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From ISLAB/CAISR
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- CAISR Annual Report 2018 (19:09, 31 March 2019)
- CAISR team wins Volvo hackathon (19:11, 31 March 2019)
- EVE: Extending life of Vehicles within Electromobility era (19:15, 31 March 2019)
- FMC (14:47, 1 April 2019)
- New PhD Hassan Nemati (16:39, 25 April 2019)
- SBF (09:58, 14 May 2019)
- EVE (17:43, 21 May 2019)
- IMedA (21:26, 21 May 2019)
- Reza Khoshkangini (15:02, 27 August 2019)
- Detecting changes in causal relations (22:16, 9 September 2019)
- Detecting different types of machines based on usage (22:16, 9 September 2019)
- Estimating Architectural Properties of Buildings Based on Heating Data (22:18, 9 September 2019)
- Representation Learning for Deviation Detection (22:20, 9 September 2019)
- Object Detection for Autonomous Vehicles (15:02, 10 September 2019)
- BIDAF (22:20, 24 September 2019)
- Digit recognition by lip-movements and time recursive Neural Networks (15:15, 27 September 2019)
- Protecting bikers in traffic by computer vision (15:21, 27 September 2019)
- Segmentation and object identification in warehouse environments using machine learning (13:45, 30 September 2019)
- Modelling behavior and interaction of road users in transportation systems (15:04, 30 September 2019)
- Name of the new projectEstimating agricultural development indicators over large areas from satellite images – an approach using convolutional neural networks and transfer learning (09:41, 1 October 2019)
- Embedding DNN models on mobile robots for object detection (17:23, 1 October 2019)
- Embeded wearable sensors application at the HINT (09:49, 2 October 2019)
- Object Movement Prediction for Autonomous Cars (16:59, 3 October 2019)
- Two assistant professor positions (14:28, 7 October 2019)
- Positioning of the user at the HINT (09:36, 8 October 2019)
- Electrical stimulator design and development (13:13, 8 October 2019)
- AI Enabled Service Market Logistics (09:46, 10 October 2019)
- Iulian Carpatorea (09:53, 10 October 2019)
- Transfer Learning for Machine Diagnostics and Prognostics (11:39, 14 October 2019)
- Deep feature analysis and extraction on Logged Vehicle data for the task of predictive maintenance (17:06, 14 October 2019)
- Personnel (21:48, 19 October 2019)
- Detection of smart cars cyber attacks (22:10, 19 October 2019)
- Eric Järpe (01:50, 20 October 2019)
- Modelling vehicles'/drivers' behaviour using LVD (09:40, 21 October 2019)
- Prediction of neurodegenerative disorders based on brain images (14:56, 23 October 2019)
- AI R&D at King (07:10, 25 October 2019)
- Self-adaptive Recommender System In Conditional Context (17:44, 25 October 2019)
- Value of BIG DATA for Large Building Owners (21:12, 27 October 2019)
- Anomaly detection based on seasonal daily pattern power consumption of buildings in district heating domain (21:57, 27 October 2019)
- Predictive Maintenance Workshop at ECML 2019 (13:05, 8 November 2019)
- Ethical hacking of car-cloud communication (15:08, 22 November 2019)
- Improved networks for cloud-car communication (15:43, 27 November 2019)
- Mohammed Ghaith Altarabichi (12:04, 7 January 2020)
- Martin Cooney (17:42, 10 January 2020)
- Awais Ashfaq (16:51, 9 February 2020)
- Publications (23:20, 10 February 2020)
- Automatic Generation of Descriptive Features for Predicting Vehicle Faults (14:23, 2 March 2020)
- Fernando/SignalAnalysisPhDCourse (22:20, 24 March 2020)
- Two open positions (15:08, 26 March 2020)
- Social touch for robots (11:47, 10 June 2020)
