All Stories

  1. Poster Abstract: Improving Image Reconstruction Quality in Ultrasonic Tomography Using Deep Neural Networks
  2. Poster Abstract: The Concept of a Lightweight Ultrasound Tomograph for Brain Scanning Using a Heterogeneous Neural Model
  3. Brain Sensing with Ultrasound Tomography and Deep Learning Algorithms
  4. Using Machine Learning in Electrical Tomography for Building Energy Efficiency through Moisture Detection
  5. Machine Learning-Enhanced Radio Tomographic Device for Energy Optimization in Smart Buildings
  6. Intellectual Capital: A New Predictive Indicator for Project Management Improvement
  7. Use of the Two-Stage Neural System in Electrical Impedance Tomography for Imaging Moisture inside Walls
  8. Use of a Long Short-Term Memory Network in Radio Tomography to Track People Indoors
  9. The use of heterogeneous deep neural network system in radio tomography to detect people indoors
  10. Use of the two-stage neural system in industrial electrical tomography - hybrid approach
  11. Identification of moisture inside walls in buildings using machine learning and ensemble methods
  12. Ensemble learning for monitoring process in electrical impedance tomography
  13. Monitoring of flood embankments through EIT machine ensemble learning
  14. APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS IN WALL MOISTURE IDENTIFICATION BY EIT METHOD
  15. Cyber-Physical System for Collecting Data on Moisture Inside the Walls of Buildings
  16. Image Reconstruction and Compression in Ultrasound Tomography Using Discrete Cosine Transform
  17. The Concept of Using LSTM to Detect Moisture in Brick Walls by Means of Electrical Impedance Tomography
  18. Comparison of Machine Learning Methods for Image Reconstruction Using the LSTM Classifier in Industrial Electrical Tomography
  19. Comparison of Machine Learning Methods in Electrical Tomography for Detecting Moisture in Building Walls
  20. Historical Buildings Dampness Analysis Using Electrical Tomography and Machine Learning Algorithms
  21. Effect of features extraction on improving LSTM network quality in ECG signal classification
  22. Neural hybrid tomograph for monitoring industrial reactors
  23. Dedicated algorithm based on discrete cosine transform for the analysis of industrial processes using ultrasound tomography
  24. The Use of Time-Frequency Moments as Inputs of LSTM Network for ECG Signal Classification
  25. The Use of Neural Networks and Genetic Algorithms to Control Low Rigidity Shafts Machining
  26. The use of the autoencoder to improve images in ultrasound tomography
  27. Quality Assessment of the Neural Algorithms on the Example of EIT-UST Hybrid Tomography
  28. Tomographic Measuring Sensors System for Analysis and Visualization of Technological Processes
  29. Logistic regression in image reconstruction in electrical impedance tomography
  30. The use of LSTM networks in the detection of outliers in IoTbased air quality monitoring systems
  31. Application of multi-source data for process analysis in electrical tomography
  32. Logistic Regression for Machine Learning in Process Tomography
  33. Innovative Methods of Tomographic Image Reconstruction Based on Machine Learning to Improve Monitoring and optimization in Industrial Processes
  34. Electrical impedance tomography in 3D flood embankments testing – elastic net approach
  35. Application of a regressive neural network with autoencoder for monochromatic images in ultrasound tomography
  36. Logistic Regression Application to Image Reconstruction in UST
  37. Monitoring the natural environment with the use of IoT based system
  38. Process Analysis with Electrical Impedance and Capacitance Tomography Data
  39. EIT detection methods of damage in landfills and flood embankments
  40. Application of logistic regression to image reconstruction in EIT
  41. Comparison of Selected Machine Learning Algorithms for Industrial Electrical Tomography
  42. Innovative methods of neural reconstruction for tomographic images in maintenance of tank industrial reactors
  43. Industrial processes control with the use of a neural tomographic algorithm
  44. Area monitoring using the ERT method with multisensor electrodes
  45. Detection of seepages in flood embankments using the ElasticNET method
  46. Tomographic image correction with noise reduction algorithms
  47. Key role and potential of Industrial Internet of Things (IIoT) in modern production monitoring applications
  48. Development of computer-controlled material handling model by means of fuzzy logic and genetic algorithms
  49. The Use of Artificial Neural Networks in Tomographic Reconstruction of Soil Embankments
  50. Implementation of the LARS method to solve the inverse problem in electrical tomography
  51. Monitoring of flood embankments with the use of tomographic systems with distributed architecture
  52. The concept of the technological process control using a distributed industrial tomography system
  53. Analysis of Leaks in Flood Embankments Using Deterministic Methods and Computational Intelligence Algorithms
  54. Object Analysis Using Machine Learning to Solve Inverse Problem in Electrical Impedance Tomography
  55. DESIGN OF DATA ANALYSIS SYSTEMS FOR BUSINESS PROCESS AUTOMATION
  56. Elastic net method in the image reconstruction infiltration of water in the embankment
  57. Application of a distributed industrial tomography system for the analysis of technological processes
  58. Application of a neural EIT system to control the processes
  59. Distributed system architecture for the remote monitoring of a flood embankment
  60. Influence of the measurement method and reconstruction algorithm in the analysis of the airbrick moisture
  61. Increasing the Reliability of Flood Embankments with Neural Imaging Method
  62. Intelligent System for Analysis and Monitoring of Flood Embankments Based on Electrical Impedance Tomography, Machine Learning and Internet of Things
  63. A Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze the Moisture of Buildings
  64. Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze Moisture of Buildings
  65. Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze Moisture of Buildings
  66. Application of neural reconstruction of tomographic images in the problem of reliability of flood protection facilities
  67. Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze Moisture of Buildings
  68. The use of a neural controller in masonry tomography
  69. The use of a neural controller to disinfect water with ultraviolet light
  70. THE USE OF ARTIFICIAL INTELLIGENCE IN AUTOMATED IN-HOUSE LOGISTICS CENTRES
  71. USING MICROSERVICES ARCHITECTURE AS ANALYTICAL SYSTEM FOR ELECTRICAL IMPEDANCE TOMOGRAPHY IMAGING
  72. Applying Machine Learning Algorithms to Solve Inverse Problems in Electrical Tomography
  73. Computational Intelligence in Control of AGV Multimodal Systems
  74. Forecasting the bitcoin rate using an artificial neural network
  75. SUPPLY CHAIN RISK MANAGEMENT BY MONTE CARLO METHOD
  76. THE USE OF PETRI NETS IN DECISION SUPPORT SYSTEMS BASED ON INTELLIGENT MULTIPLY SOURCE DATA ANALYSIS
  77. OPTYMALIZACJA WIELOKRYTERIALNA W PROCESIE PRODUKCJI MEBLI
  78. USING NEURAL NETWORKS AND DEEP LEARNING ALGORITHMS IN ELECTRICAL IMPEDANCE TOMOGRAPHY
  79. Integer Linear Programming in Optimization of Waste After Cutting in the Furniture Manufacturing
  80. ZARZĄDZANIE AKTYWAMI NIEMATERIALNYMI W SYSTEMACH PRODUKCYJNYCH
  81. Application of Fuzzy Logic and Genetic Algorithms in Automated Works Transport Organization
  82. IDEA OF PARAMETRIC AND SEMANTIC OPEN PLATFORM SMART DEVICES SENSOR
  83. Risk-based estimation of manufacturing order costs with artificial intelligence
  84. Application of Fuzzy Logic in Assigning Workers to Production Tasks
  85. METODY IDENTYFIKACJI I OCENA WPŁYWU MEGATRENDÓW NA BIZNES LOKALNY I GLOBALNY
  86. Mathematical Models for Manufacturing Systems Capacity Planning and Expansion – An Overview
  87. Human Resource Selection for Manufacturing System Using Petri Nets
  88. Application of Fuzzy Logic Controller for Machine Load Balancing in Discrete Manufacturing System
  89. Cloud Manufacturing Concept as a Tool of Multimodal Manufacturing Systems Integration