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A Study on the Optimization of Fire Awareness Model Based on Convolutional Neural Network: Layer Importance Evaluation-Based Approach

Won Jin, Mi-Hwa Song The Transactions of the Korea Information Processing Society, Vol. 13, No. 9, pp. 444-452, Sep. 2024

https://doi.org/10.3745/TKIPS.2024.13.9.444
Keywords: Layer Importance Evaluation, transfer learning model, CNN Optimization, Real-Time Fire Detection, Contribution

A Study on Leakage Detection Technique Using Transfer Learning-Based Feature Fusion

YuJin Han, Tae-Jin Park, Jonghyuk Lee, Ji-Hoon Bae The Transactions of the Korea Information Processing Society, Vol. 13, No. 2, pp. 41-47, Feb. 2024

https://doi.org/10.3745/TKIPS.2024.13.2.41
Keywords: Pipe Leak Detection, Deep Learning, 1D CNN, feature fusion, Transfer Learning

Comparison of Deep Learning Models Using Protein Sequence Data

Jeung Min Lee, Hyun Lee KIPS Transactions on Software and Data Engineering, Vol. 11, No. 6, pp. 245-254, Jun. 2022

https://doi.org/10.3745/KTSDE.2022.11.6.245
Keywords: CNN, LSTM, GRU, Combined Model, Protein Sequence

An Input Transformation with MFCCs and CNN Learning Based Robust Bearing Fault Diagnosis Method for Various Working Conditions

Yangjin Seo KIPS Transactions on Software and Data Engineering, Vol. 11, No. 4, pp. 179-188, Apr. 2022

https://doi.org/10.3745/KTSDE.2022.11.4.179
Keywords: Bearing Fault Diagnosis, Deep Learning, Distribution Difference, MFCCs, CNN

Epileptic Seizure Detection Using CNN Ensemble Models Based on Overlapping Segments of EEG Signals

Min-Ki Kim KIPS Transactions on Software and Data Engineering, Vol. 10, No. 12, pp. 587-594, Dec. 2021

https://doi.org/10.3745/KTSDE.2021.10.12.587
Keywords: Epileptic Seizure, EEG, CNN, Ensemble model

Watershed Algorithm-Based RoI Reduction Techniques for Improving Ship Detection Accuracy in Satellite Imagery

Seung Jae Lee, Ji Won Yoon KIPS Transactions on Software and Data Engineering, Vol. 10, No. 8, pp. 311-318, Aug. 2021

https://doi.org/10.3745/KTSDE.2021.10.8.311
Keywords: Coastline Extraction, satellite image, R-CNN, watershed algorithm

Estimating Gastrointestinal Transition Location Using CNN-based Gastrointestinal Landmark Classifier

Hyeon Woong Jang, Chang Nam Lim, Ye-Suel Park, Gwang Jae Lee, Jung-Won Lee KIPS Transactions on Software and Data Engineering, Vol. 9, No. 3, pp. 101-108, Mar. 2020

https://doi.org/10.3745/KTSDE.2020.9.3.101
Keywords: Capsule Endoscopy(CE), Convolutional Neural Network(CNN), Gastrointestinal Location Tracking

Measurement of Construction Material Quantity through Analyzing Images Acquired by Drone And Data Augmentation

Ji-Hwan Moon, Nu-Lee Song, Jae-Gab Choi, Jin-Ho Park, Gye-Young Kim KIPS Transactions on Software and Data Engineering, Vol. 9, No. 1, pp. 33-38, Jan. 2020

https://doi.org/10.3745/KTSDE.2020.9.1.33
Keywords: Drone, UAV, RCNN, Deep Learning, Counting Number, Construction Material

Souce Code Identification Using Deep Neural Network

Jisu Rhim, Tamer Abuhmed KIPS Transactions on Software and Data Engineering, Vol. 8, No. 9, pp. 373-378, Sep. 2019

https://doi.org/10.3745/KTSDE.2019.8.9.373
Keywords: Computer Forensic, Frequency Based Embedding, TF-IDF, Deep Learning, CNN

Noise-Robust Porcine Respiratory Diseases Classification Using Texture Analysis and CNN

Yongju Choi, Jonguk Lee, Daihee Park, Yongwha Chung KIPS Transactions on Software and Data Engineering, Vol. 7, No. 3, pp. 91-98, Mar. 2018

10.3745/KTSDE.2018.7.3.91
Keywords: Porcine Respiratory Diseases, Noise Robustness, Sound Analysis, Dominant Neighborhood Structure, Convolutional Neural Network

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