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Prediction of Mechanical Properties of the 2024 Aluminum Alloy by Using Machine Learning Methods
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The role of machine learning algorithms in detection of gestational diabetes; a narrative review of current evidence Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review Machine learning in the prediction and detection of new-onset atrial fibrillation in ICU: a systematic review Machine Learning-Based Prediction of Helicobacter pylori Infection Study in Adults Machine learning in internet financial risk management: A systematic literature review Machine learning approaches for practical predicting outpatient near-future AECOPD based on nationwide electronic medical records Machine learning approaches for practical predicting outpatient near-future AECOPD based on nationwide electronic medical records Construction of influencing factor segmentation and intelligent prediction model of college students' cell phone addiction model based on machine learning algorithm Machine Learning for prediction of violent behaviors in schizophrenia spectrum disorders: a systematic review Precise risk-prediction model including arterial stiffness for new-onset atrial fibrillation using machine learning techniques Predicting Treatment Outcome Based on Resting-State Functional Connectivity in Internalizing Mental Disorders: A Systematic Review and Meta-Analysis Prediction of the Need for Anticonvulsants in the Management of Orofacial Neuropathic Pain Using Machine Learning Application of artificial intelligence and machine learning techniques to the analysis of dynamic protein sequences An exploration on the machine-learning-based stroke prediction model An exploration on the machine-learning-based stroke prediction model Predicting photovoltaic parameters of perovskite solar cells using machine learning The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms Using Artificial Intelligence to Predict Mechanical Ventilation Weaning Success in Patients with Respiratory Failure, Including Those with Acute Respiratory Distress Syndrome Low hysteresis, water retention, anti-freeze multifunctional hydrogel strain sensor for human-machine interfacing and real-time sign language translation Machine learning-based analysis for prediction of surgical necrotizing enterocolitis in very low birth weight infants using perinatal factors: a nationwide cohort study Developing a machine learning model for predicting venlafaxine active moiety concentration: a retrospective study using real-world evidence A machine learning approach to predict mortality due to immune-mediated thrombotic thrombocytopenic purpura Brain tumor detection using proper orthogonal decomposition integrated with deep learning networks Interpretable machine learning model for early prediction of delirium in elderly patients following intensive care unit admission: a derivation and validation study Development and validation of a machine learning model for prediction of type 2 diabetes in patients with mental illness Artificial Intelligence-Derived Risk Prediction: A Novel Risk Calculator Using Office and Ambulatory Blood Pressure Machine-Learning Approaches for Risk Prediction in Transcatheter Aortic Valve Implantation: Systematic Review and Meta-Analysis Benchmarking clinical risk prediction algorithms with ensemble machine learning for the non-invasive diagnosis of liver fibrosis in NAFLD An interpretable ensemble structure with a non-iterative training algorithm to improve the predictive accuracy of healthcare data analysis A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort System-level time computation and representation in the suprachiasmatic nucleus revealed by large-scale calcium imaging and machine learning Chitosan/zein-based sustained-release composite films: Fabrication, physicochemical properties and release kinetics of tea polyphenols from polymer matrix TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods Exploring the potential of machine learning in gynecological care: a review Characterization of the layer, direction and time-dependent mechanical behaviour of the human oesophagus and the effects of formalin preservation Distinguishing Molecular Properties of OAT, OATP, and MRP Drug Substrates by Machine Learning Integrated smart dust monitoring and prediction system for surface mine sites using IoT and machine learning techniques Fairness and bias correction in machine learning for depression prediction across four study populations A systematic review of machine learning models for management, prediction and classification of ARDS The predictive accuracy of machine learning for the risk of death in HIV patients: a systematic review and meta-analysis In Silico Chemical Experiments in the Age of AI: From Quantum Chemistry to Machine Learning and Back Pioneering role of machine learning in unveiling intensive care unit-acquired weakness A refined approach for evaluating small datasets via binary classification using machine learning Artificial intelligence and machine learning responses to COVID-19 related inquiries Impact of Sacrificial Hydrogen Bonds on the Structure and Properties of Rubber Materials: Insights from All-Atom Molecular Dynamics Simulations An explainable machine learning model for prediction of high-risk nonalcoholic steatohepatitis Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry AI-based disease category prediction model using symptoms from low-resource Ethiopian language: Afaan Oromo text Neural critic learning with accelerated value iteration for nonlinear model predictive control Machine learning applied to prediction of relapse, hospitalization, and suicide in bipolar disorder using neuroimaging and clinical data: A systematic review Comparative analysis of supervised learning algorithms for prediction of cardiovascular diseases Explainable geospatial-artificial intelligence models for the estimation of PM(2.5) concentration variation during commuting rush hours in Taiwan Six-gene prognostic signature for non-alcoholic fatty liver disease susceptibility using machine learning Machine learning in cardiac surgery: a narrative review Accelerating Molecular Docking using Machine Learning Methods Protocol to explain support vector machine predictions via exact Shapley value computation Use of Machine-Learning Algorithms Based on Text, Audio and Video Data in the Prediction of Anxiety and Post-Traumatic Stress in General and Clinical Populations: A Systematic Review Machine learning and artificial intelligence within pediatric autoimmune diseases: applications, challenges, future perspective Machine Learning as a Diagnostic and Prognostic Tool for Predicting Thrombosis in Cancer Patients: A Systematic Review Epistatic Features and Machine Learning Improve Alzheimer's Disease Risk Prediction Over Polygenic Risk Scores Design optimization of geometrically confined cardiac organoids enabled by machine learning techniques Application of a transparent artificial intelligence algorithm for US adults in the obese category of weight Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric Analysis
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Prediction of Mechanical Properties of the 2024 Aluminum Alloy by Using Machine Learning Methods
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Prediction of Mechanical Properties of the 2024 Aluminum Alloy by Using Machine Learning Methods
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
The role of machine learning algorithms in detection of gestational diabetes; a narrative review of current evidence Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review Evaluating the Stroke Risk of Patients using Machine Learning: A New Perspective from Sichuan and Chongqing Machine learning in the prediction and detection of new-onset atrial fibrillation in ICU: a systematic review Machine Learning-Based Prediction of Helicobacter pylori Infection Study in Adults Single-Cell Mechanics: Structural Determinants and Functional Relevance Single-Cell Mechanics: Structural Determinants and Functional Relevance Machine learning in internet financial risk management: A systematic literature review Traditional machine learning methods vs. deep learning for meningioma classification, grading, outcome prediction, and segmentation: a systematic review and meta-analysis Machine learning approaches for practical predicting outpatient near-future AECOPD based on nationwide electronic medical records Machine learning approaches for practical predicting outpatient near-future AECOPD based on nationwide electronic medical records Construction of influencing factor segmentation and intelligent prediction model of college students' cell phone addiction model based on machine learning algorithm Machine learning and deep neural network-based learning in osteoarthritis knee A primer on the use of machine learning to distil knowledge from data in biological psychiatry Machine Learning for prediction of violent behaviors in schizophrenia spectrum disorders: a systematic review Precise risk-prediction model including arterial stiffness for new-onset atrial fibrillation using machine learning techniques The use of machine learning on administrative and survey data to predict suicidal thoughts and behaviors: a systematic review Machine learning techniques in diagnostics and prediction of the clinical features of schizophrenia: a narrative review Performance reserves in brain-imaging-based phenotype prediction Predicting Treatment Outcome Based on Resting-State Functional Connectivity in Internalizing Mental Disorders: A Systematic Review and Meta-Analysis Prediction of the Need for Anticonvulsants in the Management of Orofacial Neuropathic Pain Using Machine Learning Application of artificial intelligence and machine learning techniques to the analysis of dynamic protein sequences An exploration on the machine-learning-based stroke prediction model An exploration on the machine-learning-based stroke prediction model Mechanical and Environmental Assessment of Lathe Waste as an Addiction to Concrete Compared to the Use of Commercial Fibres The first reported mortality from aluminum phosphide poisoning in Lebanon: a case report Predicting photovoltaic parameters of perovskite solar cells using machine learning Machine learning assisted-nanomedicine using magnetic nanoparticles for central nervous system diseases The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms Using Artificial Intelligence to Predict Mechanical Ventilation Weaning Success in Patients with Respiratory Failure, Including Those with Acute Respiratory Distress Syndrome Reduction of alcohol-induced mitochondrial damage with ginsenoside Rg1 studied by atomic force microscopy Rethinking Dementia Risk Prediction: A Critical Evaluation of a Multimodal Machine Learning Predictive Model Impact of knockout of dual-specificity protein phosphatase 5 on structural and mechanical properties of rat middle cerebral arteries: implications for vascular aging EEG-based Machine Learning Models for the Prediction of Phenoconversion Time and Subtype in iRBD Low hysteresis, water retention, anti-freeze multifunctional hydrogel strain sensor for human-machine interfacing and real-time sign language translation Ensemble-Learning and Feature Selection Techniques for Enhanced Antisense Oligonucleotide Efficacy Prediction in Exon Skipping Machine learning-based analysis for prediction of surgical necrotizing enterocolitis in very low birth weight infants using perinatal factors: a nationwide cohort study Developing a machine learning model for predicting venlafaxine active moiety concentration: a retrospective study using real-world evidence hERG agonists pose challenges to web-based machine learning methods for prediction of drug-hERG channel interaction ORA collection on AI & Machine Learning launch event An overview of clinical machine learning applications in neurology A machine learning approach to predict mortality due to immune-mediated thrombotic thrombocytopenic purpura Brain tumor detection using proper orthogonal decomposition integrated with deep learning networks Development and internal validation of machine learning models to predict mortality and disability after mechanical thrombectomy for acute anterior circulation large vessel occlusion Interpretable machine learning model for early prediction of delirium in elderly patients following intensive care unit admission: a derivation and validation study Development and validation of a machine learning model for prediction of type 2 diabetes in patients with mental illness Artificial Intelligence-Derived Risk Prediction: A Novel Risk Calculator Using Office and Ambulatory Blood Pressure Prediction of dementia based on older adults' sleep disturbances using machine learning Machine-Learning Approaches for Risk Prediction in Transcatheter Aortic Valve Implantation: Systematic Review and Meta-Analysis Benchmarking clinical risk prediction algorithms with ensemble machine learning for the non-invasive diagnosis of liver fibrosis in NAFLD Prediction of Surgical Outcomes in Normal Pressure Hydrocephalus by MR Elastography An interpretable ensemble structure with a non-iterative training algorithm to improve the predictive accuracy of healthcare data analysis A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort System-level time computation and representation in the suprachiasmatic nucleus revealed by large-scale calcium imaging and machine learning Chitosan/zein-based sustained-release composite films: Fabrication, physicochemical properties and release kinetics of tea polyphenols from polymer matrix TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods Exploring the potential of machine learning in gynecological care: a review A roadmap for applying machine learning when working with privacy-sensitive data: predicting non-response to treatment for eating disorders Predicting quetiapine dose in patients with depression using machine learning techniques based on real-world evidence Characterization of the layer, direction and time-dependent mechanical behaviour of the human oesophagus and the effects of formalin preservation Photoacoustic viscoelasticity assessment of prefrontal cortex and cerebellum in normal and prenatal valproic acid-exposed rats Distinguishing Molecular Properties of OAT, OATP, and MRP Drug Substrates by Machine Learning Integrated smart dust monitoring and prediction system for surface mine sites using IoT and machine learning techniques