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Category: teaching

Gridworld RL

Posted on January 23, 2025January 23, 2025 By jannis
Gridworld RL
teaching

Value Iteration in Grid World Value Iteration in Grid World Grid Größe: Gamma: Theta: Initialisieren Positionen der Hindernisse (x,y Paare): Zielposition (x,y): Bellman-Gleichung für Value Iteration: V(s) = maxa Σs’ [P(s’|s,a) * (R(s,a,s’) + γ * V(s’))] Wo: V(s) der Wert des Zustands s ist P(s’|s,a) die Übergangswahrscheinlichkeit ist (hier angenommen als deterministisch, daher = … Read More “Gridworld RL” »

Algorithmus von Prim

Posted on January 9, 2025October 14, 2026 By jannis
Algorithmus von Prim
software released, teaching

Erklärung des Codes:

ODE: Euler vs RK4

Posted on January 9, 2025January 16, 2025 By jannis
ODE: Euler vs RK4
software released, teaching

Numerische Lösungsmethoden Numerische Lösungsmethoden für ODEs Vergleich von Euler- und Runge-Kutta-4-Methoden Startzeit (t_start): Endzeit (t_end): Anzahl Schritte (n_steps): Anfangswert (y0): Differentialgleichung (y\’ = f(t, y)): Berechnen und Zeichnen

Gradientenabstieg

Posted on January 9, 2025January 16, 2025 By jannis
Gradientenabstieg
software released, teaching

Gradient Descent Visualisierung Gradient Descent Visualisierung Interaktive Visualisierung des Gradientenabstiegsverfahrens Lernrate (learning_rate): Anzahl Iterationen (iterations): Startwert (initial_w): Kostenfunktion (f(w)): Berechnen und Zeichnen Beispiel:

BCCN23: The link between muscle activity and upper limb kinematics

Posted on September 26, 2023September 28, 2023 By jannis
BCCN23: The link between muscle activity and upper limb kinematics
teaching

The upper limbs are crucial in performing daily tasks that require strength, a wide range of motion, and precision. To achieve coordinated motion, planning and timing are critical. Sensory information about the target and the current body state is essential, as well as integrating past experiences, represented by pre-learned inverse dynamics that generate associated muscle … Read More “BCCN23: The link between muscle activity and upper limb kinematics” »

BCCN23: Variability study of human hand motion during 3D center-out tasks captured for the diagnosis of movement disorders

Posted on September 26, 2023September 28, 2023 By jannis
BCCN23: Variability study of human hand motion during 3D center-out tasks captured for the diagnosis of movement disorders
teaching

Variability analysis bears the potential to differentiate between healthy and pathological human movements [1]. Our study is conducted in the context of developing a portable glove for the diagnosis of movement disorders. This proposal has methodical as well as technical requirements. Generally, the identification of movement disorders via an analysis of motion data needs to … Read More “BCCN23: Variability study of human hand motion during 3D center-out tasks captured for the diagnosis of movement disorders” »

Game control using an EMG and EEG-based BCI

Posted on October 15, 2022June 20, 2023 By jannis
Game control using an EMG and EEG-based BCI
teaching

Student project within the module “Autonomous Systems” at Ruhr West University of Applied Sciences. Students Leon Heindl,Maik Jankowski Sebastian, Punsmann Leon Schierbach, Tom Robin Staab Supervision Aline Xavier Fidencio and M.Sc. Nique Schmidt Project site git@gitlab.hs-ruhrwest.de:autonomoussystems2021/errpotentail-bci-videogame.git

Bacherlorarbeit: Artificial Muscle Signal Generation using Generative Adversarial Networks

Posted on October 15, 2022June 20, 2023 By jannis
Bacherlorarbeit: Artificial Muscle Signal Generation using Generative Adversarial Networks
teaching

Angefertigt am 20. Dezember 2021 von Mahdi El Mesoudy

Master Project: Transfer Learning for Sentiment Analysis using CNN

Posted on May 12, 2022May 12, 2022 By jannis
Master Project: Transfer Learning for Sentiment Analysis using CNN
teaching

Master Student project at Ruhr West University of Applied Sciences. Students Ivan Cedric Mabou and Franck Wafo Supervision M. Sc. Stephan Lehmler Project site https://gitlab.hs-ruhrwest.de/ This study focused on the application of Transfer Learning (TL) to Sentiment Analysis (SA) using pre-trained word embeddings, as well as the transfer of different neural layers. We investigated and … Read More “Master Project: Transfer Learning for Sentiment Analysis using CNN” »

IEEE-Prime: Development of a Scalable Analog Front-End for Brain-Computer Interfaces

Posted on February 26, 2022September 29, 2022 By jannis
IEEE-Prime: Development of a Scalable Analog Front-End for Brain-Computer Interfaces
scientific publication, teaching

Sebastian Doliwa∗, Andreas Erbsl ̈oh†, Karsten Seidl†‡ and Ioannis Iossifidis∗∗University of Applied Science Ruhr-West, Institute for Computer Science, Mülheim an der Ruhr, Germany†University of Duisburg-Essen, Electronic Components and Circuits, Duisburg, Germany‡Fraunhofer Institute for Microelectronic Circuits and Systems, Duisburg, Germany In the context of the development of an implantable embedded system interfacing brain activity and enabling … Read More “IEEE-Prime: Development of a Scalable Analog Front-End for Brain-Computer Interfaces” »

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Recent Posts

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  • Iossifidis Lab auf der Bernstein Konferenz vertreten October 14, 2026
  • Erfolgreiche Teilnahme von Tim Sziburis an der ICNR2026 in Seoul October 14, 2026

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