AIMC Topic: Electric Power Supplies

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Small object detection algorithm incorporating swin transformer for tea buds.

PloS one Mar 21, 2024
Accurate identification of small tea buds is a key technology for tea harvesting robots, which directly affects tea quality and yield. However, due to the complexity of the tea plantation environment and the diversity of tea buds, accurate identifica...
Neural Networks, Computer Algorithms Tea Generalization, Psychological Electric Power Supplies
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Advancing mortality rate prediction in European population clusters: integrating deep learning and multiscale analysis.

Scientific reports Mar 15, 2024
Accurately predicting population mortality rates is crucial for effective retirement insurance and economic policy formulation. Recent advancements in deep learning time series forecasting (DLTSF) have led to improved mortality rate predictions compa...
Humans Databases, Factual Europe Electric Power Supplies Deep Learning Cluster Analysis
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Application of machine learning-based read-across structure-property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye-sensitized solar cells (DSSCs).

Molecular informatics Feb 19, 2024
The application of various in-silico-based approaches for the prediction of various properties of materials has been an effective alternative to experimental methods. Recently, the concepts of Quantitative structure-property relationship (QSPR) and r...
Electric Power Supplies Solar Energy Quantitative Structure-Activity Relationship Coloring Agents Machine Learning
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Transformer Models in Healthcare: A Survey and Thematic Analysis of Potentials, Shortcomings and Risks.

Journal of medical systems Feb 17, 2024
Large Language Models (LLMs) such as General Pretrained Transformer (GPT) and Bidirectional Encoder Representations from Transformers (BERT), which use transformer model architectures, have significantly advanced artificial intelligence and natural l...
Documentation Electric Power Supplies Physician-Patient Relations Humans Artificial Intelligence Language
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MAEF-Net: MLP Attention for Feature Enhancement in U-Net based Medical Image Segmentation Networks.

IEEE journal of biomedical and health informatics Feb 5, 2024
Medical image segmentation plays an important role in diagnosis. Since the introduction of U-Net, numerous advancements have been implemented to enhance its performance and expand its applicability. The advent of Transformers in computer vision has l...
Image Processing, Computer-Assisted Natural Language Processing Humans Neural Networks, Computer Electric Power Supplies
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CellT-Net: A Composite Transformer Method for 2-D Cell Instance Segmentation.

IEEE journal of biomedical and health informatics Feb 5, 2024
Cell instance segmentation (CIS) via light microscopy and artificial intelligence (AI) is essential to cell and gene therapy-based health care management, which offers the hope of revolutionary health care. An effective CIS method can help clinicians...
Somatostatin-Secreting Cells Image Processing, Computer-Assisted Microscopy Entropy Electric Power Supplies Humans Artificial Intelligence
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Artificial intelligence model GPT4 narrowly fails simulated radiological protection exam.

Journal of radiological protection : official journal of the Society for Radiological Protection Jan 29, 2024
This study assesses the efficacy of Generative Pre-Trained Transformers (GPT) published by OpenAI in the specialised domains of radiological protection and health physics. Utilising a set of 1064 surrogate questions designed to mimic a health physics...
Electric Power Supplies Radiation Protection Health Physics Humans Artificial Intelligence
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Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study.

JMIR medical education Dec 28, 2023
BACKGROUND: Large language models, such as ChatGPT, are capable of generating grammatically perfect and human-like text content, and a large number of ChatGPT-generated texts have appeared on the internet. However, medical texts, such as clinical not...
Disinformation Health Facilities Algorithms Humans Electric Power Supplies Artificial Intelligence
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GPDRP: a multimodal framework for drug response prediction with graph transformer.

BMC bioinformatics Dec 17, 2023
BACKGROUND: In the field of computational personalized medicine, drug response prediction (DRP) is a critical issue. However, existing studies often characterize drugs as strings, a representation that does not align with the natural description of m...
RNA Electric Power Supplies Cell Line Neural Networks, Computer Humans Precision Medicine
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A knowledge-guided pre-training framework for improving molecular representation learning.

Nature communications Nov 21, 2023
Learning effective molecular feature representation to facilitate molecular property prediction is of great significance for drug discovery. Recently, there has been a surge of interest in pre-training graph neural networks (GNNs) via self-supervised...
Drug Discovery Artificial Intelligence Hydrolases Anti-HIV Agents Electric Power Supplies
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