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• Sub1 Urban Running Experience: Crushing Times and Exploring Osaka, Kyoto, and Tokyo
• SEA-ViT: Sea Surface Currents Forecasting Using Vision Transformer and GRU-Based Spatio-Temporal Covariance Modeling
• How to Fine-Tune and Deploy a Satellite-Specific LLMs Model for Satellite Images
• REG: Refined Generalized Focal Loss for Road Asset Detection on Thai Highways Using Vision-Based Detection and Segmentation Models
• Career Paths for AI Research Scientists: My Journey and Insights
• REG: Refined Generalized Focal Loss for Road Asset Detection on Thai Highways Using Vision-Based Detection and Segmentation Models
• Generative AI: Current Trends and Practical Applications
• Leveraging Large Language Models (LLMs) in Remote Sensing for Land Use/Land Cover (LULC) and Image Classification
• MeViT: A Medium-Resolution Vision Transformer for Semantic Segmentation on Landsat Satellite Imagery for Agriculture in Thailand
• MARS: Mask Attention Refinement with Sequential Quadtree Nodes for Car Damage Instance Segmentation
• Object Detection of Road Assets Using Transformer-Based YOLOX with Feature Pyramid Decoder on Thai Highway Panorama
• Quality of Life Prediction in Driving Scenes on Thailand Roads Using Information Extraction from Deep Convolutional Neural Networks
• A Performance Comparison between GIS-based and Neuron Network Methods for Flood Susceptibility Assessment in Ayutthaya Province
• Enhanced Feature Pyramid Vision Transformer for Semantic Segmentation on Thailand Landsat-8 Corpus
• The Bangkok Urbanscapes Dataset for Semantic Urban Scene Understanding Using Enhanced Encoder-Decoder with Atrous Depthwise Separable A1 Convolutional Neural Networks
• Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images
• Semantic Segmentation on Remotely Sensed Images Using Deep Convolutional Encoder-Decoder Neural Network
• Semantic Labeling in Remote Sensing Corpora Using Feature Fusion-Based Enhanced Global Convolutional Network with High-Resolution Representations and Depthwise Atrous Convolution
• Semantic Segmentation on Remotely Sensed Images Using an Enhanced Global Convolutional Network with Channel Attention and Domain Specific Transfer Learning
• Transportation Mobility Factor Extraction Using Image Recognition Techniques
• Real-Time Polyps Segmentation for Colonoscopy Video Frames Using Compressed Fully Convolutional Network
• Semantic Segmentation On Medium-Resolution Satellite Images Using Deep Convolutional Networks With Remote Sensing Derived Indices
• Road segmentation of remotely-sensed images using deep convolutional neural networks with landscape metrics and conditional random fields
• An enhanced deep convolutional encoder-decoder network for road segmentation on aerial imagery
• Road map extraction from satellite imagery using connected component analysis and landscape metrics
• Image Vectorization of Road Satellite Data Sets