Results 101 to 110 of about 602,374 (329)

Local Coupled Extreme Learning Machine Based on Particle Swarm Optimization

open access: yesAlgorithms, 2018
We developed a new method of intelligent optimum strategy for a local coupled extreme learning machine (LC-ELM). In this method, both the weights and biases between the input layer and the hidden layer, as well as the addresses and radiuses in the local ...
Hongli Guo   +5 more
doaj   +1 more source

Precise Control of Drug Release in Machine Learning‐Designed Antibody‐Eluting Implants for Postoperative Scarring Inhibition in Glaucoma

open access: yesAdvanced 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

A Sacrificial 3D Printed Vessel‐on‐Chip Demonstrates a Versatile Approach to Model Granulation Tissue

open access: yesAdvanced Healthcare Materials, EarlyView.
A novel method that combines 3D printing and organ‐on‐chip technology enables the creation of hollow channels lined with endothelial cells through a fibroblast‐populated connective tissue matrix. The model supports stable metabolic culture conditions, angiogenic sprouting, and immune cell migration, thereby demonstrating an easy and versatile method to
Jonas Jäger   +7 more
wiley   +1 more source

The Promise of Solid Lubricants for a Sustainable Future

open access: yesAdvanced Materials, EarlyView.
Lubricants are vital for technology, saving energy and resources. The industry seeks sustainable solutions beyond fossil fuels. Solid lubricants offer extremely low friction and reduce environmental impact, especially in harsh conditions. Can these solids truly replace liquid lubricants, or are they limited to extreme applications?
Philipp G. Grützmacher   +7 more
wiley   +1 more source

Effective non-random extreme learning machine

open access: yesNeural Computing and Applications
To appear in Neural Computing and Applications (online 29 July 2025)
Daniela De Canditiis, Fabiano Veglianti
openaire   +2 more sources

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced 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

Physical Intelligence in Small‐Scale Robots and Machines

open access: yesAdvanced Materials, EarlyView.
“Physical intelligence” (PI) empowers biological organisms and artificial machines, especially at the small scales, to perceive, adapt, and even reshape their complex, dynamic, and unstructured operation environments. This review summarizes recent milestones and future directions of PI in small‐scale robots and machines.
Huyue Chen, Metin Sitti
wiley   +1 more source

An Enhanced Deep Extreme Learning Machine for Integrated Modular Avionics Health State Estimation

open access: yesIEEE Access, 2018
Integrated modular avionics (IMA) is one of the most advanced systems whose performance deeply impact on the security of civil aircraft. In order to enhance the safety and reliability of aircraft, the health state of the IMA must be estimated accurately.
Zehai Gao, Cunbao Ma, Zhiyu She, Xu Dong
doaj   +1 more source

Sculpting the Future of Bone: The Evolution of Absorbable Materials in Orthopedics

open access: yesAdvanced Materials, EarlyView.
This review summarizes the current status of polymeric, ceramic, and metallic absorbable materials in orthopedic applications, and highlights several innovative strategies designed to enhance mechanical performance, control degradation, and promote bioactivity. We also discuss the progress and translational potential of absorbable materials in treating
Zhao Wang   +13 more
wiley   +1 more source

Fused Weighted Federated Deep Extreme Machine Learning Based on Intelligent Lung Cancer Disease Prediction Model for Healthcare 5.0 [PDF]

open access: hybrid, 2023
Sagheer Abbas   +7 more
openalex   +1 more source

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