Results 81 to 90 of about 55,329 (202)

Application of the method of fundamental solutions for inverse problems related to the determination of elasto-plastic properties of prizmatic bar [PDF]

, 2013
The problem of determining the elastoplastic properties of a prismatic bar from the given relation from experiment between torsional moment MT and angle of twist per unit of rod’s length θ is investigated as inverse problem.
Kolodziej, J. A., Mierzwiczak, M.
core  

A trade‐off between efficiency and stability in a class of sky‐blue organic light‐emitting diodes

FlexMat, EarlyView.
OLED efficiency and stability are correlated with device structure using combined experimental and simulation approach. Efficient, but less stable devices suffer mainly from exciton‐exciton annihilation, while their opposites have excitons predominantly quenched by polarons.
Eglė Tankelevičiūtė, Sandra Jenatsch, Beat Ruhstaller, Eli Zysman‐Colman, Ifor D. W. Samuel   +4 more
wiley   +1 more source

Modeling Leachate Generation Using Artificial Neural Networks [PDF]

آب و فاضلاب, 2011
In this study, a neural network model is proposed for modeling leachate flow-rate in a municipal solid waste landfill site. After training, the neural network model predicts leachate generation based on meteorological data and leachate characteristics ...
Mohammad Javad Zoqi, Mohsen Saeedi
doaj  

The Illusion of Structural Order: Evaluating the Suppression of Amorphous Carbon Black Pigment Bands in SSE‐Processed Handheld Raman Spectra

Journal of Raman Spectroscopy, EarlyView.
The handheld Raman with SSE system efficiently mitigates fluorescence; however, it may also bias the Raman response towards graphitic domains in carbon‐based black pigments, thereby concealing amorphous carbon contributions that are critical for pigment type identification.
Zeynep Alp, Christoph Herm
wiley   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source

Prediction of the Mechanical Properties of the Additive Friction Stir‐Deposited Al2219 Using Machine Learning

Materials Genome Engineering Advances, EarlyView.
In this work, three prediction machine learning (ML) models (MLP, RBF, BP) are developed to predict the ultimate tensile strength (UTS) and elongation (EL) of the AFSDed Al2219 samples. ABSTRACT Additive friction stir deposition (AFSD) is an effective method for fabricating high‐performance deposits, with process parameters directly influencing the ...
Chan Wa Tam, Qian Qiao, Xiaowei Chen, Wai I Lam, Xiumei Gong, Yongyong Lin, Hongchang Qian, Dawei Guo, Dawei Zhang, Chi Tat Kwok, Lap Mou Tam   +10 more
wiley   +1 more source

Static formation temperature estimation method based on the Levenberg-Marquardt algorithm

Shenzhen Daxue xuebao. Ligong ban
Static formation temperature (SFT) is a crucial parameter for assessing the thermal state of geothermal and hydrocarbon reservoirs, playing a vital role in reservoir characterization and development planning.
HUANG Ya, WAN Fusang, WANG Zhongpeng, WANG Pan, ZHU Yuhao   +4 more
doaj   +1 more source

Analytical and Numerical Soliton Solutions of the Shynaray II‐A Equation Using the G′G,1G$$ \left(\frac{G^{\prime }}{G},\frac{1}{G}\right) $$‐Expansion Method and Regularization‐Based Neural Networks

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq, H. W. A. Riaz, Sadique Rehman, M. Mamun Miah, Wen Xiu Ma   +4 more
wiley   +1 more source

Human Gait Analysis and Prediction Using the Levenberg-Marquardt Method. [PDF]

J Healthc Eng, 2021
Alharbi A, Equbal K, Ahmad S, Rahman HU, Alyami H.   +4 more
europepmc   +1 more source

Opt: A Domain Specific Language for Non-linear Least Squares Optimization in Graphics and Imaging

, 2016
Many graphics and vision problems can be expressed as non-linear least squares optimizations of objective functions over visual data, such as images and meshes.
Bernstein, Gilbert, DeVito, Zachary, Fisher, Matthew, Hanrahan, Pat, Mara, Michael, Nießner, Matthias, Ragan-Kelley, Jonathan, Theobalt, Christian, Zollhöfer, Michael   +8 more
core   +1 more source