AIMC Topic: Ensemble Learning

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Predicting single-cell protein production from food-processing wastewater in sequencing batch reactors using ensemble learning.

Bioresource technology Apr 19, 2025
Producing single-cell protein (SCP) from food-processing wastewater offers a sustainable approach to resource recovery, animal feed production, and wastewater treatment. Decision-makers need accurate system performance data under variable influent co...
Algorithms Biomass Bioreactors Machine Learning Wastewater Dietary Proteins Ensemble Learning Food-Processing Industry Batch Cell Culture Techniques
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A systematic literature review: exploring the challenges of ensemble model for medical imaging.

BMC medical imaging Apr 18, 2025
BACKGROUND: Medical imaging has been essential and has provided clinicians with useful information about the human body to diagnose various health issues. Early diagnosis of diseases based on medical imaging can mitigate the risk of severe consequenc...
Humans Diagnostic Imaging Ensemble Learning
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Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms.

Toxicology mechanisms and methods Apr 11, 2025
Alga toxins have recently emerged as environmental risk factors to multiple human health issues. Mitochondrial toxicity is an essential element in the field of ecotoxicology, it is necessary to screen and manage mitochondrial toxicants from common al...
Marine Toxins Machine Learning Quantitative Structure-Activity Relationship Algorithms Ensemble Learning Mitochondria
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Domain generalization for image classification based on simplified self ensemble learning.

PloS one Apr 4, 2025
Domain generalization seeks to acquire knowledge from limited source data and apply it to an unknown target domain. Current approaches primarily tackle this challenge by attempting to eliminate the differences between domains. However, as cross-domai...
Algorithms Image Processing, Computer-Assisted Humans Ensemble Learning Machine Learning
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An ensemble learning model to predict lymph node metastasis in early gastric cancer.

Scientific reports Apr 2, 2025
Lymph node metastasis is a critical factor for determining therapeutic strategies and assessing the prognosis of early gastric cancer. This work aimed to establish a more dependable predictive model for identify lymph node metastasis in early gastric...
Lymph Nodes Lymphatic Metastasis Female Ensemble Learning Risk Factors Male Aged Middle Aged Adult Machine Learning Humans Stomach Neoplasms Algorithms Prognosis
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LMFE: A Novel Method for Predicting Plant LncRNA Based on Multi-Feature Fusion and Ensemble Learning.

Genes Mar 31, 2025
: Long non-coding RNAs (lncRNAs) play a crucial regulatory role in plant trait expression and disease management, making their accurate prediction a key research focus for guiding biological experiments. While extensive studies have been conducted on...
Machine Learning RNA, Plant RNA, Long Noncoding Algorithms Plants Computational Biology Ensemble Learning
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Automated Autism Assessment With Multimodal Data and Ensemble Learning: A Scalable and Consistent Robot-Enhanced Therapy Framework.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 31, 2025
Navigating the complexities of Autism Spectrum Disorder (ASD) diagnosis and intervention requires a nuanced approach that addresses both the inherent variability in therapeutic practices and the imperative for scalable solutions. This paper presents ...
Eye Movements Child, Preschool Child Female Male Head Movements Fixation, Ocular Humans Robotics Machine Learning Autistic Disorder Ensemble Learning Algorithms Databases, Factual Autism Spectrum Disorder
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Interpretable lung cancer risk prediction using ensemble learning and XAI based on lifestyle and demographic data.

Computational biology and chemistry Mar 27, 2025
Lung cancer is a leading cause of cancer-related death worldwide. The early and accurate detection of lung cancer is crucial for improving patient outcomes. Traditional predictive models often lack the accuracy and interpretability required in clinic...
Humans Machine Learning Risk Factors Male Risk Assessment Life Style Lung Neoplasms Ensemble Learning
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Improving genetic variant identification for quantitative traits using ensemble learning-based approaches.

BMC genomics Mar 12, 2025
BACKGROUND: Genome-wide association studies (GWAS) are rapidly advancing due to the improved resolution and completeness provided by Telomere-to-Telomere (T2T) and pangenome assemblies. While recent advancements in GWAS methods have primarily focused...
Polymorphism, Single Nucleotide Genetic Variation Quantitative Trait Loci Ensemble Learning Quantitative Trait, Heritable Machine Learning Phenotype Genome-Wide Association Study Humans
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MCNEL: A multi-scale convolutional network and ensemble learning for Alzheimer's disease diagnosis.

Computer methods and programs in biomedicine Mar 7, 2025
BACKGROUND AND OBJECTIVE: Alzheimer's disease (AD) significantly threatens community well-being and healthcare resource allocation due to its high incidence and mortality. Therefore, early detection and intervention are crucial for reducing AD-relate...
Ensemble Learning Neural Networks, Computer Humans Machine Learning Deep Learning Algorithms Magnetic Resonance Imaging Alzheimer Disease
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