Results 241 to 250 of about 111,097 (310)

Label-aware distance mitigates temporal and spatial variability for clustering and visualization of single-cell gene expression data. [PDF]

Commun Biol
Liang S, Dou J, Iqbal R, Chen K.
europepmc   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

Multi-view Outlier Detection based on Structured High-order Heat Kernel Diffusion and Distribution Discrepancy

Jinyan Cao, Zhuoyan Zhang, Tingting Liu, Shilin Huang, Yuxiang Huang, Siqi Liang, Lan Yang, Jiaxi Wang   +7 more
openalex   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

The WB-Bridge Principle: A Meaning-Preserving Kernel–Spectral Unification (Supplementing the Structural–Axiomatic Proof of the Riemann Hypothesis)

Takahashi, Takashi
openalex   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Yang–Mills Mass Gap from the Generative Kernel: Confinement as Coherence Collapse Below the Genesis Threshold

Svancara, Clinton
openalex   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source

Artificial neural networks fighting real neural decline: a systematic review of AI in Alzheimer's research. [PDF]

Artif Intell Rev
Mou FS, Ahmed T, Huda MN, Nandi AK.
europepmc   +1 more source

The Fractal Information Nadsoliton: From Quarks to Cosmos: A Unified Theory of Emergent Physics Based on the Zero-Parameter Single Fractal Hydrodynamic Kernel - WORKING

Żuchowski, Krzysztof
openalex   +1 more source