Results 81 to 90 of about 599,706 (282)
Adaptive Safe Semi-Supervised Extreme Machine Learning
IEEE Access, 2019 Semi-supervised learning (SSL) based on manifold regularization (MR) is an excellent learning framework. However, the performance of SSL heavily depends on the construction of manifold graph and the safety degrees of unlabeled samples.
Jun Ma, Chao Yuan
doaj +1 more source
Advanced Functional Materials, EarlyView.This review maps how MOFs can manage hazardous gases by combining adsorption, neutralization, and reutilization, enabling sustainable air‐pollution control. Covering chemical warfare agent simulants, SO2, NOx, NH3, H2S, and volatile organic compounds, it highlights structure‐guided strategies that boost selectivity, water tolerance, and cycling ...
Yuanmeng Tian +8 more
wiley +1 more source
Atomic Layer Deposition in Transistors and Monolithic 3D Integration
Advanced Functional Materials, EarlyView.Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu +5 more
wiley +1 more source
IEEE Access, 2020 In order to effectively reduce the redundant information transmission in the network, a data fusion algorithm based on extreme learning machine optimized by bat algorithm for mobile heterogeneous wireless sensor networks is proposed.
Li Cao +4 more
doaj +1 more source
Nuevas tendencias en redes neuronales artificiales: extreme learning machine [PDF]
, 2009 Las redes neuronales artificiales han sido ampliamente utilizadas para resolver problemas de diagnosis médica, reconocimiento de voz, predicción de índices bursatiles, etc.
García Laencina, Pedro José +4 more
core +1 more source
Advanced Healthcare Materials, EarlyView.We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin +5 more
wiley +1 more source
Improving Multi-Instance Multi-Label Learning by Extreme Learning Machine
Applied Sciences, 2016 Multi-instance multi-label learning is a learning framework, where every object is represented by a bag of instances and associated with multiple labels simultaneously.
Ying Yin +3 more
doaj +1 more source
Hybrid Nanofibers for Multimodal Accelerated Wound Healing
Advanced Healthcare Materials, EarlyView.Fabrication of wound healing scaffolds based on biocompatible nanofibers. Nanofibers offering high surface area, flexibility, and biocompatibility significantly improved the healing outcome in vivo. Histological, immunological, and anti‐inflammatory markers are noticeably better in treated wounds.
Viraj P. Nirwan +15 more
wiley +1 more source
Lung Segmentation from Chest X-rays using Variational Data Imputation
, 2020 Pulmonary opacification is the inflammation in the lungs caused by many respiratory ailments, including the novel corona virus disease 2019 (COVID-19).
Dam, Erik B. +6 more
core
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source