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From ISLAB/CAISR
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- CAISR Annual Report 2018 (18:09, 31 March 2019)
- CAISR team wins Volvo hackathon (18:11, 31 March 2019)
- EVE: Extending life of Vehicles within Electromobility era (18:15, 31 March 2019)
- FMC (13:47, 1 April 2019)
- New PhD Hassan Nemati (15:39, 25 April 2019)
- SBF (08:58, 14 May 2019)
- EVE (16:43, 21 May 2019)
- IMedA (20:26, 21 May 2019)
- Reza Khoshkangini (14:02, 27 August 2019)
- Detecting changes in causal relations (21:16, 9 September 2019)
- Detecting different types of machines based on usage (21:16, 9 September 2019)
- Estimating Architectural Properties of Buildings Based on Heating Data (21:18, 9 September 2019)
- Representation Learning for Deviation Detection (21:20, 9 September 2019)
- Object Detection for Autonomous Vehicles (14:02, 10 September 2019)
- BIDAF (21:20, 24 September 2019)
- Digit recognition by lip-movements and time recursive Neural Networks (14:15, 27 September 2019)
- Protecting bikers in traffic by computer vision (14:21, 27 September 2019)
- Segmentation and object identification in warehouse environments using machine learning (12:45, 30 September 2019)
- Modelling behavior and interaction of road users in transportation systems (14:04, 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 (08:41, 1 October 2019)
- Embedding DNN models on mobile robots for object detection (16:23, 1 October 2019)
- Embeded wearable sensors application at the HINT (08:49, 2 October 2019)
- Object Movement Prediction for Autonomous Cars (15:59, 3 October 2019)
- Two assistant professor positions (13:28, 7 October 2019)
- Positioning of the user at the HINT (08:36, 8 October 2019)
- Electrical stimulator design and development (12:13, 8 October 2019)
- AI Enabled Service Market Logistics (08:46, 10 October 2019)
- Iulian Carpatorea (08:53, 10 October 2019)
- Transfer Learning for Machine Diagnostics and Prognostics (10:39, 14 October 2019)
- Deep feature analysis and extraction on Logged Vehicle data for the task of predictive maintenance (16:06, 14 October 2019)
- Personnel (20:48, 19 October 2019)
- Detection of smart cars cyber attacks (21:10, 19 October 2019)
- Eric Järpe (00:50, 20 October 2019)
- Modelling vehicles'/drivers' behaviour using LVD (08:40, 21 October 2019)
- Prediction of neurodegenerative disorders based on brain images (13:56, 23 October 2019)
- AI R&D at King (06:10, 25 October 2019)
- Self-adaptive Recommender System In Conditional Context (16:44, 25 October 2019)
- Value of BIG DATA for Large Building Owners (20:12, 27 October 2019)
- Anomaly detection based on seasonal daily pattern power consumption of buildings in district heating domain (20:57, 27 October 2019)
- Predictive Maintenance Workshop at ECML 2019 (12:05, 8 November 2019)
- Ethical hacking of car-cloud communication (14:08, 22 November 2019)
- Improved networks for cloud-car communication (14:43, 27 November 2019)
- Mohammed Ghaith Altarabichi (11:04, 7 January 2020)
- Martin Cooney (16:42, 10 January 2020)
- Awais Ashfaq (15:51, 9 February 2020)
- Publications (22:20, 10 February 2020)
- Automatic Generation of Descriptive Features for Predicting Vehicle Faults (13:23, 2 March 2020)
- Fernando/SignalAnalysisPhDCourse (21:20, 24 March 2020)
- Two open positions (14:08, 26 March 2020)
- Social touch for robots (10:47, 10 June 2020)
