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2024 International Conference on computer and Applications, ICCA 2024

作者： Hesham, Alaa Hamdy, Abeer The British University in Egypt Faculty of Informatics and Computer Science Department of Software Engineering Cairo Egypt

ISBN: (纸本)9798350367560

Creating programming questions that are both meaningful and educationally relevant is a critical task in computer science education. This paper introduces a fine-tuned GPT4o-mini model (C2Q). It is designed to generate meaningful questions by leveraging semantic feature extraction and well- crafted prompts. The approach addresses the limitations of traditional generative models, offering a deeper understanding of programming code and producing questions that are precise, diverse, and relevant to a given code snippets. The proposed framework incorporates essential code elements, such as control structures and method attributes, to generate questions that align with programming concepts. Evaluation metrics used were BLEU, ROUGE-1, and ROUGE-L to evaluate the model's performance. The findings reveal that the model achieves better structural coherence and conceptual relevance while focusing on contextual understanding over exact term matching. This work highlights the potential of the proposed approach to advance teaching and assessment methods in computer science. © 2024 IEEE.

关键词： Program processors

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Predictive Analysis of Sarajevo's AQI using Machine Learning Models for Varied Data Granularity and Prediction Windows 47

Predictive Analysis of Sarajevo's AQI using Machine Learning...

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47th ICT and Electronics Convention, MIPRO 2024

作者： Zolota, Emina Hasić, Vahidin Mević, Amina Delić, Amra Krivić, Senka University Of Sarajevo Faculty Of Electrical Engineering Department For Computer Science And Informatics Sarajevo Bosnia and Herzegovina

ISBN: (纸本)9798350382495

This study scrutinizes five years of Sarajevo's Air Quality Index (AQI) data using diverse machine learning models - Fourier autoregressive integrated moving average (Fourier ARIMA), Prophet, and Long short-term memory (LSTM) - to forecast AQI levels. Focusing on various prediction frames, we evaluate model performances and identify optimal strategies for different temporal granularities. Our research unveils subtle insights into each model's efficacy, shedding light on their strengths and limitations in predicting AQI across varied timeframes. This research presents a robust framework for automatic optimization of AQI predictions, emphasizing the influence of temporal granularity on prediction accuracy, automatically selecting the most efficient models and parameters. These insights hold significant implications for data-driven decision-making in urban air quality control, paving the way for proactive and targeted interventions to improve air quality in Sarajevo and similar urban environments. © 2024 IEEE.

关键词： Air quality

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14th International Conference on Information, Intelligence, Systems and Applications, IISA 2023

作者： Gkillas, Athanasios Simos, Michael Angelos Makris, Christos University of Patras Department of Electrical and Computer Engineering Patras Greece University of Patras Department of Computer Engineering and Informatics Patras Greece

ISBN: (纸本)9798350318067

YouTube is a popular online video-sharing and social media platform, hosting diverse content for all ages. The platform is gradually gaining ground against traditional media, with major turnover increasingly turning there due to videos and creators' influence, especially in younger audiences. Some of the videos may attain a large number of views often accompanied by many comments. Comments, often focus not only on the content of the video but also on several other aspects and topics. In this paper, we focus on the sentiment analysis of video comments, using a variety of methods we explore the correlation between user comments' sentiment polarity score and the popularity of the relevant video. Some adversities of machine learning or neural network model approach to the task include linguistic irregularities, typing errors, niche vocabulary, sarcastic and ambiguous content, or unrelated events influencing the commented themes. Unlike previous works [1], [2], our focus is centered on leveraging comment sentiment polarity for deriving predictions of the popularity and success of the respective videos. Our methods depend on lexicon-based sentiment analysis approaches like VADER and TextBlob but also on neural network architectures including BERT and RoBERTa. Our experimental analysis resulted in promising results, setting a baseline for this application theme. © 2023 IEEE.

关键词： Sentiment analysis

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SUSTEM: An Improved Rule-based Sundanese Stemmer

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ACM Transactions on Asian and Low-Resource Language Information Processing 2024年第6期23卷 1-29页

作者： Setiawan, Irwan Kao, Hung-Yu Department of Computer and Informatics Engineering Politeknik Negeri Bandung Bandung Indonesia Intelligent Knowledge Management Lab Department of Computer Science and Information Engineering National Cheng Kung University No. 1 Daxue Rd. East Dist. Tainan City701 Taiwan

Current Sundanese stemmers either ignore reduplication words or define rules to handle only affixes. There is a significant amount of reduplication words in the Sundanese language. Because of that, it is impossible to achieve superior stemming precision in the Sundanese language without addressing reduplication words. This article presents an improved stemmer for the Sundanese language, which handles affixed and reduplicated words. With a Sundanese root word list, we use a rules-based stemming technique. In our approach, all stems produced by the affixes removal or normalization processes are added to the stem list. Using a stem list can help increase stemmer accuracy by reducing stemming errors caused by affix removal sequence errors or morphological issues. The current Sundanese language stemmer, RBSS, was used as a comparison. Two datasets with 8,218 unique affixed words and reduplication words were evaluated. The results show that our stemmer’s strength and accuracy have improved noticeably. The use of stem list and word reduplication rules improved our stemmer’s affixed type recognition and allowed us to achieve up to 99.30% accuracy. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Sundanese language reduplication word affixed word stemming

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Enhancing intrusion detection in IIoT: optimized CNN model with multi-class SMOTE balancing

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Neural Computing and Applications 2024年第24期36卷 14643-14659页

作者： Eid, Abdulrahman Mahmoud Soudan, Bassel Nassif, Ali Bou Injadat, MohammadNoor Department of Computer Engineering College of Computing and Informatics University of Sharjah Sharjah United Arab Emirates Department of Data Science and AI Faculty of Information Technology Zarqa University Zarqa Jordan

This work introduces an intrusion detection system (IDS) tailored for industrial internet of things (IIoT) environments based on an optimized convolutional neural network (CNN) model. The model is trained on a dataset that was balanced using a novel multi-class implementation of synthetic minority over-sampling technique (SMOTE) that ensures equal representation of all classes. Additionally, systematic optimization will be used to fine tune the hyperparameters of the CNN model and mitigate the effects of the increased size of the training dataset. Evaluation results will demonstrate substantial improvement in performance when the optimized CNN model is trained on the balanced dataset. The proposed IDS will be evaluated using the IIoT-specific WUSTL-IIOT-2021 dataset, and then its generalization capability will be verified using the non-domain specific UNSW_NB15 dataset. The model’s performance will be evaluated using accuracy, precision, recall, and F1-score metrics. The results will demonstrate that the proposed IDS is highly effective with performance exceeding 99.9% on all performance metrics. The IDS is also highly effective in detecting intrusion for generic IT networks achieving improvements in excess of 30% compared to the default baseline model. The results emphasize the versatility and effectiveness of the proposed IDS model, making it a reliable and adaptable solution for enhancing network security across diverse network environments. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Neural network models

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Risk Analysis in Practice and Theory 1

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9th International Conference on Risk Analysis, ICRA9 2022

作者： Kitsos, Christos P. Department of Informatics and Computer Engineering University of West Attica Egaleo Greece

ISBN: (数字)9783031398643

ISBN: (纸本)9783031398636

In this paper we discuss the Risk Analysis problem as it has been developed, offering a solution to crucial problems and offering food for thought for statistical generalisations. We try to explain why we need to keep the balance between Theory and Practice. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Risk analysis

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Designing a Digital Repository for the Cultural and Natural Heritage of the Island of Zakynthos 9

Designing a Digital Repository for the Cultural and Natural ...

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9th South-East Europe Design Automation, computer engineering, computer Networks and Social Media Conference, SEEDA-CECNSM 2024

作者： Palamas, Stergios Kabassi, Katerina Mylonas, Phivos Ionian University Department of Informatics Corfu Greece Ionian University Department of Environment Zakynthos Greece University of West Attica Department of Informatics and Computer Engineering Athens Greece

ISBN: (纸本)9798350342482

The present study discusses the design of a digital archive for the preservation and dissemination of the Cultural and Natural Heritage of Zakynthos Island. The proposed architecture suggests a Content Management System (CMS) to provide the core functionality, while a web application, interacting with the CMS through a RESTFul API, will provide an alternative front-end targeting mainly on-site end-users using mobile devices. Authors and contributors can submit multimedia content to the repository, which is reviewed and approved by system administrators before publishing, ensuring this way the information quality and *** system will also provide a RESTful API, allowing integration with 3rd party systems and web applications, thereby expanding the repository's reach and capabilities. Content delivery is personalized based on user profiles, location, and preferences, enhancing engagement and usability. By integrating these features, the repository effectively preserves and makes accessible the unique cultural and natural heritage of Zakynthos to both local and global audiences. © 2024 IEEE.

关键词： Augmented Reality Biodiversity Content Management Systems Cultural Heritage Multimedia Digital Repositories Natural Heritage Web Applications

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Personalized Learner Assistance Through Dynamic Adaptation of Chatbot Using Fuzzy Logic Knowledge Modeling 18

Personalized Learner Assistance Through Dynamic Adaptation o...

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18th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2023

作者： Troussas, Christos Krouska, Akrivi Mylonas, Phivos Sgouropoulou, Cleo University of West Attica Department of Informatics and Computer Engineering Egaleo Greece

ISBN: (纸本)9798350327717

Personalized approaches and tailored support have become increasingly significant in the field of online education, aiming to enhance the overall learning experiences of learners. This paper introduces a novel approach for addressing challenges in providing tailored support by utilizing chatbot technology and the flexibility of fuzzy logic. The chatbot is responsible for delivering precise and tailored responses to learners, considering their input, typically in text form. This is accomplished through the utilization of a rule-based system that is capable of generating accurate answers according to predefined criteria. To augment this support, fuzzy logic is employed for modeling the learners' knowledge, thereby enhancing the chatbot's proficiency in accurately evaluating and responding to inquiries. Consequently, the provision of assistance can be tailored to the specific knowledge level of learners, aiding them in achieving their educational goals. This methodology is incorporated in an intelligent tutoring system designed to provide tutoring for the programming language Java. The evaluation findings demonstrated the effectiveness of our approach in delivering personalized assistance through a chatbot. The results indicated that the chatbot's responses were highly rated in terms of clarity, relevance, and usefulness. Additionally, the system was found to effectively address learners' needs with quality and adequacy. © 2023 IEEE.

关键词： Fuzzy logic

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Implementing a Digital Repository for the Cultural and Natural Heritage of the Island of Zakynthos 19

Implementing a Digital Repository for the Cultural and Natur...

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19th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2024

作者： Palamas, Stergios Voutos, Yorghos Kabassi, Katerina Mylonas, Phivos Ionian University Department of Informatics Corfu Greece University of West Attica Department of Informatics and Computer Engineering Athens Greece Ionian University Department of Environment Zakynthos Greece

ISBN: (纸本)9798331504502

The present study discusses the development of a digital repository (ANTETI) for the preservation and dissemination of the Cultural and Natural Heritage of Zakynthos Island. The platform is based on a popular Content Management System (CMS) to provide the core functionality, extended with the use of the CMS's API, to provide additional personalisation functionality for the end-users. Additionally, the system features a web application, oriented mainly on users visiting the island of Zakynthos and developed exclusively with open web technologies and JavaScript frameworks. The web application is an alternative, map-centered, mobile optimised front-end, for the platform's content featured in the CMS. The system also provides a RESTful API, allowing integration with 3rd party systems and web applications, thereby expanding the repository's reach and capabilities. Content delivery is personalized based on user profiles, location, and preferences, enhancing engagement and usability. By integrating these features, the repository effectively preserves and makes accessible the unique cultural and natural heritage of Zakynthos to both local and global audiences. © 2024 IEEE.

关键词： Biodiversity Content Management Systems Cultural Heritage Multimedia Digital Repositories Natural Heritage Web Applications

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Augmented Reality for Enhancing Linguistic Skills of International Students in Preschool Education 3rd

Augmented Reality for Enhancing Linguistic Skills of Interna...

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3rd International Conference on Novel and Intelligent Digital Systems, NiDS 2023

作者： Kapetanaki, Andrianthi Krouska, Akrivi Troussas, Christos Drosou, Stavroula Sgouropoulou, Cleo Department of Informatics and Computer Engineering University of West Attica Egaleo Greece

ISBN: (纸本)9783031440960

The utilization of new technologies in education is essential for providing an effective and of high quality learning environment. The preschool education is considered quite demanding, especially with the increasing number of multilingual and multi-ethnic families in European countries. This fact leads to constantly find new teaching methods and ways of learning that deviate from traditional ones, in order to promote the active learning and innovative teaching. As such, this study presents the development of an Augmented Reality (AR) application, using the Quiver tool, to enrich vocabulary acquisition of international students who attend Greek Kindergartens and are taught Greek as a second / foreign language. For the needs of this study, qualitative research method – and specifically, case study and observation – was used to investigate the impact of the developed AR application in oral communication of foreign preschool students. The results show that the use of AR has a positive impact in vocabulary and linguistic skills acquisition, fluency in oral communication, motivation, commitment to the learning process and satisfaction. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Linguistics

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