Results 101 to 110 of about 1,758,706 (251)

The Sparsity Adaptive Reconstruction Algorithm Based on Simulated Annealing for Compressed Sensing

Journal of Electrical and Computer Engineering, 2019
This paper proposes a novel sparsity adaptive simulated annealing algorithm to solve the issue of sparse recovery. This algorithm combines the advantage of the sparsity adaptive matching pursuit (SAMP) algorithm and the simulated annealing method in ...
Yangyang Li, Jianping Zhang, Guiling Sun, Dongxue Lu   +3 more
doaj   +1 more source

Differential Sedimentation and Cryo‐TEM Mapping Resolve Structural Heterogeneity in Conjugated Polymer Nanowires for Programmable Stretchable Electronics

Advanced Materials, EarlyView.
Density‐driven differential sedimentation fractionates solution‐assembled P3HT nanowires into crystalline and disordered constituents. High‐resolution cryo‐TEM directly visualizes the molecular chain packing within individual nanowires in real space, and recombining the fractions programs the mobility–stretchability trade‐off without chemical ...
Junyeon Yoon, Jun Ho Hwang, Eunji Lee
wiley   +1 more source

Improved Variational Bayes for Space-Time Adaptive Processing

Entropy
To tackle the challenge of enhancing moving target detection performance in environments characterized by small sample sizes and non-uniformity, methods rooted in sparse signal reconstruction have been incorporated into Space-Time Adaptive Processing ...
Kun Li, Jinyang Luo, Peng Li, Guisheng Liao, Zhixiang Huang, Lixia Yang   +5 more
doaj   +1 more source

Tamper‐Responsive Physical Unclonable Functions via Graphene‐Interlayered Block Copolymer Random Structures

Advanced Materials, EarlyView.
Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo, Dae Hui Park, Jeong‐Ho Jang, Woo Seok Tack, Jin Man Kim, Hak Ki Yu, Hyeong Min Jin, Jang Hwan Kim   +7 more
wiley   +1 more source

The Noise Collector for sparse recovery in high dimensions. [PDF]

Proc Natl Acad Sci U S A, 2020
Moscoso M, Novikov A, Papanicolaou G, Tsogka C.   +3 more
europepmc   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Clutter Suppression Technology Based Space-time Adaptive ANM-ADMM-Net for Bistatic SAR

Leida xuebao
Bistatic Synthetic Aperture Radar (BiSAR) needs to suppress ground background clutter when detecting and imaging ground moving targets. However, due to the spatial configuration of BiSAR, the clutter poses a serious space-time nonstationary problem ...
Zhongyu LI, Haozhuo PI, Jun’ao LI, Qing YANG, Junjie WU, Jianyu YANG   +5 more
doaj   +1 more source

Recovery of High-Dimensional Sparse Signals via -Minimization

Journal of Applied Mathematics, 2013
We consider the recovery of high-dimensional sparse signals via -minimization under mutual incoherence condition, which is shown to be sufficient for sparse signals recovery in the noiseless and noise cases.
Shiqing Wang, Limin Su
doaj   +1 more source

Low-Rank and Sparse Recovery of Human Gait Data. [PDF]

Sensors (Basel), 2020
Kamali K, Akbari AA, Desrosiers C, Akbarzadeh A, Otis MJ, Ayena JC.   +5 more
europepmc   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source