AIMC Journal:
Scientific reports

Showing 1251 to 1260 of 5366 articles

Utilising AI technique to identify depression risk among doctoral students.

Scientific reports Dec 30, 2024
The phenomenon that the depression risk among doctoral students is higher than that of other groups should not be ignored. Despite this, studies specifically addressing depression risk in doctoral students are relatively scarce, and existing findings...
Education, Graduate Adult Male Students Depression Humans Universities Neural Networks, Computer Artificial Intelligence Female Risk Factors
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Prediction of prognosis in patients with cerebral contusions based on machine learning.

Scientific reports Dec 30, 2024
Traumatic brain injury (TBI) is a global issue and a major cause of patient mortality, and cerebral contusions (CCs) is a common primary TBI. The haemorrhagic progression of a contusion (HPC) poses a significant risk to patients' lives, and effective...
Decision Trees Hematoma Brain Contusion Machine Learning Adolescent Algorithms ROC Curve Prognosis Adult Humans Female Male Aged Middle Aged Young Adult
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Wheat disease recognition method based on the SC-ConvNeXt network model.

Scientific reports Dec 30, 2024
When utilizing convolutional neural networks for wheat disease identification, the training phase typically requires a substantial amount of labeled data. However, labeling data is both complex and costly. Additionally, the model's recognition perfor...
Neural Networks, Computer Algorithms Triticum Plant Diseases
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Deep-learning-based extraction of circle of Willis topology with anatomical priors.

Scientific reports Dec 30, 2024
The circle of Willis (CoW) is a circular arrangement of arteries in the human brain, exhibiting significant anatomical variability. The CoW is extensively studied in relation to neurovascular pathologies, with certain anatomical variants previously l...
Humans Imaging, Three-Dimensional Circle of Willis Male Image Processing, Computer-Assisted Middle Aged Algorithms Magnetic Resonance Angiography Deep Learning Female
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On the improvement of schizophrenia detection with optical coherence tomography data using deep neural networks and aggregation functions.

Scientific reports Dec 30, 2024
Schizophrenia is a serious mental disorder with a complex neurobiological background and a well-defined psychopathological picture. Despite many efforts, a definitive disease biomarker has still not been identified. One of the promising candidates fo...
Retina Schizophrenia Male Deep Learning Female Tomography, Optical Coherence Adult Humans Neural Networks, Computer
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DeepGOMeta for functional insights into microbial communities using deep learning-based protein function prediction.

Scientific reports Dec 30, 2024
Analyzing microbial samples remains computationally challenging due to their diversity and complexity. The lack of robust de novo protein function prediction methods exacerbates the difficulty in deriving functional insights from these samples. Tradi...
Bacterial Proteins Microbiota Gene Ontology Computational Biology Proteins Software Deep Learning Bacteria
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Robust self management classification via sparse representation based discriminative model for mild cognitive impairment associated with diabetes mellitus.

Scientific reports Dec 30, 2024
Diabetes Mellitus combined with Mild Cognitive Impairment (DM-MCI) is a high incidence disease among the elderly. Patients with DM-MCI have considerably higher risk of dementia, whose daily self-care and life management (i.e. self-management) have a ...
Aged Self-Management Male Humans Machine Learning Female Cognitive Dysfunction Diabetes Mellitus
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Utilizing Artificial neural networks (ANN) to regulate Smart cities for sustainable Urban Development and Safeguarding Citizen rights.

Scientific reports Dec 30, 2024
The advent of smart cities has brought about a paradigm shift in urban management and citizen engagement. By leveraging technological advancements, cities are now able to collect and analyze extensive data to optimize service delivery, allocate resou...
Community Participation Privacy Sustainable Development Humans Computer Security Neural Networks, Computer Urban Renewal Cities
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Optimizing VGG16 deep learning model with enhanced hunger games search for logo classification.

Scientific reports Dec 30, 2024
Accurate classification of logos is a challenging task in image recognition due to variations in logo size, orientation, and background complexity. Deep learning models, such as VGG16, have demonstrated promising results in handling such tasks. Howev...
Algorithms Deep Learning Hunger Humans Neural Networks, Computer
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Attention-guided convolutional network for bias-mitigated and interpretable oral lesion classification.

Scientific reports Dec 30, 2024
Accurate diagnosis of oral lesions, early indicators of oral cancer, is a complex clinical challenge. Recent advances in deep learning have demonstrated potential in supporting clinical decisions. This paper introduces a deep learning model for class...
Image Processing, Computer-Assisted Bias Mouth Neoplasms Humans Neural Networks, Computer Deep Learning
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