1,107,610 results on '"Machine learning"'
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2. High-speed and high-fidelity prediction of residual stress field distribution in micro-forging using a physical-translated cGAN
3. Context aware machine learning techniques for brain tumor classification and detection – A review
4. A novel perspective on survival prediction for AML patients: Integration of machine learning in SEER database applications
5. Soft computing paradigm for climate change adaptation and mitigation in Iran, Pakistan, and Turkey: A systematic review
6. Predicting dry matter intake in Pelibuey sheep using machine learning methods
7. Fault diagnosis of a CNC hobbing cutter through machine learning using three axis vibration data
8. Bioinformatics combining machine learning and single-cell sequencing analysis to identify common mechanisms and biomarkers of rheumatoid arthritis and ischemic heart failure
9. RNA sequence analysis landscape: A comprehensive review of task types, databases, datasets, word embedding methods, and language models
10. Ab-initio calculation driven machine learning based prediction of quantum capacitance of titanium-doped graphene for efficient supercapacitor electrode design
11. Dynamic network security leveraging efficient CoviNet with granger causality-inspired graph neural networks for data compression in cloud IoT Devices
12. An innovative study on high entropy energy storage mg-Y-Ni-cu systems: Machine learning-driven optimization of electrical cycling in Ni-MH battery alloys
13. A multi-scale data-driven framework for online state of charge estimation of lithium-ion batteries with a novel public drive cycle dataset
14. Prefrontal cortex neuronal ensembles dynamically encode task features during associative memory and virtual navigation
15. Unifying community whole-brain imaging datasets enables robust neuron identification and reveals determinants of neuron position in C. elegans
16. Multimodal hierarchical classification of CITE-seq data delineates immune cell states across lineages and tissues
17. Modeling interfacial tension in hydrogen-water/brine systems for optimizing underground hydrogen storage
18. Machine learning prediction method for assessing water quality impacts on sandstone reservoir permeability and its application in energy development
19. Integrating machine learning predictions of pyrolysis products for improved biomass gasification simulations using the multiphase particle-in-cell method
20. Anxiety in aquatics: Leveraging machine learning models to predict adult zebrafish behavior
21. Functional connectivity induced by social cognition task predict individual differences in loneliness
22. Predicting cobalt ion concentration in hydrometallurgy zinc process using data decomposition and machine learning
23. Modelling the effect of base component properties and processing conditions on mixture products using probabilistic, knowledge-guided neural networks
24. Machine learning enabled discovery of new L-PBF processing domains for Ti-6Al-4V
25. Research on seismic performance prediction of CFST latticed column-composite box girder joint based on machine learning
26. Optimization of CO2 absorption rate for environmental applications and effective carbon capture
27. Predicting microplastic quantities in Indonesian provincial rivers using machine learning models
28. Mapping the spatial transferability of knowledge-guided machine learning: Application to the prediction of drain flow fraction
29. Medium-term forecasting of natural inflow to HPP and adjustment of nominal power using application hydrogen energy technologies
30. Mitigating pesticide mixture hazard in global surface waters through agricultural management
31. A predictive model for the freeze-thaw concrete durability index utilizing the deeplabv3+ model with machine learning
32. Transfer learning framework for modelling the compressive strength of ultra-high performance geopolymer concrete
33. Predicting phage-host interaction via hyperbolic Poincaré graph embedding and large-scale protein language technique
34. Deep learning uncovers histological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patients
35. Application of data-driven methods for laser powder bed fusion of Ni-based superalloys: A review
36. A deep neural network model for parameter identification in deep drawing metal forming process
37. Mechanisms by which microbiome-derived metabolites exert their impacts on neurodegeneration
38. Prediction of the postharvest quality of Boletus wild mushrooms stored with mesoporous silica nanoparticles antibacterial film using Long Short-Term Memory model combined with the Northern Goshawk Optimization (NGO-LSTM)
39. Integrating different detection techniques and data analysis methods for comprehensive food authenticity verification
40. Active learning of enhancers and silencers in the developing neural retina
41. Inferring metabolic objectives and trade-offs in single cells during embryogenesis
42. Single-atom tungsten anchoring on monolayer T-C3N2 as a promising nitrogen reduction electrocatalyst: A combined DFT and machine learning study
43. Shared interaction pathways of ligands targeting the ligand-binding pocket of nuclear receptors
44. Implicit neural representations for experimental steering of advanced experiments
45. Identification of driving factors for heavy metals and polycyclic aromatic hydrocarbons pollution in agricultural soils using interpretable machine learning
46. Monitoring and modelling landscape structure, land use intensity and landscape change as drivers of water quality using remote sensing
47. Machine and deep learning-based prediction of potential geothermal areas in Hangjiahu Plain by integrating remote sensing data and GIS
48. Optimizing droplet coalescence dynamics in microchannels: A comprehensive study using response surface methodology and machine learning algorithms
49. Radiomics model based on computed tomography images for prediction of radiation-induced optic neuropathy following radiotherapy of brain and head and neck tumors
50. Development and validation of a biomarker-based prediction model for metastasis in patients with colorectal cancer: Application of machine learning algorithms
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