
Computational Intelligence in Engineering Science
Description
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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
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Content
.- Machine Learning.
.- Clickbait Detection: A Comparative Analysis of Traditional Machine Learning, Deep Learning, and Large Language Models.
.- Breast cancer classification based on fuzzy rules and deep learning techniques.
.- Enhancing Financial Time Series Forecasting through Anomaly Detection and Repair.
.- Explainable AI for Lung Cancer Classification Using Histopathological Images
.- Predicting protein-protein interactions: A case study using Hilbert transform with combining ensemble learning model.
.- Understanding Job Switching Risks through Interpretability Evaluation.
.- Tensor Synergy Network for Multimodal Hate Speech Detection.
.- An Ensemble-Based Approach with PhoBERT for Vietnamese Hate and Offensive Spans Detection.
.- Scene Sino-Nom Text Optical Character Recognition in Vietnam: a novel approach combining deep learning and linguistic knowledge.
.- RAG Prompting for Mental Health Classification with LLM: A Resource-Efficient Alternative to Instruction Tuning.
.- Detecting AI-Generated Vietnamese News Articles with Multilingual-E5 and BERT.
.- Time Series Classification based on Motif Information and Random Forest Algorithm.
.- Deep Learning-Based Classification of Ovarian Cancer Subtypes in Histopathology.
.- Illuminating Advances: A Comprehensive Review of Optical Character Recognition for the English Language.
.- Imbalanced Data Handling in Financial Distress Prediction: Resampling or Weighted Loss?
.- Spatial-Temporal Feature Extraction for Tanzanian Sign Language Recognition in Medical Diagnostics.
.- Convolutional Neural Network to Classify Lumber Spine Degenerative Conditions from MRI Images.
.- Time Series Classification Using HMM and GMM with Pomegranate Library.
.- Control Systems.
.- Formation Control of Wheeled Mobile Robots for Moving Target Circumnavigation Using Distributed Estimator and Dynamic Surface Control.
.- Integrating Visual Attention into Deep Reinforcement Learning for Enhanced Control in Racing Games.
.- PlanFormer: Enhancing Transformer-based Closed-loop Planning Performance for Autonomous Driving.
.- EMG-Based Upper Limb Joint Angle Estimation Using LSTM and High-speed Tracking System.
.- Design of Control of Battery Storage System for Enhance Power Tracking following the Composite PID model.
.- Hybrid Metaheuristic Speed Controller for Uncertain Permanent Magnet Synchronous Motor.
.- Advanced Sliding Sensorless Speed Control of PMSM Driving System Using Enhanced Sliding Mode Observer.
.- Comparative Evaluation of Memristor-Based 7T2M and 8T3M NVSRAM Architectures.
.- An Implementation of Rights Management Mechanism within the e-Healthcare Domain.
.- A Real-time Gateway Hydroponic System Design.
.- Reducing Energy Losses and Enhancing Efficiency of Inverter Systems in Electric Vehicle Drivetrains.
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