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检索条件"任意字段=International Conference on Learning and Teaching in Computing and Engineering"

共 107018 条记录，以下是4731-4740 订阅

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Blood Oxygen Saturation Estimation Using PPG Signals from the MIMIC-III Database 16th

Blood Oxygen Saturation Estimation Using PPG Signals from t...

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16th international conference on ICT Innovations, ICT Innovations 2024

作者： Petrovikj, Nenad Mishkovska, Bojana Koteska, Bojana Bogdanova, Ana Madevska Faculty of Computer Science and Engineering University Ss. Cyril and Methodius Rugjer Boskovikj 16 Skopje1000 Macedonia

ISBN: (纸本)9783031861611

Photoplethysmogram (PPG) signals are pivotal in cardiovascular monitoring, offering real-time insights into heart rate and oxygen saturation (SpO2). This study explores the creation of deep learning and machine learning models - specifically Convolutional Neural Networks (CNNs), Bidirectional Long Short-Term Memory (BiLSTM) networks, Recurrent Neural Networks (RNNs), and Random Forest Regressors (RFRs)-to estimate SpO2 levels from single-channel PPG data. Another point is developing algorithms for using the data sourced from the PhysioNet MIMIC-III database. The patients used for training and testing are distinct, ensuring no overlap between the datasets and enabling rigorous model evaluation. A comprehensive analyses reveal that LSTM-based model achieve significant accuracy in SpO2 estimation, with R-squared value reaching up to 0.59. Specifically, the LSTM model demonstrated an MAE of 1.26, MSE of 3.11 and RMSE of 1.76. These results demonstrate the potential of machine learning techniques in advancing clinical monitoring and decision-making processes within critical care environments, thereby enhancing patient care outcomes. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Long short-term memory

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AuthAttLyzer-V2: Unveiling Code Authorship Attribution Using Enhanced Ensemble learning Models and Generating Benchmark Dataset 20th

AuthAttLyzer-V2: Unveiling Code Authorship Attribution Using...

引用

20th international conference on Data Science, ICDATA 2024, held as part of the World Congress in Computer Science, Computer engineering and Applied computing, CSCE 2024

作者： HajiHosseinKhani, Sepideh Joshi, Bhaskar Habibi Lashkari, Arash School of Information Technology York University TorontoON Canada International Institute of Information Technology Telangana Hyderabad500032 India

ISBN: (纸本)9783031858550

Source Code Authorship attribution (SCAA) is crucial for software classification because it provides insights into the origin and behavior of software. By accurately identifying the author or group behind a piece of code, experts can better understand the motivations and techniques of developers. In the cybersecurity era, this attribution helps trace the source of malicious software, identify patterns in the code that may indicate specific threat actors or groups, and ultimately enhance threat intelligence and mitigation strategies. This paper introduces an updated version of the Authorship Attribution Analyzer, named AuthAttLyzer-V2, a sophisticated feature extractor for SCAA. This iteration focuses on lexical, semantic, syntactic, and N-gram features. Our investigation targets author identification in C++ by evaluating 24,000 source code samples from 3,000 authors. Our methodology integrates Random Forest, Gradient Boosting, and XGBoost models, enhanced with Shapley Additive Explanations (SHAP) for interpretability. The study demonstrates how ensemble models can effectively discern individual coding styles, offering insights into the unique attributes of code authorship. This approach is pivotal in understanding and interpreting complex patterns in authorship attribution, especially for malware classification. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Computer viruses

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Technological Aspects of E-learning System in Malaysian Context

Technological Aspects of E-learning System in Malaysian Cont...

引用

international conference on teaching and learning in computing and engineering (LaTiCE)

作者： Parsazadeh, Nadia Ali, Rosmah Zainuddin, Norziha Megat Mohd Univ Teknol Malaysia Fac Adv Informat Sch Kuala Lumpur Malaysia

ISBN: (纸本)9781479935918

Advancement of technology has made it possible to facilitate the delivery of education through an e-learning system almost anywhere and anytime beyond a physical space. To achieve learners' satisfaction and increase acceptance of e-learning among students, an investigation of the technological aspects of e-learning system is urgently needed. The purpose of this study was to identify the most important aspects of an e-learning system that may influence users' perceived usefulness of the e-learning system in Malaysian context. A pilot study was conducted on 100 engineering students at a local university. The findings revealed that four variables namely ease of access, interface design, system quality and internet quality were the most important factors affecting the satisfaction of the e-learning system.

关键词： E-learning system Technology aspects Perceived usefulness learners' satisfaction

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An Overview of computing Pedagogy Using the Flipped Classroom Model in Malaysian Education

An Overview of Computing Pedagogy Using the Flipped Classroo...

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IEEE international conference on teaching, Assessment, and learning for engineering (IEEE TALE) - engineering Next-Generation learning

作者： Wen, Ang Swee Zaid, Norasykin Mohd Harun, Jamalludin Univ Teknol Malaysia Sch Educ Johor Baharu Malaysia

ISBN: (纸本)9781538665220

In the 21st Century, many researchers realized the importance of computing and suggested developments in learning computing. Therefore, there is a need to design a new 'integrated pedagogy' for learning computing to align with the Malaysian Education Blueprint. This will produce future generations that are well-equipped in terms of knowledge and skills. This paper aims to identify computing pedagogy using the Flipped Classroom Model (FCM) in the Malaysian Education setting because the FCM transforms traditional teaching and learning and maximizes the use of technology. Literature reviews and interviews with three computing teachers were carried out to obtain opinions on using the FCM. The literature reviews and teachers' responses identified that the FCM will benefit the students and teachers. The overall findings suggested that the FCM may be implemented in computing subjects and taking into considerations other factors like students' motivation, for active learning or teacher-centered perceptions in implementing FCM.

关键词： computing education computer science education ICT education computing pedagogy flipped classroom

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Investigation of Social Networks and Discussions in STEM Education Communities on Twitter 3

Investigation of Social Networks and Discussions in STEM Edu...

引用

international conference on learning and teaching in computing and engineering

作者： Yuen, Timothy T. Pickering, Trevor A. Univ Texas San Antonio Dept Interdisciplinary Learning & Teaching San Antonio TX 78249 USA Univ Southern Calif Dept Prevent Med Los Angeles CA USA

ISBN: (纸本)9781479999675

With the increasing importance of STEM education and the popularity of microblogging, it becomes important to study the nature of the social network within STEM education in order to observe how members of that community work together. A social network analysis (SNA) was conducted to examine the nature of the STEM education community and its key players on Twitter. The findings from the SNA will show: categories of the key players in this social network, to what extent a community exists on the Twitter platform, and the types of interactions that users contribute to the community, and kinds of information being discussed.

关键词： social network analysis ICT in education Twitter STEM education

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Fostering Co-Creation with Games Transforming formal into non-formal learning and vice versa 6

Fostering Co-Creation with Games Transforming formal into no...

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6th international conference on learning and teaching in computing and engineering (LaTiCE)

作者： Pivec, Maja FH JOANNEUM Univ Appl Sci Inst Design & Commun Graz Austria

ISBN: (纸本)9781538678978

This paper presents four game-based learning designs with focus on situated development of students' creativity and active participation in the learning process. Presented cases are based on role-play, interdisciplinary team work and co-creation, using games and gamification as additional motivation to engage students in project and problem based learning. The reported case studies are from formal learning settings at the university from bachelor and master level and non-formal learning setting with open access to everyone.

关键词： role play game jams applied game design formal learning informal learning

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Experimental Study on Assistive System Using Statistical Signal Processing Technology for Visually Impaired People 10th

Experimental Study on Assistive System Using Statistical Sig...

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10th international conference on Health Informatics and Medical Systems, HIMS 2024 and 10th international conference on Biomedical engineering, BIOENG 2024, held as part of the World Congress in Computer Science, Computer engineering and Applied computing, CSCE 2024

作者： Shimizu, Shunji Hori, Masaya Inoue, Hiroaki Miwakeichi, Fumikazu Hirai, Nobuhide Kikuchi, Senichiro Kato, Satoshi Department of Applied Information Engineering Suwa University of Science Chino Japan Department of Engineering and Management Suwa University of Science Chino Japan Shimizu Research Laboratory Suwa University of Science Chino Japan Department of Interdisciplinary Statistical Mathematics The Institute of Statistical Mathematics Tachikawa Japan Health Administration Center Tokyo Medical and Dental University Bunkyo Japan Department of Rehabilitation Sciences Gunma University Maebashi Japan Oyama Fujimidai Hospital Shimotsuke Japan

ISBN: (纸本)9783031859076

In this study, we will investigate a new image signal processing method in order to develop a highly useful walking support device for visually impaired people. Visually impaired people walk independently using assistive devices. Currently, there are many support devices that use object detection and object recognition using deep learning, but there are still no highly useful devices. The smallest unit constituting an image signal is a pixel. Adjacent pixels are correlated with each other. The positional relationship of pixels expresses the features of objects, and scenery in the image. Autoregressive (AR) model is a regression analysis method used to analyze time-series signals. AR models are one of the basic methods for signal processing for speech recognition and control. Furthermore, in image signal processing, it can be used as a signal processing method when data has some kind of order, such as texture feature extraction, contour processing, and video processing. In this experiment, we converted the pixel array of the image signal into a one-dimensional time-series signal and process the signal. We tried to identify objects or regions within images. The method proposed in this study may be used to extract "Point of Interest" (POI) and "Point of Reference" (POR), which are important information for visually impaired people. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Image texture

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An experience with a peer assisted teaching scheme

An experience with a peer assisted teaching scheme

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international conference on teaching and learning in computing and engineering (LaTiCE)

作者： D'Souza, Daryl Bauers, Astrid Carbone, Angela Ross, Bella RMIT Univ Sch Comp Sci & IT Melbourne Vic Australia Monash Univ OPVCLT Caulfield Australia

ISBN: (纸本)9781479935918

We present a narrative around the use of a peer assisted teaching program to establish its utility in improving teaching and learning outcomes. The program is a structured and collegial approach where academics work together to reinvigorate their teaching practice through reflection and peer-assisted situated learning. The scheme involves colleagues collaborating to analyse existing course and teaching quality data, develop focussed development goals for curriculum and pedagogy, plan and execute strategies to achieve these goals, and monitor their effects and success during a teaching semester. The experience presented in this paper involved a paired peer relationship between two Information and Communication Technology (ICT) lecturers (colleagues) who taught disparate courses and who had separate goals. Despite the apparent dichotomy in the courses taught and the course outcomes, their experience with a small set of goals provided useful information about employing such a scheme, especially its effectiveness despite choosing simple goals. The partners were also inspired to use the scheme again and with a stronger sense of how they might prepare their goals and pursue better implementation thereof. The authors hope the experience will encourage others to adopt such a program or other similar peer assisted teaching schemes to improve teaching and learning outcomes, encourage collegial collaboration within departments, and foster engagement with learning and teaching scholarship.

关键词： teaching innovations best practices experience sharing in computing and engineering education

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Usability Impact of Conversational Chatbot 1st

Usability Impact of Conversational Chatbot

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1st international conference on computing and Emerging Technologies, ICCET 2023

作者： Rasheed, Maryam Iqbal, Muhammad Waseem Fatima, Anam Saleem, Maryam Bhatti, Sohail Masood Ahsan, Muhammad Junaid Department of Computer Science Superior University Lahore Lahore54000 Pakistan Department of Software Engineering Superior University Lahore Lahore54000 Pakistan

ISBN: (纸本)9783031776199

The resurgence of the chatbot has been facilitated by recent developments in machine learning. Recently, chatbot technology has been more widely available on the web and on mobile devices. According to recent statistics, 57% of businesses have already used or plan to execute a chatbot in the close to future. As a result, chatbots will be crucial in a future powered by AI. The goal of chatbots, which can be text-based computer systems, is to mimic human communication skills. In numerous industries, including customer service, e-coaching, and entertainment, they are spreading like wildfire. The effectiveness of these virtual agents cannot yet be evaluated in a consistent manner. As an alternative, a variety of individuals and groups have developed their guiding principles, either exclusively for their chatbot project or with some inspiration from other groups. In this paper, we explore the trends and evaluation techniques currently in use for chatbots. We investigate chatbot evaluation techniques and rank them in accordance with the ISO 9214 usability characteristics of efficiency, effectiveness and satisfaction. After that, we examine the techniques applied in the literature between 1970 and 2022 and contrast the outcomes. We find a clear trend toward examining the efficacy of chatbots in several recent studies, which is likely due to the growing popularity of task-based chatbots, which are increasingly being deployed in many business situations. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Chatbots

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E-commerce Product Sentiment Assessment and Aspect Analysis 1st

E-commerce Product Sentiment Assessment and Aspect Analysis

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1st international Research conference on computing Technologies for Sustainable Development, IRCCTSD 2024

作者： Praveen, M. Vijay, R.R. Aaditya Shreeram, R.S. Manohar, S. Computer Science and Engineering SRM Institute of Science and Technology Chennai India

ISBN: (纸本)9783031823824

This research paper advances Sentiment Analysis and Aspect-Based Sentiment Analysis for e-commerce product reviews, delivering valuable insights for users and product creators. We extend beyond typical sentiment analysis by focusing on specific aspects of products such as features and qualities to provide a comprehensive analysis. Our methodology involves rigorous data preprocessing, including stemming, stop words removal, lemmatization, lower casing, contraction expansion, and tokenization, ensuring organized text data for efficient and accurate analysis. Central to our approach is the Aspect Term Extraction (ATE) step, which employs techniques such as POS Tagging, Noun Combination, Dependency Parsing, and Stop Word Removal to extract aspects from the text. These customized rules identify linguistic patterns and grammatical structures, revealing detailed facets of products. We fine-tune a BERT model for ABSA, processing the dataset to classify aspect sentiments as positive, neutral, or negative, and assigning a sentiment score ranging from –1 (extreme negativity) to +1 (extreme positivity). By leveraging advanced machine learning, we enhance the accuracy and depth of sentiment analysis, providing detailed insights into customer sentiments. This structured approach empowers businesses to extract actionable insights from extensive textual data and sets a new standard for sentiment analysis in digital retail. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Natural language processing systems

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