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Applied Sciences, Vol. 12, Pages 7137: Solving Task Scheduling Problems in Dew Computing via Deep Reinforcement Learning
🌐 90 Days
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- Teaching Constant Rate-of-Change Problem-Solving to Secondary Students With or at Risk of Learning Disabilities
- Teaching Constant Rate-of-Change Problem-Solving to Secondary Students With or at Risk of Learning Disabilities
- Layer-selective deep representation to improve esophageal cancer classification
- Dopamine Release in the Nucleus Accumbens Core Encodes the General Excitatory Components of Learning
- The selective serotonin reuptake inhibitor sertraline alters learning from aversive reinforcements in patients with depression: evidence from a randomized controlled trial
- Practical Application of Deep Learning in Diagnostic Neuropathology-Reimagining a Histological Asset in the Era of Precision Medicine
- Peripheral vision and crowding in mental maze-solving
- Examining Cognitive Disengagement Syndrome in Relation to Social Problem Solving in Young Adults
- Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review
- Spintronics-Based Neuromorphic and Ising Computing
- 5-HT 2A and 5-HT 2C receptor antagonism differentially modulate reinforcement learning and cognitive flexibility: behavioural and computational evidence
- 5-HT 2A and 5-HT 2C receptor antagonism differentially modulate reinforcement learning and cognitive flexibility: behavioural and computational evidence
- Subject Pedagogy Seminar: Curiosity-based problem solving and problem posing
- Deep Learning and Multimodal Artificial Intelligence in Orthopaedic Surgery
- Gray matter volume of functionally relevant primary motor cortex is causally related to learning a hand motor task
- VIEW: An Assessment of Problem-Solving Style - 20 Years of Progress
- Deep Photonic Reservoir Computer for Speech Recognition
- Unveiling value patterns via deep reinforcement learning in heterogeneous data analytics
- Dimensions of Parenting and Children's Conduct Problems: The Importance of Considering Children's Callous-Unemotional Traits
- Providing insights into health data science education through artificial intelligence
- Assessment of changes in vessel area during needle manipulation in microvascular anastomosis using a deep learning-based semantic segmentation algorithm: A pilot study
- Artificial Intelligence and Deep Learning in Sensors and Applications
- A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis
- Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data
- Dual hybrid frameworks combining graph convolutional network with decoding for covering location problem
- Energy-efficient superparamagnetic Ising machine and its application to traveling salesman problems
- An interpretable ensemble structure with a non-iterative training algorithm to improve the predictive accuracy of healthcare data analysis
- Impact of Transfer Learning Using Local Data on Performance of a Deep Learning Model for Screening Mammography
- Residual-Based Multi-Stage Deep Learning Framework for Computer-Aided Alzheimer's Disease Detection
- Gambling Environment Exposure Increases Temporal Discounting but Improves Model-Based Control in Regular Slot-Machine Gamblers
- Application of deep learning in isolated tooth identification
- Conquering Class Imbalances in Deep Learning-based Segmentation of Dental Radiographs with Different Loss Functions
- The role of sleep in the link between cannabis use and memory function: evidence from a cross-sectional study
- Variable data structures and customized deep learning surrogates for computationally efficient and reliable characterization of buried objects
- Dense Sample Deep Learning
- Dense Sample Deep Learning
- An improved method for diagnosis of Parkinson's disease using deep learning models enhanced with metaheuristic algorithm
- Histological tissue classification with a novel statistical filter-based convolutional neural network
- Histological tissue classification with a novel statistical filter-based convolutional neural network
- Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry
- Clinical VMAT machine parameter optimization for localized prostate cancer using deep reinforcement learning
- Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric Analysis
- Examination of clinical variables affecting resurgence: A reanalysis of 46 applications
- Examination of clinical variables affecting resurgence: A reanalysis of 46 applications
- Deep Learning-Assisted Spectrum-Structure Correlation: State-of-the-Art and Perspectives
- Different learning aberrations relate to delusion-like beliefs with different contents
- Different learning aberrations relate to delusion-like beliefs with different contents
- Reinforcement learning informs optimal treatment strategies to limit antibiotic resistance
- Data set terminology of deep learning in medicine: a historical review and recommendation
- Anatomic attention regions via optimal anatomy modeling and recognition for DL-based image segmentation
- Predicting response to neoadjuvant chemotherapy for colorectal liver metastasis using deep learning on prechemotherapy cross-sectional imaging
- Exploring Types of Photonic Neural Networks for Imaging and Computing-A Review
- Deep learning for structure based drug discovery
- Deep learning for structure based drug discovery
- Deep learning for structure based drug discovery
- A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis
- Combating school bullying through multi-role experience-based virtual scenario learning model: Assessing empathy, problem-solving, and self-efficacy from a multi-stakeholder perspective
- Deep Deblurring in Teledermatology: Deep Learning Models Restore the Accuracy of Blurry Images' Classification
- A primer for quantum computing and its applications to healthcare and biomedical research
- Multimodal deep learning for dementia classification using text and audio
- Digital twins for understanding mechanisms of learning disabilities: Personalized deep neural networks reveal impact of neuronal hyperexcitability
- Digital twins for understanding mechanisms of learning disabilities: Personalized deep neural networks reveal impact of neuronal hyperexcitability
- SSTE: Syllable-Specific Temporal Encoding to FORCE-learn audio sequences with an associative memory approach
- Deep learning segmentation of non-perfusion area from color fundus images and AI-generated fluorescein angiography
Evidence Blueprint
Applied Sciences, Vol. 12, Pages 7137: Solving Task Scheduling Problems in Dew Computing via Deep Reinforcement Learning
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More Evidence
Applied Sciences, Vol. 12, Pages 7137: Solving Task Scheduling Problems in Dew Computing via Deep Reinforcement Learning
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
- Teaching Constant Rate-of-Change Problem-Solving to Secondary Students With or at Risk of Learning Disabilities
- Teaching Constant Rate-of-Change Problem-Solving to Secondary Students With or at Risk of Learning Disabilities
- A multi-task learning model with reinforcement optimization for ASD comorbidity discrimination
- Layer-selective deep representation to improve esophageal cancer classification
- Reliability of gamified reinforcement learning in densely sampled longitudinal assessments
- Computational mechanisms underlying motivation to earn symbolic reinforcers
- Dopamine Release in the Nucleus Accumbens Core Encodes the General Excitatory Components of Learning
- Modulation of Trust in Borderline Personality Disorder by Script-Based Imaginal Exposure to Betrayal
- Test-retest reliability of reinforcement learning parameters
- Assistive Technology-Based Analysis of Students' Foreign Language Anxiety Using Distributed Machine Learning and Intelligent Affective Computing
- The selective serotonin reuptake inhibitor sertraline alters learning from aversive reinforcements in patients with depression: evidence from a randomized controlled trial
- Practical Application of Deep Learning in Diagnostic Neuropathology-Reimagining a Histological Asset in the Era of Precision Medicine
- OPTIMIZATION OF PRE-HOSPITAL FIRST AID MANAGEMENT STRATEGIES FOR PATIENTS WITH INFECTIOUS DISEASES IN HUIZHOU CITY USING DEEP LEARNING ALGORITHM
- Exploring the steps of learning: computational modeling of initiatory-actions among individuals with attention-deficit/hyperactivity disorder
- Active reinforcement learning versus action bias and hysteresis: control with a mixture of experts and nonexperts
- Peripheral vision and crowding in mental maze-solving
- Application of deep learning in radiation therapy for cancer
- Examining Cognitive Disengagement Syndrome in Relation to Social Problem Solving in Young Adults
- Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review
- Spintronics-Based Neuromorphic and Ising Computing
- 5-HT 2A and 5-HT 2C receptor antagonism differentially modulate reinforcement learning and cognitive flexibility: behavioural and computational evidence
- 5-HT 2A and 5-HT 2C receptor antagonism differentially modulate reinforcement learning and cognitive flexibility: behavioural and computational evidence
- Food restriction level and reinforcement schedule differentially influence behavior during acquisition and devaluation procedures in mice
- Time course of EEG power during creative problem-solving with insight or remote thinking
- Subject Pedagogy Seminar: Curiosity-based problem solving and problem posing
- Deep Learning and Multimodal Artificial Intelligence in Orthopaedic Surgery
- Deep Learning Based Walking Tasks Classification in Older Adults using fNIRS
- Deep Learning and Geriatric Mental Health
- Resurgence of destructive behavior following differential rates of alternative reinforcement
- Depression is associated with reduced outcome sensitivity in a dual valence, magnitude learning task
- MULTI-TASK DEEP LEARNING AND UNCERTAINTY ESTIMATION FOR PET HEAD MOTION CORRECTION
- Deep learning applications in vascular dementia using neuroimaging
- Gray matter volume of functionally relevant primary motor cortex is causally related to learning a hand motor task
- Kinome-Wide Virtual Screening by Multi-Task Deep Learning
- VIEW: An Assessment of Problem-Solving Style - 20 Years of Progress
- Integrating physics in deep learning algorithms: a force field as a PyTorch module
- Deep Photonic Reservoir Computer for Speech Recognition
- Differential deficits in social versus monetary reinforcement learning in schizophrenia: Associations with facial emotion recognition
- Unveiling value patterns via deep reinforcement learning in heterogeneous data analytics
- Dimensions of Parenting and Children's Conduct Problems: The Importance of Considering Children's Callous-Unemotional Traits
- Perseveration and Shifting in Obsessive-Compulsive Disorder as a Function of Uncertainty, Punishment, and Serotonergic Medication
- Providing insights into health data science education through artificial intelligence
- Exploration biases forelimb reaching strategies
- Assessment of changes in vessel area during needle manipulation in microvascular anastomosis using a deep learning-based semantic segmentation algorithm: A pilot study
- Artificial Intelligence and Deep Learning in Sensors and Applications
- Kinome-Wide Virtual Screening by Multi-Task Deep Learning
- A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis
- Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data
- The effects of prior exposure to prism lenses on de novo motor skill learning
- The neural correlates of individual differences in reinforcement learning during pain avoidance and reward seeking
- Dual hybrid frameworks combining graph convolutional network with decoding for covering location problem
- Greater reliance on model-free learning in adolescent anorexia nervosa: An examination of dual-system reinforcement learning
- A novel activation function based on DNA enzyme-free hybridization reaction and its implementation on nonlinear molecular learning systems
- A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System
- Energy-efficient superparamagnetic Ising machine and its application to traveling salesman problems
- Reward Learning as a Potential Mechanism for Improvement in Schizophrenia Spectrum Disorders Following Cognitive Remediation: Protocol for a Clinical, Nonrandomized, Pre-Post Pilot Study
- DeepPI: Alignment-Free Analysis of Flexible Length Proteins Based on Deep Learning and Image Generator
- An interpretable ensemble structure with a non-iterative training algorithm to improve the predictive accuracy of healthcare data analysis
- The promise of zero-shot learning for alcohol image detection: comparison with a task-specific deep learning algorithm
- Computational modelling of reinforcement learning and functional neuroimaging of probabilistic reversal for dissociating compulsive behaviours in gambling and cocaine use disorders
- Detecting schizophrenia with 3D structural brain MRI using deep learning
- Maternal selenium dietary supplementation alters sociability and reinforcement learning deficits induced by in utero exposure to maternal immune activation in mice
- The effects of trauma on feedback processing: an MEG study
- Impact of Transfer Learning Using Local Data on Performance of a Deep Learning Model for Screening Mammography