Multiscale feature fusion and enhancement in a transformer for the fine-grained visual classification of tree species.

Identification of Rare Wildlife in the Field Environment Based on the Improved YOLOv5 Model.

Wildlife Real-Time Detection in Complex Forest Scenes Based on YOLOv5s Deep Learning Network.

Vulnerabilities Analysis and Secure Controlling for Unmanned Aerial System Based on Reactive Synthesis.

Forest-PointNet: A Deep Learning Model for Vertical Structure Segmentation in Complex Forest Scenes.

Combining the Back Propagation Neural Network and Particle Swarm Optimization Algorithm for Lithological Mapping in North China.

A survey on computational strategies for genome-resolved gut metagenomics.

Unsupervised Semantic Segmenting TLS Data of Individual Tree Based on Smoothness Constraint Using Open-Source Datasets.

mMGE: a database for human metagenomic extrachromosomal mobile genetic elements.

AdQSM: A New Method for Estimating Above-Ground Biomass from TLS Point Clouds.

A New Quantitative Approach to Tree Attributes Estimation Based on LiDAR Point Clouds.

New Method for Forest Resource Data Collection Based on Smartphone Fusion with Multiple Sensors.

A Deep Learning Model for Quick and Accurate Rock Recognition with Smartphones.

Measurement of volume and accuracy analysis of standing trees using Forest Survey Intelligent Dendrometer.

Recognizing Multiple Types of Rocks Quickly and Accurately Based on Lightweight CNNs Model.