Publikationen
- Measuring and Comparison of the Energy Consumption of Different Machine Learning Methods (2025).
Christoph Tholen,
Carolin Leluschko,
Lars Nolle,
Frederic Stahl.
- On the location-independent reconstruction of photosynthetically active radiation in the water column using neural networks (2025).
Martin M. Kumm,
Christoph Tholen,
Lars Nolle,
Frederic Stahl.
- On the optimisation of machine learning models for predicting the photosynthetically available radiation in the water column (2025).
Frederic Stahl,
Lars Nolle,
Martin M. Kumm,
Christoph Tholen.
- Towards a Technical Definition of Artificial Intelligence and Machine Learning Software Systems (2025).
Lars Nolle.
- Bi-directional LSTM Applied to the Maritime Target Motion Analysis Problem (2024).
Lars Nolle,
Nils Meinardus,
Martin Kumm,
Christoph Tholen.
- Interactive Simulator Framework for XAI Applications in Aquatic Environments (2024).
Ahmed H. Elsayed,
Tarek A. El-Mihoub,
Christoph Manss,
Andre Miedtank,
Lars Nolle,
Frederic Stahl.
- Model Generalisation for Predicting the Amount of Photosynthetically Available Radiation in the Water Column from Freefall Profiler Observations (2024).
Christoph Tholen,
Lars Nolle,
Jochen Wollschläger,
Frederic Stahl.
- On Object Detection and Explainability with Sonar Imagery (2024).
Tarek A. El-Mihoub,
Abdulhakim El Gadi,
Lars Nolle,
Frederic Stahl.
- On the Development of a Pixel-Wise Plastic Waste Identification System for Multispectral Remote Sensing Applications (2024).
Christoph Tholen,
Eike Rodenbäck,
Lars Nolle,
Robert Rettig,
Frederic Stahl.
- On the Importance of Domain Knowledge for Real-Time Event Detection (2024).
Janina Schneider,
Daniel Lukats,
Elmar Berghöfer,
Iring Paulenz,
Lars Nolle,
Frederic Stahl.
- On the performance evaluation of synchronous and asynchronous parallel particle swarm optimisation (2024).
Christoph Tholen,
Lars Nolle.
- On Explanations for Hybrid Artificial Intelligence (2023).
Lars Nolle,
Frederic Stahl,
Tarek El-Mihoub.
- On the Application of Feed-Forward Artificial Neural Networks to the Maritime Target Motion Analysis Problem (2023).
Till Schlüsselburg,
Christoph Tholen,
Lars Nolle.
- A Model for Predicting the Amount of Photosynthetically Available Radiation from BGC-ARGO Float Observations in the Water Column (2022).
Frederic Stahl,
Lars Nolle,
Ahlem Jemai,
Oliver Zielinski.
- Anforderungsanalyse für ein System zur automatisierten Ereignisdetektion in marinen Umgebungen (2022).
Iring Paulenz,
Daniel Lukats,
Janina Schneider,
Elmar Berghöfer,
Frederic Theodor Stahl,
Lars Nolle,
Oliver Zielinski.
- Artificial intelligence search strategies for autonomous underwater vehicles applied for submarine groundwater discharge site investigation (2022).
Christoph Tholen,
Tarek A. El-Mihoub,
Lars Nolle,
Oliver Zielinski.
Erschienen in:
Journal of marine science and engineering
(S. Art.–Nr.: 7).
MDPI AG.
- Deep Learning for Detecting Tilt Angle and Orientation of Photovoltaic Panels on Satellite Imagery (2022).
Ammar Memari,
Dam Van Cuong,
Lars Nolle.
- Explainable Boosting Machines for Network Intrusion Detection with Features Reduction (2022).
Tarek A. El-Mihoub,
Lars Nolle,
Frederic Stahl.
- Multi-Start, Random Reselection of Algorithms or Both? (2022).
Tarek A. El-Mihoub,
Lars Nolle,
Christoph Tholen,
Ibrahim Aref,
Iring Paulenz.
- On an Artificial Neural Network Approach for Predicting Photosynthetically Active Radiation in the Water Column (2022).
Martin M. Kumm,
Lars Nolle,
Frederic Stahl,
Ahlem Jemai,
Oliver Zielinski.
- Optimised Bumblebee Paths as Search Strategy for
Autonomous Underwater Vehicles (2022).
Christoph Tholen,
Lars Nolle,
Tarek A. El-Mihoub,
Oliver Zielinski.
- A Sequential Population-Based Search for AUVs (2021).
Tarek El-Mihoub,
Lars Nolle,
Christoph Tholen.
- Investigation of the spatio-temporal behaviour of submarine groundwater discharge using a low-cost multi-sensor-platform (2021).
Christoph Tholen,
Iain Parnum,
Robin Rofallski,
Lars Nolle,
Oliver Zielinski.
Erschienen in:
Journal of marine science and engineering
(S. Art.–Nr. 802).
MDPI AG.
- On Localisation Errors and Cooperative Search for a Swarm of AUVs (2021).
Tarek El-Mihoub,
Lars Nolle,
Christoph Tholen.
- On the localization of artificial submarine groundwater discharge sites using a low-cost multi-sensor-platform (2021).
Christoph Tholen,
Robin Rofallski,
Lars Nolle,
Tarek A. El-Mihoub,
Iain Parnum,
Oliver Zielinski.
- On a Self-Adaptive Step-Down Converter Architecture for On-line EMI Reduction (2020).
Jens Werner,
Alexandra Burger,
Lars Nolle,
Karsten Schubert.
- Optimal Receiver Configuration Of Short-Baseline Localisation Systems Using Particle Swarm Optimisation (2020).
Christoph Tholen,
Tarek El-Mihoub,
Lars Nolle,
Oliver Ralle,
Robin Rofallski.
- Self-adaptive learning for hybrid genetic algorithms (2020).
Tarek A. El-Mihoub,
Adrian A. Hopgood,
Lars Nolle.
Erschienen in:
Evolutionary intelligence
Springer.
- Towards Reducing the Impact of Localisation Errors on the Behaviour of a Swarm of Autonomous Underwater Vehicles (2020).
Tarek El-Mihoub,
Christoph Tholen,
Lars Nolle.
Erschienen in:
Mendel
Brno University of Technology.
- Using The CMA Evolution Strategy For Locating Submarine Groundwater Discharge (2020).
Tarek El-Mihoub,
Christoph Tholen,
Lars Nolle.
- Automated Tuning Of A Cellular Automata Using Parallel Asynchronous Particle Swarm Optimisation (2019).
Christoph Tholen,
Tarek A. El-Mihoub,
Jan Dierks,
Lars Nolle,
Alexandra Burger,
Oliver Zielinski.
- Development of an intelligent and distributed lowcost platform for marine observations (2019).
Christoph Tholen,
Lars Nolle,
Tarek A. El-Mihoub,
Oliver Zielinski,
Jens Wellhausen.
- Informed Search Patterns For Alleviating The Impact Of The Localisation Problem (2019).
Christoph Tholen,
Lars Nolle.
- Investigation Into The Behaviour Of An Asynchronous Population Based Hill Climbing Algorithm (2019).
Lars Nolle,
Jens Werner.
- On the Influence of Localisation and Communication Error on the Behaviour of a Swarm of Autonomous Underwater Vehicles (2019).
Christoph Tholen,
Lars Nolle,
Jens Werner.
- SPICE Model Tuning using a Parallel Computational Optimisation Strategy (2019).
Lars Nolle,
Jens Werner.
- Blind Search Patterns For Off-Line Path Planning (2018).
Tarek A. El-Mihoub,
Christoph Tholen,
Lars Nolle.
- On A Novel Search Strategy Based On A Combination Of Particle Swarm Optimisation And Levy-Flight (2018).
Christoph Tholen,
Tarek A. El-Mihoub,
Lars Nolle.
- On the robustness of self-adaptive levy-flight (2018).
Christoph Tholen,
Tarek A. El-Mihoub,
Lars Nolle,
Oliver Zielinski.
- Preface (2018).
Lars Nolle,
Alexandra Burger,
Cristoph Tholen,
Jens Wellhausen,
Jens Werner.
- Application of genetic optimization algorithms to lumped circuit modelling of coupled planar coils (2017).
Jens Werner,
Lars Nolle,
Jennifer Schütt.
- Asynchronous Population-Based Hill Climbing Applied to SPICE Model Generation from EM Simulation Data (2017).
Lars Nolle,
Jens Werner.
- On The Effect Of Neighborhood Schemes And Cell Shape On The Behaviour Of Cellular Automata Applied To The Simulation Of Submarine Groundwater Discharge (2017).
Christoph Tholen,
Lars Nolle,
Oliver Zielinski.
- Parameter Search for a Small Swarm of AUVs Using Particle Swarm Optimisation (2017).
Christoph Tholen,
Lars Nolle.
- Spice model generation from EM simulation data using integer coded genetic algorithms (2016).
Jens Werner,
Lars Nolle.
- A Hybrid Color Quantization Algorithm Incorporating a Human Visual Perception Model (2014).
G. Schaefer,
L. Nolle.
Erschienen in:
Computational intelligence
(S. 684–698).
Wiley-Blackwell.
- Characterisation of Large Changes in Wind Power for the Day-Ahead Market Using a Fuzzy Logic Approach (2014).
Giovana Martinez-Arellano,
Lars Nolle,
Richard Cant,
Ahmad Lotfi,
Christopher Windmill.
Erschienen in:
Künstliche Intelligenz
(S. 239–253).
Springer.
- Prediction of Jet Engine Parameters for Control Design Using Genetic Programming (2014).
Giovanni Martinez-Arellano,
Richard Cant,
Lars Nolle.
- Speaker verification using heterogeneous neural network architecture with linear correlation speech activity detection (2014).
T. Tashan,
T. Allen,
L. Nolle.
Erschienen in:
Expert systems : the international journal of knowledge engineering and neural networks
(S. 437–447).
Wiley-Blackwell.
- A Distributed Blackboard System for Soccer Playing Robots (2013).
Lars Nolle.
- A Framework for Proving the Correctness of Cryptographic Protocol Properties by Linear Temporal Logic (2013).
A. Alabdulatif,
X. Ma,
L. Nolle.
Erschienen in:
International journal for digital society
Infonomics Society.
- A Fuzzy Logic Approach for Pavement Section Classification (2013).
M. Mahmood,
L. Nolle.
Erschienen in:
International journal of pavement research & technology
Elsevier.
- A fuzzy logic approach for pavement section classification (2013).
M. Mahmood,
L. Nolle.
- Genetic Programming for Wind Power Forecasting and Ramp Detection (2013).
Giovanni Martinez-Arellano,
Lars Nolle.
- Short-term Wind Power Forecasting with WRF-ARW Model and Genetic Programming (2013).
G. Martinez-Arellano,
L. Nolle.
- Biologically inspired speaker verification using Spiking Self-Organising Map (2012).
T. Tashan,
T. Allen,
Lars Nolle.
- Genetic programming and mesoscale model (2012).
G. Martinez-Arellano,
Lars Nolle,
J. Bland.
- Self-adaptive stepsize search for automatic optimal design (2012).
J. A. Bland,
L. Nolle.
Erschienen in:
Knowledge-based systems
Elsevier Science.
- A Framework for Cryptographic Protocol Analysis Using Linear Temporal Logic (2011).
A. Alabdulatif,
X. Ma,
L. Nolle.
Preise
- Jade Lehrpreis (2018)
Lehrpreis
