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Sensors, Vol. 22, Pages 615: Novel Model Based on Artificial Neural Networks to Predict Short-Term Temperature Evolution in Museum Environment
🌐 90 Days
VR Related Evidence Matrix
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- Short-term prediction of PM2.5 concentration by hybrid neural network based on sequence decomposition
- Long-term water demand forecasting using artificial intelligence models in the Tuojiang River basin, China
- Artificial Intelligence and Deep Learning in Sensors and Applications
- Deep Learning and Multimodal Artificial Intelligence in Orthopaedic Surgery
- Exploring Types of Photonic Neural Networks for Imaging and Computing-A Review
- Development of Novel Methods for QSAR Modeling by Machine Learning Repeatedly: A Case Study on Drug Distribution to Each Tissue
- Measuring volume fractions of a three-phase flow without separation utilizing an approach based on artificial intelligence and capacitive sensors
- Two-Terminal Perovskite Optoelectronic Synapse for Rapid Trained Neuromorphic Computation with High Accuracy
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- Pre-acquired functional connectivity predicts choice inconsistency
- Functional Neural Networks for High-Dimensional Genetic Data Analysis
- A short- and medium-term forecasting model for roof PV systems with data pre-processing
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- Neural Cell-types and Circuits Linking Thermoregulation and Social Behavior
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- Environmentally Robust Triboelectric Tire Monitoring System for Self-Powered Driving Information Recognition via Hybrid Deep Learning in Time-Frequency Representation
- Implementation of a High-Accuracy Neural Network-Based Pupil Detection System for Real-Time and Real-World Applications
- Short-term photovoltaic energy generation for solar powered high efficiency irrigation systems using LSTM with Spatio-temporal attention mechanism
- Strategy evolution on higher-order networks
- Artificial Neural Network and Response Surface Methodology for Predicting and Maximizing Biodiesel Production from Waste Oil with KI/CaO/Al2O3 Catalyst in a Fixed Bed Reactor
- Optimizing Neural Networks for Chemical Reaction Prediction: Insights from Methylene Blue Reduction Reactions
- Groundwater salinization risk assessment using combined artificial intelligence models
- Graph Artificial Intelligence in Medicine
- Non-equivalence of sub-tasks of the Rey-Osterrieth Complex Figure Test with convolutional neural networks to discriminate mild cognitive impairment
- ESG guidance and artificial intelligence support for power systems analytics in the energy industry
- Hymenopteran-specific TRPA channel from the Texas leaf cutter ant (Atta texana) is heat and cold activated and expression correlates with environmental temperature
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- Structural Evolution of Bacterial Polyphosphate Degradation Enzyme for Phosphorus Cycling
- Structural Evolution of Bacterial Polyphosphate Degradation Enzyme for Phosphorus Cycling
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- Feasibility of Deploying Home-Based Digital Technology, Environmental Sensors, and Web-Based Surveys for Assessing Behavioral Symptoms and Identifying Their Precipitants in Older Adults: Longitudinal, Observational Study
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- Combining deep neural networks, a rule-based expert system and targeted manual coding for ICD-10 coding causes of death of French death certificates from 2018 to 2019
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Sensors, Vol. 22, Pages 615: Novel Model Based on Artificial Neural Networks to Predict Short-Term Temperature Evolution in Museum Environment
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Sensors, Vol. 22, Pages 615: Novel Model Based on Artificial Neural Networks to Predict Short-Term Temperature Evolution in Museum Environment
🌐 365 Days
VR Related Evidence Matrix
- Tool Condition Monitoring Using Machine Tool Spindle Current and Long Short-Term Memory Neural Network Model Analysis
- Enhancing neural encoding models for naturalistic perception with a multi-level integration of deep neural networks and cortical networks
- Immersive experiences in museums for elderly with cognitive disorders: a user-centered design approach
- Artificial neural networks as a psychiatric instrument
- Lifelong Learning With Cycle Memory Networks
- Associations between short-term ambient temperature exposure and emergency department visits for amphetamine, cocaine, and opioid use in California from 2005 to 2019
- Upconversion-Luminescent Fiber Microchannel Sensors for Temperature Monitoring at High Spatial Resolution in the Brains of Freely Moving Animals
- Predicting Blood Glucose Levels with Organic Neuromorphic Micro-Networks
- Short-term prediction of PM2.5 concentration by hybrid neural network based on sequence decomposition
- Connectome-based reservoir computing with the conn2res toolbox
- Long-term water demand forecasting using artificial intelligence models in the Tuojiang River basin, China
- Artificial Intelligence and Deep Learning in Sensors and Applications
- Deep Learning and Multimodal Artificial Intelligence in Orthopaedic Surgery
- Exploring Types of Photonic Neural Networks for Imaging and Computing-A Review
- Development of Novel Methods for QSAR Modeling by Machine Learning Repeatedly: A Case Study on Drug Distribution to Each Tissue
- Measuring volume fractions of a three-phase flow without separation utilizing an approach based on artificial intelligence and capacitive sensors
- Two-Terminal Perovskite Optoelectronic Synapse for Rapid Trained Neuromorphic Computation with High Accuracy
- Motion sensitive network for action recognition in control and decision-making of autonomous systems
- A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning
- Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses
- Pre-acquired functional connectivity predicts choice inconsistency
- West African archaeology to benefit from partnership of Oxford School of Archaeology and Museum of West African Art.
- Morphology-based molecular classification of spinal cord ependymomas using deep neural networks
- Functional Neural Networks for High-Dimensional Genetic Data Analysis
- A short- and medium-term forecasting model for roof PV systems with data pre-processing
- Neural Cell-types and Circuits Linking Thermoregulation and Social Behavior
- Neural Cell-types and Circuits Linking Thermoregulation and Social Behavior
- Integrated AI-driven optimization of Fenton process for the treatment of antibiotic sulfamethoxazole: Insights into mechanistic approach
- Environmentally Robust Triboelectric Tire Monitoring System for Self-Powered Driving Information Recognition via Hybrid Deep Learning in Time-Frequency Representation
- Implementation of a High-Accuracy Neural Network-Based Pupil Detection System for Real-Time and Real-World Applications
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- Short-term photovoltaic energy generation for solar powered high efficiency irrigation systems using LSTM with Spatio-temporal attention mechanism
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- Strategy evolution on higher-order networks
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- Artificial Neural Network and Response Surface Methodology for Predicting and Maximizing Biodiesel Production from Waste Oil with KI/CaO/Al2O3 Catalyst in a Fixed Bed Reactor
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- Optimizing Neural Networks for Chemical Reaction Prediction: Insights from Methylene Blue Reduction Reactions
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- Groundwater salinization risk assessment using combined artificial intelligence models
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- ESG guidance and artificial intelligence support for power systems analytics in the energy industry
- Projections of Temperature-Related Suicide under Climate Change Scenarios in Japan
- Case study on the influence of serving temperature on the aroma release and perception of Huangjiu, a fermented alcoholic beverage
- Language First, Cognition Later: Different Trajectories of Subcomponents of the Future-Reading Network in Processing Narratives from Kindergarten to Adolescence
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- Deep learning tools to accelerate antibiotic discovery
- Hymenopteran-specific TRPA channel from the Texas leaf cutter ant (Atta texana) is heat and cold activated and expression correlates with environmental temperature
- Artificial Q-Grader: Machine Learning-Enabled Intelligent Olfactory and Gustatory Sensing System
- Personality traits as predictors of recovery among patients with substance use disorder
- Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection based on Phasic Electrodermal Activity