AIMC Topic: Algorithms

Clear Filters Showing 341 to 350 of 26936 articles

Ensemble of weak spectral total-variation learners: a PET-CT case study.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Jun 5, 2025
Solving computer vision problems through machine learning, one often encounters lack of sufficient training data. To mitigate this, we propose the use of ensembles of weak learners based on spectral total-variation (STV) features (Gilboa G. 2014 A to...
Positron Emission Tomography Computed Tomography Humans Machine Learning Algorithms
View on PubMed DOI

Designing diverse and high-performance proteins with a large language model in the loop.

PLoS computational biology Jun 5, 2025
We present a protein engineering approach to directed evolution with machine learning that integrates a new semi-supervised neural network fitness prediction model, Seq2Fitness, and an innovative optimization algorithm, biphasic annealing for diverse...
Neural Networks, Computer Machine Learning Algorithms Mutation Computational Biology Protein Engineering Proteins Large Language Models
View on PubMed DOI

Machine learning-based prediction model for cognitive impairment risk in patients with chronic kidney disease.

PloS one Jun 5, 2025
BACKGROUND: The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.
Prognosis China Female Cognitive Dysfunction Humans Longitudinal Studies Machine Learning Aged Logistic Models Neural Networks, Computer Renal Insufficiency, Chronic Male Algorithms Middle Aged Support Vector Machine Risk Factors Risk Assessment
View on PubMed DOI

Adaptive network steganography using deep learning and multimedia video analysis for enhanced security and fidelity.

PloS one Jun 5, 2025
This study presents an advanced adaptive network steganography paradigm that integrates deep learning methodologies with multimedia video analysis to enhance the universality and security of network steganography practices. The proposed approach util...
Computer Security Multimedia Image Processing, Computer-Assisted Video Recording Signal-To-Noise Ratio Algorithms Deep Learning Humans Neural Networks, Computer
View on PubMed DOI

Identifying dynamic regulation with machine learning using adversarial surrogates.

PloS one Jun 5, 2025
Biological systems maintain stability of their function in spite of external and internal perturbations. An important challenge in studying biological regulation is to identify the control objectives based on empirical data. Very often these objectiv...
Machine Learning Algorithms Humans Computer Simulation Models, Biological
View on PubMed DOI

Shining Light on DNA Mutations through Machine Learning-Augmented Vibrational Spectroscopy.

Analytical chemistry Jun 4, 2025
A method to directly predict the number of nucleic acid bases in a single-stranded DNA (ssDNA) or a genomic DNA has been proposed with a combination of Raman spectroscopy and an Artificial Neural Network (ANN) algorithm. In this work, the algorithm w...
Mutation DNA, Single-Stranded Algorithms Spectrum Analysis, Raman Neural Networks, Computer DNA Machine Learning
View on PubMed DOI

Machine reading and recovery of colors for hemoglobin-related bioassays and bioimaging.

Science advances Jun 4, 2025
Despite advances in machine learning and computer vision for biomedical imaging, machine reading and learning of colors remain underexplored. Color consistency in computer vision, color constancy in human perception, and color accuracy in biomedical ...
Neural Networks, Computer Machine Learning Algorithms Humans Color Biological Assay Hemoglobins Image Processing, Computer-Assisted Colorimetry
View on PubMed DOI

GNNMutation: a heterogeneous graph-based framework for cancer detection.

BMC bioinformatics Jun 4, 2025
BACKGROUND: When genes are translated into proteins, mutations in the gene sequence can lead to changes in protein structure and function as well as in the interactions between proteins. These changes can disrupt cell function and contribute to the d...
Exome Sequencing Computational Biology Mutation Humans Algorithms Neural Networks, Computer Neoplasms
View on PubMed DOI

HLN-DDI: hierarchical molecular representation learning with co-attention mechanism for drug-drug interaction prediction.

BMC bioinformatics Jun 4, 2025
BACKGROUND: Accurate identification of drug-drug interactions (DDIs) is critical in pharmacology, as DDIs can either enhance therapeutic efficacy or trigger adverse reactions when multiple medications are administered concurrently. Traditional method...
Algorithms Computational Biology Drug Interactions Humans Machine Learning
View on PubMed DOI

A hybrid GAN-based deep learning framework for thermogram-based breast cancer detection.

Scientific reports Jun 4, 2025
Breast cancer remains one of the most prevalent and life-threatening diseases among women worldwide, necessitating early and accurate detection methods. Traditional diagnostic approaches often face limitations in sensitivity and specificity, highligh...
Breast Neoplasms Deep Learning Early Detection of Cancer Algorithms Female Thermography Humans Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals