Results 81 to 90 of about 4,803 (262)

Advanced Manufacturing of Composite‐Based Systems for Energy Applications

Advanced Materials Technologies, EarlyView.
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli, Dhanush Patil, Libin Yang, M. Taylor Sobczak, Anshul Kulkarni, Xiao Sun, Arunachalam Ramanathan, Tiantian Li, Ramaraja P. Ramasamy, Jason J. Locklin, Yanyu Chen, Xianqiao Wang, Arunachala Mada Kannan, Kenan Song   +13 more
wiley   +1 more source

CS-VLM: Compressed Sensing Attention for Efficient Vision-Language Representation Learning

CoRR
Vision-Language Models (vLLMs) have emerged as powerful architectures for joint reasoning over visual and textual inputs, enabling breakthroughs in image captioning, cross modal retrieval, and multimodal dialogue. However, as these models scale to longer video sequences and richer language descriptions, the quadratic complexity of the standard ...
Andrew Kiruluta, Preethi Raju, Priscilla Burity   +2 more
openaire   +2 more sources

Multifunctional Adhesive Hydrogel for Rapid Cardiac Hemostasis and Antibacterial Protection

Advanced Materials Technologies, EarlyView.
A multifunctional polyacrylamide/gelatin/tannic acid hydrogel (PGT) is presented for rapid cardiac hemostasis under wet, dynamic conditions. Surface tannic acid coating enables instantaneous wet adhesion, accelerates coagulation, and confers antibacterial activity within a single platform.
Seoha Kim, Kaeun Chae, Inseon Kim, Kye Il Joo, Chang Sup Kim, Seunghun S. Lee   +5 more
wiley   +1 more source

UCST‐Driven Shape Morphing in Digital Light Processing 4D‐Printed Hydrogels

Advanced Materials Technologies, EarlyView.
A DLP‐printable UCST hydrogel based on poly(acrylic acid‐co‐acrylamide) enables reversible thermally induced expansion and 4D shape morphing. Rational control of composition, porosity, and multimaterial architecture enables predictable 4D shape morphing through differential swelling and localized actuation, opening new opportunities for high‐resolution
Fato Niang, Vincent Lapinte, Sebastien Blanquer   +2 more
wiley   +1 more source

Reconstruction of 3D knee MRI using deep learning and compressed sensing: a validation study on healthy volunteers

European Radiology Experimental
Background To investigate the potential of combining compressed sensing (CS) and artificial intelligence (AI), in particular deep learning (DL), for accelerating three-dimensional (3D) magnetic resonance imaging (MRI) sequences of the knee.
Thomas Dratsch, Charlotte Zäske, Florian Siedek, Philip Rauen, Nils Große Hokamp, Kristina Sonnabend, David Maintz, Grischa Bratke, Andra Iuga   +8 more
doaj   +1 more source

Fast Frequency-Domain Compressed Sensing Analysis for High-Density Super-Resolution Imaging Using Orthogonal Matching Pursuit

IEEE Photonics Journal, 2019
Single-molecule localization methods play a vital role in a localization-based super-resolution fluorescence microscopy. However, it is difficult for conventional localization schemes based on the Gaussian fitting to locate overlapped high-density ...
Saiwen Zhang, Jingjing Wu, Danni Chen, Siwei Li, Bin Yu, Junle Qu   +5 more
doaj   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

NL-CS Net: Deep Learning with Non-local Prior for Image Compressive Sensing

Circuits, Systems, and Signal Processing
Deep learning has been applied to compressive sensing (CS) of images successfully in recent years. However, existing network-based methods are often trained as the black box, in which the lack of prior knowledge is often the bottleneck for further performance improvement.
Shuai Bian, Shouliang Qi, Chen Li 0022, Yudong Yao, Yueyang Teng   +4 more
openaire   +2 more sources

An Improved Reweighted Method for Optimizing the Sensing Matrix of Compressed Sensing

IEEE Access
In compressed sensing (CS), coherence is a simple and practical measure of the quality of a sensing matrix. The smaller the coherence of the sensing matrix, the better the reconstruction result.
Lei Shi, Gangrong Qu
doaj   +1 more source