ScholarWorks@Gachon: Akmalbek, Abdusalomov

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Akmalbek, Abdusalomov (Abdusalomov Akmalbek)

College of IT Convergence (Department of Computer Engineering)

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deep learning:15||object detection:6||fire detection:5||CNN:4||YOLOv8:4||forest fire:4||YOLOv5:4||lightweight model:4||medical imaging:3||classification:3||wildfire detection:3||agricultural fire detection:2||recommendation system:2||machine learning:2||fire:2||ResNet:2||custom dataset:2||brain tumor detection:2||artificial intelligence:2||Feature extraction:2||UAV images:2||face detection:2||speech emotion recognition:2||Internet of Things:2||MFCC:2||fire image dataset:2||image segmentation:2||convolutional neural network:2||flame detection:2||MobileNet:1||MobileNetV3:1||Modified AlexNet:1||Polarity detection:1||Poplar (Populus) disease detection:1||Radio frequency:1||Random forests:1||Scene text detection:1||Security:1||Sentiment analysis:1||Sentiment classification:1||Smart homes:1||Spotify datasets (API):1||Surveillance system:1||Teacherstudent collaborative knowledge:1||Topic modeling:1||TranSDet:1||UNet:1||UAVbased monitoring:1||UNet architecture:1||Ultrasound classification:1||Uzbek dishes:1||YOLO:1||YOLO networks:1||YOLOv10:1||YOLOv6:1||YOLOv7:1||agriculture:1||athletes:1||attention mechanism:1||attention modules:1||bidirectional long shortterm memory:1||blind and visually impaired:1||blinking:1||bone fracture detection:1||brain image:1||brain tumor:1||brushfire spread:1||bushfire:1||cardiovascular diagnostics:1||clusteringbased recommendation system:1||computational efficiency:1||computer vision:1||conditional GAN:1||contrast stretching:1||convolutional neural networks:1||coronary artery disease:1||custom loss function:1||data augmentation:1||data preprocessing:1||deep factorization:1||dehazing:1||dilated convolution:1||distillation:1||distributed computing:1||dronebased detection:1||drowsiness detection:1||dynamic scenes:1||early fire detection:1||echocardiogram:1||echocardiography:1||electric vehicles:1||embedding:1||emotion recognition:1||eye tracking:1||facial expression detection:1||facial feature:1||facial mask:1||feature extraction:1||fire monitoring systems: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||harmony search algorithm:1||heterogeneous information:1||histogram equalization:1||hyperparameter optimization:1||image augmentation:1||image blending:1||implicit features:1||improved particle swarm optimization:1||intrusion detection system:1||landmark vectors application:1||lightweight deep learning:1||lithiumion batteries:1||lowresource settings:1||marine safety:1||medical diagnostics:1||medical edge devices:1||medical image analysis:1||medical image augmentation:1||modeling:1||monocular depth estimation (MDE):1||multisensor fusion:1||multicore processor:1||multimodal emotion recognition:1||music trend:1||natural scene images:1||neurooncology:1||nonlocal neural networks:1||oil spill detection:1||optical character recognition:1||parallel computing:1||parking lot:1||parking space management:1||precision agriculture:1||prediction of diseases:1||pretrained MobileNetV2:1||project success:1||python:1||radiographic analysis:1||realtime diagnostics:1||realtime fire detection:1||realtime processing:1||region offering network:1||remote sensing:1||residual learning:1||retina net:1||satellite imagery:1||scale ambiguity:1||segmentation:1||selfsupervised learning:1||sequenceaware:1||ship fire dataset:1||ships:1||shuffling:1||skip connections:1||smart farming:1||smart glasses:1||smart home:1||smoke:1||smoke detection:1||software development methodologies:1||spacefrequency selective convolution:1||spectral analysis:1||speech feature:1||speech recognition:1||sports medicine:1||state of health:1||statistical data:1||superresolution:1||synthetic aperture radar (SAR):1||synthetic medical data:1||synthetic medical image:1||synthetic medical tabular data:1||tag information:1||text recognition:1||texttospeech synthesizer:1||transfer learning:1||type 2 diabetes:1||visually impaired:1||weakly supervised learning:1||weighted nonnegative matrix factorization:1||wildfire incidents:1||wildfire smoke detection:1||AI healthcare:1||“PoplarDisease” dataset:1||AI in agriculture:1||ASIC implementations:1||Agile Software Development:1||Ascon:1||BiFormer:1||Data models:1||Deep learning:1||Detectron2:1||EELAN:1||Ecosystems:1||Extra trees classifier:1||FID:1||FMD:1||Fire detection:1||Firelike lights:1||Flame detection:1||Food calories prediction:1||Food classification:1||GAN:1||Gradio web app:1||Hyperparameter optimization:1||IS:1||Image classification:1||Intrusion detection:1||Lightweight cryptography:1||Lightweight model:1||MRI:1||Machine learning: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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