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Prediction of the impact of tobacco waste hydrothermal products on compost microbial growth using hyperspectral imaging combined with machine learning

Prediction of the impact of tobacco waste hydrothermal products on compost microbial growth using hyperspectral imaging combined with machine learning

Identification of Fatty Acid Metabolism-Related Subtypes in Gastric Cancer Aided by Machine Learning

Identification of Fatty Acid Metabolism-Related Subtypes in Gastric Cancer Aided by Machine Learning

Hierarchical Reinforcement Learning for Multi-Layer Multi-Service Non-Terrestrial Vehicular Edge Computing - Paper

Hierarchical Reinforcement Learning for Multi-Layer Multi-Service Non-Terrestrial Vehicular Edge Computing - Paper

SDePER - A hybrid machine learning and regression method for cell-type deconvolution of spatial barcoding-based transcriptomic data

SDePER - A hybrid machine learning and regression method for cell-type deconvolution of spatial barcoding-based transcriptomic data

Analyzing soil enzymes to assess soil quality parameters in long-term copper accumulation through a machine learning approach

Analyzing soil enzymes to assess soil quality parameters in long-term copper accumulation through a machine learning approach

TOWARDS PRECISION PHOTOMETRIC TYPE IA SUPERNOVA COSMOLOGY WITH MACHINE LEARNING - A DISSERTATION

TOWARDS PRECISION PHOTOMETRIC TYPE IA SUPERNOVA COSMOLOGY WITH MACHINE LEARNING - A DISSERTATION

Static Analysis Driven Enhancements for Comprehension in Machine Learning Notebooks

Static Analysis Driven Enhancements for Comprehension in Machine Learning Notebooks

Construction and validation of a nomogram model for lymph node metastasis of stage II-III gastric cancer based on machine learning algorithms

Construction and validation of a nomogram model for lymph node metastasis of stage II-III gastric cancer based on machine learning algorithms

Integrating multi-omics and machine learning survival frameworks to build a prognostic model based on immune function and cell death patterns in a lung adenocarcinoma cohort

Integrating multi-omics and machine learning survival frameworks to build a prognostic model based on immune function and cell death patterns in a lung adenocarcinoma cohort

Landsat-based Spatiotemporal Estimation of Subtropical Forest Aboveground Carbon Storage Using Machine Learning Algorithms with Hyperparameter Tuning

Landsat-based Spatiotemporal Estimation of Subtropical Forest Aboveground Carbon Storage Using Machine Learning Algorithms with Hyperparameter Tuning

The role of lactylation in plasma cells and its impact on rheumatoid arthritis pathogenesis - insights from single-cell RNA sequencing and machine learning

The role of lactylation in plasma cells and its impact on rheumatoid arthritis pathogenesis - insights from single-cell RNA sequencing and machine learning

Integration of Slurry-Total Reflection X-ray Fluorescence and Machine Learning for Monitoring Arsenic and Lead Contamination - Case Study in Itata Valley Agricultural Soils, Chile

Integration of Slurry-Total Reflection X-ray Fluorescence and Machine Learning for Monitoring Arsenic and Lead Contamination - Case Study in Itata Valley Agricultural Soils, Chile

Machine learning for exoplanet detection in high-contrast spectroscopy - Revealing exoplanets by leveraging hidden molecular signatures in cross-correlated spectra with convolutional neural networks

Machine learning for exoplanet detection in high-contrast spectroscopy - Revealing exoplanets by leveraging hidden molecular signatures in cross-correlated spectra with convolutional neural networks

Identifying and Validating Extracellular Matrix-Related Gene CTSH in Diabetic Foot Ulcer Using Bioinformatics and Machine Learning

Identifying and Validating Extracellular Matrix-Related Gene CTSH in Diabetic Foot Ulcer Using Bioinformatics and Machine Learning

Contrast-enhanced CT radiomics combined with multiple machine learning algorithms for preoperative identiﬁcation of lymph node metastasis in pancreatic ductal adenocarcinoma

Contrast-enhanced CT radiomics combined with multiple machine learning algorithms for preoperative identiﬁcation of lymph node metastasis in pancreatic ductal adenocarcinoma