AIMC Journal:
Scientific reports

Showing 721 to 730 of 5345 articles

Accuracy of deep learning models in the detection of accessory ostium in coronal cone beam computed tomographic images.

Scientific reports Mar 10, 2025
Accessory ostium [AO] is one of the important anatomical variations in the maxillary sinus. AO is often associated with sinus pathology. Radiographic imaging plays a very important role in the detection of AO. Deep learning models have been used in m...
Maxillary Sinus Humans Deep Learning Cone-Beam Computed Tomography Image Processing, Computer-Assisted
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Leveraging large language models for knowledge-free weak supervision in clinical natural language processing.

Scientific reports Mar 10, 2025
The performance of deep learning-based natural language processing systems is based on large amounts of labeled training data which, in the clinical domain, are not easily available or affordable. Weak supervision and in-context learning offer partia...
Humans Language Deep Learning Natural Language Processing Large Language Models
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Application and design of a decision-making model in ethical dilemma for self-driving cars.

Scientific reports Mar 10, 2025
Artificial intelligence (AI) has promoted application and development of self-driving cars. However, when self-driving cars encounter ethical dilemma, it is still hard to make a satisficing and clear decision-making by these present moral rules and m...
Humans Artificial Intelligence Automobiles Bayes Theorem Automobile Driving Models, Theoretical Ethical Dilemmas Decision Making
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Precision soil sampling strategy for the delineation of management zones in olive cultivation using unsupervised machine learning methods.

Scientific reports Mar 10, 2025
Climate change and environmental degradation pose a significant threat to the global community. Soil management is one of the critical factors for achieving climate neutrality, as plants and soils together currently absorb approximately 30% of the CO...
Cluster Analysis Unsupervised Machine Learning Principal Component Analysis Olea Soil Agriculture Climate Change Greece
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Pixel level deep reinforcement learning for accurate and robust medical image segmentation.

Scientific reports Mar 10, 2025
Existing deep learning methods have achieved significant success in medical image segmentation. However, this success largely relies on stacking advanced modules and architectures, which has created a path dependency. This path dependency is unsustai...
Deep Learning Image Processing, Computer-Assisted Reinforcement Machine Learning Humans Algorithms
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A multi-dilated convolution network for speech emotion recognition.

Scientific reports Mar 10, 2025
Speech emotion recognition (SER) is an important application in Affective Computing and Artificial Intelligence. Recently, there has been a significant interest in Deep Neural Networks using speech spectrograms. As the two-dimensional representation ...
Emotions Deep Learning Speech Neural Networks, Computer Algorithms Humans
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Elucidating the role of KCTD10 in coronary atherosclerosis: Harnessing bioinformatics and machine learning to advance understanding.

Scientific reports Mar 10, 2025
Atherosclerosis (AS) is increasingly recognized as a chronic inflammatory disease that significantly compromises vascular health and serves as a major contributor to cardiovascular diseases. KCTD10, a protein implicated in a variety of biological pro...
Coronary Artery Disease Potassium Channels, Voltage-Gated Computational Biology Databases, Genetic Humans Machine Learning Gene Expression Profiling
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Vision Mamba and xLSTM-UNet for medical image segmentation.

Scientific reports Mar 10, 2025
Deep learning-based medical image segmentation methods are generally divided into convolutional neural networks (CNNs) and Transformer-based models. Traditional CNNs are limited by their receptive field, making it challenging to capture long-range de...
Algorithms Deep Learning Humans Neural Networks, Computer Image Processing, Computer-Assisted
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Integrated fusion approach for multi-class heart disease classification through ECG and PCG signals with deep hybrid neural networks.

Scientific reports Mar 8, 2025
Detection and classification of cardiovascular diseases are crucial for early diagnosis and prediction of heart-related conditions. Existing methods rely on either electrocardiogram or phonocardiogram signals, resulting in higher false positive rates...
Electrocardiography Humans Neural Networks, Computer Heart Diseases Signal Processing, Computer-Assisted Algorithms Phonocardiography
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PM concentration prediction using machine learning algorithms: an approach to virtual monitoring stations.

Scientific reports Mar 8, 2025
One of the most important pollutants is PM, which is particularly important to monitor pollutant levels to keep the pollutant concentration under control. In this research, an attempt has been made to predict the concentrations of PM using four Machi...
COVID-19 Air Pollutants SARS-CoV-2 Algorithms Air Pollution Humans Environmental Monitoring Particulate Matter Machine Learning
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