Planning the trajectories of multiple mobile sinks in large-scale, time-sensitive WSNs. - Wint Yi Poe; Michael A. Beck; Jens B. Schmitt (DCOSS, 2011)

Achieving High Lifetime and Low Delay in Very Large Sensors Networks Using Mobile Sinks. - Wint Yi Poe; Michael A. Beck; Jens B. Schmitt (DCOSS, 2012)

On the calculation of sample-path backlog bounds in queueing systems over finite time horizons. - Michael A. Beck; Jens B. Schmitt (VALUETOOLS, 2012)

The DISCO stochastic network calculator version 1.0: when waiting comes to an end. - Michael A. Beck; Jens B. Schmitt (VALUETOOLS, 2013)

Towards a statistical network calculus - Dealing with uncertainty in arrivals. - Michael A. Beck; Sebastian A. Henningsen; Simon B. Birnbach; Jens B. Schmitt (INFOCOM, 2014)

Stochastic worst case analysis of window flow controlled systems. - Michael Alexander Beck (CDC, 2016)

Window Flow Control in Stochastic Network Calculus - The General Service Case. - Michael A. Beck; Jens B. Schmitt (EAI Endorsed Trans. Ubiquitous Environ., 2016)

Advances in Theory and Applicability of Stochastic Network Calculus - Michael A. Beck (2016)

Demo abstract: An integrated tool of applying stochastic network calculus for network performance analysis. - Michael A. Beck; Sebastian A. Henningsen; Qian Xu 010; Jianping Wang 001; Kui Wu 001; Xian Liu (INFOCOM Workshops, 2017)

Technical Report The Stochastic Network Calculator. - Michael A. Beck; Sebastian A. Henningsen (CoRR, 2017)

Generalizing window flow control in bivariate network calculus to enable leftover service in the loop. - Michael A. Beck; Jens B. Schmitt (Perform. Evaluation, 2017)

Integrating Fractional Brownian Motion Arrivals into the Statistical Network Calculus. - Paul Nikolaus; Sebastian A. Henningsen; Michael A. Beck; Jens B. Schmitt (ITC (2), 2018)

An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture. - Michael A. Beck; Chen-Yi Liu; Christopher P. Bidinosti; Christopher J. Henry; Cara M. Godee; Manisha Ajmani (CoRR, 2020)

Visualizing Feature Maps for Model Selection in Convolutional Neural Networks. - Sakib Mostafa; Debajyoti Mondal; Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry; Ian Stavness (ICCVW, 2021)

Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture. - Michael A. Beck; Chen-Yi Liu; Christopher P. Bidinosti; Christopher J. Henry; Cara M. Godee; Manisha Ajmani (CoRR, 2021)

The TerraByte Client: providing access to terabytes of plant data. - Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry; Manisha Ajmani (CoRR, 2022)

Investigating classification learning curves for automatically generated and labelled plant images. - Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry; Manisha Ajmani (CoRR, 2022)

Leveraging Guided Backpropagation to Select Convolutional Neural Networks for Plant Classification. - Sakib Mostafa; Debajyoti Mondal; Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry; Ian Stavness (Frontiers Artif. Intell., 2022)

A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images. - Nooshin Noshiri; Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry (CoRR, 2023)

Strategies and impact of learning curve estimation for CNN-based image classification. - Laura Didyk; Brayden Yarish; Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry (CoRR, 2023)

Inside out: transforming images of lab-grown plants for machine learning applications in agriculture. - Alexander E. Krosney; Parsa Sotoodeh; Christopher J. Henry; Michael A. Beck; Christopher P. Bidinosti (Frontiers Artif. Intell., 2023)

A Low-Cost Photogrammetry System for 3D Plant Modeling and Phenotyping. - Joe Hrzich; Michael A. Beck; Christopher P. Bidinosti; Christopher J. Henry; Kalhari Manawasinghe; Karen Tanino (CoRR, 2025)