Results 61 to 70 of about 30,327 (212)

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Review: Insight on Porous Carbon Positive Electrode for Sodium‐Ion Capacitors: Interplay Between Synthesis, Properties, and Performance

Advanced Science, EarlyView.
Sodium ion capacitor (SIC) is currently constrained by the low discharge capacity of commercial activated carbon as positive electrode material. This review provides a holistic summary of research efforts on alternative porous carbon materials for SIC. Image created by the authors with www.biorender.com.
Ademola Adeniji, Adrian Beda, Camélia Matei Ghimbeu   +2 more
wiley   +1 more source

A full-scale innovative GFRP-concrete hybrid footbridge : description and testing [PDF]

, 2014
The present paper describes the construction process of a full-scale innovative GFRP-concrete hybrid footbridge, and summarizes the main tests performed.
Barros, Joaquim A. O., Branco, Fernando A., Correia, João R., Gonilha, José, Gonçalves, Delfina, Ramos, Luís F., Sena-Cruz, José   +6 more
core  

Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling

Advanced Science, EarlyView.
Phase separation is emerging as a multiscale organizing principle of genome folding across scales, from nucleosomes and transcriptional condensates to chromatin domains and nuclear compartments. By integrating physics‐based simulations with data‐driven inference, computational modeling now links molecular interactions to nuclear architecture and points
Jiahu Tang, Cibo Feng, Haibin Su, Xiakun Chu   +3 more
wiley   +1 more source

Behavior of concrete beams reinforced with hybrid steel and FRP composites

HBRC Journal, 2018
This paper presents a nonlinear finite element model to investigate the behavior of hybrid Fiber Reinforced Polymers and steel reinforcement. Different types of Fiber Reinforced Polymers; CFRP and GFRP; were used along with steel rebars in the studied ...
Suzan A.A. Mustafa, Hilal A. Hassan
doaj   +1 more source

Sustainability based-approach to determine the concrete type and reinforcement configuration of TBM tunnels linings. Case study: Extension line to Barcelona Airport T1 [PDF]

, 2016
Fibre-reinforced concrete (FRC) is a suitable alternative to the traditional reinforced concrete used in the manufacture of precast segments used to line tunnels excavated with a tunnel boring machine (TBM). Moreover, its use as a structural material has
Aguado de Cea, Antonio, Armengou, Jaume, Blanco Álvarez, Ana, Fuente Antequera, Albert de la   +3 more
core   +3 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Research progress on short-term mechanical properties of FRP bars and FRP-reinforced concrete beams

Journal of Traffic and Transportation Engineering (English ed. Online)
Fiber-reinforced polymer (FRP) bars have been increasingly recognized in the field of civil engineering due to their advantages of light weight, high strength and excellent durability.
Lili Xing, Shengjiang Sun, Kuihua Mei, Yiping Guo, Zhenhong Yang   +4 more
doaj   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source