Results 101 to 110 of about 6,185,560 (237)

Review of Gastrointestinal Capsule Robots: Materials, Actuation, Diagnostics, and Therapeutics

Advanced Science, EarlyView.
This review examines gastrointestinal capsule robots through a systems engineering lens, covering shell materials, actuation and localization strategies, diagnostic modalities, therapeutic interventions, and commercialization status. By mapping the complete technological chain from fabrication to clinical deployment, this work identifies critical gaps ...
Zengsheng Li, Zhongguo Ren, Yiliang Lin, Xianfeng Xia, Tianlong Li, Kai Fung Chan, Philip Wai Yan Chiu, Wei Peng Yong, Mengmeng Sun   +8 more
wiley   +1 more source

Unlocking Low‐Melting‐Point and High‐Conductivity Molten Salts via High‐Entropy Strategy with Demonstration in Thermal Batteries

Advanced Science, EarlyView.
A high‐entropy strategy is developed to break the trade‐off between low melting point and high ionic conductivity in molten salt electrolytes. By incorporating CsBr and LiF into the LiCl‐LiBr‐KBr system, the quinary LiF‐LiCl‐LiBr‐KBr‐CsBr electrolyte achieves a record‐low melting point of 229.5°C while maintaining a high conductivity of 1.19 S cm−1 at ...
Binchao Shi, Ting Sun, Fushan Yu, Yi Zhang, Gaowu Wang, Ting Quan, Yan‐li Zhu   +6 more
wiley   +1 more source

AI based data-driven point cloud optimization strategy in cloud computing framework for improving rendering performance of virtual city scenes

Discover Computing
With the development of cloud computing framework, the visualization of city scenes is shifting to the 3D domain. However, the increase of scene complexity makes efficient rendering of virtual city scene an important challenge.
Cao Zhongda
doaj   +1 more source

Deep Learning-Based Event Data Coding: A Joint Spatiotemporal and Polarity Solution

IEEE Open Journal of Signal Processing
Neuromorphic vision sensors, commonly referred to as event cameras, generate a massive number of pixel-level events, composed by spatiotemporal and polarity information, thus demanding highly efficient coding solutions.
Abdelrahman Seleem, Andre F. R. Guarda, Nuno M. M. Rodrigues, Fernando Pereira   +3 more
doaj   +1 more source

Multi‐Scale Bionic Structure Constructs Biomass Flame‐Retardant Thermal Insulation Foam Material

Advanced Science, EarlyView.
Inspired by mussel adhesion and hierarchical brick‐and‐mortar architectures, a cellulose‐based biomimetic foam is constructed by anchoring bentonite nanosheets onto a polydopamine‐decorated cellulose nanofiber network. The resulting foam combines low thermal conductivity with intrinsic flame retardancy and full biodegradability, presenting a ...
Jianming Liao, Lijun Fan, Yunyuan Dong, Xuyu Bao, Xiaobin Chen, Qifu Zheng, Guanqing Zhang, Shen Wang, Wei Chen, Min Zhang, Shuaiming He   +10 more
wiley   +1 more source

ARNet: Attribute artifact reduction for G-PCC compressed point clouds

Computational Visual Media
A learning-based adaptive loop filter is developed for the geometry-based point-cloud compression (G-PCC) standard to reduce attribute compression artifacts.
Junzhe Zhang, Junteng Zhang, Dandan Ding, Zhan Ma   +3 more
doaj   +1 more source

Wavelet Based Approach to 3D Geometry Point Cloud Compression

, 2023
Proposed is a method of 3D point cloud geometry compression. Point clouds find applications in autonomous driving, education, and other fields. The approach proposed here hopes to improve on existing quantization techniques by segmenting each coordinate ...
Lesser, Max Michael Jakob
core  

Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets Through Dynamic Dense Scattering Media

Advanced Science, EarlyView.
Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Ning Zhang, Arto Nurmikko
wiley   +1 more source

Autoencoder Architectures for Low-Rate Sparse Point Cloud Geometry Coding

IEEE Access
Efficient compression of sparse point cloud geometry remains a critical challenge in 3D content processing, particularly for low-rate scenarios where conventional codecs struggle to maintain efficiency. This work proposes a system-level framework for low-
Ivaylo Bozhilov, Radostina Petkova, Krasimir Tonchev, Agata Manolova, Vladimir Poulkov, H. Vincent Poor   +5 more
doaj   +1 more source

Translational Barriers and AI‐Driven Challenges of Microfluidics‐Enabled Wearables and Implantable Systems in Personalized Medicine

Advanced Science, EarlyView.
An integrative review of microfluidics‐enabled wearables and implantable systems reveals a single‐track translation pipeline, bridging functional biomaterials with clinical utility. Dynamic feedback loops driven by artificial intelligence advance diagnostics toward personalized closed‐loop theranostics.
Ke Huang, Ching Yin Fong, Xin Huang, Bee Luan Khoo   +3 more
wiley   +1 more source