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Latest: Psychiatryai.com #RAISR4D Evidence
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Cool Evidence: Engaging Young People and Students in Real-World Evidence
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Real-Time Evidence Search [Psychiatry]
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AI Research
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Sensors, Vol. 22, Pages 2229: Machine Learning Meets Compressed Sensing in Vibration-Based Monitoring
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🌐 90 Days
AI Virtual Reality Related Evidence Matrix
Reconstruction of 3D knee MRI using deep learning and compressed sensing: a validation study on healthy volunteers Flexible Conformally Bioadhesive MXene Hydrogel Electronics for Machine Learning-Facilitated Human-Interactive Sensing Artificial Q-Grader: Machine Learning-Enabled Intelligent Olfactory and Gustatory Sensing System Artificial Intelligence and Deep Learning in Sensors and Applications Reduction of ADC bias in diffusion MRI with deep learning-based acceleration: A phantom validation study at 3.0 T Integrated smart dust monitoring and prediction system for surface mine sites using IoT and machine learning techniques ORA collection on AI & Machine Learning launch event Bioinspired Colorimetric Double Inverse Opal Photonic Crystal Indicators for Ethanol Concentration Sensing in Fermentation Engineering Applying machine learning to international drug monitoring: classifying cannabis resin collected in Europe using cannabinoid concentrations The Sixth Sense: Self-nucleic acid sensing in the brain Tool Condition Monitoring Using Machine Tool Spindle Current and Long Short-Term Memory Neural Network Model Analysis Machine learning in internet financial risk management: A systematic literature review A refined approach for evaluating small datasets via binary classification using machine learning Carbon Nanofibrous Aerogels Derived from Electrospun Polyimide for Multifunctional Piezoresistive Sensors Attention capture by own name decreases with speech compression Implantable Resistive Strain Sensor-Decorated Colloidal Crystal Hydrogel Catheter for Intestinal Tract Pressure Sensing Data Preprocessing Techniques for Artificial Learning (AI)/Machine Learning (ML)-Readiness: Systematic Review of Wearable Sensor Data in Cancer Care An evaluative technique for drought impact on variation in agricultural LULC using remote sensing and machine learning The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms Toward Nano- and Microplastic Sensors: Identification of Nano- and Microplastic Particles via Artificial Intelligence Combined with a Plasmonic Probe Functionalized with an Estrogen Receptor Irrigation intelligence-enabling a cloud-based Internet of Things approach for enhanced water management in agriculture Binding-Free Taste Visualization with Plasmonic Metasurfaces Exploring the potential of machine learning in gynecological care: a review Geographic-Scale Coffee Cherry Counting with Smartphones and Deep Learning Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review Artificial intelligence and machine learning responses to COVID-19 related inquiries Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric Analysis Metabolic sensing in AgRP regulates sucrose preference and dopamine release in the nucleus accumbens Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort Machine Learning-Based Prediction of Helicobacter pylori Infection Study in Adults Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review Prediction of the Need for Anticonvulsants in the Management of Orofacial Neuropathic Pain Using Machine Learning A non-invasive method to determine core temperature for cats and dogs using surface temperatures based on machine learning Trustworthy Precision Medicine: An Interpretable Approach to Detecting Anomalous Behavior of IoT Devices Predicting Individual Response to a Web-Based Positive Psychology Intervention: A Machine Learning Approach Training an Ising machine with equilibrium propagation Machine learning identification of edible vegetable oils from fatty acid compositions and hyperspectral images Classification of the quality of canine and feline ventrodorsal and dorsoventral thoracic radiographs through machine learning Low hysteresis, water retention, anti-freeze multifunctional hydrogel strain sensor for human-machine interfacing and real-time sign language translation Use of artificial intelligence to develop predictive algorithms of cough and PCR-confirmed COVID-19 infections based on inputs from clinical-grade wearable sensors Machine learning, deep learning and hernia surgery. Are we pushing the limits of abdominal core health? A qualitative systematic review A roadmap for model-based bioprocess development Machine learning in the prediction and detection of new-onset atrial fibrillation in ICU: a systematic review Machine learning and artificial intelligence within pediatric autoimmune diseases: applications, challenges, future perspective A supervised, externally validated machine learning model for artifact and drainage detection in high-resolution intracranial pressure monitoring data Predicting Treatment Outcome Based on Resting-State Functional Connectivity in Internalizing Mental Disorders: A Systematic Review and Meta-Analysis Sustainable Sea of Internet of Things: Wind Energy Harvesting System for Unmanned Surface Vehicles Machine learning-based prediction of sertraline concentration in patients with depression through therapeutic drug monitoring Artificial intelligence in positive mental health: a narrative review Protocol to explain support vector machine predictions via exact Shapley value computation Construction of influencing factor segmentation and intelligent prediction model of college students' cell phone addiction model based on machine learning algorithm The predictive accuracy of machine learning for the risk of death in HIV patients: a systematic review and meta-analysis An interpretable ensemble structure with a non-iterative training algorithm to improve the predictive accuracy of healthcare data analysis The application of different machine learning models based on PET/CT images and EGFR in predicting brain metastasis of adenocarcinoma of the lung Digital applications for diet monitoring, planning, and precision nutrition for citizens and professionals: a state of the art "Intelligent tutoring effects on induced emotions and cognitive load of learning-disabled learners" "Intelligent tutoring effects on induced emotions and cognitive load of learning-disabled learners" A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health Gambling Environment Exposure Increases Temporal Discounting but Improves Model-Based Control in Regular Slot-Machine Gamblers COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal Application of artificial intelligence and machine learning techniques to the analysis of dynamic protein sequences Leveraging physics-based and explainable machine learning approaches to quantify the relative contributions of rain and air pollutants to wet deposition Artificial intelligence- image learning and its applications in neurooncology: a review
Evidence Blueprint
Sensors, Vol. 22, Pages 2229: Machine Learning Meets Compressed Sensing in Vibration-Based Monitoring
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☊ AI-Driven Related Evidence Nodes
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Sensors, Vol. 22, Pages 2229: Machine Learning Meets Compressed Sensing in Vibration-Based Monitoring
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
Reconstruction of 3D knee MRI using deep learning and compressed sensing: a validation study on healthy volunteers Flexible Conformally Bioadhesive MXene Hydrogel Electronics for Machine Learning-Facilitated Human-Interactive Sensing New Electronic Tongue Sensor Array System for Accurate Liquor Beverage Classification Crescent Antennas as Sensors: Case of Sensing Brain Pathology Application of Machine Learning Algorithms to Classify Peruvian Pisco Varieties Using an Electronic Nose Upconversion-Luminescent Fiber Microchannel Sensors for Temperature Monitoring at High Spatial Resolution in the Brains of Freely Moving Animals Researchers successfully train a machine learning model in outer space for the first time Artificial Q-Grader: Machine Learning-Enabled Intelligent Olfactory and Gustatory Sensing System Machine Learning-Based Aggression Detection in Children with ADHD Using Sensor-Based Physical Activity Monitoring Identification of motor progression in Parkinson's disease using wearable sensors and machine learning Optical fiber sensors for posture monitoring, ulcer detection and control in a wheelchair: a state-of-the-art Artificial Intelligence and Deep Learning in Sensors and Applications Machine learning approaches for early detection of non-alcoholic steatohepatitis based on clinical and blood parameters Reduction of ADC bias in diffusion MRI with deep learning-based acceleration: A phantom validation study at 3.0 T Integrated smart dust monitoring and prediction system for surface mine sites using IoT and machine learning techniques 3D architecture and a bicellular mechanism of touch detection in mechanosensory corpuscle Fingerprinting black tea: When spectroscopy meets machine learning a novel workflow for geographical origin identification ORA collection on AI & Machine Learning launch event Bioinspired Colorimetric Double Inverse Opal Photonic Crystal Indicators for Ethanol Concentration Sensing in Fermentation Engineering Applying machine learning to international drug monitoring: classifying cannabis resin collected in Europe using cannabinoid concentrations An overview of clinical machine learning applications in neurology The Sixth Sense: Self-nucleic acid sensing in the brain Machine Learning Identifies Smartwatch-Based Physiological Biomarker for Predicting Disruptive Behavior in Children: A Feasibility Study Tool Condition Monitoring Using Machine Tool Spindle Current and Long Short-Term Memory Neural Network Model Analysis Pb2+-Selective Nanoemulsion-Integrated Single-Entity Electrochemistry for Ultrasensitive Sensing of Blood Lead Machine learning in internet financial risk management: A systematic literature review A primer on the use of machine learning to distil knowledge from data in biological psychiatry Improved green and red GRAB sensors for monitoring dopaminergic activity in vivo A refined approach for evaluating small datasets via binary classification using machine learning Continuous Assessment of Function and Disability via Mobile Sensing: Real-World Data-Driven Feasibility Study Carbon Nanofibrous Aerogels Derived from Electrospun Polyimide for Multifunctional Piezoresistive Sensors Attention capture by own name decreases with speech compression Implantable Resistive Strain Sensor-Decorated Colloidal Crystal Hydrogel Catheter for Intestinal Tract Pressure Sensing Data Preprocessing Techniques for Artificial Learning (AI)/Machine Learning (ML)-Readiness: Systematic Review of Wearable Sensor Data in Cancer Care An evaluative technique for drought impact on variation in agricultural LULC using remote sensing and machine learning The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms Portable electrical impedance tomography (EIT) system stages non-alcoholic fatty liver disease for potential screening and monitoring at home Identification of autism spectrum disorder based on electroencephalography: A systematic review Improved Ethanol Sensing Performance of α-MnO2 Nanorods at Room Temperature Enabled through PPy Embedding Using machine learning to forecast domestic homicide via police data and super learning Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging Olfactory system-inspired electronic nose system using numerous low-cost homogenous and hetrogenous sensors Toward Nano- and Microplastic Sensors: Identification of Nano- and Microplastic Particles via Artificial Intelligence Combined with a Plasmonic Probe Functionalized with an Estrogen Receptor Irrigation intelligence-enabling a cloud-based Internet of Things approach for enhanced water management in agriculture Binding-Free Taste Visualization with Plasmonic Metasurfaces Health Care Professionals' Views on the Use of Passive Sensing, AI, and Machine Learning in Mental Health Care: Systematic Review With Meta-Synthesis Valproic acid monitoring: Serum prediction using a machine learning framework from multicenter real-world data Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study Mobile sensing to advance tumor modeling in cancer patients: A conceptual framework Exploring the potential of machine learning in gynecological care: a review Geographic-Scale Coffee Cherry Counting with Smartphones and Deep Learning Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review Artificial intelligence and machine learning responses to COVID-19 related inquiries Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric Analysis Machine-Learning Methods for Speech and Handwriting Detection Using Neural Signals: A Review Implementation of Remote Activity Sensing to Support a Rehabilitation Aftercare Program: Observational Mixed Methods Study With Patients and Health Care Professionals Machine learning techniques in diagnostics and prediction of the clinical features of schizophrenia: a narrative review Metabolic sensing in AgRP regulates sucrose preference and dopamine release in the nucleus accumbens Depression deconstructed: Wearables and passive digital phenotyping for analyzing individual symptoms New study uses machine learning to bridge the reality gap in quantum devices Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort Inference of social cognition in schizophrenia patients with neurocognitive domains and neurocognitive tests using automated machine learning Molecularly Imprinted Electrochemical Sensors Based on Ti3C2Tx-MXene and Graphene Composite Modifications for Ultrasensitive Cortisol Detection A perylene diimide electrochemical probe with persulfate as a signal enhancer for dopamine sensing