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Channels - Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan :: FRELIP Discovery
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Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan
Image Super-Resolution Reconstruction Method Based on Improved Generative Adversarial Network
YOLOv9-Assisted Vision System for Health Assessment in Poultry Using Deep Neural Networks
Camera traps and deep learning enable efficient large‐scale density estimation of wildlife in temperate forest ecosystems
Vehicle Detection Using YOLOv8 on Low-Resolution Images
Evaluating methods for high‐resolution, national‐scale seagrass mapping in Google Earth Engine
A new coastal rock-dwelling gecko of the subgenus Japonigekko (Squamata, Gekkonidae, Gekko) from western Kyushu, Japan
Population dynamics of the Manyara monkey (Cercopithecus mitis manyaraensis) and vervet monkey (Chlorocebus pygerythrus) in Lake Manyara National Park, Tanzania
Quantifying aboveground herbaceous biomass in grassy ecosystems: a comparison of field and high‐resolution UAV‐LiDAR approaches
UASR‐A: An Efficient Edge Super‐Resolution Accelerator With Hardware‐Algorithm Co‐Design Techniques
Limnocythere curvispinosa sp. nov. (Crustacea, Ostracoda) from two ancient lakes in the Xiaojiang Fault zone, Yunnan Province, southwestern China
Deep Learning Methods for Super-Resolution of Biomedical Images: A Brief Survey, Methodology, Application, and Challenge
A study of the plankton and benthos of Ekole river in Bayelsa state, Nigeria
Three new non-lacustrine species of the endemic freshwater gastropod genus Sulawesidrobia (Caenogastropoda, Truncatelloidea, Tateidae) from Sulawesi, Indonesia, with additional records of species from ancient Lake Poso
A Study on Spectral Super-resolution of Hyperspectral Imagery based on
PSO-WESRGAN: A NOVEL DOCUMENT IMAGE SUPER RESOLUTION
Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs
Redescription of Semisulcospira reticulata (Mollusca, Semisulcospiridae) with description of a new species from Lake Biwa, Japan
DuckNet: an open‐source deep learning tool for waterfowl species identification in UAV imagery
Systematics and biogeography of Chrysogorgiidae from the Indian Ocean: discovery of new species on deep-sea ridges
Deep learning‐based ecological analysis of camera trap images is impacted by training data quality and quantity
TOC-SR: Task-Optimal Compact diffusion for Image Super Resolution
A hydrophilic gel matrix for single-molecule super-resolution microscopy
A UAV‐based deep learning pipeline for intertidal macrobenthos monitoring: Behavioral and age classification in Tachypleus tridentatus
Integrating phylogeographic and phenotypic evidence to delimit deep evolutionary lineages in the Dryophytes japonicus species complex, with an assessment of their conservation needs