Results 281 to 290 of about 11,928,939 (371)

Active learning via transductive experimental design [PDF]

, 2006
Kai Yu, Jinbo Bi, Volker Tresp
openalex   +1 more source

Predicting Aggregation Behavior of Nanoparticles in Liquid Crystals via Automated Data‐Driven Workflows

Advanced Functional Materials, EarlyView.
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao, Niamh Mac Fhionnlaoich, Max Besenhard, Arun Pankajakshan, Federico Galvanin, Stefan Guldin   +5 more
wiley   +1 more source

A Semi-Supervised Object Detector Based on Adaptive Weighted Active Learning and Orthogonal Data Augmentation. [PDF]

Sensors (Basel)
Wang M, Xu X, Liu H.
europepmc   +1 more source

Application of Brain Emotional Learning Based Intelligent Controller (BELBIC) to Active Queue Management

, 2004
Mahdi Jalili-Kharaajoo
openalex   +1 more source

High‐Performance Millimeter Scale Electromagnetic Generator

Advanced Functional Materials, EarlyView.
A high‐performance millimeter‐scale electromagnetic generator (mmEMG) is developed using magnetic flux concentrator (MFC) films on both coil ends to enhance magnetic flux. Through simulations and experiments, structural and magnetic properties are optimized, achieving a 5.6‐fold electrical output improvement.
Jin Pyo Lee, Xinran Zhou, Yangyang Xin, Dace Gao, Peiwen Huang, Pooi See Lee   +5 more
wiley   +1 more source

Molecular property prediction using pretrained-BERT and Bayesian active learning: a data-efficient approach to drug design. [PDF]

J Cheminform
Masood MA, Kaski S, Cui T.
europepmc   +1 more source

Transmembrane Activation of Catalysis and Protein Refolding in Synthetic Cells by Enzymes and Nanozymes

Advanced Functional Materials, EarlyView.
Synthetic cells are engineered herein to respond to an external chemical messenger by the activation of intracellular catalysis. The chemical messenger molecules are catalytically generated by an extracellular enzyme or a mineral surface, whereas the intracellular catalysis emerges via direct enzyme activation or via protein refolding.
Dante G. Andersen, Andreas B. Pedersen, Mireia Casanovas Montasell, Søren Moesgaard, Anja Bille Bohn, Alexander N. Zelikin   +5 more
wiley   +1 more source

From flat to stepped: active learning frameworks for investigating local structure at copper-water interfaces.

Phys Chem Chem Phys
Schörghuber J, Bučková N, Heid E, Madsen GKH.   +3 more
europepmc   +1 more source

Human-in-the-loop active learning for goal-oriented molecule generation. [PDF]

J Cheminform
Nahal Y, Menke J, Martinelli J, Heinonen M, Kabeshov M, Janet JP, Nittinger E, Engkvist O, Kaski S.   +8 more
europepmc   +1 more source

Laser‐Induced Graphene‐Assisted Patterning and Transfer of Silver Nanowires for Ultra‐Conformal Breathable Epidermal Electrodes in Long‐Term Electrophysiological Monitoring

Advanced Functional Materials, EarlyView.
This study presents a novel method using laser‐induced graphene (LIG) to enable high‐yield transfer of silver nanowire (AgNW) networks onto ultra‐low modulus, breathable silicone substrates. This approach creates ultra‐conformal epidermal electrodes (≈50 µm) for long‐term, high‐fidelity electrophysiological monitoring, even in challenging conditions ...
Jiuqiang Li, Senhao Zhang, Jun Zhong, Benkun Bao, Kai Guo, Yingying Zhang, Kerong Yang, Yao Tong, Donghai Qiu, Hongbo Yang, Huanyu Cheng   +10 more
wiley   +1 more source