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31st International Conference on Computational Linguistics, COLING 2025

作者： Barayan, Abdullah Camacho-Collados, Jose Alva-Manchego, Fernando School of Computer Science and Informatics Cardiff University United Kingdom Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia

ISBN: (纸本)9798891761964

Readability-controlled text simplification (RCTS) rewrites texts to lower readability levels while preserving their meaning. RCTS models often depend on parallel corpora with readability annotations on both source and target sides. Such datasets are scarce and difficult to curate, especially at the sentence level. To reduce reliance on parallel data, we explore using instruction-tuned large language models for zero-shot RCTS. Through automatic and manual evaluations, we examine: (1) how different types of contextual information affect a model's ability to generate sentences with the desired readability, and (2) the trade-off between achieving target readability and preserving meaning. Results show that all tested models struggle to simplify sentences (especially to the lowest levels) due to models' limitations and characteristics of the source sentences that impede adequate rewriting. Our experiments also highlight the need for better automatic evaluation metrics tailored to RCTS, as standard ones often misinterpret common simplification operations, and inaccurately assess readability and meaning preservation. © 2025 Association for Computational Linguistics.

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Enhancing the security of E-Health services in Bangladesh using blockchain technology

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International Journal of Information Technology (Singapore) 2022年第3期14卷 1179-1185页

作者： Hossain, Chowdhury Akram Mohamed, Mohamad Afendee Zishan, Md. Saniat Rahman Ahasan, Rabiul Sharun, Siti Maryam Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Besut Campus Malaysia

The telemedicine service concept was mainly established to benefit the underprivileged people from rural areas of a country. However, due to the low literacy and awareness rates among rural population of Bangladesh, the service is not much effective. This paper represents a study on the awareness of the rural population of telemedicine service in Bangladesh and few key findings indicate how the awareness could be increased. The research also suggests that utilizing blockchain technology can enhance the data security and privacy. The research reveals some of the findings which can raise the awareness and popularity of telemedicine service among rural population. We have proposed implementation of blockchain technology which can vastly improve the security issue. © 2021, Bharati Vidyapeeth's Institute of Computer Applications and Management.

关键词： Awareness rate Bangladesh rural areas Blockchain E-Health Survey Telemedicine

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Outbound Innovation Strategic Plan for Malaysian SMEs in the Software Industry: An Operational Research Framework 8

Outbound Innovation Strategic Plan for Malaysian SMEs in the...

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8th IEEE International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2023

作者： Yussof, Soffri Syed Zainol Abidin, Syed Nasirin Universiti Malaysia Sabah Decision Support Systems Research Group Faculty of Computing and Informatics Labuan Malaysia

ISBN: (纸本)9798350315516

The role of Small and Medium Enterprises (SMEs) in Malaysia plays a significant component in driving the nation's economic growth the present analysis focuses on a limited number of studies investigating SMEs' systematic methods for pursuing outbound innovation strategies. Hence, the focus is to evaluate the imperative need for outbound innovation strategies that can effectively contribute to a comprehensive strategic approach. This study aims to develop a comprehensive operational research framework that will be incorporated into the formulation of the strategic plan the strategic plan will encompass external technology commercialization strategies specifically designed for SMEs the operational research framework comprises three distinct phases. Phase 1 involves conducting semi-structured interviews. Phase 2 focuses on formulating the Outbound Innovation Strategic Plan (OISP). Lastly, Phase 3 entails evaluating the suitability of the OISP the outcome of this research involves the development of an OISP specifically tailored for Malaysian SMEs in the software industry. © 2023 IEEE.

关键词： Strategic planning

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Developing a Visual Dashboard to Improve Research Activity Assessment 11

Developing a Visual Dashboard to Improve Research Activity A...

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11th International Conference on Computer, Control, informatics and its Applications, IC3INA 2024

作者： Nur Rahman, Muhammad Zaki Prakasa, Esa Bijaksana, Moch Arif Bachelor of Data Science Faculty of Informatics Telkom University Bandung Indonesia Bandung Indonesia School of Computing Telkom University Bandung Indonesia

ISBN: (纸本)9798331542313

In research institutions, the ability to monitor and analyze publication output is crucial for assessing productivity and achieving strategic goals. This paper presents a dashboard designed to visualize and analyze publication data from a research center of the Indonesian public institution. The dashboard addresses several key questions: (1) whether the current number of publications is on track to meet the institution’s targets, (2) the comparison between journal and proceeding publications, (3) individual researcher productivity, (4) research group productivity, and (5) the collaborative efforts among researchers and groups. By leveraging this tool, stakeholders can gain insights into publication trends and identify areas for improvement. The findings reveal significant trends in publication types and collaboration patterns, offering a comprehensive overview of the institution’s research output. This study contributes to the understanding of research productivity metrics and their implications for strategic planning in academic research. © 2024 IEEE.

关键词： Collaboration Metrics Dashboard Visualization Publication Data Research Productivity

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Image Classification of Occluded and Non-Occluded Cats and Dogs Datasets with Machine Learning

Image Classification of Occluded and Non-Occluded Cats and D...

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2023 IEEE Symposium on Computers and informatics, ISCI 2023

作者： Rumpungan, Jacintha Lucia On, Chin Kim Hijazi, Mohd Hanafi Ahmad Karim, Samsul Ariffin Bin Abdul Universiti Malaysia Sabah Faculty of Computing and Informatics Sabah Kota Kinabalu Malaysia Research Centre Malaysia

ISBN: (纸本)9798350302363

Pet classification performance can be significantly affected by occlusions, such as pillows, hands, blankets, and shadows. Existing research on pet recognition and classification focuses on poses, breeds, and natural scene variations, but there has been limited work on occlusion-based pet classification. This project aims to improve the performance of deep neural networks for pet classification by using data augmentation, transfer learning, and fine-tuning techniques. Two independent datasets of occluded and non-occluded images of cats and dogs are used to evaluate the proposed algorithms. The investigation explores the impact of transfer learning on cat and dog classification using two proposed models: a fine-tuned Convolutional Neural Network (CNN) and a pre-trained VGG16 model. By leveraging advanced techniques such as transfer learning and fine-tuning, this research demonstrates the potential for significantly improving pet image classification performance, especially in scenarios involving occluded images. These findings contribute to the broader field of computer vision and provide valuable insights for further research in pet image analysis and classification. © 2023 IEEE.

关键词： Convolutional neural networks

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Insights into research on blockchain for smart contracts: a bibliometric analysis

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Multimedia Tools and Applications 2024年 1-25页

作者： Singh, Renu Gupta, Ashlesha Mittal, Poonam Faculty of Informatics and Computing J.C. Bose University of Science and Technology YMCA Faridabad India Department of Computer Science & amp Engineering Indraprastha Institute of Information Technology IIIT New Delhi India

Over the past few years, blockchain technology has gained significant attention. This surge in popularity can be attributed to the emergence of cryptocurrencies and the development of smart contracts. Cryptocurrency is a digital currency that eliminates the problem of double spending. Cryptocurrencies like Bitcoin, Ethereum, Litecoin, Stellar, Zcash, Maker, Aave, etc. become popular and are preferred for money transfers. Smart contracts are the next popular technology on the blockchain after cryptocurrency. It can be considered a piece of code that can execute automatically when the predefined conditions are fulfilled. Researchers believe that the potential of blockchain with smart contracts is only in its initial stages and that its true potential has yet to be fully discovered. Hence, an extensive bibliometric analysis is conducted to understand blockchain trends for smart contracts and to give future directions in this field. For this analysis, various steps are followed, starting with formulating the research question, defining the scope of our research, extracting and analyzing data, answering the research question, and finally, drawing a conclusion. This research paper will be fruitful for scholars and researchers, providing an extensive statistical and network analysis of extracted smart contracts publications. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Bibliometric analysis Blockchain Crypto contract Scientometrics Scopus Smart contracts VOSViewer

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PowerPlay: Adaptation of Game-Based Learning on Empowering Energy Conservation 22

PowerPlay: Adaptation of Game-Based Learning on Empowering E...

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22nd IEEE Student Conference on Research and Development, SCOReD 2024

作者： Zulkifli, Zuhri Arafah Halim, Faiqah Hafidzah Johari, Nur Farahin Mohd Zaini, Hazrati Mangshor, Nur Nabilah Abu Ishak, Norshahidatul Hasana Samah, Khyrina Airin Fariza Abu Faisal, Muhammad Alif Mohd Universiti Teknikal Malaysia Faculty of Information and Communication Technology Melaka Malaysia Universiti Teknologi MARA College of Computing Informatics and Mathematics Malaysia

ISBN: (纸本)9798331510077

PowerPlay is a game-based learning tool to educate children about energy conservation. It addresses the gap in effective mediums for teaching energy conservation to young learners and the limitations of traditional methods. This study employs the waterfall model methodology to design and implement an interactive educational game. This adaptation features two game modes, EcoFact and EcoGuess, which incorporate educational videos and enjoyment factors to engage children in fun learning about environmental responsibility. This study conducted enjoyment testing following the guidelines from eGameFlow to ensure an engaging and motivating learning experience. Results demonstrate high user engagement and enjoyment levels, validating the game's educational impact. PowerPlay emerges as a promising tool for fostering environmental awareness and responsibility in children through an innovative and enjoyable medium. © 2024 IEEE.

关键词： Energy saving

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Feature Extraction and Preprocessing Techniques on Open-Ended Concept Mapping Activity Log Data 7

Feature Extraction and Preprocessing Techniques on Open-Ende...

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7th International Conference on Vocational Education and Electrical Engineering, ICVEE 2024

作者： Prasetya, Didik Dwi Muhtadi, Muis Azizah, Hanifah Nur Zain, Azlan Mohd State University of Malang Department of Electrical Engineering and Informatics Malang Indonesia Universiti Teknologi Malaysia Faculty of Computing Johor Bahru Malaysia

ISBN: (纸本)9798331505103

Concept maps are graphic representations of unique ideas widely used in learning. Concept mapping activities are often stored in an activity log which contains a record of data based on a particular time. The high activity of concept mapping can form extensive data collection and result in abundant information. An appropriate initial processing action is needed to process the concept mapping log data properly. This study aims to reduce the concept of map activity log data to obtain a reliable and noise-free dataset. This research begins with the data preprocessing stage, the initial technique in data mining that converts raw data into cleaner information and can be used for further processing. The preprocessing phase could be done using the data reduction method or adding a filter example to observe missing data on an attribute by eliminating missing observation data. The principal component analysis algorithm was used to normalize the data to become stable, neither too high nor too low. This study emphasizes that the extracted data could produce high accuracy and shorter processing time. © 2024 IEEE.

关键词： Data assimilation

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Unleashing the Potential of Blockchain and Internet of Things (IoT) Convergence: A Comprehensive Study 20

Unleashing the Potential of Blockchain and Internet of Thing...

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20th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2024

作者： Kadir, Khairunnisa A. Wahab, Nur Haliza Abdul Hartomom, Kristoko Dwi Harun, Siti Zaleha College Of Computing Informatics And Mathematics Pahang Branch Raub Campus Pahang Raub27600 Malaysia Universiti Teknologi Malaysia Faculty Of Computing Johor Skudai Malaysia Satya Wacana Christian University Faculty Of Technology Information Salatiga Indonesia

ISBN: (纸本)9798350382310

This comprehensive review explores the synergistic intersection of blockchain technology and the Internet of Things (IoT), revealing how the fusion of these two innovative technologies is revolutionizing both network security and applications. As the IoT ecosystem expands and becomes increasingly complex, the necessity for robust and efficient security measures escalates. Herein, we elucidate how Blockchain technology, renowned for its secure, decentralized nature, can play an instrumental role in safeguarding IoT devices and networks from potential threats and breaches. We conduct an in-depth exploration of the various Blockchain-enabled IoT applications, shedding light on examples that span numerous sectors such as healthcare, supply chain, smart homes, and more. These practical implementations exemplify the enhanced security, transparency, and improved efficiency that Blockchain can introduce to the IoT landscape. This review also identifies and discusses challenges faced when integrating Blockchain with IoT, such as scalability issues and energy consumption, providing suggestions for future research and developments in this area. As the digital age advances, the fusion of Blockchain and IoT holds immense potential not only to fortify security but also to redefine conventional application models. Our analysis presents a clear trajectory of progress and innovation, offering researchers, practitioners, and stakeholder's valuable insights into the future of Blockchain-enabled IoT. © 2024 IEEE.

关键词： Blockchain

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Cultural Heritage in The Digital Age: Evaluating User Experience in Virtual Reality Cultural Heritage Learning Application 27

Cultural Heritage in The Digital Age: Evaluating User Experi...

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27th International Conference on Advanced Communications Technology, ICACT 2025

作者： Afendi bin Abdul Ghani, Mohamad Shahfik Kiffli, Sudirman bin Kuan, Tenh Hock Shamsuddin, Syadiah Nor binti Wan Rahim, Normala binti Faculty of Creative Technology and Heritage Universiti Malaysia Kelantan Kelantan Bachok16300 Malaysia Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Terengganu Kuala Nerus21300 Malaysia

ISBN: (纸本)9791188428137

The Fourth Industrial Revolution (IR4.0) has transformed various sectors, including cultural heritage preservation, education, and tourism, through advanced technologies like virtual reality (VR). This study explores the intersection of technology and cultural heritage learning, highlighting the crucial role of user experience (UX) in VR applications. While VR holds significant potential for cultural heritage learning, existing research often emphasizes utility and usability over UX. To address this gap, the study evaluates the UX of VR applications designed for cultural heritage, specifically focusing on the Istana Jahar historical site. The objectives include assessing dimensions such as effectiveness, efficiency, attractiveness, satisfaction, emotion, engagement, attention, and perception. The research employs quantitative methods using the Design Science Research Methodology (DSRM) to guide the development and evaluation of the VR application. A cluster random sampling technique was used to recruit 113 students from Universiti Malaysia Kelantan (UMK), ensuring a representative sample with relevant educational backgrounds. Participants interacted with the VR application and completed a survey based on the developed conceptual framework. Findings indicate high mean scores across UX dimensions: Effectiveness (4.487), Efficiency (4.363), Attractiveness (4.528), Satisfaction (4.363), Emotion (4.401), Engagement (4.385), Attention (4.366), and Perception (4.416). These results demonstrate that the elements within the conceptual framework effectively enhance the UX in cultural heritage learning applications. Copyright 2025 Global IT Research Institute (GIRI). All rights reserved.

关键词： Virtual environments

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