Article
Engineering, Electrical & Electronic
Sigurd Eide, Titus Casademont, Oyvind Lund Aardal, Svein-Erik Hamran
Summary: Determining subsurface properties through ground penetrating radar sounding can be challenging in planetary exploration. This study presents a method for improving analysis and interpretation of data acquired with RIMFAX through detailed comparison with forward modeling. Accurate modeling is achieved through finite-difference time-domain simulations, and the necessary steps to replicate the same transmitter and receiver characteristics are presented.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Engineering, Chemical
Jing Wu, Lili Tang, Shaoqin Jin, Xuan Li, Huan Liu, Dong Li, Yiqi Liu, Qilin Wang
Summary: An adaptive hybrid soft sensor model with semisupervised learning is proposed to address multirate issues in wastewater treatment processes, using different regression models to predict hard-to-measure variables and achieving better prediction accuracy and shorter time consumption compared to standard models.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Takayuki Shuku, Kok-Kwang Phoon
Summary: This study develops a lasso method specialized for geotechnical problems, and proposes an efficient implementation to address the computational challenges in 3D scenarios.
COMPUTERS AND GEOTECHNICS
(2021)
Article
Agriculture, Multidisciplinary
Pervin A. Akin, Banu Sezer, Scott R. Bean, Kamaranga Peiris, Michael Tilley, Hakan Apaydin, Ismail H. Boyaci
Summary: Using Laser-induced breakdown spectroscopy (LIBS) combined with chemometrics, this study successfully classified flour samples and determined the sorghum ratio in sorghum/corn flour mixtures with high accuracy. The study offers a rapid method for determining the sorghum level in corn-sorghum flour mixtures and classifying flour samples, with a short analysis time and no need for time-consuming sample preparation procedures.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2021)
Article
Chemistry, Analytical
Fei Cheng, Chunhua Yang, Hongqiu Zhu, Yonggang Li, Lijuan Lan, Kai Wang
Summary: NICEM is a semi-supervised spectral calibration method that decouples spectral features based on information lossless decoupling. It uses the NICE model to learn the sample distribution and evaluates the association between latent feature variables and attributes using the maximum mutual information coefficient. The method is applicable for quantitative analysis of spectral data and has shown promising results in experiments.
ANALYTICAL CHEMISTRY
(2023)
Article
Engineering, Civil
Ashish Pal, Wei Meng, Sergei M. Bachilo, R. Bruce Weisman, Satish Nagarajaiah
Summary: Non-destructive measurements of surface strain are crucial in detecting early symptoms of hidden damage. This study investigates the effectiveness of a method called S4 in finding internal damage. By using single-wall carbon nanotubes as strain sensors, the S4 method accurately measures strain maps. The results show that S4 strain mapping is a reliable non-destructive evaluation method for detecting and visualizing subsurface damage.
ENGINEERING STRUCTURES
(2023)
Article
Geochemistry & Geophysics
Xiaoxue Lin, Xing Gao, Ling Wan, Tingting Lin
Summary: Surface magnetic resonance sounding is a unique geophysical method that can directly track and quantify groundwater, with the new electrical source mode showing advantages over the traditional magnetic source, providing higher signal amplitude and better resolution.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Biochemical Research Methods
Santiago Codesido, Mohamed Hanafi, Yoric Gagnebin, Victor Gonzalez-Ruiz, Serge Rudaz, Julien Boccard
Summary: This study developed an original multivariate method called NetPCA to handle complex data structures with different groups of observations and blocks of variables. Through a case study on metabolomic data, the algorithm was shown to be an efficient solution for evaluating the influence of each group and providing decisive information for objective interpretation of various metabolic annotation levels.
Article
Environmental Sciences
Jie Wu, Huadong Guo, Yixing Ding, Haolu Shang, Tong Li, Lei Li, Mingyang Lv
Summary: This study investigates one factor affecting Earth's shortwave radiant exitance - anisotropic surface reflection. Through model construction and analysis of multiple variables, it is found that there are differences between anisotropic and isotropic reflection in Earth's outgoing shortwave radiance in the lunar direction, but they both exhibit the same monthly cycle change.
Article
Geochemistry & Geophysics
Chuangjian Li, Jingtao Zhao, Suping Peng, Peng Lin
Summary: Diffractions are reliable carriers of high-resolution structural information and can be enhanced using the Kirchhoff demigration method with a dip-based weight function. By designing a dip-based filter, reflection waves can be suppressed during demigration, allowing for the extraction of diffraction-only waves even in cases of amplitude sharp changes. This method has shown potential in separating diffractions and highlighting geological discontinuities, as demonstrated in overthrust and field data applications.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2021)
Article
Chemistry, Applied
Kumiko Kikuchi, Masako Katsuyama, Takako Shibata, Jon Yngve Hardeberg
Summary: We have developed a system that separates and measures the optical properties of skin to determine its visual quality, including surface reflection, diffuse reflection, and subsurface scattering components. The system uses polarization filters, a projector, and a high-frequency binary illumination pattern to separate and analyze each component image quantitatively, allowing for a better understanding of the skin's overall appearance.
COLOR RESEARCH AND APPLICATION
(2023)
Article
Physics, Applied
Alex Gelinas, Jacopo Profili, Faegheh Fotouhiardakani, Williams Marcel Caceres Ferreira, Morgane Laurent, Sethumadhavan Ravichandran, Gaetan Laroche
Summary: In this article, partial least squares regression was used to study the continuous dielectric discharge process and modify the surface of a fluoropolymer. Cross-validation was employed to find the optimal number of latent variables, reducing model error. Key parameters were identified using variable importance on the projection (VIP) and biplot exploratory graph. The model was able to accurately predict additional data and perform well outside of the training range, with the applicability domain discussed.
PLASMA PROCESSES AND POLYMERS
(2023)
Article
Computer Science, Artificial Intelligence
Jing Wang, Carla Kuesten, Jim Mayne, Gopa Majmudar, Thrasyvoulos N. Pappas
Summary: This study proposes objective image-based techniques for quantitative evaluation of facial skin gloss, revealing the impact of different statistics of surface and subsurface reflections on skin gloss perception. The analysis shows that the contrast of the surface reflection has a strong positive influence on skin gloss perception, while the darkness of the subsurface reflection has a weaker positive effect on perceived gloss.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Article
Engineering, Civil
Zhi Li, Ben R. Hodges, Xia Shen
Summary: A new model is developed to investigate the salinity transport mechanisms in a coastal salt marsh. The study finds that both surface water evaporation and groundwater coupling play important roles in salinity flux, and a coarse grid model may misrepresent small topographic features. Results show that surface water evaporation is a major driver of hypersalinity, and including these processes has minimal impact on comparison with field data.
JOURNAL OF HYDROLOGY
(2023)
Article
Automation & Control Systems
Abouzar Choubineh, Jie Chen, David A. Wood, Frans Coenen, Fei Ma
Summary: This study shows that the accuracy of deep learning algorithms can be improved by combining multiple deep learners into an ensemble. By using deep ensemble learning, better predictions can be achieved in the mixed generalized multiscale finite element method. The study also found that skip connections can enhance the performance of standard convolutional neural networks, with the DualSkip CNN being the most effective. The combined models outperform the individual models for all basis functions.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)