All Stories

  1. Abordagem Baseada em Embeddings e Transformers para Vigilância Genômica do SARS-CoV-2
  2. Desvendando os Subgrupos Moleculares do Meduloblastoma: Uma Abordagem baseada em IA Explicável com XGBoost e SHAP
  3. Geração Automatizada de Coroas Dentárias Anteriores com Modelos de Difusão Baseado em Pontos e Reconstrução 3D
  4. Compressão Consciente de Modelos de Deep Learning Aplicada a Ambientes Kubernetes
  5. Compressão Consciente por Poda Seguida de Quantização Iterativa em Redes Convolucionais: Um Estudo no CIFAR -10
  6. Delayed growth of Ewing sarcoma tumors associated with reduced expression and activity of Trk receptors, PI3K, and IGF1R
  7. Optimizing Tactile Feedback Devices with Fixed-Point Computation on FPGA
  8. New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms
  9. Modulation of Stemness and Differentiation Regulators by Valproic Acid in Medulloblastoma Neurospheres
  10. A Real-Time Safe Navigation Proposal for Mobile Robots in Unknown Environments Using Meta-Heuristics
  11. Feature Selection in Cancer Classification: Utilizing Explainable Artificial Intelligence to Uncover Influential Genes in Machine Learning Models
  12. High Expression of GABAA Receptor β Subunit Genes Is Associated with Longer Overall Survival in Medulloblastoma
  13. Real-Time Simulator for Dynamic Systems on FPGA
  14. Modulation of Stemness and Differentiation Regulators by Valproic Acid in Medulloblastoma
  15. Application of Fuzzy Logic for Horizontal Scaling in Kubernetes Environments within the Context of Edge Computing
  16. Utilizing chaos game representation for enhanced classification of SARS-CoV-2 variants with stacked sparse autoencoders
  17. SHA-256 Hardware Proposal for IoT Devices in the Blockchain Context
  18. Stemness and Cell Cycle Regulators and Their Modulation by Retinoic Acid in Ewing Sarcoma
  19. Self-organizing maps applied to the analysis and identification of characteristics related to air quality monitoring stations and its pollutants
  20. A New and Lightweight R-Peak Detector Using the TEDA Evolving Algorithm
  21. Gene Sequence to 2D Vector Transformation for Virus Classification
  22. A Novel Training Strategy for Deep Learning Model Compression Applied to Automatic Modulation Classification
  23. Aprendizagem de máquina aplicada à estratificação de risco de mortalidade de recém-nascidos associados a partos prematuros
  24. IA explicável aplicada para identificar genes influentes na classificação do câncer por meio de dados de expressão gênica de RNA-Seq
  25. Obtenção de novos potenciais biomarcadores para o câncer de mama com o auxílio da inteligência artificial explicável
  26. Proposal of a Real-Time Test Platform for Tactile Internet Systems
  27. FPGA Applied to Latency Reduction for the Tactile Internet
  28. Analysis of Atmospheric Pollutant Data Using Self-Organizing Maps
  29. Fully Parallel Proposal of Naive Bayes on FPGA
  30. Convolutional Neural Network Applied to SARS-CoV-2 Sequence Classification
  31. New Machine Learning Approach for the Optimization of Nano-Hybrid Formulations
  32. Proposal of Smith-Waterman algorithm on FPGA to accelerate the forward and backtracking steps
  33. Prediction Techniques on FPGA for Latency Reduction on Tactile Internet
  34. Unsupervised Learning Applied to the Stratification of Preterm Birth Risk in Brazil with Socioeconomic Data
  35. A Novel Deep Neural Network Technique for Drug–Target Interaction
  36. A full-parallel implementation of Self-Organizing Maps on hardware
  37. Deep learning based on stacked sparse autoencoder applied to viral genome classification of SARS-CoV-2 virus
  38. Parallel Implementation of Smith-Waterman Algorithm on FPGA
  39. Fully Parallel Implementation of Otsu Automatic Image Thresholding Algorithm on FPGA
  40. Hardware Architecture Proposal for TEDA Algorithm to Data Streaming Anomaly Detection
  41. User Driven FPGA-Based Design Automated Framework of Deep Neural Networks for Low-Power Low-Cost Edge Computing
  42. Smart Design Nano-Hybrid Formulations by Machine Learning
  43. Distributed Genetic Algorithms for Low-Power, Low-Cost and Small-Sized Memory Devices
  44. Real-time Neural Networks Implementation Proposal for Microcontrollers
  45. Embedded genetic algorithm for low‐power, low‐cost, and low‐size‐memory devices
  46. Proposal of the CAD System for Melanoma Detection Using Reconfigurable Computing
  47. Chaos game representation dataset of SARS-CoV-2 genome
  48. Data stream dataset of SARS-CoV-2 genome
  49. Proposal of Takagi–Sugeno Fuzzy-PI Controller Hardware
  50. Comparative analyses of response surface methodology and artificial neural networks on incorporating tetracaine into liposomes
  51. Parallel Implementation of K-Means Algorithm on FPGA
  52. Proposal of the Tactile Glove Device
  53. Parallel Implementation on FPGA of Support Vector Machines Using Stochastic Gradient Descent
  54. A Parallel Implementation of Sequential Minimal Optimization on FPGA
  55. Control of airflow in ventilation systems using embedded systems on microcontrollers
  56. High-Performance Parallel Implementation of Genetic Algorithm on FPGA
  57. Taxonomy of FPGA-Based Topologies for Future Deep Learning Architectures
  58. Deep Neural Network Hardware Implementation Based on Stacked Sparse Autoencoder
  59. Parallel Implementation of Particle Swarm Optimization on FPGA
  60. Butterfly Neural Filter Applied to Beamforming
  61. Validation of a Dynamic Planning Navigation Strategy Applied to Mobile Terrestrial Robots
  62. Butterfly neural equalizer applied to optical communication systems with two-dimensional digital modulation
  63. Adaptive Beamforming Applied to OFDM Systems
  64. Comparison of binary and fuzzy logic in feedback control of dynamic systems
  65. Efficient 3D Objects Recognition Using Multifoveated Point Clouds
  66. Parallel Implementation of Reinforcement Learning Q-learning Technique for FPGA
  67. Project-based learning applied to an embedded systems course
  68. Fuzzy controller applied to electric vehicles with continuously variable transmission
  69. Problem-based learning applied to the artificial intelligence course
  70. Beamforming and Power Control in Sensor Arrays Using Reinforcement Learning
  71. Adaptive Boolean Logic Using Ferroelectrics Capacitors as Basic Units of Artificial Neurons and Its Implementation in FPGA
  72. Linear programming applied to blind signal equalization
  73. Project-Based Learning Laboratory for Teaching Embedded Systems
  74. Collaborative reception technique in wireless sensor networks using adaptive antennas
  75. An adaptive equalizer for reliable transmissions in DVB-S2 satellite communications under ISI
  76. Proposal for parallel fixed point implementation of a radial basis function network in an FPGA
  77. Platform for Real-Time Simulation of Dynamic Systems and Hardware-in-the-Loop for Control Algorithms
  78. Dynamic Planning Navigation Technique Optimized with Genetic Algorithm
  79. Parallel Fixed Point Implementation of a Radial Basis Function Network in an FPGA
  80. Neural equalization applied to systems with bidimensional digital modulation
  81. Dynamic planning navigation strategy for mobile terrestrial robots
  82. Spatial and temporal adaptive receiver for DS-CDMA systems
  83. Adaptive Equalizers Applied to Faults Location in Power Transmission Lines
  84. Bi-dimensional Neural Equalizer Applied to Optical Receiver
  85. Multilayer perceptron equalizer for optical communication systems
  86. Chip-level adaptive equalization supervised by a time-multiplexed common pilot sequence in CDMA systems
  87. Design,Simulation and Hardware Implementation of a Digital Television System: Synchronization Techniques
  88. Design, Simulation and Hardware Implementation of a Digital Television System: Performance Evaluation
  89. Space-time processing for smart antennas in advanced receivers for the user terminal in 3G WCDMA systems
  90. 8-VSB channel coding analysis for DTV broadcast
  91. A neural network model applied to the detection of digital signals