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08/17/2022
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes
Modern industrial facilities generate large volumes of raw sensor data d...
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08/11/2022
New drugs and stock market: how to predict pharma market reaction to clinical trial announcements
Pharmaceutical companies operate in a strictly regulated and highly risk...
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08/11/2022
Anomaly segmentation model for defects detection in electroluminescence images of heterojunction solar cells
Efficient defect detection in solar cell manufacturing is crucial for st...
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07/31/2022
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI
The size and complexity of deep neural networks continue to grow exponen...
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05/07/2022
Towards Computationally Feasible Deep Active Learning
Active learning (AL) is a prominent technique for reducing the annotatio...
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01/31/2022
Advanced service data provisioning in ROF-based mobile backhauls/fronthauls
A new cost-efficient concept to realize a real-time monitoring of qualit...
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07/12/2021
Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough
The COVID-19 pandemic created a significant interest and demand for infe...
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11/27/2016
