Month: December 2020

Application of Reinforcement Learning to a Mining System

Posted on By aline No Comments on Application of Reinforcement Learning to a Mining System
publication

Coming soon: SAMI 2021, January 21-23, 2021http://conf.uni-obuda.hu/sami2021/final.html Paper is out! https://ieeexplore.ieee.org/document/9378663 Abstract Automation techniques have been widely applied in different industry segments, among others, to increase both productivity and safety. In the mining industry, with the usage of such systems, the operator can be removed from hazardous environments without compromising task execution and it is … Read More “Application of Reinforcement Learning to a Mining System” »

Algorithms – Visualisation

Posted on By jannis No Comments on Algorithms – Visualisation
software released, teaching

Visualisation-animation of BSTs, B-Trees and Red-Black-Trees. A modified version of David Galles’ visualisation of BSTs, B-Trees and Red-Black-Trees tree-visualisation A modification of David Galles’ visualisation of BSTs, B-Trees and Red-Black-Trees. Manual Insert: Enter one or more numbers between 0 and 999. Separate them with your favorite non-digit character sequence. Press Insert. Delete: Enter a number. … Read More “Algorithms – Visualisation” »

Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation

Posted on By Muhammad Saif-Ur-Rehman No Comments on Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation
publication, scientific publication

Preprint https://arxiv.org/abs/2011.14694 AbstractObjective. Brain-computer interfaces (BCIs) enable direct communication between humans and machines by translating brain activity into control commands. Electroencephalography (EEG) is one of the most common sources of neural signals because of its inexpensive and non-invasivenature. However, interpretation of EEG signals is non-trivial because EEG signals have a low spatial resolution and are … Read More “Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation” »