3rd International Conference on Data Mining, Big Data and Machine Learning (DBML 2025) March 28 ~ 29, 2025, Virtual conference
Evaluating the Opportunities and Obstacles of Blockchain Technology in Saudi Arabia: A Case Study of STC Pay in Modern Applications
Ahmed Abdallah Abaker, Imam Muhammad ibn Saud University, Saudi Arabia
Synthetic Personas: Enhancing Demographic Response Simulation through Large Language Models and Genetic Algorithms
Morten Grundetjern, Per Arne Andersen and Morten Goodwin, University of Agder, Norway
Automatic Speech Synthesis for Arabic Language using the Generatives Schemes Method
Chegrani Lamari, Guerti Mhani and Boudraa Bachir, Algeria
Workload Characterization for Resource Optimization of Big Data Analytics: Best Practices, Trends, and Opportunities
Dominik Scheinert and Alexander Guttenberger, Technische Universitat Berlin, Germany
Stable Distribution Naive Bayes Achieves Higher Accuracy Than Traditional Naive Bayes Classification
Xiaoying Zeng and Eugene Pinsky, Boston University, USA
Elliptical Mixture Models Improve the Accuracy of Gaussian Mixture Models with Expectation-maximization Algorithm
Xiaoying Zeng and Eugene Pinsky, Boston University, USA
Enhancing Naive Bayes Algorithm with Stable Distributions for Classification
Nahush Bhamre, Pranjal Prasanna Ekhande and Eugene Pinsky, Boston University, USA
Challenging the Dominant Knowledge Systems through Critical Curriculum Studies Education
Peter Kofi Dabie, Miami University, USA
Exploring Factors for Supporting Post COVID-19 Education Systems Resilience: Insights from Rwanda and Kenya
Dudziro Nhengu, Midlands State University, Zimbabwe
Two Birds with One Stone: Research and Teaching in International Collaboration Using Blended and Hybrid Methods
Vera Alpar, Metropolitan University, Hungary
Topic Mining based on Fine-Tuningsentence-BERT and LDA
Jianheng Li and Lirong Chen, Inner Mongolia University, China
Rethinking Dynamic Scale Training with Regularization Effect of Data Augmentation and Data Pool
Yuxuan Cheng, Beijing Normal-Hong Kong Baptist University, China
Arabic Metaphor Sentiment Classification using Semantic Information
Israa Alsiyat, Lancaster University, UK
4th International Conference on Computing and Information Technology Trends (CCITT 2025) January 23 ~ 24, 2025, Virtual Conference
Comparison of LLM Few-Shot vs. Synthetic Data Approaches for Lithuanian Event Extraction
Arunas Ciuksys and Rita Butkiene, Kaunas University of Technology, Lithuania
Enhancing Chinese-English Translation in AI Chatbots: A Comparative Evaluation of CHATGPT-4O and Grok-Beta using a Health Science Text from the New York Times
Wang Wei and Zhou Weihong, Beijing International Studies University, China
Assessing and Predicting Air Pollution in Asia: A Regional and Temporal Study (2018-2023)
Anika Rahman1 and Mst. Taskia Khatun2,1 Stamford University Bangladesh, Bangladesh, 2 Daffodil International University, Bangladesh
From Crisis to Insights: Leveraging Data Analytics to Shape Pandemic-Era Educational Technology Innovations
Munachiso Angela Muoneke, University of the Potomac, USA
The Impact of Democratic Leadership on Job Satisfaction Among Teachers in South Hebron Directorate Schools
Mohammad Mahmoud Rjoob, Ministry of Education, Palestine
Development of an Automated Diagnostic System using Genetic Algorithms in Electroneurodiagnostic Data
Bogart YailMarquez, Angeles Quezada, Arnulfo Alanisand Jose Sergio Magdaleno-Palencia, National Technological Institute of Mexico, Mexico
