Results 221 to 230 of about 336,714 (315)

AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes

Advanced Intelligent Discovery, EarlyView.
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song, Xinmin Li, Hongbo Yu, Le Xiong, Guixia Liu, Weihua Li, Yun Tang   +6 more
wiley   +1 more source

Electricity price forecasting with ensemble meta-models and SHAP explainers: a PCA-driven approach. [PDF]

Sci Rep
Hayati A, Gharehveran SS, Shirini K.
europepmc   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

PhysEmbedFormer: a physics-guided interpretable architecture for days-ahead forecasting of PV power. [PDF]

Sci Rep
Yu Y, Loskot P, Gao Y.
europepmc   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Correcting for publication bias in a meta-analysis with the p-uniform* method. [PDF]

Psychon Bull Rev
van Aert RCM, van Assen MALM.
europepmc   +1 more source

RMSE of the training results.

Naiwei Tu (22177688), Yibo Shi (8977046), Yuqiang Hao (22177691)   +2 more
openalex   +1 more source

A Novel Parameter Estimation Method for Pneumatic Soft Hand Control Applying Logarithmic Decrement for Pseudo‐Rigid Body Modeling

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang, Kelvin HoLam Heung, Gabrielle J. Naquila, Ashwin Hingwe, Ashish D. Deshpande   +4 more
wiley   +1 more source

Covariate Adjustment in Basket Trials Borrowing Information Across Subgroups. [PDF]

Stat Med
Ren J, Robertson DS, Zheng H.
europepmc   +1 more source

Statistical results of TomoGRAF ablation study evaluated on test set. 1/2/5/10-Views represent the number of views used for reconstruction reference. Training with and without 3D CT supervision is also compared in the current table. ↑ indicates the higher the statistical value, the better, and vice versa for ↓. SSIM and PSNR are calculated with images normalized to [0,1] scales and RMSE are calculated based on Hounsfield units (HUs).

Di Xu (1443394), Yang Yang (45629), Hengjie Liu (4277623), Qihui Lyu (22110512), Martina Descovich (22110515), Dan Ruan (4391938), Ke Sheng (433616)   +6 more
openalex   +1 more source