Results 171 to 180 of about 21,772 (300)

Microgel‐Based 3D Bioprinting: A Convergent Strategy Integrating Material Design, Jamming Dynamics, and Biological Function

Advanced Healthcare Materials, EarlyView.
Microgel‐based 3D printed constructs represent a compelling and versatile innovation for engineering architecturally complex, dynamically remodelable, and biocompatible structures with high structural fidelity and bioactivity. By integrating material design, biofabrication, and biological function, these systems enable the development of adaptive ...
Elena Ghighină, Andreea Ioana Dinu, Jana Ghițman   +2 more
wiley   +1 more source

Interpretable intrusion detection for IoT: a CNN-BiLSTM permutation importance framework for deep feature selection. [PDF]

Front Big Data
Al-Shibly I, Burgas L, Massana J.
europepmc   +1 more source

Immunoinflammatory Mechanisms and Biocompatibility of Bioactive Dental Biomaterials: From Fundamental Insights to Clinical Translation

Advanced Healthcare Materials, EarlyView.
Surface‐host dialogue at the implant interface governs biological fate and osseointegration. Surface physicochemical properties of titanium (Ti) dental implants, including microgrooves, nanopatterns, nanotopography, roughness, and wettability, modulate the initial adsorption of proteins and the formation of a dynamic biointerface.
Daniela Moreira Cunha, Amanda Paino Santana, Marta Maria Alves Pereira, Mariana Martins Guerreiro, Jose Mauro Granjeiro, Jamil Awad Shibli, Jeroen J. J. P. van den Beucken, Anton Sculean, Rafael Scaf de Molon, Erica Dorigatti de Avila   +9 more
wiley   +1 more source

Next challenges for adaptive learning systems

, 2012
Mohamed Gaber, João Gama, Bifet, A., Albert Bifet, Minku, Leandro; id_orcid, Leandro Minku, Minku, L., Katarzyna Musial, Gaber, M., Bogdan Gabrys, Zliobaite, I., Gabrys, B., Gama, Joao, Musial, Katarzyna, Gabrys, Bogdan, Bifet, Albert, Gaber, Mohamed, Zliobaite, Indre, Indre Zliobaite, Gama, J., Musial, K.   +20 more
core   +1 more source

PERFORMANCE OF DIFFERENT CLASSIFIERS IN SPEECH RECOGNITION

, 2013
Speech is the most natural means of communication among human beings and speech processing and recognition are intensive areas of research for the last five decades.
Sonia, Sunny, David, Peter S, Poulose Jacob,K   +2 more
core  

Toward transparent intelligence: Explainable stacked ensembles learning for LiDAR point cloud segmentation. [PDF]

PLoS One
Bondhon AR, Dey EK.
europepmc   +1 more source

Natural Biomaterials for Osteochondral Repair: From Source to Strategy

Advanced Healthcare Materials, EarlyView.
Biological origin‐guided overview of natural biomaterials and therapeutic strategies for osteochondral tissue engineering. The circular diagram categorizes representative materials and strategies into plant/algae‐derived, microbial‐derived, animal‐derived, and human‐derived sources, centered on an osteochondral defect repair model.
Hengyu Liu, Hanyang Zhang, Wenbo Yang, Hao Chen, Jincheng Wang, Fei Chang   +5 more
wiley   +1 more source

Engineered AuNPs/fMWCNT Nanocomposite Electrodes for High‐Sensitivity Methylglyoxal Sensing in Saliva and Sweat for Non‐Invasive Diabetes Monitoring

Advanced Healthcare Materials, EarlyView.
An AuNPs/fMWCNT nanocomposite‐modified screen‐printed carbon electrode was engineered via sequential electrodeposition and integrated into a 3D‐printed microfluidic platform for ultrasensitive methylglyoxal detection. The non‐invasive sensing platform enables rapid analysis in saliva and sweat, highlighting strong potential for wearable point‐of‐care ...
Ahadul Amin Soshi, Md Younus Ali, Dadbeh Pazuki, Matiar M.R. Howlader   +3 more
wiley   +1 more source

Query Learning with Large Margin Classifiers

, 2000
The active selection of instances can significantly improve the generalisation performance of a learning machine. Large margin classifiers such as support vector machines classify data using the most informative instances (the support vectors). This
Cristianini, N, Smola, A, Colin Campbell, Nello Cristianini, Campbell, ICG, Alex Smola   +5 more
core  

Trinary Decision Trees for handling missing data

This paper introduces the Trinary decision tree, an algorithm designed to improve the handling of missing data in decision tree regressors and classifiers. Unlike other approaches, the Trinary decision tree does not assume that missing values contain any
Zakrisson, Henning
core   +1 more source