Publicaciones (55) Publicaciones de CARLOS MATEU PIÑOL

2024

  1. 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

  2. Incorporating Citizen Science to Enhance Public Awareness in Smart Cities: The Case Study of Balaguer

    Applied Sciences (Switzerland), Vol. 14, Núm. 6

  3. Sewer sediment deposition prediction using a two-stage machine learning solution

    Journal of Hydroinformatics, Vol. 26, Núm. 4, pp. 727-743

2023

  1. 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

  2. Machine learning solutions in sewer systems: a bibliometric analysis

    Urban Water Journal, Vol. 20, Núm. 1, pp. 1-14

  3. 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

  4. Pneumatic Urban Waste Collection Systems: A Review

    Applied Sciences (Switzerland), Vol. 13, Núm. 2

  5. Renovation assessment of building districts: Case studies and implications to the positive energy districts definition

    Energy and Buildings, Vol. 296

2022

  1. Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning

    Computers and Security, Vol. 113

  2. Fusing feature engineering and deep learning: A case study for malware classification

    Expert Systems with Applications, Vol. 207

2021

  1. Auditing static machine learning anti-Malware tools against metamorphic attacks

    Computers and Security, Vol. 102

  2. Sediment level prediction of a combined sewer system using spatial features

    Sustainability (Switzerland), Vol. 13, Núm. 7

2020

  1. 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

  2. HYDRA: A multimodal deep learning framework for malware classification

    Computers and Security, Vol. 95

  3. Orthrus: A Bimodal Learning Architecture for Malware Classification

    Proceedings of the International Joint Conference on Neural Networks

  4. 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

  5. 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

  1. A Hierarchical Convolutional Neural Network for Malware Classification

    Proceedings of the International Joint Conference on Neural Networks

  2. A Hierarchical Convolutional Neural Network for Malware Classification

    2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

  3. An android malware detection framework using graph embeddings and convolutional neural networks

    Frontiers in Artificial Intelligence and Applications