recommender Systems Reinforcement learning smart Cities E-Commerce Machine learning Deep Reinforcement learning

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