AIMC Journal:
Scientific reports

Showing 1351 to 1360 of 5367 articles

Using deep learning and word embeddings for predicting human agreeableness behavior.

Scientific reports Dec 2, 2024
The latest advancements of deep learning have resulted in a new era of natural language processing. The machines now possess an unparallel ability to interpret and engage with various tasks such as text classification, content generation and natural ...
Social Media Natural Language Processing Humans Deep Learning Personality Algorithms
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Integrating graph and reinforcement learning for vaccination strategies in complex networks.

Scientific reports Dec 2, 2024
Pandemics like COVID-19 have a huge impact on human society and the global economy. Vaccines are effective in the fight against these pandemics but often in limited supplies, particularly in the early stages. Thus, it is imperative to distribute such...
Humans Neural Networks, Computer Pandemics COVID-19 Vaccines Vaccination SARS-CoV-2 Deep Learning COVID-19
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Accurate prediction of colorectal cancer diagnosis using machine learning based on immunohistochemistry pathological images.

Scientific reports Dec 2, 2024
Colorectal cancer (CRC) ranks as the third most prevalent tumor and the second leading cause of mortality. Early and accurate diagnosis holds significant importance in enhancing patient treatment and prognosis. Machine learning technology and bioinfo...
Humans Proteomics Colorectal Neoplasms Immunohistochemistry Support Vector Machine Biomarkers, Tumor Machine Learning Computational Biology Algorithms
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A few-shot diabetes foot ulcer image classification method based on deep ResNet and transfer learning.

Scientific reports Dec 2, 2024
Diabetes foot ulcer (DFU) is one of the common complications of diabetes patients, which may lead to infection, necrosis and even amputation. Therefore, early diagnosis, classification of severity and related treatment are crucial for the patients. C...
Diabetic Foot Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Enhanced forecasting of rice price and production in Malaysia using novel multivariate fuzzy time series models.

Scientific reports Dec 2, 2024
A significant portion of the world's population relies on rice as a primary source of nutrition. In Malaysia, rice production began in the early 1960s, which led to the cultivation of the country's most significant food crop up till the present day. ...
Humans Forecasting Oryza Fuzzy Logic Models, Economic Agriculture Malaysia Commerce
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A unique unsupervised enhanced intuitionistic fuzzy C-means for MR brain tissue segmentation.

Scientific reports Nov 30, 2024
The human-brain is a vital and complicated organ within the body. Identifying brain-related diseases can be challenging. Typically, Magnetic Resonance Imaging (MRI) scanning methods are used to gain insights of the protected regions in the body. Brai...
Magnetic Resonance Imaging Humans Fuzzy Logic Brain Brain Neoplasms Algorithms Image Processing, Computer-Assisted
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Predicting cortical-thalamic functional connectivity using functional near-infrared spectroscopy and graph convolutional networks.

Scientific reports Nov 30, 2024
Functional near-infrared spectroscopy (fNIRS) measures cortical hemodynamic changes, yet it cannot collect this information from subcortical structures, such as the thalamus, which is involved in several key functional networks. To address this drawb...
Young Adult Adult Male Female Infant, Newborn Neural Networks, Computer Humans Spectroscopy, Near-Infrared Machine Learning Cerebral Cortex Magnetic Resonance Imaging Brain Injuries Thalamus
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Machine learning analysis of the effects of COVID-19 on migration patterns.

Scientific reports Nov 30, 2024
This study investigates the impact of the COVID-19 pandemic on European tourist mobility patterns from 2019 to 2021 by conceptualizing countries as monomers emitting radiation to model and analyze their patterns through the lens of socio-economics an...
Socioeconomic Factors Europe Travel Pandemics COVID-19 SARS-CoV-2 Humans Machine Learning
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Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea.

Scientific reports Nov 30, 2024
This study aimed to develop and validate a machine learning (ML)-based model for predicting liposuction volumes in patients with obesity. This study used longitudinal cohort data from 2018 to 2023 from five nationwide centers affiliated with 365MC Li...
Humans Machine Learning Obesity Lipectomy Longitudinal Studies Adult Male Middle Aged Republic of Korea Female
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Lightweight convolutional neural network for chest X-ray images classification.

Scientific reports Nov 30, 2024
In this study, we developed a lightweight and rapid convolutional neural network (CNN) architecture for chest X-ray images; it primarily consists of a redesigned feature extraction (FE) module and multiscale feature (MF) module and validated using pu...
Pneumonia, Viral Image Processing, Computer-Assisted Radiography, Thoracic Pneumonia, Bacterial Databases, Factual SARS-CoV-2 Neural Networks, Computer Humans COVID-19
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