Results 211 to 220 of about 606,530 (324)

Systematic Benchmarking of a Noise‐Tolerant Conductive Hydrogel Electrode for Epidermal Bioelectronics

Advanced Science, EarlyView.
General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen, Ioannis Ziogas, Shirina Alsaedi, Mouza Alshehhi, Shahd Almheiri, Adil Rehman, Khulood Al Shehhi, Hani Saleh, Ahsan Khandoker, Charalampos Pitsalidis, Antoun Khawaja, Anna‐Maria Pappa   +11 more
wiley   +1 more source

Extreme learning machine for identifying soil-dwelling microorganisms cultivated on agar media. [PDF]

Sci Rep
Struniawski K, Kozera R, Trzciński P, Marasek-Ciołakowska A, Sas-Paszt L.   +4 more
europepmc   +1 more source

Impact of Financial Literacy on Investment Decisions and Stock Market Participation using Extreme Learning Machines [PDF]

Indu Singh, Gunbir Singh Baveja
openalex   +1 more source

Mendelian Randomization and Double Machine Learning Modeling Reveal Brain Imaging‐Derived Phenotypes as Functional Contributors to 18 Autoimmune Inflammatory Diseases

Advanced Science, EarlyView.
This schematic integrates the eight statistically significant causal relationships identified between 1,366 brain imaging‐derived phenotypes (IDPs) and 18 autoimmune inflammatory diseases (AIDs). Arrows indicate the direction of causality inferred from bidirectional two‐sample MR analyses.
Jinbin Chen, Xin Wang, Haifeng Ding, Bosheng Zheng, Keni Zeng, Chuying Hu, Jiayi Liu, Xiao Zhu, Haibing Yu   +8 more
wiley   +1 more source

Fibrosis and inflammatory activity diagnosis of chronic hepatitis C based on extreme learning machine. [PDF]

Sci Rep
Cai J, Chen T, Qi Y, Liu S, Chen R.
europepmc   +1 more source

A Novel Approach for Lie Detection Based on F-Score and Extreme Learning Machine

, 2013
Junfeng Gao, Zhao Wang, Yong Yang, Zhang Wenjia, Chunyi Tao, Jinan Guan, Nini Rao   +6 more
openalex   +2 more sources

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

Advanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen, Renato S. M. Almeida, Stefan Flauder, Guillaume Couégnat, Kamen Tushtev, Jürgen Horvath, Peter Wriggers, Kurosch Rezwan   +7 more
wiley   +1 more source

Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images. [PDF]

Sci Rep
Eliazer M, Amaran S, Sreekumar K, Vikram A, Joshi GP, Cho W.   +5 more
europepmc   +1 more source

Cohort‐Scale Spatial Autocorrelation for Tumor Prediction in Mid‐Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics

Advanced Science, EarlyView.
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel, Nikolas Ebert, Denis Abu Sammour, Sebastian Graf, Björn C. Fröhlich, Emrullah Birgin, Shad A. Mohammed, Nuh N. Rahbari, Axel Wellmann, Oliver Wasenmüller, Cleo‐Aron Weis, Stefan Schmidt, Carsten Hopf   +12 more
wiley   +1 more source

Salp Navigation and Competitive based Parrot Optimizer (SNCPO) for efficient extreme learning machine training and global numerical optimization. [PDF]

Sci Rep
Adegboye OR, Feda AK, Tejani GG, Smerat A, Kumar P, Agyekum EB.   +5 more
europepmc   +1 more source