AIMC Topic: Neural Networks, Computer

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Enhancing beer authentication, quality, and control assessment using non-invasive spectroscopy through bottle and machine learning modeling.

Journal of food science Jan 1, 2025
Fraud in alcoholic beverages through counterfeiting and adulteration is rising, significantly impacting companies economically. This study aimed to develop a method using near-infrared (NIR) spectroscopy (1596-2396 nm) through the bottle, along with ...
Beer Machine Learning Taste Gas Chromatography-Mass Spectrometry Fermentation Volatile Organic Compounds Quality Control Spectroscopy, Near-Infrared Food Contamination Humans Neural Networks, Computer
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The development of deep convolutional generative adversarial network to synthesize odontocetes' clicks.

The Journal of the Acoustical Society of America Jan 1, 2025
Odontocetes are capable of dynamically changing their echolocation clicks to efficiently detect targets, and learning their clicking strategy can facilitate the design of man-made detecting signals. In this study, we developed deep convolutional gene...
Generative Adversarial Networks Porpoises Bottle-Nosed Dolphin Animals Vocalization, Animal Acoustics Neural Networks, Computer Echolocation Sound Spectrography Deep Learning Signal Processing, Computer-Assisted
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A Novel Ensemble Approach for Rib Fracture Detection and Visualization using CNNs and Grad-CAM.

Annali italiani di chirurgia Jan 1, 2025
AIM: This study aimed to develop a reliable and efficient system for predicting and locating rib fractures in medical images using an ensemble of convolutional neural networks (CNNs).
Tomography, X-Ray Computed Male Humans Neural Networks, Computer Rib Fractures
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Comparison of Different Machine Learning Methodologies for Predicting the Non-Specific Treatment Response in Placebo Controlled Major Depressive Disorder Clinical Trials.

Clinical and translational science Jan 1, 2025
Placebo effect represents a serious confounder for the assessment of treatment effect to the extent that it has become increasingly difficult to develop antidepressant medications appropriate for outperforming placebo. Treatment effect in randomized,...
Neural Networks, Computer Placebos Randomized Controlled Trials as Topic Depressive Disorder, Major Machine Learning Placebo Effect Humans Predictive Value of Tests Treatment Outcome Antidepressive Agents
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A Deep Learning and PSSM Profile Approach for Accurate SNARE Protein Prediction.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
SNARE proteins play a pivotal role in membrane fusion and various cellular processes. Accurate identification of SNARE proteins is crucial for elucidating their functions in both health and disease contexts. This chapter presents a novel approach emp...
SNARE Proteins Databases, Protein Position-Specific Scoring Matrices Humans Deep Learning Neural Networks, Computer Computational Biology
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Enhancing Molecular Network-Based Cancer Driver Gene Prediction Using Machine Learning Approaches: Current Challenges and Opportunities.

Journal of cellular and molecular medicine Jan 1, 2025
Cancer is a complex disease driven by mutations in the genes that play critical roles in cellular processes. The identification of cancer driver genes is crucial for understanding tumorigenesis, developing targeted therapies and identifying rational ...
Mutation Oncogenes Machine Learning Neoplasms Gene Regulatory Networks Computational Biology Protein Interaction Maps Humans Neural Networks, Computer
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Regression study on fruit-setting days of purple eggplant fruit based on in situ VIS-NIRS and attention cycle neural network.

Journal of food science Jan 1, 2025
In the intelligent harvesting of eggplant, the lack of in situ identification technology makes it challenging to determine the maturity of purple eggplant fruit. The length of the fruit-setting date can determine when the eggplant is ready to be harv...
Neural Networks, Computer Spectroscopy, Near-Infrared Regression Analysis Fruit Solanum melongena
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A Topology-Enhanced Multi-Viewed Contrastive Approach for Molecular Graph Representation Learning and Classification.

Molecular informatics Jan 1, 2025
In recent times, graph representation learning has been becoming a hot research topic which has attracted a lot of attention from researchers. Graph embeddings have diverse applications across fields such as information and social network analysis, b...
Neural Networks, Computer Machine Learning Algorithms Deep Learning Computational Biology
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SVMVGGNet-16: A Novel Machine and Deep Learning Based Approaches for Lung Cancer Detection Using Combined SVM and VGGNet-16.

Current medical imaging Jan 1, 2025
BACKGROUND AND OBJECTIVE: Lung cancer remains a leading cause of cancer-related mortality worldwide, necessitating early and accurate detection methods. Our study aims to enhance lung cancer detection by integrating VGGNet-16 form of Convolutional Ne...
Reproducibility of Results Humans Lung Neoplasms Deep Learning Neural Networks, Computer Support Vector Machine Convolutional Neural Networks Tomography, X-Ray Computed
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Estimation of Central Aortic Pressure Waveforms by Combination of a Meta-Learning Neural Network and a Physics-Driven Method.

International journal for numerical methods in biomedical engineering Jan 1, 2025
The accurate non-invasive detection and estimation of central aortic pressure waveforms (CAPW) are crucial for reliable treatments of cardiovascular system diseases. But the accuracy and practicality of current estimation methods need to be improved....
Machine Learning Algorithms Female Arterial Pressure Humans Middle Aged Cardiac Output Male Neural Networks, Computer Heart Rate Aorta
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