AIMC Journal:
Scientific reports

Showing 821 to 830 of 5361 articles

Deeply supervised two stage generative adversarial network for stain normalization.

Scientific reports Feb 27, 2025
The color variations present in histopathological images pose a significant challenge to computational pathology and, consequently, negatively affect the performance of certain pathological image analysis methods, especially those based on deep learn...
Algorithms Humans Deep Learning Staining and Labeling Neural Networks, Computer Image Processing, Computer-Assisted Generative Adversarial Networks
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Improving ALS detection and cognitive impairment stratification with attention-enhanced deep learning models.

Scientific reports Feb 27, 2025
Amyotrophic lateral sclerosis (ALS) is a fatal neurological disease marked by motor deterioration and cognitive decline. Early diagnosis is challenging due to the complexity of sporadic ALS and the lack of a defined risk population. In this study, we...
Male Neuroimaging Middle Aged Deep Learning Female Aged Attention Frontotemporal Dementia Early Diagnosis Humans Cognitive Dysfunction Neural Networks, Computer Amyotrophic Lateral Sclerosis Brain
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Using machine learning to predict deterioration of symptoms in COPD patients within a telemonitoring program.

Scientific reports Feb 27, 2025
COPD exacerbations have a profound clinical impact on patients. Accurately predicting these events could help healthcare professionals take proactive measures to mitigate their impact. For over a decade, telEPOC, a telehealthcare program, has collect...
Aged Pulmonary Disease, Chronic Obstructive Middle Aged Disease Progression Male Machine Learning Algorithms Female Humans Telemedicine
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Detection of human activities using multi-layer convolutional neural network.

Scientific reports Feb 27, 2025
Human Activity Recognition (HAR) plays a critical role in fields such as healthcare, sports, and human-computer interaction. However, achieving high accuracy and robustness remains a challenge, particularly when dealing with noisy sensor data from ac...
Human Activities Neural Networks, Computer Algorithms Humans Convolutional Neural Networks
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Development and validation of a machine learning approach for screening new leprosy cases based on the leprosy suspicion questionnaire.

Scientific reports Feb 26, 2025
Leprosy is a dermatoneurological disease and can cause irreversible nerve damage. In addition to being able to mimic different rheumatological, neurological and dermatological diseases, leprosy is underdiagnosed because several professionals present ...
Mass Screening Leprosy Middle Aged Sensitivity and Specificity Male Surveys and Questionnaires ROC Curve Humans Female Machine Learning Adult
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Combining an improved political optimizer with convolutional neural networks for accurate anterior cruciate ligament tear detection in sports injuries.

Scientific reports Feb 26, 2025
A new technique has been developed to identify ACL tears in sports injuries. This method utilizes a Convolutional Neural Network (CNN) in combination with a modified Political Optimizer (IPO) algorithm, resulting in a major breakthrough in detecting ...
Convolutional Neural Networks Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Female Male Athletic Injuries Neural Networks, Computer Algorithms Humans
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SmartAPM framework for adaptive power management in wearable devices using deep reinforcement learning.

Scientific reports Feb 26, 2025
Wearable devices face a significant challenge in balancing battery life with performance, often leading to frequent recharging and reduced user satisfaction. In this paper, we introduce the SmartAPM (Smart Adaptive Power Management) framework, a nove...
Algorithms Deep Learning Wearable Electronic Devices Humans Electric Power Supplies Reinforcement Machine Learning
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An intelligent network framework for driver distraction monitoring based on RES-SE-CNN.

Scientific reports Feb 26, 2025
As the quantity of motor vehicles and drivers experiences a continuous upsurge, the road driving environment has grown progressively more complex. This complexity has led to a concomitant increase in the probability of traffic accidents. Ample resear...
Humans Automobile Driving Neural Networks, Computer Distracted Driving Accidents, Traffic
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A labeled medical records corpus for the timely detection of rare diseases using machine learning approaches.

Scientific reports Feb 26, 2025
Rare diseases (RDs) are a group of pathologies that individually affect less than 1 in 2000 people but collectively impact around 7% of the world's population. Most of them affect children, are chronic and progressive, and have no specific treatment....
Rare Diseases Support Vector Machine Medical Records Machine Learning Humans Deep Learning
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Modelling of pome fruit pollen performance using machine learning.

Scientific reports Feb 26, 2025
Agriculture, particularly fruit production, is considered a crucial industry with a significant economic impact in many countries. Extreme fluctuations in air temperature can negatively affect the flowering periods of fruit species. Therefore, it is ...
Neural Networks, Computer Machine Learning Citrus Pollen Pollen Tube Germination Fruit Temperature
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