Results 101 to 110 of about 338,614 (301)

Systematic Benchmarking of a Noise‐Tolerant Conductive Hydrogel Electrode for Epidermal Bioelectronics

Advanced Science, EarlyView.
General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen, Ioannis Ziogas, Shirina Alsaedi, Mouza Alshehhi, Shahd Almheiri, Adil Rehman, Khulood Al Shehhi, Hani Saleh, Ahsan Khandoker, Charalampos Pitsalidis, Antoun Khawaja, Anna‐Maria Pappa   +11 more
wiley   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

Advanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu, Penglei Wang, Gaoyuan Xu, Jitao Lu, Qinke Peng, Danyang Wu, Hequan Sun   +6 more
wiley   +1 more source

Hybrid particle swarm optimization and semi-supervised extreme learning machine for cellular network localization

International Journal of Distributed Sensor Networks, 2017
The research of localization technology based on received signal strength and machine learning has recently attracted a lot of attentions, since with the help of enough labeled training data this technology is able to achieve high positioning accuracy ...
Fagui Liu, Hengrui Qin, Xin Yang, Yi Yu
doaj   +1 more source

Study of the abnormal vibration detection method for in-service structure using semi-supervised Learning by autoencoder

, 2023
Tatsuya FUJIMOTO, Atsushi Iwasaki, Takatoshi YAMAGISHI, Kazuhisa NAKANO, Hiroyuki Nakamura, Satoshi OIKAWA, Kouji YAMAMOTO   +6 more
openalex   +2 more sources

Reinforcement Learning Guided Semi-Supervised Learning

Advances in Neural Information Processing Systems 37
In recent years, semi-supervised learning (SSL) has gained significant attention due to its ability to leverage both labeled and unlabeled data to improve model performance, especially when labeled data is scarce. However, most current SSL methods rely on heuristics or predefined rules for generating pseudo-labels and leveraging unlabeled data.
Heidari, Marzi, Zhang, Hanping, Guo, Yuhong   +2 more
openaire   +2 more sources

Data‐Driven Feedback Identifies Focused Ultrasound Exposure Regimens for Improved Nanotheranostic Targeting of the Brain

Advanced Science, EarlyView.
Machine learning models predict in real time the onset of harmful microbubble collapse during microbubble‐enhanced focused ultrasound (MB‐FUS) and enable dynamic adjustment of sonication to prevent cavitation‐induced damage. This predictive control expands the safe operating window for bloodbrain barrier opening, enhancing nanoparticle delivery and ...
Hohyun Lee, Victor Menezes, Shiqin Zeng, Chulyong Kim, Cynthia M. Baseman, Jae Hyun Kim, Samhita Padmanabhan, Pranav Premdas, Naima Djeddar, Anton Bryksin, Nikhil Pandey, Pavlos Anastasiadis, Anthony J. Kim, Tobey J. MacDonald, Chetan Bettegowda, Graeme F. Woodworth, Felix J. Herrmann, Costas Arvanitis   +17 more
wiley   +1 more source

A multi-factor integration-based semi-supervised learning for address resolution protocol attack detection in SDIIoT

, 2021
Zhong Li, Huimin Zhuang
openalex   +1 more source

Scalable Prompt Generation for Semi-supervised Learning with Language Models [PDF]

, 2023
Yuhang Zhou, Suraj Maharjan, Beiye Liu
openalex   +1 more source

Biomimetic Membrane Interface Technologies for Detection and Isolation of CTCs and EVs: Advances and Opportunities in Liquid Biopsy

Advanced Science, EarlyView.
Biomimetic membrane interface engineering constructs functionalized detection platforms by integrating natural cell membranes, synthetic lipids, or hybrid membranes. This strategy effectively reduces background interference and enables efficient target capture and analysis, showing broad applications in circulating tumor cell separation, extracellular ...
Duo Liu, Jie Yu, Jingxue Li, Yixue Chen, Mengle Peng, Yifan Xu, Yongjun Wu, Lihua Ding, Sitian He   +8 more
wiley   +1 more source

Achieving Chemical Accuracy in Cyclodextrin Host–Guest Binding via Integrative Atomistic Modelling

Advanced Science, EarlyView.
A generalizable computational framework is presented that overcomes long‐standing challenges in modelling cyclodextrin host‐guest binding by integrating host‐specific force‐field refinement, equilibrium enhanced sampling, nonequilibrium alchemical switching, convolution sampling of independent works, rigorous finite‐size corrections, and QM‐based ...
Xiaohui Wang, Linqiong Qiu, Hongyu Wang, Wenting Tang, Jiayang Leng, John Z. H. Zhang, Piero Procacci, Zhaoxi Sun   +7 more
wiley   +1 more source