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Electronics, Vol. 11, Pages 218: A Machine Learning Based Model for Energy Usage Peak Prediction in Smart Farms
🌐 90 Days
VR Related Evidence Matrix
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- Predicting Blood Glucose Levels with Organic Neuromorphic Micro-Networks
- Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort
- Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review
- Predictive modeling of plastic pyrolysis process for the evaluation of activation energy: Explainable artificial intelligence based comprehensive insights
- Integrated smart dust monitoring and prediction system for surface mine sites using IoT and machine learning techniques
- Development and validation of a machine learning model for prediction of type 2 diabetes in patients with mental illness
- Developing a machine learning model for predicting venlafaxine active moiety concentration: a retrospective study using real-world evidence
- Machine learning-based analysis for prediction of surgical necrotizing enterocolitis in very low birth weight infants using perinatal factors: a nationwide cohort study
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- An exploration on the machine-learning-based stroke prediction model
- 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
- Predicting Treatment Outcome Based on Resting-State Functional Connectivity in Internalizing Mental Disorders: A Systematic Review and Meta-Analysis
- Low hysteresis, water retention, anti-freeze multifunctional hydrogel strain sensor for human-machine interfacing and real-time sign language translation
- The predictive accuracy of machine learning for the risk of death in HIV patients: a systematic review and meta-analysis
- Machine learning-based prediction of sertraline concentration in patients with depression through therapeutic drug monitoring
- Predicting ischemic stroke patients' prognosis changes using machine learning in a nationwide stroke registry
- Comparative analysis of supervised learning algorithms for prediction of cardiovascular diseases
- Validation of the first-trimester machine learning model for predicting pre-eclampsia in an Asian population
- Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort
- Accelerating Computation of Acidity Constants and Redox Potentials for Aqueous Organic Redox Flow Batteries by Machine Learning Potential-Based Molecular Dynamics
- The application of different machine learning models based on PET/CT images and EGFR in predicting brain metastasis of adenocarcinoma of the lung
- Fairness and bias correction in machine learning for depression prediction across four study populations
- A machine learning approach to predict mortality due to immune-mediated thrombotic thrombocytopenic purpura
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- Machine learning prediction of future amyloid beta positivity in amyloid-negative individuals
- Explainable geospatial-artificial intelligence models for the estimation of PM(2.5) concentration variation during commuting rush hours in Taiwan
- Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies
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- Introducing a machine learning algorithm for delirium prediction-the Supporting SURgery with GEriatric Co-Management and AI project (SURGE-Ahead)
- Multimodal brain age prediction using machine learning: combining structural MRI and 5-HT2AR PET-derived features
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- Development of Novel Methods for QSAR Modeling by Machine Learning Repeatedly: A Case Study on Drug Distribution to Each Tissue
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Evidence Blueprint
Electronics, Vol. 11, Pages 218: A Machine Learning Based Model for Energy Usage Peak Prediction in Smart Farms
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Electronics, Vol. 11, Pages 218: A Machine Learning Based Model for Energy Usage Peak Prediction in Smart Farms
🌐 365 Days
VR Related Evidence Matrix
- Flexible Conformally Bioadhesive MXene Hydrogel Electronics for Machine Learning-Facilitated Human-Interactive Sensing
- Construction of influencing factor segmentation and intelligent prediction model of college students' cell phone addiction model based on machine learning algorithm
- Predicting Blood Glucose Levels with Organic Neuromorphic Micro-Networks
- Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort
- Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review
- Predictive modeling of plastic pyrolysis process for the evaluation of activation energy: Explainable artificial intelligence based comprehensive insights
- Integrated smart dust monitoring and prediction system for surface mine sites using IoT and machine learning techniques
- Development and validation of a machine learning model for prediction of type 2 diabetes in patients with mental illness
- Developing a machine learning model for predicting venlafaxine active moiety concentration: a retrospective study using real-world evidence
- Evaluating the Stroke Risk of Patients using Machine Learning: A New Perspective from Sichuan and Chongqing
- Machine learning-based analysis for prediction of surgical necrotizing enterocolitis in very low birth weight infants using perinatal factors: a nationwide cohort study
- An explainable machine learning model for prediction of high-risk nonalcoholic steatohepatitis
- Researchers successfully train a machine learning model in outer space for the first time
- EEG-based Machine Learning Models for the Prediction of Phenoconversion Time and Subtype in iRBD
- Machine learning in internet financial risk management: A systematic literature review
- Machine learning in the prediction and detection of new-onset atrial fibrillation in ICU: a systematic review
- DIGIPREDICT: physiological, behavioural and environmental predictors of asthma attacks-a prospective observational study using digital markers and artificial intelligence-study protocol
- Development and validation of a machine learning-based prognostic risk stratification model for acute ischemic stroke
- AI-based disease category prediction model using symptoms from low-resource Ethiopian language: Afaan Oromo text
- An exploration on the machine-learning-based stroke prediction model
- An exploration on the machine-learning-based stroke prediction model
- Disability risk prediction model based on machine learning among Chinese healthy older adults: results from the China Health and Retirement Longitudinal Study
- 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
- Predicting Treatment Outcome Based on Resting-State Functional Connectivity in Internalizing Mental Disorders: A Systematic Review and Meta-Analysis
- Machine learning prediction of hepatic steatosis using body composition parameters: A UK Biobank Study
- Predicting quetiapine dose in patients with depression using machine learning techniques based on real-world evidence
- Low hysteresis, water retention, anti-freeze multifunctional hydrogel strain sensor for human-machine interfacing and real-time sign language translation
- Performance reserves in brain-imaging-based phenotype prediction
- Impact of signal intensity normalization of MRI on the generalizability of radiomic-based prediction of molecular glioma subtypes
- Machine learning techniques in diagnostics and prediction of the clinical features of schizophrenia: a narrative review
- The predictive accuracy of machine learning for the risk of death in HIV patients: a systematic review and meta-analysis
- Machine learning-based prediction of sertraline concentration in patients with depression through therapeutic drug monitoring
- Predicting ischemic stroke patients' prognosis changes using machine learning in a nationwide stroke registry
- Machine Learning-Based Approach to Predict Intrauterine Growth Restriction
- Comparative analysis of supervised learning algorithms for prediction of cardiovascular diseases
- A roadmap for applying machine learning when working with privacy-sensitive data: predicting non-response to treatment for eating disorders
- Rethinking Dementia Risk Prediction: A Critical Evaluation of a Multimodal Machine Learning Predictive Model
- Validation of the first-trimester machine learning model for predicting pre-eclampsia in an Asian population
- Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort
- Accelerating Computation of Acidity Constants and Redox Potentials for Aqueous Organic Redox Flow Batteries by Machine Learning Potential-Based Molecular Dynamics
- The application of different machine learning models based on PET/CT images and EGFR in predicting brain metastasis of adenocarcinoma of the lung
- Using machine learning to forecast domestic homicide via police data and super learning
- Fairness and bias correction in machine learning for depression prediction across four study populations
- A machine learning approach to predict mortality due to immune-mediated thrombotic thrombocytopenic purpura
- Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing
- Machine learning prediction of future amyloid beta positivity in amyloid-negative individuals
- Machine learning prediction of future amyloid beta positivity in amyloid-negative individuals
- Machine learning for prediction of schizophrenia based on identifying the primary and interaction effects of minor physical anomalies
- Applications of Artificial Intelligence Methods for the Prediction of Osteoporotic Fractures
- Explainable geospatial-artificial intelligence models for the estimation of PM(2.5) concentration variation during commuting rush hours in Taiwan
- Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies
- Six-gene prognostic signature for non-alcoholic fatty liver disease susceptibility using machine learning
- Introducing a machine learning algorithm for delirium prediction-the Supporting SURgery with GEriatric Co-Management and AI project (SURGE-Ahead)
- Introducing a machine learning algorithm for delirium prediction-the Supporting SURgery with GEriatric Co-Management and AI project (SURGE-Ahead)
- Brain energy metabolism is optimized to minimize the cost of enzyme synthesis and transport
- Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients
- Traditional machine learning methods vs. deep learning for meningioma classification, grading, outcome prediction, and segmentation: a systematic review and meta-analysis
- Multimodal brain age prediction using machine learning: combining structural MRI and 5-HT2AR PET-derived features
- Machine Learning-Based Prediction of Stroke in Emergency Departments
- Development of Novel Methods for QSAR Modeling by Machine Learning Repeatedly: A Case Study on Drug Distribution to Each Tissue
- Exploring post-COVID-19 health effects and features with advanced machine learning techniques
- Intelligent and sustainable waste classification model based on multi-objective beluga whale optimization and deep learning
- A dosiomics model for prediction of radiation-induced acute skin toxicity in breast cancer patients: machine learning-based study for a closed bore linac