Results 231 to 240 of about 107,458 (327)
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
EIDU-Net: edge-preserved inception DenseGCN U-Net for LiDAR point cloud segmentation. [PDF]
Xu X +7 more
europepmc +1 more source
InfraDiffusion: zero-shot depth map restoration with diffusion models and prompted segmentation from sparse infrastructure point clouds [PDF]
Yixiong Jing +5 more
openalex +1 more source
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source
A point cloud segmentation framework for image-based spatial transcriptomics. [PDF]
Defard T +11 more
europepmc +1 more source
Intelligent Operator‐Independent Flexibility in Robotic Non‐Destructive Evaluation
Non‐destructive evaluation of high‐value components remains a manufacturing bottleneck due to rigid robotic calibration and fixturing. This study presents a flexible, adaptable system integrating 3D vision and force‐position control with a collaborative KUKA LBR robot. The geometry‐agnostic system enables pose‐independent ultrasonic inspection, detects
Amine Hifi +11 more
wiley +1 more source
The Improvement of Density Peaks Clustering Algorithm and Its Application to Point Cloud Segmentation of LiDAR. [PDF]
Wang Z +5 more
europepmc +1 more source
A Spatial-Temporal Network for Semantic Segmentation on 4d Lidar Point Clouds
Xindong Guo +3 more
openalex +1 more source
Hallgrimson et al. introduce a machine learning algorithm, siMILe, that takes features of single‐molecule localization microscopy localization clusters (e.g., size and sphericity) and finds the clusters that are associated with certain cell conditions (such as differential protein expression or drug treatment).
Christian Hallgrimson +8 more
wiley +1 more source

