Results 281 to 290 of about 1,355,808 (351)

Quantum Entanglement Filtering: A PET feasibility study in imaging dual-positron and prompt gamma emission via Monte Carlo simulation. [PDF]

IEEE Trans Radiat Plasma Med Sci
Romanchek G, Shoop G, Gholami K, Enlow E, Abbaszadeh S.   +4 more
europepmc   +1 more source

Spatial entanglement of twin quantum images [PDF]

, 2001
Patrick Navez, E. Brambilla, A. Gatti, L. A. Lugiato   +3 more
openalex   +1 more source

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

Multi‐Distance Spatial‐Temporal Graph Neural Network for Anomaly Detection in Blockchain Transactions

Advanced Intelligent Systems, EarlyView.
This paper presents a novel Multi‐Distance Spatial‐Temporal Graph Neural Network for detecting anomalies in blockchain transactions. The model combines multi‐distance graph convolutions with adaptive temporal modeling to capture complex patterns in anonymized cryptocurrency networks.
Shiyang Chen, Yang Liu, Qun Zhang, Zhouhang Shao, Zewei Wang   +4 more
wiley   +1 more source

Quantum entanglement in the NMR implementation of the Deutsch-Jozsa algorithm [PDF]

, 2001
Arvind Arvind, Kavita Dorai, Anil Kumar
openalex   +1 more source

Assessing Large Multimodal Models for One‐Shot Learning and Interpretability in Biomedical Image Classification

Advanced Intelligent Systems, EarlyView.
Image classification plays a pivotal role in biomedical image analysis. Herein, it is shown that large multimodal models, such as GPT‐4, achieve superior performance in one‐shot learning, generalization, interpretability, and text‐driven image classification. Applications span tissue, cell type, cellular state, and disease classification, outperforming
Wenpin Hou, Qi Liu, Huifang Ma, Yilong Qu, Zhicheng Ji   +4 more
wiley   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source

Enhanced Actuation Stress in Variable Stiffness Liquid Crystal Elastomers

Advanced Intelligent Systems, EarlyView.
Liquid crystal elastomers (LCEs) filled with low‐melting‐point alloy particles exhibit a fivefold increase in actuation stress and tunable stiffness. At low filler concentrations, mechanically enhanced network entropy boosts force output, while higher concentrations enable variable stiffness. This composite design mimics muscle‐like behavior, advancing
Sophia Eristoff, Lina Sanchez‐Botero, Rebecca Kramer‐Bottiglio   +2 more
wiley   +1 more source

Autofluorescence Imaging and Virtual Histological Staining of Human Prostate Sections for Cancer Diagnosis

Advanced Intelligent Systems, EarlyView.
Autofluorescence imaging with virtual histological staining streamlines postoperative histopathology. Using a deep ultraviolet light‐emitting diode (LED)‐based imaging system and a weakly supervised deep learning model, virtual hematoxylin and eosin (H&E)‐stained images are generated from the autofluorescence of prostate tissue. Pathologist evaluations
Mingxuan Si, Weixing Dai, Ivy H. M. Wong, Yan Zhang, Tony K. F. Ma, Ping Wing Ng, Kwok Hung Li, Sylvia M. S. Wong, John H. K. Ngan, Terence T. W. Wong   +9 more
wiley   +1 more source

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

Advanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu, Jingcheng Yang, Xiaofei Li, Zhijie Zheng, Georgi Z. Genchev, Yuchen Ye, Liang Liu, Zihan Ran   +7 more
wiley   +1 more source