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Browsing by Keyword : Machine learning models

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Showing results 1 to 10 of 10

A Multi-layered Collaborative Framework for Evidence-driven Data Requirements Engineering for Machine Learning-based Safety-critical Systems
  • 2023-03-27
  • Proceedings of the ACM Symposium on Applied Computing, pp.1404-1413
  • Association for Computing Machinery
A visualization system for performance analysis of image classification modelsoa mark
  • 2020-01-26
  • IS and T International Symposium on Electronic Imaging Science and Technology, Vol.2020 No.1
  • Society for Imaging Science and Technology
Analysis and Prediction of Nanowire TFET’s Work Function Variation
  • 2024-04-01
  • Journal of Semiconductor Technology and Science, Vol.24 No.2, pp.96-104
  • Institute of Electronics Engineers of Korea
Are We Training with The Right Data? Evaluating Collective Confidence in Training Data using Dempster Shafer Theory
  • 2022-01-01
  • Proceedings - International Conference on Software Engineering, pp.11-15
  • IEEE Computer Society
Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniquesoa mark
  • Dewangan, Sheetal Kumar;
  • Jain, Reliance;
  • Bhattacharjee, Soumyabrata;
  • Jain, Sandeep;
  • Paswan, Manikant;
  • Samal, Sumanta;
  • Ahn, Byungmin
  • 2024-05-01
  • Journal of Materials Research and Technology, Vol.30, pp.2377-2387
  • Elsevier Editora Ltda
Fair Federated Learning for Multi-Task 6G NWDAF Network Anomaly Detection
  • 2024-01-01
  • IEEE Transactions on Intelligent Transportation Systems
  • Institute of Electrical and Electronics Engineers Inc.
Noise Reference Signal-Based Denoising Method for EDA Collected by Multimodal Biosensor Wearable in the Field
  • Lee, Gaang;
  • Choi, Byungjoo;
  • Jebelli, Houtan;
  • Ryan Ahn, Changbum;
  • Lee, Sanghyun
  • 2020-11-01
  • Journal of Computing in Civil Engineering, Vol.34 No.6
  • American Society of Civil Engineers (ASCE)
Parkinson’s disease diagnosis in cepstral domain using MFCC and dimensionality reduction with SVM classifieroa mark
  • Rahman, Atiqur;
  • Rizvi, Sanam Shahla;
  • Khan, Aurangzeb;
  • Abbasi, Aaqif Afzaal;
  • Khan, Shafqat Ullah;
  • Chung, Tae Sun
  • 2021-01-01
  • Mobile Information Systems, Vol.2021
  • Hindawi Limited
Prediction and optimization of the efficiency and energy consumption of an ammonia vacuum thermal stripping process using experiments and machine learning modelsoa mark
  • Lee, Youn Jun;
  • Kang, Jin Kyu;
  • Jung, Sung Hyo;
  • Lee, Chang Gu;
  • Park, Seong Jik;
  • Park, Jun Min;
  • Park, Cheol
  • 2024-05-01
  • Environmental Technology and Innovation, Vol.34
  • Elsevier B.V.
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