Results 141 to 150 of about 242,529 (275)

Rewriting Polymer Fate via Chemomechanical Coupling

Advanced Materials, EarlyView.
This work introduces a life‐like “living” polymer platform that can grow, degrow, and reprogram its properties after fabrication. By integrating mass transport, reversible polymerization, and controlled catalysis, the material achieves on‐demand changes in size, shape, and mechanical properties.
Jiahe Huang, Haohui Zhang, Jiehao Chen, Xuelin Sui, Febby Krisnadi, Dongjing He, Huajian Ji, Will R. Gutekunst, Michael D. Dickey, Yuhang Hu   +9 more
wiley   +1 more source

Supervised learning of the Jaynes-Cummings Hamiltonian. [PDF]

Sci Rep
Choi W, Lee CW, Noh C.
europepmc   +1 more source

Same-day antimicrobial susceptibility test using acoustic-enhanced flow cytometry visualized with supervised machine learning

, 2019
Timothy J. J. Inglis, Teagan Paton, Malgorzata K. Kopczyk, Kieran T. Mulroney, Christine Carson   +4 more
openalex   +1 more source

Self-supervised Learning for Single View Depth and Surface Normal Estimation [PDF]

, 2019
Huangying Zhan, Chamara Saroj Weerasekera, Ravi Garg, Ian Reid   +3 more
openalex   +1 more source

Materials and System Design for Self‐Decision Bioelectronic Systems

Advanced Materials, EarlyView.
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng, Hong Liu, Yongheng Zhang, Youbin Zheng, Xuyin Ding, Mengni Zhu, Guoyue Shi, Yan Wang, Hossam Haick, Min Zhang   +9 more
wiley   +1 more source

Towards Multi-Brain Decoding in Autism: A Self-Supervised Learning Approach. [PDF]

Neuroinformatics
Ranjabaran G, Moreau Q, Dubois A, Dumas G.   +3 more
europepmc   +1 more source

Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation, comparing patients receiving sodium‐glucose co‐transporter‐2 inhibitors with those receiving dipeptidyl peptidase‐4 inhibitors, using a supervised machine‐learning algorithm (PROFILE study): A retrospective analysis of a Japanese commercial medical database

, 2019
Fang Liz Zhou, Hirotaka Watada, Yuki Tajima, Mathilde Berthelot, Dian Kang, C. Esnault, Yujin Shuto, Hiroshi Maegawa, Daisuke Koya   +8 more
openalex   +1 more source

Performance Analysis of Supervised Machine Learning Algorithms on Medical Dataset

, 2020
Amit Juyal, Chetan Pandey, Janmejay Pant, Ankur Dumka, Vikas Tomer   +4 more
openalex   +1 more source

Towards Precise and Robust Hippocampus Segmentation using Self-Supervised Contrastive Learning

, 2022
Kassymzhomart Kunanbayev, Donggon Jang, Jeong‐Won Lee, Dae‐Shik Kim   +3 more
openalex   +1 more source

Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications

Advanced Materials, EarlyView.
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu, Yu‐Tao Li, Luyu Zhao, Yi Zhang, Zhaojie Zhang, Jian Yuan, Yiwen Wu, Anqi Che, Yuanxiao Ma, Yang Chai, Yeliang Wang   +10 more
wiley   +1 more source