Cluster-based parallel testing using semantic analysis C Landing, S Tahvili, H Haggren, M Langkvis, A Muhammad, A Loufi 2020 IEEE International Conference On Artificial Intelligence Testing …, 2020 | 16 | 2020 |
Time Series Anomaly Detection using Convolutional Neural Networks in the Manufacturing Process of RAN C Landin, J Liu, K Katsarou, S Tahvili 2023 IEEE International Conference On Artificial Intelligence Testing …, 2023 | 8 | 2023 |
A Dynamic Threshold Based Approach forDetecting the Test Limits C Landin, J Liu, S Tahvili The Sixteenth International Conference on Software Engineering Advances …, 2021 | 5 | 2021 |
Performance comparison of two deep learning algorithms in detecting similarities between manual integration test cases C Landin, L Hatvani, S Tahvili, H Haggren, M Längkvist, A Loutfi, ... The Fifteenth International Conference on Software Engineering Advances …, 2020 | 4 | 2020 |
An intelligent monitoring algorithm to detect dependencies between test cases in the manual integration process C Landin, X Zhao, M Längkvist, A Loutfi 2023 IEEE International Conference on Software Testing, Verification and …, 2023 | 3 | 2023 |
Antenna elements matching: time-domain analysis C Condori-Arapa | 3 | 2010 |
Test script generation from test specifications using natural language processing S Tahvili, A Salman, C Landin, V Huang US Patent App. 18/020,127, 2023 | 2 | 2023 |
AI-Based Methods For Improved Testing of Radio Base Stations: A Case Study Towards Intelligent Manufacturing C Landin Örebro University, 2023 | | 2023 |
An Ai-Driven Approach to Industrial Testing: From Time Series to Supervised Classification Through Dynamic Thresholds C Landin, J Liu, E Ramentol, S Tahvili Available at SSRN 5107860, 0 | | |
2023 IEEE International Conference On Artificial Intelligence Testing (AITest)| 979-8-3503-3629-0/23/$31.00© 2023 IEEE| DOI: 10.1109/AITest58265. 2023.00034 M Abdelkarim, M Ahmed, H Al-Qadasi, ED Angelis, GD Angelis, T Arslan, ... | | |