All Stories

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