Results 241 to 250 of about 1,980,897 (317)

Physics‐Guided Multi‐Channel Restoration for Efficient and Accurate Atomic Force Microscopy Imaging

Advanced Science, EarlyView.
Schematic figure of restoring noisy atomic force micrscopy (AFM) image via physics‐guided multi‐channel restoration. The lighter neural network models with multiple‐channel input from auxiliary signals outperforms heavier model with single‐channel input.
Jaeuk Sung, Hongseok Kim, Seungjae Heo, Jin Tae Moon, Jangwoo Ko, Panithan Sriboriboon, Dong‐Gyu Lee, Sanghyun Jo, Hee Han, Jungho Ryu, Woo Lee, Jinseong Heo, Hyun‐Cheol Song, Yunseok Kim   +13 more
wiley   +1 more source

Spatiotemporal Computational Meta‐Imager for Broadband Dual‐Layer Optical Convolution

Advanced Science, EarlyView.
A single‐layer polarization‐multiplexed meta‐imager achieves factorized dual‐layer broadband convolution via spatiotemporal kernel decomposition. Fixed Bessel‐vortex bases and time‐sequential liquid‐crystal modulation deliver tunable signed weights and in‐situ fabrication‐error compensation. Experiments verify improved classification performance across
Mengguang Wang, Chenglong Zheng, Huaping Zang, Changwei Zhang, Huai Xia, Chang Wang, Zhenrong Zheng   +6 more
wiley   +1 more source

AI-based strategies for diagnosis and therapeutic discovery in pulmonary fibrosis. [PDF]

Chin Herb Med
Lin Y, Liu Q, Lei X, Cao H, Feng P, Wang Y, Sun D, Xin G, Zhang S, Chen W.   +9 more
europepmc   +1 more source

From Artificial to Embodied and Physical Intelligence in Smart Manufacturing

Advanced Science, EarlyView.
Smart manufacturing is reframed through complementary artificial, embodied, and physical intelligence, spanning computational reasoning, perception‐action coupling, and material‐level adaptation. Their integration across design, fabrication, operation, and maintenance reveals how intelligence can be co‐designed across algorithms, embodied agents, and ...
Kang Wang, Xinyu Lu, Tong Liu, Jinjie Fang, Xin Li, Siqian Wu, Liuchao Jin, Wei‐Hsin Liao, Shuyou Zhang, Jianrong Tan   +9 more
wiley   +1 more source

Enhancing brain tumor segmentation using attention based convolutional UNet on MRI images. [PDF]

Sci Rep
Abrar M, Salam A, Ullah F, Ullah F, Al Ghamdi AS.   +4 more
europepmc   +1 more source

Multifunctional Vertical Bulk‐Heterojunction Transistors With Amorphous GaOx for Neuromorphic Perception‐to‐Decision

Advanced Science, EarlyView.
A multifunctional vertical bulk‐heterojunction transistor (MVBT) with amorphous GaOx integrates four functionalities within a single neuromorphic device. Gate‐source operation enables 254 nm deep‐ultraviolet sensing and threshold neuronal firing, whereas three‐terminal operation supports broadband UV–vis‐NIR synaptic functions and bias‐controlled ...
Jinkui Si, Qiong Zhuang, Rengjian Yu, Junling Zhou, Lan Yang, Changjie Zhou, Huili Zhu, Minshuai Wang, Xiaomei Cai, Qiubao Lin, Wangying Xu, Shuqiong Lan, Huipeng Chen   +12 more
wiley   +1 more source

Comparison of deep learning models for real-time neural tissue segmentation in spinal endoscopy. [PDF]

BMC Med Imaging
Rhee W, Lee HR, Chang BS, Chang SY, Kim H.   +4 more
europepmc   +1 more source

SpaCut: Transcript‐Aware Morphology Fusion for Robust Cell Segmentation in Subcellular Spatial Transcriptomics

Advanced Science, EarlyView.
Subcellular spatial transcriptomics enables high‐resolution mapping of gene expression within tissues, but accurate cell segmentation is essential for assigning transcripts to individual cells. We present SpaCut, a deep learning framework that integrates transcriptomic features with nucleus‐guided morphological information to precisely delineate cell ...
Yongheng Li, Fangfang Zhu, Wenwen Min
wiley   +1 more source

Microwave breast imaging: A review of clinical potential and technological advances. [PDF]

World J Methodol
Akesson I, Kovac R, Son H, Teixeira de Castro Gonçalves Ortega AC, Fedorov D, Perera Molligoda Arachchige AS.   +5 more
europepmc   +1 more source

XChrom: A Cross‐Cell Chromatin Accessibility Prediction Model Integrating Genomic Sequence and Cellular Context

Advanced Science, EarlyView.
XChrom is a deep learning framework that integrates genomic sequence and single‐cell context to predict chromatin accessibility. It generalizes to unseen cells and genomic regions, enabling cross‐sample and cross‐species analysis. Applied to COVID‐19 patient data, XChrom reveals key transcriptional regulatory mechanisms and disease‐associated ...
Yuanyuan Miao, Xuan Liang, Wenwen Zhang, Dongmei Han, Yurun Li, Zhen Wang   +5 more
wiley   +1 more source