All Stories

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