AIMC Topic: Algorithms

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Hybrid optimization technique for matrix chain multiplication using Strassen's algorithm.

F1000Research May 27, 2025
BACKGROUND: Matrix Chain Multiplication (MCM) is a fundamental problem in computational mathematics and computer science, often encountered in scientific computing, graphics, and machine learning. Traditional MCM optimization techniques use Dynamic P...
Machine Learning Algorithms
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Efficient few-shot medical image segmentation via self-supervised variational autoencoder.

Medical image analysis May 26, 2025
Few-shot medical image segmentation typically uses a joint model for registration and segmentation. The registration model aligns a labeled atlas with unlabeled images to form initial masks, which are then refined by the segmentation model. However, ...
Humans Image Interpretation, Computer-Assisted Autoencoder Algorithms Magnetic Resonance Imaging Image Processing, Computer-Assisted Supervised Machine Learning
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TaxaCal: enhancing species-level profiling accuracy of 16S amplicon data.

BMC bioinformatics May 26, 2025
BACKGROUND: 16S rRNA amplicon sequencing is a widely used method for microbiome composition analysis due to its cost-effectiveness and lower data requirements compared to metagenomic whole-genome sequencing (WGS). However, inherent limitations in 16S...
RNA, Ribosomal, 16S Sequence Analysis, DNA Algorithms Bacteria Microbiota Metagenomics Humans Machine Learning
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MobNas ensembled model for breast cancer prediction.

Scientific reports May 25, 2025
Breast cancer poses a real and immense threat to humankind, thus a need to develop a way of diagnosing this devastating disease early, accurately, and in a simpler manner. Thus, while substantial progress has been made in developing machine learning ...
Humans Deep Learning Female Breast Neoplasms Machine Learning Algorithms
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A novel feature fusion and mountain gazelle optimizer based framework for the recognition of jute pests in sustainable agriculture.

Scientific reports May 25, 2025
Sustainable agriculture is an approach that involves adopting and developing agricultural practices to increase efficiency and preserve resources, both environmentally and economically. Jute is one of the primary sources of income grown in many count...
Crops, Agricultural Agriculture Artificial Intelligence Algorithms Animals
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A data-centric and interpretable EEG framework for depression severity grading using SHAP-based insights.

Journal of neuroengineering and rehabilitation May 25, 2025
BACKGROUND: Major Depressive Disorder is a leading cause of disability worldwide. An accurate assessment of depression severity is critical for diagnosis, treatment planning, and monitoring, yet current clinical tools are largely subjective, relying ...
Middle Aged Depressive Disorder, Major Adult Male Electroencephalography Severity of Illness Index Depression Machine Learning Algorithms Brain Female Humans
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Overlapping community detection via Layer-Jaccard similarity incorporated nonnegative matrix factorization.

Neural networks : the official journal of the International Neural Network Society May 24, 2025
As information modernization progresses, the connections between entities become more elaborate, forming more intricate networks. Consequently, the emphasis on community detection has transitioned from discerning disjoint communities towards the iden...
Neural Networks, Computer Humans Algorithms
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Image guided construction of a common coordinate framework for spatial transcriptome data.

Scientific reports May 24, 2025
Spatial transcriptomics is a powerful technology for high-resolution mapping of gene expression in tissue samples, enabling a molecular level understanding of tissue architecture. The acquisition entails dissecting and profiling micron-thick tissue s...
Transcriptome Deep Learning Image Processing, Computer-Assisted Animals Humans Gene Expression Profiling Algorithms
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Learning contrast and content representations for synthesizing magnetic resonance image of arbitrary contrast.

Medical image analysis May 23, 2025
Magnetic Resonance Imaging (MRI) produces images with different contrasts, providing complementary information for clinical diagnoses and research. However, acquiring a complete set of MRI sequences can be challenging due to limitations such as lengt...
Image Processing, Computer-Assisted Machine Learning Magnetic Resonance Imaging Humans Image Interpretation, Computer-Assisted Algorithms
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Development of machine learning models for estimation of disintegration time on fast-disintegrating tablets.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences May 23, 2025
The disintegration time for solid dosage oral formulations is directly influenced by diverse factors such as molecular properties, physical characteristics, excipient compositions, and formulation-specific attributes. This research addresses the chal...
Solubility Chemistry, Pharmaceutical Machine Learning Algorithms Excipients Tablets
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