AIMC Topic: Algorithms

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Software technical debt prediction based on complex software networks.

PloS one Jun 9, 2025
Technical debt prediction (TDP) is crucial for the long-term maintainability of software. In the literature, many machine-learning based TDP models have been proposed; they used TD-related metrics as input features for machine-learning classifiers to...
Humans Machine Learning Software Algorithms
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Assessing simulation-based supervised machine learning for demographic parameter inference from genomic data.

Heredity Jun 6, 2025
The ever-increasing availability of high-throughput DNA sequences and the development of numerous computational methods have led to considerable advances in our understanding of the evolutionary and demographic history of populations. Several demogra...
Machine Learning Algorithms Computer Simulation Humans Neural Networks, Computer Bayes Theorem Supervised Machine Learning Genetics, Population Genomics Models, Genetic
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Smart Reaction Templating: A Graph-Based Method for Automated Molecular Dynamics Input Generation.

Journal of chemical information and modeling Jun 6, 2025
Accurately modeling chemical reactions in molecular dynamics simulations requires detailed pre- and postreaction templates, often created through labor-intensive manual workflows. This work introduces a Python-based algorithm that automates the gener...
Molecular Dynamics Simulation Automation Algorithms
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Mandibular condyle detection using deep learning and double attractor-based energy valley optimizer algorithm.

BMC oral health Jun 6, 2025
The temporomandibular joint (TMJ) constitutes a bilateral ginglymoarthrodial joint, wherein each condyle interacts with its corresponding glenoid fossa of the temporal bone. There is a critical need to understand better and accurately characterize th...
Male Deep Learning Temporomandibular Joint Mandibular Condyle Radiography, Panoramic Humans Female Algorithms Adult
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Application of Mask R-CNN for automatic recognition of teeth and caries in cone-beam computerized tomography.

BMC oral health Jun 6, 2025
OBJECTIVES: Deep convolutional neural networks (CNNs) are advancing rapidly in medical research, demonstrating promising results in diagnosis and prediction within radiology and pathology. This study evaluates the efficacy of deep learning algorithms...
Algorithms Deep Learning Cone-Beam Computed Tomography Dental Caries Humans Tooth Neural Networks, Computer
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The value of intratumoral and peritumoral ultrasound radiomics model constructed using multiple machine learning algorithms for non-mass breast cancer.

Scientific reports Jun 6, 2025
To investigate the diagnostic capability of multiple machine learning algorithms combined with intratumoral and peritumoral ultrasound radiomics models for non-massive breast cancer in dense breast backgrounds. Manual segmentation of ultrasound image...
Humans Radiomics Middle Aged Machine Learning Algorithms ROC Curve Nomograms Adult Ultrasonography Ultrasonography, Mammary Breast Neoplasms Female Aged
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Machine learning based gut microbiota pattern and response to fiber as a diagnostic tool for chronic inflammatory diseases.

BMC microbiology Jun 6, 2025
Gut microbiota has been implicated in the pathogenesis of multiple gastrointestinal (GI) and systemic metabolic and inflammatory disorders where disrupted gut microbiota composition and function (dysbiosis) has been found in multiple studies. Thus, h...
Parkinson Disease Colitis, Ulcerative Chronic Disease Gastrointestinal Microbiome Dysbiosis Crohn Disease Dietary Fiber Male HIV Infections Bacteria Inflammation Feces Algorithms Female Humans Machine Learning
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Fusing multisensory signals across channels and time.

PLoS computational biology Jun 6, 2025
Animals continuously combine information across sensory modalities and time, and use these combined signals to guide their behaviour. Picture a predator watching their prey sprint and screech through a field. To date, a range of multisensory algorith...
Algorithms Animals Computational Biology Neural Networks, Computer Models, Neurological
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Research on social bot identification through behavioral feature analysis.

PloS one Jun 6, 2025
Accurately identifying social bot accounts is the key to preventing the use of artificial intelligence technology to forge social accounts, which can interfere with public opinion and thus cause public opinion crises. However, at present, relying onl...
Social Behavior Artificial Intelligence Humans Algorithms Robotics
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An efficient low-shot class-agnostic counting framework with hybrid encoder and iterative exemplar feature learning.

PloS one Jun 6, 2025
Few-shot learning techniques have enabled the rapid adaptation of a general AI model to various tasks using limited data. In this study, we focus on class-agnostic low-shot object counting, a challenging problem that aims to achieve accurate object c...
Humans Machine Learning Algorithms Image Processing, Computer-Assisted
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