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Sensors, Vol. 22, Pages 2229: Machine Learning Meets Compressed Sensing in Vibration-Based Monitoring
🌐 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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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