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

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4th international conference on smart learning ecosystems and regional development, SLERD 2019

4th International Conference on Smart Learning Ecosystems an...

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4th international conference on smart learning ecosystems and regional development, SLERD 2019

ISBN: (纸本)9789811396519

the proceedings contain 25 papers. the special focus in this conference is on international conference on smart learning ecosystems and regional development. the topics include: A Multidimensional Space Approach to Innovative learning Environments;concept Integration to Develop Next Generation of Technology-Enhanced learning Systems;improving Writing for Romanian Language;a Prototype for the Automatic Assessment of Critical thinking;prediction of Newcomer Integration in Online Knowledge Building Communities Using Time Series Analyses;challenge of Talent Attraction in Small and Medium Urban Areas: Case of Valmiera City, Latvia;smart City Community Engagement through learning;meaningful learning by Creating Technology-Mediated Knowledge Boundary Objects Between School and the Workplace;smartwatches for Context-Aware Ubiquitous learning;game-Based Mobile learning with Augmented Reality: Are Teachers Ready to Adopt It?;teaching Experience Design Using Poems as Cultural Probes;services, Schools and Skills: Mobile Media and Local development in a South African Rural Area;A Cognitive-Driven BCI-Based E-learning Platform for learning Disorders: A Preliminary Study;the Structured Methodological Framework "Deejay": Foundation and Its Application to the Design of an ASD-Oriented AAC Tool;creating New learning Experiences for Students with Dyslexia: A Design thinking and Human-Centered Approach;social Coordination in Human–Robot Interaction through Reciprocal Engagement;the international Summer School for Advanced Studies UniBS: CONTEMPORARY IDENTITIES. Interweaving Spaces and Relations in the Design of Living Services;Towards a DSS: A Toolkit for Processes of Co-designing;the Impact of a Research-Based Institutional Strategy for Opening up Educational Practices: the Case of the MOOC-Maker Project;engagement in a Blended University Course.

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7th international conference on smart learning ecosystems and regional development, SLERD 2022

7th International Conference on Smart Learning Ecosystems an...

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7th international conference on smart learning ecosystems and regional development, SLERD 2022

ISBN: (纸本)9789811952395

the proceedings contain 14 papers. the special focus in this conference is on smart learning ecosystems and regional development. the topics include: Parents’ Voices: Inclusion of Students with Intellectual and developmental Disabilities in Higher Education;de-Identification of Student Writing in Technologically Mediated Educational Settings;conceptualising Micro-credentials in the Higher Education Research Landscape. A Literature Review;the Reaction of the University Ecosystem to the Pandemics in a Mid-East Country: the Case of IRAQ—A Compared Analysis of Students’ and Teachers’ Perceptions;student smartphone Experience Narratives Mediated by the Phygital School Library for learning ecosystems;space and Time in Hybrid Teaching and learning Environments: Two Cases and Design Principles;the Italian School ecosystems Two Years After the Lockdown: An Overview on the "Digital Shock" Triggered by the Pandemic in the Perceptions of Schools’ Principals and Teachers;automated Paragraph Detection Using Cohesion Network Analysis;assessing Readability Formulas in the Wild;pROnounce: Automatic Pronunciation Assessment for Romanian;Community Pacts and we4SLE as Tools to Support the Implementation of smart learning ecosystems;digital Games as Tools of Innovative Pedagogy in Education.

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5th international conference on smart learning ecosystems and regional development, SLERD 2020

5th International Conference on Smart Learning Ecosystems an...

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5th international conference on smart learning ecosystems and regional development, SLERD 2020

ISBN: (纸本)9789811573828

the proceedings contain 23 papers. the special focus in this conference is on smart learning ecosystems and regional development. the topics include: Visible teacher thinking and group learning;people-centered benchmarking of smart school ecosystems: A study with young students from aveiro region;smart visual identities: A design challenge for smart learning environments;digital making and entrepreneurship. imagine the future;toward a recommender system for planning montessori educational activities;cohesion network analysis for predicting user ranks in reddit communities;tracing humor in edited news headlines;data-driven intelligent tutoring system for accelerating practical skills development. a deep learning approach;exploratory analysis of a large dataset of educational videos: Preliminary results using people tracking;a serious game for lean construction education enabled by internet of things;alive in smart countryside;semantic recommendations of books using recurrent neural networks;supporting multiple programming languages in an online judge;a quantitative analysis of romanian writers’ demography based on the general dictionary of romanian literature;chatbot, the future of learning?;newcomer integration in online communities: Chronemics in asynchronous collaborative discussions;an analysis of alternation schemes to increase student employability and the smartness of secondary schools;what makes new technology sustainable in the classroom: Two innovation models considered;conceptualization of hypersituation as result of iot in education;a territorial learning ecosystem for parents’ participation and cooperation;escape from dungeon—modeling user intentions with natural language processing techniques.

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6th international conference on smart learning ecosystems and regional development, SLERD 2021

6th International Conference on Smart Learning Ecosystems an...

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6th international conference on smart learning ecosystems and regional development, SLERD 2021

ISBN: (纸本)9789811639296

the proceedings contain 17 papers. the special focus in this conference is on smart learning ecosystems and regional development. the topics include: College Students’ Blended Online Examination Acceptance During the COVID-19 Epidemic;in-Service Teachers’ Attitude Towards Programming for All;robots as My Future Colleagues: Changing Attitudes Toward Collaborative Robots by Means of Experience-Based Workshops;co-design and Shared Practices: An Overview of Processes of learning in Nonformal Educational Contexts;Fostering Co-UXers in Later Age: Co-designing a UX Toolkit for the Senior Online Community MiOne;What Are the Latest Fake News in Romanian Politics? An Automated Analysis Based on BERT Language Models;exploring a Large Dataset of Educational Videos Using Object Detection Analysis;supporting Urban Innovators’ Reflective Practice;Fighting the Gender Gap in ICT: Guidelines for Game Design;toward the Set of Principles for Enhancing Open Cultural Data Reusability in Educational Context;Discoverability of OER: the Case of Language OER;Dialogism Meets Language Models for Evaluating Involvement in CSCL Conversations;selfit—Accounting for Sexual Dimorphism in Personalized Motor Skills learning;romanian Syllabification Using Deep Neural Networks;A Year After the Outbreak of COVID-19: How Has Evolved the Students’ Perception on the Online learning?.

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

Development of retail banking through digital transformation...

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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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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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A review of deep learning for traffic flow prediction 4

A review of deep learning for traffic flow prediction

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2024 4th international conference on Intelligent Traffic Systems and smart City, ITSSC 2024

作者： Zhang, Hao Ren, Bin He, Chunhong Dongguan University of Technology Dongguan523000 China Dongguan City University Dongguan523000 China

ISBN: (纸本)9781510686304

As urban landscapes and transportation infrastructures evolve, the precision of traffic flow prediction within Intelligent Transportation Systems (ITS) becomes paramount. It is vital for mitigating traffic congestion and for refining autonomous driving and route planning. Yet, traditional methods struggle with the intricacies and vastness of modern data. this paper surveys traditional approaches before exploring deep learning techniques that adeptly model the nonlinear, spatio-temporal complexities of traffic flows. It examines how deep learning harnesses spatial and temporal data correlations, offering a robust framework for ITS. the discussion concludes with the challenges in traffic prediction and opportunities for future research, charting a course for innovative solutions. © 2025 SPIE.

关键词： Traffic congestion

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Electronic consumption vouchers fraud detection of city Y based on improved LSTM-AE structure 4

Electronic consumption vouchers fraud detection of city Y ba...

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2024 4th international conference on Intelligent Traffic Systems and smart City, ITSSC 2024

作者： He, Mozhou Guo, Yi Zeng, Kewei Xia, Shishun School of Electrical Engineering and Electronic Information Xihua University Sichuan Chengdu610039 China International Department of Chengdu Shude High School Sichuan Chengdu610031 China

ISBN: (纸本)9781510686304

In response to the post-COVID-19 economic recession, City Y, as part of its smart city initiatives, issued electronic consumption vouchers (ECVs) to boost the market economy. However, some individuals exploited these vouchers, affecting their fairness and effectiveness. thus, this paper presents an unsupervised deep learning framework to detect fraudulent merchants and anomalies in voucher redemptions. We use Long Short-Term Memory (LSTM) units combined with an autoencoder (AE) to learn long-term dependencies in time series data. A smoothing unit is also used to reduce prediction bias. the fraud scoring module assesses merchants based on the ratio of anomalous redemptions to total redemptions. Our experimental results show that this approach significantly improves fraud detection accuracy and efficiency, making it a promising tool for maintaining the fairness and effectiveness of ECVs within the smart city ecosystem. © 2025 SPIE.

关键词： Computer security Databases Security technologies Standards development Autonomous driving Roads Transportation Intelligence systems Compliance Navigation systems

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Research on Optimizing Demand Response Programs using LSTM Networks 4

Research on Optimizing Demand Response Programs using LSTM N...

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4th international conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2025

作者： Faiz, Rethwan Alam, Nuzat Nuary Md Shatil, Abu Hena Islam, Rakibul Haque, Ahsanul Hasan Imam, Mohammad American International University Bangladesh Department of Electrical and Electronics Engineering Dhaka Bangladesh

ISBN: (纸本)9798331530938

this paper presents a novel approach to optimizing Demand Response (DR) programs using Long Short-Term Mem-ory (LSTM) networks. We propose a methodology that leverages LSTM's capability to handle sequential data for accurate load forecasting and DR strategy optimization. Our approach integrates smart meter data, weather information, and socio-economic factors to enhance prediction accuracy. We implement a Deep Reinforcement learning-based Price Control (DRL-PC) algorithm for DR optimization. the results demonstrate significant improvements in forecasting accuracy, with a Mean Absolute Percentage Error (MAPE) of 4.02%. the proposed method achieved energy savings of up to 3.06% per month, with cumulative savings fluctuating throughout the year. this research contributes to the development of more efficient and reliable demand response strategies, promoting grid stability and sustainability in smart energy systems. © 2025 IEEE.

关键词： Demand response

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Secure Photo Sharing Across Platforms Using Blockchain Technology 4

Secure Photo Sharing Across Platforms Using Blockchain Techn...

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4th international conference on Sentiment Analysis and Deep learning, ICSADL 2025

作者： Nivetha, K. Harini, M. Harshinni, V. Nivetha, N. Tamilselvan, P. M Kumarasamy College of Engineering Department of Artificial Intelligence and Data Science Karur India M Kumarasamy College of Engineering Department of Artificial Intelligence and Machine Learning Karur India

ISBN: (数字)9798331523923

ISBN: (纸本)9798331523923

With the rapid expansion of online social networks (OSNs), photo sharing has become increasingly prevalent, raising significant privacy and security concern. Existing approaches, like centralized access control mechanisms and encryption-based privacy solutions, suffer from inconsistent policy enforcement, unauthorized access risk, and lack of transparency. Moreover, traditional OSN platforms afford limited control over the dissemination of content with respect to counteracting illegal reproductions. In order to address these challenges, Photo Chain is designed. the relevance of this name derives from its concept of using a blockchain mechanism to enable photo sharing in social networks securely and in a controlled manner. the system has smart contracts for dynamic access control, PreHash for photo integrity verification, and Gaussian Blur for the protection of sensitive regions. Dissemination control also provides various ways to prevent unauthorized sharing of photos. Ethereum-based smart contracts maintain an immutable log of transactions to guarantee privacy and transparency through user-defined access policies. A functional prototype has also been developed and tested for security, privacy, and controlled dissemination of pictures through OSNs. this prototype has demonstrated the usefulness of Photo Chain. © 2025 IEEE.

关键词： Differential privacy

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