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ORCIDCIVEMSA 2025: Piraeus, Greece
- IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2025, Piraeus, Greece, June 12-14, 2025. IEEE 2025, ISBN 979-8-3315-2435-7
- Yingwen Chen, Kengcan Feng, Ying Xu, Tianlei Wang, Yikui Zhai:
Unsupervised Hierarchical Denoising Guided Student-Teacher Framework for Battery Spot Welding Anomaly Detection. 1-6 - Tao Huang, Xihe Kuang, Nan Meng, Teng Zhang:
MobileSpine: A Mobile-based 3D Reconstruction System for Remote Scoliosis Assessment. 1-6 - Fernando Cosío, Julio Molleda, Fidel Díez Díaz
, Rubén Usamentiaga, Manuel A. Rodríguez:
A Data-Driven Approach for Smart Electricity Management in Rural Energy Communities. 1-6 - V. Subramanya, Dalila B. Megherbi:
Analysis and Evaluation of Various Factors Affecting Deep Learning Prediction Accuracy for Face Recognition. 1-6 - Derek Johnston, Dylan Tarter, Kitiara Griffin, Tanja Karp, Gordon Christopher, Dimitri Pappas:
Classification of Analyte in Aqueous Solution via High-Frequency Transmission Spectroscopy. 1-5 - Farhad Ali, Shah Nazir, Habib Ullah Khan, Mohammad Kamel Bader Alomari:
Optimizing Saas For Data-Driven IoT Applications In Smart Factory Communication. 1-5 - Shichen Qi, Tinghan Xu, Yuanhao Liang, Or Ka Lun Calvin, Vivian Weiqun Lou, Ning Xi, Yong Hu:
Sarcopenia Risk Levels Recognition by Gait Kinetics Using Deep Learning. 1-5 - Sahar Qaadan, Abdelrahman AlZamer, Moaz Mohamed, Aiman Alshare, Benedikt Schmuelling:
Introducing Feature Importance Consistency (FIC) in XAI Models: A Comprehensive Evaluation using Rank Correlation Coefficients. 1-6 - Rudy Winarto, Mauridhi Hery Purnomo, Wiwik Anggraeni:
Enhancing the Performance of Gas Turbines Predictive Emissions Monitoring System: A Stacked Ensemble Machine Learning Models. 1-6 - Shuoheng Yang, Ningbo Fei, Junpeng Li, Guang-Sheng Li, Yong Hu:
An auto-Segmentation pipeline for Diffusion Tensor Imaging on spinal cord. 1-5 - Chih-Hsuan Chiang, Der-Sheng Han, Zong-Han Lu, Cheng-Wei Tsai, Jin-Chern Chiou:
Enhancing Fall Risk Assessment with Deep Learning: A CNN-BiLSTM Approach Using Plantar Pressure Sensors. 1-5 - Nikoo Fakhraei, Ruggero Donida Labati, Vincenzo Piuri, Fabio Scotti:
Deep Learning-based Iris Quality Assessment for Images Sourced from Websites and Social Media. 1-7 - Antonio José Aragón Molina, Sofia Alemanno, Giulia Caccia, Carlo Campobasso, Cristina Cattaneo, Danilo De Angelis, Ruggero Donida Labati, Daniele M. Gibelli, Andrea Palamenghi, Vincenzo Piuri, Fabio Scotti:
Towards Automatic Computation of the SkullCode: A Novel Biometric Approach for Cranial Identification. 1-6 - Nan Meng, Weichen Qi, Teng Zhang:
Automatic Pedicle Screw Placement Based On Simulated Annealing Algorithm. 1-6 - Rina Yulius, Surya Sumpeno, Mauridhi Hery Purnomo, Rudy Winarto:
Deep Learning Based Student Engagement Detection: Comparison of Model Architectures and Computational Time Efficiency. 1-6 - Zirui Zhao, Xiaodong Zhang, Aibin Zhu:
A fiber grating human-robot interaction force sensor for lower limb rehabilitation exoskeleton. 1-5 - Michael Levine, Dalila B. Megherbi:
Accelerating Hardware Computational Speed-up of Digital Image Processing Algorithms using Flexible Tunable Multi-NIOS-II Soft Processors on an FPGA: A Centralized Versus a Distributed Solution. 1-5 - Vivien Arief Wardhany, I Ketut Eddy Purnama, Mauridhi Hery Purnomo:
Deep Learning Multi-Feature Analysis of Cough Audio Signal for Tuberculosis identification. 1-6
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