AIMC Topic: Neural Networks, Computer

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scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling.

Biology direct May 27, 2025
BACKGROUND: Single-cell RNA sequencing (scRNA-Seq) technology reveals biological processes and molecular-level genomic information among individual cells. Numerous computational methods, including methods based on graph neural networks (GNNs), have b...
Autoencoder Single-Cell Analysis RNA-Seq Single-Cell Gene Expression Analysis Sequence Analysis, RNA Software Algorithms Humans Neural Networks, Computer
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A hybrid explainable federated-based vision transformer framework for breast cancer prediction via risk factors.

Scientific reports May 27, 2025
Breast cancer remains a leading cause of mortality in women, underscoring the need for timely and accurate diagnosis. This paper addresses this challenge by introducing a comprehensive explainable federated learning framework for breast cancer predic...
Neural Networks, Computer Artificial Intelligence Humans Breast Neoplasms Deep Learning Female Risk Factors
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Image key information processing using convolutional neural network and rotational invariant-hierarchical max pooling algorithm.

PloS one May 27, 2025
In the information age, the effectiveness of image processing determines the quality of a large number of image analysis tasks. A fusion algorithm-based processing technique was proposed to process key image information. A feature dictionary was intr...
Convolutional Neural Networks Neural Networks, Computer Image Processing, Computer-Assisted Humans Algorithms
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Improving brain tumor diagnosis: A self-calibrated 1D residual network with random forest integration.

Brain research May 26, 2025
Medical specialists need to perform precise MRI analysis for accurate diagnosis of brain tumors. Current research has developed multiple artificial intelligence (AI) techniques for the process automation of brain tumor identification. However, existi...
Neural Networks, Computer Artificial Intelligence Humans Magnetic Resonance Imaging Random Forest Reproducibility of Results Brain Neoplasms
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Substrate Activation Efficiency in Active Sites of Hydrolases Determined by QM/MM Molecular Dynamics and Neural Networks.

International journal of molecular sciences May 26, 2025
The active sites of enzymes are able to activate substrates and perform chemical reactions that cannot occur in solutions. We focus on the hydrolysis reactions catalyzed by enzymes and initiated by the nucleophilic attack of the substrate's carbonyl ...
Substrate Specificity Quantum Theory Hydrolysis Catalytic Domain Hydrolases Neural Networks, Computer Molecular Dynamics Simulation
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High-fidelity in silico generation and augmentation of TCR repertoire data using generative adversarial networks.

Scientific reports May 26, 2025
Engineered T-cell receptor (eTCR) systems rely on accurately generated T-cell receptor (TCR) sequences to enhance immunotherapy predictability and efficacy. The most variable and crucial part of the TCR receptor is the CDR3 sequence region. Current m...
Receptors, Antigen, T-Cell Neural Networks, Computer Generative Adversarial Networks Complementarity Determining Regions Humans Computer Simulation
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Prediction of reproductive and developmental toxicity using an attention and gate augmented graph convolutional network.

Scientific reports May 25, 2025
Due to the diverse molecular structures of chemical compounds and their intricate biological pathways of toxicity, predicting their reproductive and developmental toxicity remains a challenge. Traditional Quantitative Structure-Activity Relationship ...
Quantitative Structure-Activity Relationship Computer Simulation Animals Deep Learning Reproduction Humans Neural Networks, Computer
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Overlapping community detection via Layer-Jaccard similarity incorporated nonnegative matrix factorization.

Neural networks : the official journal of the International Neural Network Society May 24, 2025
As information modernization progresses, the connections between entities become more elaborate, forming more intricate networks. Consequently, the emphasis on community detection has transitioned from discerning disjoint communities towards the iden...
Algorithms Humans Neural Networks, Computer
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DiverseReID: Towards generalizable person re-identification via Dynamic Style Hallucination and decoupled domain experts.

Neural networks : the official journal of the International Neural Network Society May 24, 2025
Person re-identification (re-ID) models often fail to generalize well when deployed to other camera networks with domain shift. A classical domain generalization (DG) solution is to enhance the diversity of source data so that a model can learn more ...
Biometric Identification Humans Neural Networks, Computer
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Mobile applications for skin cancer detection are vulnerable to physical camera-based adversarial attacks.

Scientific reports May 24, 2025
Skin cancer is one of the most prevalent malignant tumors, and early detection is crucial for patient prognosis, leading to the development of mobile applications as screening tools. Recent advances in deep neural networks (DNNs) have accelerated the...
Neural Networks, Computer Computer Security Humans Photography Skin Neoplasms Melanoma Mobile Applications
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