CARLOS
MATEU PIÑOL
CON
Publicacións (55) Publicacións de CARLOS MATEU PIÑOL
2024
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A data-driven framework for designing a renewable energy community based on the integration of machine learning model with life cycle assessment and life cycle cost parameters
Applied Energy, Vol. 358
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Incorporating Citizen Science to Enhance Public Awareness in Smart Cities: The Case Study of Balaguer
Applied Sciences (Switzerland), Vol. 14, Núm. 6
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Sewer sediment deposition prediction using a two-stage machine learning solution
Journal of Hydroinformatics, Vol. 26, Núm. 4, pp. 727-743
2023
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A Novel Deep Learning-Based Technique for Smart Control of Heat Pumps Integrated into Solar District Heating Systems
36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023
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Machine learning solutions in sewer systems: a bibliometric analysis
Urban Water Journal, Vol. 20, Núm. 1, pp. 1-14
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Modeling of thermal conductivity of concrete by using artificial neural networks approaches
36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2023
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Pneumatic Urban Waste Collection Systems: A Review
Applied Sciences (Switzerland), Vol. 13, Núm. 2
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Renovation assessment of building districts: Case studies and implications to the positive energy districts definition
Energy and Buildings, Vol. 296
2022
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Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning
Computers and Security, Vol. 113
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Fusing feature engineering and deep learning: A case study for malware classification
Expert Systems with Applications, Vol. 207
2021
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Auditing static machine learning anti-Malware tools against metamorphic attacks
Computers and Security, Vol. 102
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Sediment level prediction of a combined sewer system using spatial features
Sustainability (Switzerland), Vol. 13, Núm. 7
2020
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Approach for the analysis of TES technologies aiming towards a circular economy: Case study of building-like cubicles
Renewable Energy, Vol. 150, pp. 589-597
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HYDRA: A multimodal deep learning framework for malware classification
Computers and Security, Vol. 95
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Orthrus: A Bimodal Learning Architecture for Malware Classification
Proceedings of the International Joint Conference on Neural Networks
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The more the merrier? Number of reviews versus score on TripAdvisor and Booking.com
International Journal of Hospitality and Tourism Administration, Vol. 21, Núm. 1, pp. 1-14
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The rise of machine learning for detection and classification of malware: Research developments, trends and challenges
Journal of Network and Computer Applications, Vol. 153
2019
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A Hierarchical Convolutional Neural Network for Malware Classification
Proceedings of the International Joint Conference on Neural Networks
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A Hierarchical Convolutional Neural Network for Malware Classification
2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
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An android malware detection framework using graph embeddings and convolutional neural networks
Frontiers in Artificial Intelligence and Applications