AIMC Topic: Neural Networks, Computer

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Enhancing image-based virtual try-on with Multi-Controlled Diffusion Models.

Neural networks : the official journal of the International Neural Network Society May 23, 2025
Image-based virtual try-on technology digitally overlays clothing onto images of individuals, enabling users to preview how garments fit without physical trial, thus enhancing the online shopping experience. While current diffusion-based virtual try-...
User-Computer Interface Virtual Reality Humans Clothing Neural Networks, Computer Image Processing, Computer-Assisted Pattern Recognition, Automated
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HGMSurvNet: A two-stage hypergraph learning network for multimodal cancer survival prediction.

Medical image analysis May 23, 2025
Cancer survival prediction based on multimodal data (e.g., pathological slides, clinical records, and genomic profiles) has become increasingly prevalent in recent years. A key challenge of this task is obtaining an effective survival-specific global...
Humans Neural Networks, Computer Prognosis Machine Learning Neoplasms
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Automated depression detection via cloud based EEG analysis with transfer learning and synchrosqueezed wavelet transform.

Scientific reports May 23, 2025
Post-COVID-19, depression rates have risen sharply, increasing the need for early diagnosis using electroencephalogram (EEG) and deep learning. To tackle this, we developed a cloud-based computer-aided depression diagnostic (CCADD) system that utiliz...
Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Humans Depressive Disorder, Major Neural Networks, Computer SARS-CoV-2 Wavelet Analysis Depression Cloud Computing COVID-19 Adult Electroencephalography Female
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ASLDetect: Arabic sign language detection using ResNet and U-Net like component.

Scientific reports May 23, 2025
Sign languages are essential for communication among over 430 million deaf and hard-of-hearing individuals worldwide. However, recognizing Arabic Sign Language (ArSL) in real-world settings remains challenging due to issues like background noise, lig...
Neural Networks, Computer Algorithms Sign Language Gestures Humans
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Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells.

PLoS computational biology May 23, 2025
Deep learning-based methods for identifying and tracking cells within microscopy images have revolutionized the speed and throughput of data analysis. These methods for analyzing biological and medical data have capitalized on advances from the broad...
Computational Biology Microscopy Cell Tracking Cell Division Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans
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Quantifying the roles of visual, linguistic, and visual-linguistic complexity in noun and verb acquisition.

PloS one May 23, 2025
Children often learn the meanings of nouns before they grasp the meanings of verbs. This discrepancy could arise from differences in the complexity of visual characteristics for categories that language describes, the inherent structure of language, ...
Learning Female Male Neural Networks, Computer Language Language Development Child, Preschool Linguistics Humans
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An intelligent framework for crop health surveillance and disease management.

PloS one May 23, 2025
The agricultural sector faces critical challenges, including significant crop losses due to undetected plant diseases, inefficient monitoring systems, and delays in disease management, all of which threaten food security worldwide. Traditional approa...
Humans Neural Networks, Computer Plant Diseases Cloud Computing Internet of Things Deep Learning Crops, Agricultural Agriculture
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A study on phonemes recognition method for Mandarin pronunciation based on improved Zipformer-RNN-T(Pruned) modeling.

PloS one May 23, 2025
In recent years, empowered by artificial intelligence technologies, computer-assisted language learning systems have gradually become a hot topic of research. Currently, the mainstream pronunciation assessment models rely on advanced speech recogniti...
China Neural Networks, Computer Speech Recognition Software Artificial Intelligence Phonetics Humans Algorithms Language
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Detecting eavesdropping nodes in the power Internet of Things based on Kolmogorov-Arnold networks.

PloS one May 23, 2025
The rapid proliferation of the Power Internet of Things (PIoT) has given rise to severe network security threats, with eavesdropping attacks emerging as a paramount concern. Traditional eavesdropping detection methods struggle to adapt to complex and...
Neural Networks, Computer Computer Simulation Internet of Things Algorithms Computer Security
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Decoding split-frequency representation for cross-scale tracking.

Neural networks : the official journal of the International Neural Network Society May 22, 2025
Learning tailored target representations for tracking is a promising direction in visual object tracking. Most state-of-the-art methods utilize autoencoders to generate representations by reconstructing the target's appearance. However, these reconst...
Algorithms Humans Neural Networks, Computer Image Processing, Computer-Assisted
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