Results 171 to 180 of about 1,130,914 (300)

Adoption of Machine Learning Techniques to Perform Secondary Studies: A Systematic Mapping Study for the Computer Science Field

, 2019
Leonardo Cairo, Glauco de Figueiredo Carneiro, Bruno C. da Silva   +2 more
openalex   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

A new benchmark for machine learning applied to powder X-ray diffraction. [PDF]

Sci Data
Rincón S, González G, Macías MA, Arbeláez P.   +3 more
europepmc   +1 more source

Optimization of Artificial Intelligence (AI) and Machine Learning (ML) Integration in Modern Computer Science: A TOPSIS-based Analysis

openalex   +1 more source

Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production

Advanced Functional Materials, EarlyView.
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen, Asier Agrelo‐Lestón, Ignasi Burgués‐Ceballos, Jordi Llorca, Lluís Soler   +4 more
wiley   +1 more source

EEG based real time classification of consecutive two eye blinks for brain computer interface applications. [PDF]

Sci Rep
Rabbani M, Sabith NUS, Parida A, Iqbal I, Mamun SM, Khan RA, Ahmed F, Ahamed SI.   +7 more
europepmc   +1 more source

Integration of Machine Learning and Data Science for Optimized Decision-Making in Computer Applications and Engineering

Sunil Kumar
openalex   +1 more source

SmartCS: Enabling the Creation of Machine Learning–Powered Computer Vision Mobile Apps for Citizen Science Applications without Coding [PDF]

Fahim Hasan Khan, Akila de Silva, Gregory Dusek, James Davis, Alex Pang   +4 more
openalex   +1 more source

Bridging Theory and Experiment: Machine Learning Potential‐Driven Insights into pH‐Dependent CO₂ Reduction on Sn‐Based Catalysts

Advanced Functional Materials, EarlyView.
Machine learning potential (MLP) enables large‐scale molecular dynamics (MD) simulations, uncovering dynamic surface reconstruction of SnO₂ and SnS₂ under CO₂ reduction reaction condition. The negative dipole moments upon *OCHO adsorption are the primary factors driving the leftward shift of the volcano plot.
Yuhang Wang, Zelin Wu, Yingfang Jiang, Di Zhang, Qiang Wang, Congwei Wang, Huihui Li, Xue Jia, Jun Fan, Hao Li   +9 more
wiley   +1 more source

Implementing partial least squares and machine learning regressive models for prediction of drug release in targeted drug delivery application. [PDF]

Sci Rep
Yadav A, Jayaprakash B, Jasim LH, Kundlas M, Anad MY, Srivastava A, Ramudu MJ, Bharathi B, Sahu PK.   +8 more
europepmc   +1 more source