Rapid detection of corn seed turtle cracks based on transmitted light image and deep learning method.

Modeling and Analysis of Stacker Terminal Picking Accuracy Based on the Jacobian-Torsor Theory.

Sea Ice Extraction via Remote Sensing Imagery: Algorithms, Datasets, Applications and Challenges.

Causal inference in the medical domain: a survey.

Updating Road Maps at City Scale With Remote Sensed Images and Existing Vector Maps.

AIseed Simulation: A seed simulation sorting software for rapidly determining seed processing procedures and parameters.

DEA: Data-efficient augmentation for interpretable medical image segmentation.

DEM super-resolution guided by shaded relief using attention-based fusion.

Space or time for video classification transformers.

AIseed: An automated image analysis software for high-throughput phenotyping and quality non-destructive testing of individual plant seeds.

Federated Active Learning for Multicenter Collaborative Disease Diagnosis.

A Contour Line Group Simplification Method Based on Classified Terrain Features.

Leveraging Deep Convolutional Neural Network for Point Symbol Recognition in Scanned Topographic Maps.

Sea Ice Extraction via Remote Sensed Imagery: Algorithms, Datasets, Applications and Challenges.

Semi-supervised Road Updating Network (SRUNet): A Deep Learning Method for Road Updating from Remote Sensing Imagery and Historical Vector Maps.

Progressive Collapse of Dual-Line Rivers Based on River Segmentation Considering Cartographic Generalization Rules.

A Multi-Scale Residential Areas Matching Method Considering Spatial Neighborhood Features.

Road Network Generalization Method Constrained by Residential Areas.

A Method of Planning Disaster Emergency Rescue Paths in Road-Free Environment.

Drug resistance prediction and resistance genes identification in <i>Mycobacterium tuberculosis</i> based on a hierarchical attentive neural network utilizing genome-wide variants.

GA-Net: A geometry prior assisted neural network for road extraction.

A Robust Design Method for Optimal Engine Operating Zone Design of Plug-in Hybrid Electric Bus.

Adaptive robust learning framework for twin support vector machine classification.

A non-destructive and highly efficient model for detecting the genuineness of maize variety 'JINGKE 968′ using machine vision combined with deep learning.

Twin minimax probability extreme learning machine for pattern recognition.

Capped L1-norm distance metric-based fast robust twin bounded support vector machine.

Metaheuristics for solving the vehicle routing problem with the time windows and energy consumption in cold chain logistics.

Research on the size of mechanical parts based on image recognition.

Multi-person pose estimation based on a deep convolutional neural network.

A Landslide Susceptibility Assessment Method Based on GIS Technology and an AHP-Weighted Information Content Method: A Case Study of Southern Anhui, China.

A minimax probability extreme machine framework and its application in pattern recognition.

Robust <i>H</i>_∞ filtering for polytopic uncertain stochastic systems under quantized sampled outputs.

A Reliable Methodology for Determining Seed Viability by Using Hyperspectral Data from Two Sides of Wheat Seeds.

State feedback control for stochastic Markovian jump delay systems based on LaSalle-type theorem.

Development of Electrohydraulic Steering Control System for Tractor Automatic Navigation.

Normalisation design for delayed singular Markovian jump systems based on system transformation technique.

Adaptive Fuzzy Control of Strict-Feedback Nonlinear Time-Delay Systems with Full-State Constraints.

Development of an Integrated Cooling System Controller for Hybrid Electric Vehicles.

Nonfragile Finite-Time Extended Dissipative Control for a Class of Uncertain Switched Neutral Systems.

Visual Control System of a Spraying Robot for <i>Hyphantria cunea</i> Larva Nets.

Design and Analysis of a Low Cost Wave Generator Based on Direct Digital Synthesis.

Design of a Sapling Branch Grafting Robot.

Cam Drive Step Mechanism of a Quadruped Robot.

A convex relaxation framework for a class of semi-supervised learning methods and its application in pattern recognition.