37 results on '"Antoniuk, Izabella"'
Search Results
2. Deep learning methods for drill wear classification based on images of holes drilled in melamine faced chipboard
3. Enhancements in Radiological Detection of Metastatic Lymph Nodes Utilizing AI-Assisted Ultrasound Imaging Data and the Lymph Node Reporting and Data System Scale.
4. Procedural Generation of Multilevel Dungeons for Application in Computer Games using Schematic Maps and L-system
5. L-system Application to Procedural Generation of Room Shapes for 3D Dungeon Creation in Computer Games
6. Algorithm for Optimization of Multi-spindle Drilling Machine Based on Evolution Method
7. Prediction of Potato (Solanum tuberosum L.) Yield Based on Machine Learning Methods
8. Generating layout for complex cave-like levels with schematic maps and Cellular Automata
9. Procedural Generation of Virtual Cities
10. Application of Machine Learning Algorithms for Tool Condition Monitoring in Milling Chipboard Process
11. Tool State Recognition During Milling Process using Time Series Signals and Multiple Input CNN Architecture.
12. Generation of Complex Underground Systems for Application in Computer Games with Schematic Maps and L-Systems
13. Improved efficient capsule network for Kuzushiji-MNIST benchmark dataset classification.
14. L-system Application to Procedural Generation of Room Shapes for 3D Dungeon Creation in Computer Games
15. Algorithm for Optimization of Multi-spindle Drilling Machine Based on Evolution Method
16. Procedural Generation of Adjustable Terrain for Application in Computer Games Using 2D Maps
17. Automatic Estimation of Drill Wear Based on Images of Holes Drilled in Melamine Faced Chipboard with Machine Learning Algorithms
18. Advanced Feature Extraction Methods from Images of Drillings in Melamine Faced Chipboard for Automatic Diagnosis of Drill Wear
19. Improved Drill State Recognition during Milling Process Using Artificial Intelligence
20. Procedural Generation of Multilevel Dungeons for Application in Computer Games using Schematic Maps and L-system
21. Prediction of Blueberry (Vaccinium corymbosum L.) Yield Based on Artificial Intelligence Methods
22. Tool condition monitoring for the chipboard drilling process using automatic, signal-based tool state evaluation
23. Generation of Complex Underground Systems for Application in Computer Games with Schematic Maps and L-Systems
24. Decision Confidence Assessment in Multi-Class Classification
25. Deep learning methods for drill wear classification based on images of holes drilled in melamine faced chipboard
26. Application of Siamese Networks to the Recognition of the Drill Wear State Based on Images of Drilled Holes
27. Normal Patch Retinex robust algorithm for white balancing in digital microscopy
28. Time-efficient approach to drill condition monitoring based on images of holes drilled in melamine faced chipboard
29. Data augmentation techniques for transfer learning improvement in drill wear classification using convolutional neural network
30. BCT Boost Segmentation with U-net in TensorFlow
31. Context-based segmentation of the longissimus muscle in beef with a deep neural network
32. Textural features based on run length encoding in the classification of furniture surfaces with the orange skin defect
33. Classifiers ensemble of transfer learning for improved drill wear classification using convolutional neural network
34. Procedural Generation of Editable Three-dimensional Terrain Model Based on Selected Features and Two-dimensional Schematic Maps (PL: Proceduralna generacja edytowalnego trójwymiarowego modelu terenu na podstawie wybranych cech oraz schematycznych map dwuwymiarowych.)
35. NORMAL PATCH RETINEX ROBUST ALGHORITM FOR WHITE BALANCING IN DIGITAL MICROSCOPY.
36. TEXT AREA DETECTION IN HANDWRITTEN DOCUMENTS SCANNED FOR FURTHER PROCESSING.
37. Procedural Generation of Underground Systems with Terrain Features using Schematic Maps and L-systems
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.