AIMC Topic: Bayes Theorem

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Machine learning-enhanced multi-trait genomic prediction for optimizing cannabinoid profiles in cannabis.

The Plant journal : for cell and molecular biology Nov 27, 2024
Cannabis sativa L., known for its medicinal and psychoactive properties, has recently experienced rapid market expansion but remains understudied in terms of its fundamental biology due to historical prohibitions. This pioneering study implements GS ...
Plant Breeding Bayes Theorem Cannabis Genome, Plant Quantitative Trait Loci Cannabinoids Genomics Polymorphism, Single Nucleotide Machine Learning Genotype
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A hybrid deep learning model-based LSTM and modified genetic algorithm for air quality applications.

Environmental monitoring and assessment Nov 27, 2024
Over time, computing power and storage resource advancements have enabled the widespread accumulation and utilization of data across various domains. In the field of air quality, analyzing data and developing air quality models have become pivotal in...
Environmental Monitoring Air Pollutants Air Pollution Particulate Matter Bayes Theorem Forecasting Deep Learning Algorithms
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The research explores the predictive capacity of the shear strength of reinforced concrete walls with different cross-sectional shapes using the XGBoost model.

PloS one Nov 27, 2024
Structurally, the lateral load-bearing capacity mainly depends on reinforced concrete (RC) walls. Determination of flexural strength and shear strength is mandatory when designing reinforced concrete walls. Typically, these strengths are determined t...
Shear Strength Bayes Theorem Materials Testing Machine Learning Models, Theoretical Algorithms Construction Materials
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Human limits in machine learning: prediction of potato yield and disease using soil microbiome data.

BMC bioinformatics Nov 26, 2024
BACKGROUND: The preservation of soil health is a critical challenge in the 21st century due to its significant impact on agriculture, human health, and biodiversity. We provide one of the first comprehensive investigations into the predictive potenti...
Soil Soil Microbiology Bayes Theorem Humans Machine Learning Solanum tuberosum Microbiota Plant Diseases
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Introducing µGUIDE for quantitative imaging via generalized uncertainty-driven inference using deep learning.

eLife Nov 26, 2024
This work proposes µGUIDE: a general Bayesian framework to estimate posterior distributions of tissue microstructure parameters from any given biophysical model or signal representation, with exemplar demonstration in diffusion-weighted magnetic reso...
Humans Deep Learning Uncertainty Diffusion Magnetic Resonance Imaging Image Processing, Computer-Assisted Bayes Theorem
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Advancement of post-market surveillance of medical devices leveraging artificial intelligence: Infusion pumps case study.

Technology and health care : official journal of the European Society for Engineering and Medicine Nov 25, 2024
BackgroundAnalysis of data from incident registries such as MAUDE has identified the need to improve surveillance and maintenance strategies for infusion pumps to enhance patient and healthcare staff safety.ObjectiveThe ultimate goal is to enhance in...
Infusion Pumps Product Surveillance, Postmarketing Humans Algorithms Artificial Intelligence Support Vector Machine Machine Learning Bayes Theorem
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Physics-Informed Neural Network for monitoring the sulfate ion adsorption process using particle filter.

Anais da Academia Brasileira de Ciencias Nov 25, 2024
Fixed-bed columns are a well-established water purification technology. Several models have been constructed over the decades to scale up and predict the breakthrough curve of an adsorption column varying the flow rate, length, and initial concentrat...
Sulfates Adsorption Neural Networks, Computer Bayes Theorem Water Purification
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A comprehensive machine learning-based models for predicting mixture toxicity of azole fungicides toward algae (Auxenochlorella pyrenoidosa).

Environment international Nov 23, 2024
Quantitative structure-activity relationships (QSARs) have been used to predict mixture toxicity. However, current research faces gaps in achieving accurate predictions of the mixture toxicity of azole fungicides. To address this gap, the application...
Support Vector Machine Bayes Theorem Azoles Quantitative Structure-Activity Relationship Fungicides, Industrial Machine Learning Algorithms Chlorophyta
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Leveraging machine learning in limited sampling strategies for efficient estimation of the area under the curve in pharmacokinetic analysis: a review.

European journal of clinical pharmacology Nov 21, 2024
OBJECTIVE: Limited sampling strategies are widely employed in clinical practice to minimize the number of blood samples required for the accurate area under the curve calculations, as obtaining these samples can be costly and challenging. Traditional...
Pharmacokinetics Humans Bayes Theorem Area Under Curve Machine Learning Models, Biological
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Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization.

Scientific reports Nov 19, 2024
With the rapid increase of users over social media, cyberbullying, and hate speech problems have arisen over the past years. Automatic hate speech detection (HSD) from text is an emerging research problem in natural language processing (NLP). Researc...
Natural Language Processing Machine Learning Bayes Theorem Algorithms Language Hate Deep Learning Humans Speech
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