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Fractal memory and deep learning: A new paradigm for stock market prediction

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Carbon price combination prediction model based on improved variational mode decomposition
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Inflation, oil prices, and economic activity in recent crisis: Evidence from the UK
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Flattening power curves in smart buildings: Deep reinforcement learning for enhancing chiller performance and binary phase change materials
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QuantumLeap: Hybrid quantum neural network for financial predictions
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A novel deep reinforcement learning-based predictive energy management for fuel cell buses integrating speed and passenger prediction
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Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare
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Assessing the connectedness between green finance, financial developments, traditional energy consumption, economic growth, population aging and environmental degradation in RECP economies: A deep learning-based analysis
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Energy-related uncertainty and international stock market volatility
inferredcites →https://doi.org/10.1016/j.watres.2023.120518openalex-snapshot
Deep learning in wastewater treatment: a critical review
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Integrating numerical models with deep learning techniques for flood risk assessment
inferredcites →https://doi.org/10.1088/1748-9326/acd468openalex-snapshot
Scenario analysis of transportation carbon emissions in China based on machine learning and deep neural network models
inferredcites →https://doi.org/10.1097/rti.0000000000000387openalex-snapshot
Deep Learning Applications in Chest Radiography and Computed Tomography
inferredcites →https://doi.org/10.1108/jieb-05-2024-0058openalex-snapshot
A deep learning-based hybrid PLS-SEM-ANN approach for predicting factors improving AI-driven decision-making proficiency for future leaders
inferredcites →https://doi.org/10.1109/access.2021.3071654openalex-snapshot
Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
inferredcites →https://doi.org/10.1109/access.2024.3358182openalex-snapshot
Short-Term Load Forecasting in Smart Grids Using Hybrid Deep Learning
inferredcites →https://doi.org/10.1109/jproc.2023.3303358openalex-snapshot
Deep Reinforcement Learning for Smart Grid Operations: Algorithms, Applications, and Prospects
inferredcites →https://doi.org/10.1109/tce.2024.3371568openalex-snapshot
Load Forecasting-Based Learning System for Energy Management With Battery Degradation Estimation: A Deep Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/tnse.2024.3427672openalex-snapshot
Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-Term Load Forecasting in Electricity Wholesale Markets
inferredcites →https://doi.org/10.23917/jdl.v1i1.11157openalex-snapshot
Implementation of Deep Learning in Education: Towards Mindful, Meaningful, and Joyful Learning Experiences
inferredcites →https://doi.org/10.3390/computers15010045openalex-snapshot
PPE-EYE: A Deep Learning Approach to Personal Protective Equipment Compliance Detection
inferredcites →https://doi.org/10.3390/en18040811openalex-snapshot
Sustainable Geothermal Energy: A Review of Challenges and Opportunities in Deep Wells and Shallow Heat Pumps for Transitioning Professionals
inferredcites →https://doi.org/10.3390/en19051279openalex-snapshot
PreSAC-Net: A Hybrid Deep Reinforcement Learning Framework for Short-Term Household Load Forecasting and Energy Scheduling Optimization
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