Computational Intelligence in Engineering Science: First International Conference, ICCIES 2025, Ho Chi Minh City, Vietnam, July 2325, 2025, Proceedin [Paperback]

This four-volume set constitutes the refereed proceedings of the First International Conference on on Computational Intelligence in Engineering Science, ICCIES 2025, in Ho Chi Minh City, Vietnam, during July 23–25, 2025.

The 115 full papers presented in these proceedings were carefully reviewed and selected from 210 submissions. The papers are organized in the following topical sections:

Part I: Machine Learning; Wireless Networks (6G)

Part II: Computer Vision; Natural Language Processing

Part III: Intelligent Systems; Internet of Things

Part IV: Machine Learning; Control Systems

.- Machine Learning.
.- A Hardware-Friendly Approach for ECG Classification based on Deep Learning Algorithm.
.- PRIMO: A Privacy-Preserving Decentralized Machine Learning Algorithm.
.- Smart Harvesting: Sorting Coffee Fruit Maturity Using Deep Learning.
.- Combining Explainable AI (XAI) and Regression Analysis to Explain Relationships in Electricity Consumption Behavior.
.- Detecting Anomalies and Defects in Integrated Circuits by Ensembling Deep Learning Models.
.- Doctor AI: A Hybrid Model for Clinical Ocular Disease Classification.
.- Forecasting Weather: A Scenario of the Mekong Delta.
.- Melanoma Detection Using Augmented ResNet34 for High-Precision Dermoscopic Image Classification.
.- Abnormal Plum Fruit Detection Using Unsupervised Learning.
.- Hybrid Deep Learning Model for MRI Brain Tumor Identification.
.- Leveraging Machine Learning for Accurate Order Quantity Forecasting: A Case Study of Vietnam’s Coffee Production Industry.
.- An Attentive Deep Neuro-Fuzzy Network for Interpretable Breast Cancer Diagnosis.
.- Detection of Littering Behavior Using MobileNet and Vision Transformer.