Results 71 to 80 of about 2,041,836 (260)

Multiscale Structuring of Hydroxyapatite via Two‐Photon Lithography of Nanocomposites

Advanced Functional Materials, EarlyView.
Hydroxyapatite scaffolds are of great interest in bone tissue engineering applications, ranging from 3D cell culture to regenerative medicine. Using two‐photon lithography of a transparent nanocomposite, hydroxyapatite microstructures with features ranging from submicron to centimeter‐scale are fabricated. This allows to mimic the natural bone geometry,
Leonhard Hambitzer, Jan Mathis Hornbostel, Richard Prediger, Sebastian Kluck, Michael Daub, Cornelia Lee‐Thedieck, Frederik Kotz‐Helmer   +6 more
wiley   +1 more source

Combining Magnetostriction with Variable Reluctance for Energy Harvesting at Low Frequency Vibrations

Applied Sciences
In this paper, we explore the benefits of using a magnetostrictive component in a variable reluctance energy harvester. The intrinsic magnetic field bias and the possibility to utilize magnetic force to achieve pre-stress leads to a synergetic ...
Johan Bjurström, Cristina Rusu, Christer Johansson   +2 more
doaj   +1 more source

Joint Control of Radiated and Surface Waves via Space‐Time Coding Metasurfaces

Advanced Functional Materials, EarlyView.
A unified space‐time coding metasurface platform enables simultaneous control of radiated and surface‐confined waves across multiple harmonics. Demonstrated functionalities include multi‐frequency beam shaping; surface‐wave excitation, and hybrid multiplexing.
Zihao Dai, Yi Ning Zheng, Lei Zhang, Xiao Qing Chen, Giuseppe Castaldi, Tie Jun Cui, Vincenzo Galdi   +6 more
wiley   +1 more source

Linking Physical Fidelity to Downstream Performance in Physics-Informed Fault Diagnosis

IEEE Access
A critical question in Scientific Machine Learning is whether improving a Physics-Informed Neural Network’s (PINN) physical fidelity translates into downstream task performance.
Enzo Nicolas Spotorno, Josafat R. Leal Filho, Antonio Augusto Frohlich   +2 more
doaj   +1 more source

Updating Model of Software Component Trustworthiness Based on Users Feedback

IEEE Access, 2019
The software trustworthiness measurement is one of the hot topics. Software component technology is the mainstream technology of software development.
Baohua Wang, Yixiang Chen, Shun Zhang, Hengyang Wu   +3 more
doaj   +1 more source

Decoding: Codes and hardware implementation [PDF]

, 1983
The MST radars vary considerably from one installation to the next in the type of hardware, operating schedule and associated personnel. Most such systems do not have the computing power to decode in software when the decoding must be performed for each ...
Sulzer, M. P., Woodman, R. F.
core   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Edge-Boosted U-Net for 2D Medical Image Segmentation

IEEE Access, 2019
Automatic medical image segmentation has always been a heated study in computer-assisted diagnosis (CAD). It is a quite challenging task due to the diversity and complexity of medical images.
Renjie Zhao, Weiting Chen, Guitao Cao
doaj   +1 more source

LMDAPNet: A Novel Manifold-Based Deep Learning Network

IEEE Access, 2020
In this paper, we propose a novel deep learning network, called Local Manifold Discriminant Analysis Projection Network (LMDAPNet). Different from most existing face recognition based on Deep Neural Networks (DNNs) methods that learn complex feature ...
Yan Li, Guitao Cao, Wenming Cao
doaj   +1 more source