Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Analysis of Outage Probability and Average Bit Error Rate of Parallel-UAV-Based Free-Space Optical Communications. [PDF]
Entropy (Basel)Lin SH, Wang JY, Hua X.
europepmc +1 more source
Reduced-Rank Adaptive Least Bit-Error-Rate Detection in Hybrid Direct-Sequence Time-Hopping Ultrawide Bandwidth Systems [PDF]
, 2011 Qasim Zeeshan Ahmed +2 more
openalex +1 more source
Free‐Form Microfluidic Microneedle Array Patches
Advanced Functional Materials, EarlyView.Microfluidic microneedle array patches (MAPs) integrate hollow microneedles with embedded microfluidic channels, fabricated using high‐resolution 3D printing, to enable controlled transdermal delivery of liquid, mixed, or reconstituted therapeutics.
Ian A. Coates +11 more
wiley +1 more source
Bit Error Rate Performance Improvement for Orthogonal Time Frequency Space Modulation with a Selective Decode-and-Forward Cooperative Communication Scenario in an Internet of Vehicles System. [PDF]
Sensors (Basel)Kulaç S, Şahin M.
europepmc +1 more source
Multi-UAV network control through dynamic task allocation: Ensuring data-rate and bit-error-rate support [PDF]
, 2012 Andrew Kopeikin +3 more
openalex +1 more source
Advanced Functional Materials, EarlyView.This study explores the benefits of metasurfaces made from functional materials, highlighting their ability to be adapted and improved for various high‐frequency applications, including communications and sensing. It first demonstrates the potential of these functional material‐based metasurfaces to advance the field of sub‐THz perceptive networks ...
Yat‐Sing To +5 more
wiley +1 more source
Ice Lithography: Recent Progress Opens a New Frontier of Opportunities
Advanced Functional Materials, EarlyView.This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang +9 more
wiley +1 more source
Bit Error Rate Optimization in Fiber OpticCommunications
International Journal of Machine Learning and Computing, 2011 S M Jahangir Alam +3 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.Garnet‐like luminescence upon Ce3+‐activation is found in the first six representatives Li9RESi4N4O8 (RE = Y, La, Gd, Dy, Yb, Lu) of the substance class of lithium rare‐earth oxonitridolithosilicates, which also show a novel structure type. High‐temperature solid‐state synthesis yielded crystalline samples for single‐crystal X‐ray diffraction‐based ...
Kilian M. Rießbeck +5 more
wiley +1 more source