| A systematic survey of Internet of Things frameworks for smart city applications JJP Abadía, C Walther, A Osman, K Smarsly Sustainable Cities and Society 83, 103949, 2022 | 102 | 2022 |
| Fault diagnosis in structural health monitoring systems using signal processing and machine learning techniques H Fritz, JJ Peralta Abadía, D Legatiuk, M Steiner, K Dragos, K Smarsly Structural health monitoring based on data science techniques, 143-164, 2022 | 25 | 2022 |
| Explainable artificial intelligence to advance structural health monitoring D Luckey, H Fritz, D Legatiuk, JJ Peralta Abadía, C Walther, K Smarsly Structural health monitoring based on data science techniques, 331-346, 2022 | 16 | 2022 |
| Big data life cycle in shop-floor–trends and challenges T Pulikottil, LA Estrada-Jimenez, JJP Abadía, A Carrera-Rivera, A Torayev, ... Ieee Access 11, 30008-30026, 2023 | 15 | 2023 |
| Mobile structural health monitoring using quadruped robots K Smarsly, M Worm, K Dragos, JJP Abadía, M Wenner, O Hahn Health Monitoring of Structural and Biological Systems XVI 12048, 404-417, 2022 | 7 | 2022 |
| An introduction and systematic review on machine learning for smart environments/cities: An IoT approach JJ Peralta Abadía, K Smarsly Machine Learning for Smart Environments/Cities: An IoT Approach, 1-23, 2022 | 7 | 2022 |
| Automated decision making in structural health monitoring using explainable artificial intelligence JJP Abadíaa, H Fritza, G Dadoulisb, K Dragosa, K Smarslya EG-ICE 2021 Workshop on Intelligent Computing in Engineering Berlin, 432, 2021 | 6 | 2021 |
| Internet of Things frameworks for smart city applications—a systematic review JJ Peralta Abadía, K Smarsly Computing in Civil Engineering 2021, 83-89, 2021 | 6 | 2021 |
| A meta-learning strategy based on deep ensemble learning for tool condition monitoring of machining processes JJP Abadía, MC Zabaljauregui, FL Barrenechea Procedia CIRP 126, 429-434, 2024 | 1 | 2024 |
| Trends and recommendations for IoT-based smart city applications JJP Abadia, K Smarsly International Conference on Computing in Civil and Building Engineering, 3-10, 2022 | 1 | 2022 |
| Sensor fault diagnosis coupling deep learning and wavelet transforms J Peralta Abadia, H Fritz, K Dragos, K Smarsly 13th International Workshop on Structural Health Monitoring, IWSHM 2021, 779-785, 2022 | 1 | 2022 |
| OptiTwin: Data-Driven Machining Process Optimization Platform for SMEs JJP Abadía, FL Barrenechea, MC Zabaljauregui, XB Aiestaran, ... 2024 IEEE 29th International Conference on Emerging Technologies and Factory …, 2024 | | 2024 |
| TOOL CONDITION MONITORING IN MACHINING USING ROBUST RESIDUAL NEURAL NETWORKS JJ Peralta-Abadía, M Cuesta-Zabaljauregui, F Larrinaga-Barrenechea DYNA 99 (5), 2024 | | 2024 |
| Monitorización del estado de la herramienta en mecanizado mediante redes neuronales residuales robustas JJ Peralta Abadía, M CUESTA ZABALAJAUREGUI, F Larrinaga Dyna, 2024 | | 2024 |
| Optimal Manufacturing Configuration Selection: Sequential Decision Making and Optimization using Reinforcement Learning A Torayev, JJP Abadia, G Martínez-Arellano, M Cuesta, JC Chaplin, ... Procedia CIRP 120, 986-991, 2023 | | 2023 |
| An explainable artificial intelligence approach for damage detection in structural health monitoring J Peralta Abadia, H Fritz, GI Dadoulis, K Dragos 32nd Forum Bauinformatik 2021, 2021 | | 2021 |
| Cálculo de la complejidad de los ATCs en un sector mediante clustering JJ Peralta Abadía ETSI_Informatica, 2019 | | 2019 |
| Análisis financiero para la apertura de una nueva sucursal de Autoservicio Joax SA, en la provincia de San José JJ Peralta Abadía | | 2013 |
| An explainable artificial intelligence approach for damage detection in structural health monitoring JJP Abadía, H Fritz, G Dadoulis, K Dragos | | |
