ScholarWorks@Gachon: Akmalbek, Abdusalomov

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Akmalbek, Abdusalomov (Abdusalomov Akmalbek)

College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))

Research Area: Computer Engineering

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deep learning:12||CNN:3||fire detection:3||forest fire:3||classification:3||YOLOv5:3||Feature extraction:2||recommendation system:2||UAV images:2||fire:2||fire image dataset:2||YOLOv8:2||flame detection:2||ResNet:2||artificial intelligence:2||convolutional neural network:2||MFCC:2||speech emotion recognition:2||face detection:2||UNet architecture:1||Ultrasound classification:1||YOLO networks:1||YOLOv6:1||YOLOv7:1||agriculture:1||attention mechanism:1||attention modules:1||blind and visually impaired:1||blinking:1||brain image:1||bushfire:1||clusteringbased recommendation system:1||computer vision:1||convolutional neural networks:1||custom dataset:1||data preprocessing:1||deep factorization:1||dilated convolution:1||distributed computing:1||drowsiness detection:1||echocardiogram:1||echocardiography:1||embedding:1||emotion recognition:1||eye tracking:1||facial expression detection:1||facial feature:1||facial mask:1||feature extraction:1||fire warning system:1||firelike lights:1||flame classification:1||forest environment:1||fully convolutional network:1||generative adversarial networks:1||ghost shuffle convolution:1||heterogeneous information:1||histogram equalization:1||image segmentation:1||implicit features:1||landmark vectors application:1||machine learning:1||medical imaging:1||modeling:1||multicore processor:1||multimodal emotion recognition:1||music trend:1||natural scene images:1||object detection:1||optical character recognition:1||parallel computing:1||parking lot:1||parking space management:1||prediction of diseases:1||pretrained MobileNetV2:1||project success:1||python:1||region offering network:1||remote sensing:1||retina net:1||satellite imagery:1||sequenceaware:1||ships:1||shuffling:1||skip connections:1||smart glasses:1||smoke:1||software development methodologies:1||spectral analysis:1||speech feature:1||speech recognition:1||synthetic medical data:1||synthetic medical image:1||tag information:1||text recognition:1||texttospeech synthesizer:1||transfer learning:1||type 2 diabetes:1||visually impaired:1||weighted nonnegative matrix factorization:1||wildfire detection:1||Agile Software Development:1||wildfire smoke detection:1||BiFormer:1||Detectron2:1||EELAN:1||FID:1||FMD:1||Fire detection:1||Firelike lights:1||Flame detection:1||IS:1||MobileNetV3:1||Polarity detection:1||Scene text detection:1||Sentiment analysis:1||Sentiment classification:1||Spotify datasets (API):1||Surveillance system:1||Topic modeling:1||UNet:1||

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1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114

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