Results 161 to 170 of about 1,725,169 (334)

Machine learning for the diagnosis of fibromyalgia based on magnetic resonance imaging. [PDF]

PLoS One
Zeng Z, Liao W, Wu X, Liao X, Ou Y, Zhao L, Zhao L, Luo D, Wang F.   +8 more
europepmc   +1 more source

Mathematical Modeling for Machine Learning: Theory, Simulation, and Scientific Computing [PDF]

Murali Krishna Pasupuleti
openalex   +1 more source

Spectral theory and the eigenvariety machine

These are extended lecture notes for a mini course at the Spring School on Non-Archimedean Geometry and Eigenvarieties held at Heidelberg University in March 2023. The goal of the course is to explain a modern take on the eigenvariety machine in the language of adic spaces. For this we build on the theory developed in the first week of the school.
openaire   +2 more sources

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Partner or burden? The dual pathways linking perceived attributes of intelligent cockpits to human-machine collaboration willingness via cognitive load. [PDF]

BMC Psychol
Li S.
europepmc   +1 more source

Multivariate control theory in linear sequential machines

, 1973
Spyros G. Tzafestaş
openalex   +1 more source

Electroactive Metal–Organic Frameworks for Electrocatalysis

Advanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska, Yutong Luo, Ruyan Zhao, Jianjun Zhang, Mingchao Wang, Xinliang Feng, Eike Brunner, Stefan Kaskel   +7 more
wiley   +1 more source

Does the Habit Theory of Addictions Extend to Disordered Gambling? [PDF]

Curr Addict Rep
van Timmeren T, Clark L.
europepmc   +1 more source

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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

ASH: A Multi-Scale, Multi-Theory Modeling Program. [PDF]

J Comput Chem
Bjornsson R.
europepmc   +1 more source