AIMC Topic: Neural Networks, Computer

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Convolutional Neural Network-Based Deep Learning Engine for Mastoidectomy Instrument Recognition and Movement Tracking.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Mar 23, 2024
OBJECTIVE: To develop a convolutional neural network-based computer vision model to recognize and track 2 mastoidectomy surgical instruments-the drill and the suction-irrigator-from intraoperative video recordings of mastoidectomies.
Humans Neural Networks, Computer Deep Learning Mastoidectomy Cochlear Implantation Surgery, Computer-Assisted Mastoid Video Recording
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Discovery of Covalent Lead Compounds Targeting 3CL Protease with a Lateral Interactions Spiking Neural Network.

Journal of chemical information and modeling Mar 23, 2024
Covalent drugs exhibit advantages in that noncovalent drugs cannot match, and covalent docking is an important method for screening covalent lead compounds. However, it is difficult for covalent docking to screen covalent compounds on a large scale b...
Neural Networks, Computer Coronavirus 3C Proteases COVID-19 Humans COVID-19 Drug Treatment Drug Discovery SARS-CoV-2 Protease Inhibitors Deep Learning Molecular Docking Simulation Antiviral Agents Protein Binding
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Electronic eye and electronic tongue data fusion combined with a GETNet model for the traceability and detection of Astragalus.

Journal of the science of food and agriculture Mar 22, 2024
BACKGROUND: Astragalus is a widely used traditional Chinese medicine material that is easily confused due to its quality, price and other factors derived from different origins. This article describes a novel method for the rapid tracing and detectio...
Electronic Nose Neural Networks, Computer Drugs, Chinese Herbal Taste Astragalus Plant
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Optimization of computational intelligence approach for the prediction of glutinous rice dehydration.

Journal of the science of food and agriculture Mar 22, 2024
BACKGROUND: Five computational intelligence approaches, namely Gaussian process regression (GPR), artificial neural network (ANN), decision tree (DT), ensemble of trees (EoT) and support vector machine (SVM), were used to describe the evolution of mo...
Artificial Intelligence Water Neural Networks, Computer Bayes Theorem Support Vector Machine Decision Trees Oryza Dehydration
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Optimizing time prediction and error classification in early melanoma detection using a hybrid RCNN-LSTM model.

Microscopy research and technique Mar 22, 2024
Skin cancer is a terrifying disorder that affects all individuals. Due to the significant increase in the rate of melanoma skin cancer, early detection of skin cancer is now more critical than ever before. Malignant melanoma is one of the most seriou...
Humans Melanoma Skin Neoplasms Deep Learning Neural Networks, Computer Algorithms Skin Melanoma, Cutaneous Malignant Image Processing, Computer-Assisted Early Detection of Cancer
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Determination of minimum inhibitory concentrations using machine-learning-assisted agar dilution.

Microbiology spectrum Mar 22, 2024
UNLABELLED: Effective policy to address the global threat of antimicrobial resistance requires robust antimicrobial susceptibility data. Traditional methods for measuring minimum inhibitory concentration (MIC) are resource intensive, subject to human...
Enterobacteriaceae Agar Microbial Sensitivity Tests Escherichia coli Humans Machine Learning Anti-Bacterial Agents Neural Networks, Computer
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Automatic multi-view pose estimation in focused cardiac ultrasound.

Medical image analysis Mar 22, 2024
Focused cardiac ultrasound (FoCUS) is a valuable point-of-care method for evaluating cardiovascular structures and function, but its scope is limited by equipment and operator's experience, resulting in primarily qualitative 2D exams. This study pres...
Heart Humans Neural Networks, Computer Echocardiography Imaging, Three-Dimensional
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Encrypted Image Classification with Low Memory Footprint Using Fully Homomorphic Encryption.

International journal of neural systems Mar 22, 2024
Classifying images has become a straightforward and accessible task, thanks to the advent of Deep Neural Networks. Nevertheless, not much attention is given to the privacy concerns associated with sensitive data contained in images. In this study, we...
Computer Security Neural Networks, Computer Machine Learning
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LGGA-MPP: Local Geometry-Guided Graph Attention for Molecular Property Prediction.

Journal of chemical information and modeling Mar 22, 2024
Molecular property prediction is a fundamental task of drug discovery. With the rapid development of deep learning, computational approaches for predicting molecular properties are experiencing increasing popularity. However, these existing methods o...
Neural Networks, Computer Drug Discovery Deep Learning Models, Molecular
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Robust Deep Neural Network for Learning in Noisy Multi-Label Food Images.

Sensors (Basel, Switzerland) Mar 22, 2024
Deep networks can facilitate the monitoring of a balanced diet to help prevent various health problems related to eating disorders. Large, diverse, and clean data are essential for learning these types of algorithms. Although data can be collected au...
Learning Food Neural Networks, Computer Algorithms
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