All Stories

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