Frontiers in Education, e-Learning, e-Business, Image Processing, and Computer Vision
Description
This book constitutes the proceedings of the 21st International Conference on Frontiers in Education, FECS 2025, and the 24th International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-Government, EEE 2025, the 29th International Conference on Image Processing, Computer Vision and Pattern Recognition, IPCV 2025. They were held as part of the 2025 World Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2025, which took place in Las Vegas, NV, USA, during July 21-24, 2025.
The FECS 2025 Conference received a total of 170 submissions, of which 35 papers were accepted. The EEE 2025 Conference received 87 submissions, of which 21 papers were accepted. The IPCV 2025 Conference received a total of 167 submissions, of which 38 papers were accepted. This volume includes 45 of the accepted papers from FECS 2025, EEE 2025, and IPCV 2025.
The papers were organized in topical sections as follows: Education, Learning Strategies, Programming Languages, and Case Studies; Teaching Strategies, Teaching Tools, and Academic Assessment; Utlilzation of Artificial Intelligence, Data Analytics, and Large Language Models in Education; 24th International Conference on e-Learning, e-Business, Enterprise Information Systems and e-Government, EEE 2025; Imaging Science, Computer Vision, Artificial Intelligence, and CNN; Image Processing, Computer Vision, Pattern Recognition, and Novel Applications; and Short/Poster Research Papers.
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Content
.- SECTION: EDUCATION, LEARNING STRATEGIES, PROGRAMMING LANGUAGES, AND CASE STUDIES
.- Python Pioneers: A K-12 Just-in-Time, Culturally Relevant, Computational Thinking Based Python Learning Experience.
.- BugTor: A Feedback-Driven Static Analysis Tailored for Novice Java Programmers.
.- Integrating Programming Beyond CS to Foster Inclusive Computing Literacy.
.- Development of Interdisciplinary Computing-Based Programs for Democratizing Computing Workforce.
.- A Spotlight on the Role of Functional Programming & Haskell in Computing & Software Development.
.- Numerical Solution for the One-Dimensional Schrodinger Equation and Allowed Energies of Quantized Systems.
.- SECTION: TEACHING STRATEGIES, TEACHING TOOLS, AND ACADEMIC ASSESSMENT
.- Collaboration, Flipped Classrooms and the Challenge of Board Tutorials in Mathematics Education.
.- Integrating Virtual Reality and Research Methods into an Undergraduate Computer Science Elective Course.
.- Engaging First and Second Year Undergraduates with Parallel and Distributed Computing: Lessons from Unplugged and Game-Based Activities.
.- Assessing Academic Success and Proficiency of Non-Computing Students in Foundational Computing Courses.
.- Improving Student Persistence by Studying Course Withdrawal Data.
.- Analysis of the Correlation Between Education and Social Advancement through Pseudonym Information Combination.
.- SECTION: UTILIZATION OF ARTIFICIAL INTELLIGENCE, DATA ANALYTICS, AND LARGE LANGUAGE MODELS IN EDUCATION
.- Generating Educational Interactive Fiction Games Using ChatGPT.
.- AI Catalysing and Reformulating Innovation-Driven Education in ICT Engineering.
.- Integrating Edge AI and Embedded Systems into Computer Architecture with Raspberry Pi.
.- Buddy, Not Crutch: Ethical Use of Zero-Shot Prompting with Public LLMs for Software Engineering Technical Interview Preparation.
.- Enhancing Granular Sentiment Classification with Chain-of-Thought Prompting in Large Language Models.
.- Tensor Decomposition Optimization for Student Success Prediction Modeling in Hands-on Cybersecurity Exercises.
.- Integrating Generative AI into Blockchain and Marketing Education at HBCUs: A Proposed Framework.
.- A Proposed Model for Resource Consumption Optimization within Inter-Organizational Business Process Execution.
.- A Review Study on Self-Learning Braille Systems.
.- EduRAG: Improving AI Teaching Assistants with Retrieval-Augmented Generation.
.- Future Multimedia Integrated Learning Methodologies and its Applications in Digital Education.
.- SECTION: IMAGING SCIENCE, COMPUTER VISION, ARTIFICIAL INTELLIGENCE, AND CNN
.- Enhancing Time Series Clustering and Classification via Order-Preserving Wasserstein Distance, Local Fourier Approximations, and Ensemble Learning.
.- Comparing Human Fall Detection Algorithms of Millimeter-Wave Radar Among MobileViT, RepLKNet and tinyViT Networks.
.- Smart Computer Vision System Based on Multi-Class Informed Object Detection Using YOLOv7 and ResNet-18.
.- Multi-Classification for Specifying the Gender for Adults and Children Using the Resnet-18 Architecture.
.- Low-light Video Enhancement Using Attention-based Deep Neural Networks.
.- Optical Flow Estimation Using Transformer-based Deep Neural Networks.
.- Appearance-Based Gaze Estimation with Deep Learning for Interactive Digital Signage.
.- Detecting Canine Cataracts: A Deep Learning and Clustering Approach.
.- Near Real-Time Dust Aerosol Detection with 3D Convolutional Neural Networks on MODIS Data.
.- Computation-Efficient Hierarchical Tensor Train Convolutional Architectures for Diffusion-Based Medical Image Segmentation.
.- Robust DDoS-Attack Classification with 3D CNNs Against Adversarial Methods.
.- SECTION: IMAGE PROCESSING, COMPUTER VISION, PATTERN RECOGNITION, AND NOVEL APPLICATIONS
.- Morphological Component Analysis for Micro-Doppler Signal Decomposition in Outdoor Environments.
.- Evaluating Open-Source Pretrained Models for Natural Disaster Response.
.- An Empirical Study on Underwater Image Enhancement for Robust Instance Segmentation.
.- Analysis of Post-Disaster Damage Detection using Aerial Footage from UWF Campus after Hurricane Sally.
.- Smart Computer Vision System for Real-Time Monitoring of Car Parking Duration Using YOLOv7 and Deepsort.
.- R-C-P Method: An Autonomous Volume Calculation Method Using Image Processing and Machine Vision.
.- Measuring Light Attenuation via Paper Materials Using Image Processing, and an Application Concept.
.- Uncovering Crime Patterns: A Geospatial Clustering Approach.
.- An Overview of Real-Time Computer Vision-Based Traffic Analysis Systems.
.- SECTION: SHORT/POSTER RESEARCH PAPERS
.- Using Data Mining for Effective Customer Relations in Retail Sector.
.- Depth Perception Control Using Camera Focus Control and Foveated Rendering in the Visual System of an Avatar Robot.