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Computational Intelligence in Engineering Science: First International Conference, ICCIES 2025, Ho Chi Minh City, Vietnam, July 2325, 2025, Proceedings, Part I [Mīkstie vāki]

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  • Formāts: Paperback / softback, 431 pages, height x width: 235x155 mm, 200 Illustrations, black and white; XII, 431 p. 200 illus., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 2584
  • Izdošanas datums: 27-Aug-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 303198160X
  • ISBN-13: 9783031981609
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Computational Intelligence in Engineering Science: First International Conference, ICCIES 2025, Ho Chi Minh City, Vietnam, July 2325, 2025, Proceedings, Part IPalielināt
  • Formāts: Paperback / softback, 431 pages, height x width: 235x155 mm, 200 Illustrations, black and white; XII, 431 p. 200 illus., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 2584
  • Izdošanas datums: 27-Aug-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 303198160X
  • ISBN-13: 9783031981609
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031981609.html

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 Vietnams Coffee Production Industry.
.- An Attentive Deep Neuro-Fuzzy Network for Interpretable Breast Cancer
Diagnosis.
.- Detection of Littering Behavior Using MobileNet and Vision Transformer.
.- The effectiveness of channel and spatial attention for improving image
classification.
.- ATMOS: IoT-Driven Air Quality Monitoring and Forecasting System Using
Machine Learning and Fog Computing.
.- Leveraging Deep Neural Networks for Regional Weather Forecasting in
Vietnam.
.- Detecting Abnormalities in Chest X-ray Images by Combining Classification
Methods, Object Detection, and Data Balancing.
.- Support Decision Making for Supplier Selection using Feature Importance.
.- Optimizing NP-Hard Problems: A Comparative Study of Metaheuristic
Algorithms with Benchmark Performance Analysis.
.- Wireless Networks (6G).
.- On the Performance of Downlink LoRa Networks with Fountain Codes and
Diversity Techniques.
.- Maximizing Secrecy Performance in UAV-Based Cognitive Relay Systems.
.- Outage Performance of NOMA-Aided Multi-hop Relay Schemes in Underlay
Cognitive Networks using Foun-tain Codes.
.- Energy Outage Analysis for NOMA-based UAV-MEC with imperfect CSI and SIC
in IoT network.
.- Secure Edge Computing in UAV-Assisted Backscatter Communication NOMA
Wireless Sensor Network with Friendly Jamming.
.- Multi-Factor Authentication Healthcare Data Security Framework.
.- Human-Centric Wireless Energy Harvesting System Design for Rural
Ubiquitous Communication in Industry 5.0.
.- Performance Analysis of MISO TAS System Using Short Packet Communication
Under Impact of Co-Channel Interference.
.- Performance Enhancement for Antenna Array using Partial Ground and
Reflective Surface.
.- BLER analysis of Short Packet Communication in Wireless Energy Harvesting
Relaying Networks over Nakagami-m fading.
.- A Lightweight Full-Resolution Encoder-Decoder Network for 5G-LTE
Spectrogram-based Spectrum Sensing.
.- On Performance Evaluation of Fountain Codes-Based Multicast Scheme in
Presence of Multiple Passive Eavesdroppers Over INID Rayleigh Fading Channels.