Results 171 to 180 of about 1,068,320 (275)

Does a Morphotropic Phase Boundary Exist in ZrxHf1‐xO2‐Based Thin Films?

Advanced Functional Materials, EarlyView.
This study investigates 6 nm zirconium‐rich hafnium‐zirconium oxide thin–film metal–insulator–metal capacitors using a combination of experimental methods and machine learning–based molecular dynamics simulations to provide insight into the physical mechanisms that enhance the dielectric constant near 0 V and attribute it to the field‐induced ...
Pramoda Vishnumurthy, Richard Ganser, Dong‐Gyu Kim, Intak Jeon, Chang Hwa Jung, Hanjin Lim, Thomas Mikolajick, Susan Trolier‐McKinstry, Alfred Kersch, Uwe Schroeder   +9 more
wiley   +1 more source

Artificial intelligence and oral photography: an approach to the epidemiology of dental caries. [PDF]

Rev Saude Publica
Noro LRA, Manzanares Céspedes MC.
europepmc   +1 more source

Periodontal Disease Detection with Machine Learning Technology From Radiographic Images : An Interdisciplinary Study Of Dentistry and Computer Science

Yusra Fadhillah, Ade Ismail Abdul Kodir, Muhammad Noor Hasan Siregar   +2 more
openalex   +2 more sources

Wetting Interactions Between Porous Carbon Hosts and Liquid Sodium‐Potassium Alloys Toward Their Use in Negative Electrodes of Alkali‐Metal Batteries

Advanced Functional Materials, EarlyView.
Porous carbon host materials are investigated for their possible usage in liquid alkali‐metal negative electrodes. X‐ray computed tomography reveals pore‐filling behavior under various conditions: non‐wetting, forced wetting, and spontaneous wetting. The applicability of porous carbon in electrochemical cells is demonstrated at high areal capacities ...
Johannes Baller, André Hilger, Naiyu Qi, Chiara Morini, Andrea Cornelio, Arndt Remhof, Markus Osenberg, Ingo Manke, Julian Moosmann, Felix Beckmann, Gustav Graeber   +10 more
wiley   +1 more source

Ensemble agent based machine learning approach for energy efficient attack detection and prevention in MANETs. [PDF]

Sci Rep
Nigam P, Tiwari A, Diwan TD, Miroslav M, Samal SP.   +4 more
europepmc   +1 more source

A Comprehensive Analysis of Artificial Intelligence, Machine Learning, Deep Learning and Computer Vision in Food Science

Premkumar Borugadda, Hemantha Kumar Kalluri   +1 more
openalex   +1 more source

Rational Design of Printable Carbon Nanotube Transparent Conductive Films via Data‐Driven and Mechanistic Insights

Advanced Functional Materials, EarlyView.
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou, Ken‐ichi Nomura, Shun Muroga, Makoto Yoneya, Don N. Futaba, Takeo Yamada, Reiko Azumi, Kenji Hata   +7 more
wiley   +1 more source

An AI-powered smart Agribot for detecting locusts in farmlands using IoT and deep learning. [PDF]

Sci Rep
Al Reshan MS, Rahman W, Mia S, Talukder MH, Rahman MM, Shaikh A, Asuroglu T, Rasheed J.   +7 more
europepmc   +1 more source

Machine Learning in Medical Imaging (Lecture Notes in Computer Science 10541)

Machine Learning in Medical Imaging (Lecture Notes in Computer Science 10541)
identifier:oai:t2r2.star.titech.ac.jp ...
openaire