Results 211 to 220 of about 48,097 (299)

Machine learning-based modeling and analysis of solubility behavior in supercritical CO₂ systems under different operating conditions. [PDF]

Front Med (Lausanne)
Khoshaim AB.
europepmc   +1 more source

Nanotechnology‐Driven Analysis of MHD Maxwell‐Casson Nanofluid Flow With Activation Energy Using Artificial Neural Networks

Engineering Reports, Volume 8, Issue 10, October 2026.
This study investigates Casson nanofluid flow over a porous inclined plate under magnetic field, thermal radiation, buoyancy, and chemical reaction with activation energy. A feedforward artificial neural network (ANN) is employed to solve the coupled nonlinear governing equations and predict velocity, temperature, and concentration profiles.
D. Prabu, Shajar Abbas, Abdul Raqib Muslimyar, Razaullah Hafiz Ullah, Ruzimurod Abiyev, Emad A. Az‐Zo'bi   +5 more
wiley   +1 more source

Prediction of Radiation-Shielding Performance of Boron-Doped Glasses Using Artificial Neural Networks and Statistical Analysis. [PDF]

Materials (Basel)
Oruncak B, Polat S, Hepdeniz K, Keskinkaya HB.   +3 more
europepmc   +1 more source

Artificial Intelligence, Economic Decision‐Making, and Air Transport Performance: Evidence From G7 Countries

Managerial and Decision Economics, Volume 47, Issue 7, Page 1856-1873, October 2026.
ABSTRACT This paper examines the role of artificial intelligence (AI) in shaping economic decision‐making and improving air transport performance in G7 countries over the period 1996–2021. AI is proxied by scientific publications and interpreted as an indicator of innovation capacity that supports data‐driven decision‐making and operational efficiency ...
Emin Ahmet Kaplan, Tufan Sarıtaş, Yasin Büyükkör, Alper Aslan   +3 more
wiley   +1 more source

A novel approach for forecasting algal bloom: long short-term memory artificial neural network with exponential smoothing feedback optimized by the arithmetic mean algorithm. [PDF]

Sci Rep
Isık H, Egrioglu E, Bas E, Akkan BE, Akkan T.   +4 more
europepmc   +1 more source

Simultaneous T2, T2*, and R2′ Mapping for Multiple Sclerosis Using Nonlinear Model‐Based Reconstruction of Undersampled Radial RARE‐EPI MRI

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1872-1892, October 2026.
ABSTRACT Purpose To demonstrate the synergy of undersampled radial 2in1‐RARE‐EPI acquisition and nonlinear model‐based reconstruction for accelerated and simultaneous T2, T2*, and R2′ mapping in brains of patients with multiple sclerosis (MS). Methods 2in1‐RARE‐EPI combines a RARE module with an EPI module to capture T2 and T2* information.
Jose Raul Velasquez Vides, Carl J. J. Herrmann, Thomas Gladytz, Hoby P. Hetherington, Hendrik Mattern, Xiaoqing Wang, Jason M. Millward, Shahriar Shalikar, Igor Fabian Tellez Ceja, Beate Endemann, Sonia Waiczies, Joseph Kuchling, Friedemann Paul, Georg Rose, Min‐Chi Ku, Franz Schmitt, Thoralf Niendorf   +16 more
wiley   +1 more source

A quantum reservoir computing approach to quantum stock price forecasting in technology-markets. [PDF]

EPJ Quantum Technol
Otieno W, Zagoskin A, Balanov AG, Totero Gongora J, Savel'ev SE.   +4 more
europepmc   +1 more source

A Machine Learning Approach That Measures Extracellular pH Within an In Vivo Tumor Model Using acidoCEST MRI

NMR in Biomedicine, Volume 39, Issue 10, October 2026.
Machine learning models, particularly RFR (random forest regression), provide accurate and computationally efficient tumor pHe estimation from acidoCEST MRI without requiring auxiliary parametric maps. RFR achieved comparable performance to traditional Bloch fitting (RMSE: 0.020 vs.
Alia Khaled, Chetan B. Dhakan, Lucas B. McCullum, Jorge de la Cerda, F. William Schuler, Tianzhe Li, Mark D. Pagel   +6 more
wiley   +1 more source

Predicting Mechanical Properties of Lignin-Containing Polyurethane Rigid Foams from Microstructure Using Convolutional Neural Networks. [PDF]

Polymers (Basel)
Hage IS, Seif CY, Quinsaat JEQ, Van De Pas DJ, Vendamme R, Eevers W, Vanbroekhoven K, Feghali E.   +7 more
europepmc   +1 more source

Unmanned Aerial Systems for Corrosion Detection: Multi‐Sensor Technologies, Challenges, and Opportunities for Next‐Generation Inspection

Quality and Reliability Engineering International, Volume 42, Issue 6, Page 3565-3583, October 2026.
ABSTRACT Corrosion remains a critical threat to the integrity and service life of infrastructure in industries such as oil, gas, construction, renewable energy, and transportation. Traditional inspection methods, being labor‐intensive, hazardous, and often subjective, fall short in addressing modern inspection demands.
Alhossein Alharbi, Yunes Alqudsi, Alhasan Ali Alharbi, Mohammed Basheer Mohiuddin   +3 more
wiley   +1 more source