Results 161 to 170 of about 112,252 (298)
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Fuzzy C-Means Clustering Algorithm-Based Magnetic Resonance Imaging Image Segmentation for Analyzing the Effect of Edaravone on the Vascular Endothelial Function in Patients with Acute Cerebral Infarction. [PDF]
Yin J, Chang H, Wang D, Li H, Yin A.
europepmc +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
This study reports a new hole‐transporting material (WD03) designed via molecular engineering to regulate defect passivation and energy‐level alignment in perovskite solar cells (PSCs). The propeller‐shaped structure ensures balanced charge transport and film quality. Consequently, WD03‐based devices deliver a high open‐circuit voltage of 1.194 V under
Guang Shao +17 more
wiley +2 more sources
Fuzzy C-Means clustering and LSTM-based magnitude prediction of earthquakes in the Aegean region of Türkiye. [PDF]
Aloraini B +3 more
europepmc +1 more source
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley +1 more source
A Bridge Crack Segmentation Algorithm Based on Fuzzy C-Means Clustering and Feature Fusion. [PDF]
Yao Y, Zhang Y, Liu Z, Yuan H.
europepmc +1 more source
Elastic Fast Marching Learning from Demonstration
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados +3 more
wiley +1 more source
Point-of-interest recommender model using geo-tagged photos in accordance with imperialist Fuzzy C-means clustering. [PDF]
Salehi Solaiman Abadi AA +2 more
europepmc +1 more source

