AIMC Topic: Algorithms

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Predicting outcomes following open abdominal aortic aneurysm repair using machine learning.

Scientific reports Apr 24, 2025
Patients undergoing open surgical repair of abdominal aortic aneurysm (AAA) have a high risk of post-operative complications. However, there are no widely used tools to predict surgical risk in this population. We used machine learning (ML) technique...
Algorithms Female Aged Male Risk Factors Postoperative Complications Humans Treatment Outcome Machine Learning Aortic Aneurysm, Abdominal Middle Aged Risk Assessment
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Variational mode directed deep learning framework for breast lesion classification using ultrasound imaging.

Scientific reports Apr 24, 2025
Breast cancer is the most prevalent cancer and the second cause of cancer related death among women in the United States. Accurate and early detection of breast cancer can reduce the number of mortalities. Recent works explore deep learning technique...
Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Ultrasonography, Mammary Humans Breast Neural Networks, Computer Female Breast Neoplasms Deep Learning Algorithms Ultrasonography
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Identification and verification of mitochondria-related genes biomarkers associated with immune infiltration for COPD using WGCNA and machine learning algorithms.

Scientific reports Apr 24, 2025
Mitochondrial dysfunction plays a pivotal role in the pathogenesis of chronic obstructive pulmonary disease (COPD). This study combines bioinformatics analysis with machine learning to elucidate potential key mitochondrial-related genes associated wi...
Gene Expression Profiling Gene Regulatory Networks Mice Pulmonary Disease, Chronic Obstructive Animals Mitochondria Computational Biology Genes, Mitochondrial Humans Algorithms Biomarkers Machine Learning
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SS-EMERGE - self-supervised enhancement for multidimension emotion recognition using GNNs for EEG.

Scientific reports Apr 24, 2025
Self-supervised learning (SSL) is a potent method for leveraging unlabelled data. Nonetheless, EEG signals, characterised by their low signal-to-noise ratio and high-frequency attributes, often do not surpass fully-supervised techniques in cross-subj...
Humans Neural Networks, Computer Supervised Machine Learning Electroencephalography Algorithms Emotions
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Multimodal representations of transfer learning with snake optimization algorithm on bone marrow cell classification using biomedical histopathological images.

Scientific reports Apr 24, 2025
Bone marrow (BM) plays a crucial role in the hematopoietic process, producing all of the body's blood cells and maintaining the overall immune and health system. Red and yellow BM are the two various kinds of BM. A comprehensive identification of the...
Machine Learning Bone Marrow Cells Image Processing, Computer-Assisted Humans Algorithms Deep Learning Bone Marrow
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EEG-based epilepsy detection using CNN-SVM and DNN-SVM with feature dimensionality reduction by PCA.

Scientific reports Apr 24, 2025
This study focuses on epilepsy detection using hybrid CNN-SVM and DNN-SVM models, combined with feature dimensionality reduction through PCA. The goal is to evaluate the effectiveness and performance of these models in accurately identifying epilepti...
Neural Networks, Computer Algorithms Databases, Factual Humans Electroencephalography Epilepsy Dimensionality Reduction Support Vector Machine Principal Component Analysis
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Artificial intelligence for children with attention deficit/hyperactivity disorder: a scoping review.

Experimental biology and medicine (Maywood, N.J.) Apr 24, 2025
Attention deficit/hyperactivity disorder is a common neuropsychiatric disorder that affects around 5%-7% of children worldwide. Artificial intelligence provides advanced models and algorithms for better diagnosis, prediction and classification of att...
Child Humans Machine Learning Magnetic Resonance Imaging Artificial Intelligence Algorithms Attention Deficit Disorder with Hyperactivity
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Intelligent recognition of human activities using deep learning techniques.

PloS one Apr 24, 2025
Recognition of Human Actions (HAR) Portrays a crucial significance in various applications due to its ability for analyzing behaviour of humans within videos. This research investigates HAR in Red, Green, and Blue, or RGB videos using frameworks for ...
Pattern Recognition, Automated Humans Human Activities Algorithms Deep Learning Video Recording
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Adaptive lift chiller units fault diagnosis model based on machine learning.

PloS one Apr 24, 2025
The early minor faults generated by the chiller in operation are not easy to perceive, and the severity will gradually increase with time. The traditional fault diagnosis method has low accuracy and poor stability for early fault diagnosis. In this p...
Humans Models, Theoretical Support Vector Machine Machine Learning Algorithms
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A dual-branch model combining convolution and vision transformer for crop disease classification.

PloS one Apr 24, 2025
Computer vision holds tremendous potential in crop disease classification, but the complex texture and shape characteristics of crop diseases make disease classification challenging. To address these issues, this paper proposes a dual-branch model fo...
Plant Diseases Algorithms Crops, Agricultural Neural Networks, Computer
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