Results 251 to 260 of about 63,696 (324)

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

Unlocking Gait Analysis Beyond the Gait Lab: High-Fidelity Replication of Knee Kinematics Using Inertial Motion Units and a Convolutional Neural Network. [PDF]

Arthroplast Today
Bini SA, Gillian N, Peterson TA, Souza RB, Schultz B, Mormul W, Cichoń MK, Szczotka AB, Poupyrev I.   +8 more
europepmc   +1 more source

Penalized Likelihood Regression in Reproducing Kernel Hilbert Spaces with Randomized Covariate Data

, 2010
Xiwen Ma, Bin Dai, Ronald Klein, Ronald Klein, Kristine E. Lee, Grace Wahba   +5 more
openalex   +2 more sources

Recent Advancements in Topic Modeling Techniques for Healthcare, Bioinformatics, and Other Potential Applications

Advanced Intelligent Systems, EarlyView.
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari, Sachin Kadian, Mukund Vora, Pradyumna Vemuri, Sumit Kumar, Om Prakash Verma, Roger J. Narayan   +6 more
wiley   +1 more source

NONLINEAR GLOBAL FRÉCHET REGRESSION FOR RANDOM OBJECTS VIA WEAK CONDITIONAL EXPECTATION. [PDF]

Ann Stat
Bhattacharjee S, Li B, Xue L.
europepmc   +1 more source

Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces

, 2010
Pantelis Bouboulis, Sergios Theodoridis
openalex   +2 more sources

RefineCatDiff: Toward High‐Quality Medical Image Segmentation via a Categorical Diffusion Refinement Framework

Advanced Intelligent Systems, EarlyView.
This study proposes RefineCatDiff, a refinement framework for high‐quality medical image segmentation. By developing a categorical distribution‐based discrete diffusion process for refinement, the framework aligns well with the characteristics of image segmentation tasks. Experimental results on multiple datasets across different modalities demonstrate
Feng Liu, Hongjian Yu, Jiaan Huang, Xin Hua, Hengjia Liu, Zhimian Ma, Zhen Wang, Zhijiang Du, Lining Sun   +8 more
wiley   +1 more source

Quantum Data-Driven Modeling of Interactions and Vibrational Spectral Bands in Cationic Light Noble-Gas Hydrides: [He₂H]⁺ and [Ne₂H]^. [PDF]

Molecules
Montes de Oca-Estévez MJ, Valdés Á, Prosmiti R.   +2 more
europepmc   +1 more source

Systems of reproducing kernels and their biorthogonal: completeness or incompleteness?

, 2010
Anton Baranov, Yurii Belov
openalex   +2 more sources

Highly Efficient Classification of Time‐Series Based on Resistive Switching Cluster‐Assembled Materials

Advanced Intelligent Systems, EarlyView.
Cluster‐assembled nanocomposite devices are employed for the classification of neuronal traces, without any preprocessing of the input time‐series or prior training of the nonlinear devices. The classification method relies on the statistical analysis of the device's output time‐series, achieving higher classification accuracy compared to more energy ...
Filippo Profumo, Francesca Borghi, Tommaso Angì, Marta Maschietto, Stefano Vassanelli, Paolo Milani   +5 more
wiley   +1 more source