All Stories

  1. A comprehensive benchmark of spatial encoding methods for tabular data with deep neural networks
  2. TINTOlib: A Python library for transforming tabular data into synthetic images for deep neural networks
  3. Hybrid Neural Network-Based Indoor Localisation System for Mobile Robots Using CSI Data in a Robotics Simulator
  4. On the Significance of Graph Neural Networks With Pretrained Transformers in Content‐Based Recommender Systems for Academic Article Classification
  5. Identification of antibiotic resistance profiles in diabetic foot infections: A machine learning proof-of-concept analysis
  6. MIMO-Based Indoor Localisation With Hybrid Neural Networks: Leveraging Synthetic Images From Tidy Data for Enhanced Deep Learning
  7. Frost forecasting through machine learning algorithms
  8. Frost Forecasting through Machine Learning Algorithms.
  9. From cloud and fog computing to federated-fog computing: A comparative analysis of computational resources in real-time IoT applications based on semantic interoperability
  10. A multimodal approach using fundus images and text meta-data in a machine learning classifier with embeddings to predict years with self-reported diabetes – An exploratory analysis
  11. Generative Adversarial Networks for text-to-face synthesis & generation: A quantitative–qualitative analysis of Natural Language Processing encoders for Spanish
  12. Cost-Effective Advanced Remote Diagnostics of Sucker Rod Pumping Wells From Dynamometric Charts
  13. BeeGOns!: A Wireless Sensor Node for Fog Computing in Smart City Applications
  14. Frost Forecasting Through Machine Learning Algorithms
  15. TINTO: Converting Tidy Data into image for classification with 2-Dimensional Convolutional Neural Networks
  16. A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation
  17. Phenotypes of non-alcoholic fatty liver disease (NAFLD) and all-cause mortality
  18. Phenotypes of non-alcoholic fatty liver disease (NAFLD) and all-cause mortality: unsupervised machine learning analysis of NHANES III
  19. Government plans in the 2016 and 2021 Peruvian presidential elections: A natural language processing analysis of the health chapters
  20. Street images classification according to COVID-19 risk in Lima, Peru: a convolutional neural networks feasibility analysis
  21. Development, validation, and application of a machine learning model to estimate salt consumption in 54 countries
  22. Government plans in the 2016 and 2021 Peruvian presidential elections: A natural language processing analysis of the health chapters
  23. A Deep Learning Approach Using Blurring Image Techniques for Bluetooth-Based Indoor Localisation
  24. Government plans in the 2016 and 2021 Peruvian presidential elections: A natural language processing analysis of the health chapters
  25. Author response: Development, validation, and application of a machine learning model to estimate salt consumption in 54 countries
  26. On the relevance of the metadata used in the semantic segmentation of indoor image spaces
  27. Government plans in the 2016 and 2021 Peruvian presidential elections: A natural language processing analysis of the health chapters
  28. An Analysis of Computational Resources of Event-Driven Streaming Data Flow for Internet of Things: A Case Study
  29. Estimating salt consumption in 49 low- and middle-income countries: Development, validation and application of a machine learning model
  30. Government plans in the 2016 and 2021 Peruvian presidential elections: A natural language processing analysis of the health chapters
  31. An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications
  32. Clusters of people with type 2 diabetes in the general population: unsupervised machine learning approach using national surveys in Latin America and the Caribbean
  33. Using country-level variables to classify countries according to the number of confirmed COVID-19 cases: An unsupervised machine learning approach
  34. SAVIA: Smart City Citizen Security Application based on Fog Computing Architecture
  35. Comparative Study of Supervised Learning and Metaheuristic Algorithms for the Development of Bluetooth-Based Indoor Localization Mechanisms
  36. Evaluación, auditoría y desempeño de las políticas públicas de Lima como Smart City según el estándar ISO 3712:2014
  37. More efficient wireless sensors for the new Fog Computing paradigm
  38. Seguridad ciudadana usando algoritmos de aprendizaje no supervisado mediante datos abiertos
  39. Supervised learning algorithms for indoor localization fingerprinting using BLE4.0 beacons
  40. An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms
  41. An Analysis of Multiple Criteria and Setups for Bluetooth Smartphone-Based Indoor Localization Mechanism
  42. Citizen security using machine learning algorithms through open data
  43. WSN-based Localization Systems
  44. Ray: Smart Indoor/Outdoor Routes for the Blind Using Bluetooth 4.0 BLE