Results 211 to 220 of about 115,711 (260)

Identification of Missing Knowledge in MBSE System Models Using Graph‐Based Machine Learning

Systems Engineering, EarlyView.
ABSTRACT The design and development of complex aerospace systems pose significant challenges due to their growing complexity. Iterative design processes, guided by formal specifications, strive to refine initially vague characteristics through multiple stages.
Esma Karagoz, Olivia J. Pinon Fischer, Dimitri Mavris   +2 more
wiley   +1 more source

A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network. [PDF]

IEEE J Biomed Health Inform
Rico JC, Alaeddini A, Faruqui SHA, Fisher-Hoch SP, Mccormick JB.   +4 more
europepmc   +1 more source

Combined Transcriptomic and Proteomic Forecast Analyses for Potential Biomarkers of Smoking‐Induced Benign and Malignant Transformation of Vocal Fold Lesions

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective Laryngeal dysplasia and Reinke's edema (RE) are common vocal fold lesions associated with smoking. While the former is cancer prone, most cases of the latter do not undergo malignant transformation. Therefore, we proposed identifying biomarkers of smoking‐induced benign‐malignant transformation of vocal fold lesions.
Yun‐Yi Liu, Pei‐Yun Zhuang
wiley   +1 more source

GRAPE: graph-regularized protein language modeling unlocks TCR-epitope binding specificity. [PDF]

Brief Bioinform
Fu X, Peng L, Chen H, Rong M, Chen Y, Cao D, Yuan S, Lu A.   +7 more
europepmc   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

Artificial intelligence technology for the ethical issues research from a Marxist perspective under deep learning. [PDF]

Sci Rep
Zhang E, Wang D.
europepmc   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Quantum-entangled neuro-symbolic swarm federation for privacy-preserving IoMT-driven multimodal healthcare. [PDF]

Sci Rep
Ben Othman S, Ali O.
europepmc   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

Autoencoder-like Sparse Non-Negative Matrix Factorization with Structure Relationship Preservation. [PDF]

Entropy (Basel)
Zhong L, Gao H.
europepmc   +1 more source