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Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction.
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- Sustainability (2071-1050), 2024, v. 16, n. 5, p. 1925, doi. 10.3390/su16051925
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- Article
A Comprehensive Review on Machine Learning Techniques for Forecasting Wind Flow Pattern.
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- Sustainability (2071-1050), 2023, v. 15, n. 17, p. 12914, doi. 10.3390/su151712914
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- Article
Novel ANOVA-Statistic-Reduced Deep Fully Connected Neural Network for the Damage Grade Prediction of Post-Earthquake Buildings.
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- Sensors (14248220), 2023, v. 23, n. 14, p. 6439, doi. 10.3390/s23146439
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- Article
Forecasting Carbon Dioxide Emissions of Light-Duty Vehicles with Different Machine Learning Algorithms.
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- Electronics (2079-9292), 2023, v. 12, n. 10, p. 2288, doi. 10.3390/electronics12102288
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- Article
Deep Learning Activation Layer-Based Wall Quality Recognition Using Conv2D ResNet Exponential Transfer Learning Model.
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- Mathematics (2227-7390), 2022, v. 10, n. 23, p. 4602, doi. 10.3390/math10234602
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- Article
A Hybrid Speech Enhancement Algorithm for Voice Assistance Application.
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- Sensors (14248220), 2021, v. 21, n. 21, p. 7025, doi. 10.3390/s21217025
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- Article
Surface crack detection using deep learning with shallow CNN architecture for enhanced computation.
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- Neural Computing & Applications, 2021, v. 33, n. 15, p. 9289, doi. 10.1007/s00521-021-05690-8
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- Article
Wind-Induced Pressure Prediction on Tall Buildings Using Generative Adversarial Imputation Network.
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- Sensors (14248220), 2021, v. 21, n. 7, p. 2515, doi. 10.3390/s21072515
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- Article
Enhanced pedestrian detection using optimized deep convolution neural network for smart building surveillance.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2020, v. 24, n. 22, p. 17081, doi. 10.1007/s00500-020-04999-1
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- Article
Intelligent video analysis for enhanced pedestrian detection by hybrid metaheuristic approach.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2020, v. 24, n. 16, p. 12303, doi. 10.1007/s00500-020-04674-5
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- Article