Drug-target affinity predictions improve with increasing drug similarity score compared to the training drugs. by Alexander Kroll (9304225)

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Performance metrics of ProSmith and previously published methods for the prediction of Michaelis constants <i>K</i>_M. by Alexander Kroll (9304225)

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Hyperparameters of the ProSmith Transformer Network. by Alexander Kroll (9304225)

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Enzyme-substrate pair predictions improve with increasing substrate similarity compared to training substrates. by Alexander Kroll (9304225)

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Utilizing variable background weight maps for training the model on debris. by Owen M. O’Connor (11965460)

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Loss history of segmentation model trained over 600 epochs. by Owen M. O’Connor (11965460)

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Diagram of data analysis and implementation of the package BOOME. by Li-Pang Chen (9747423)

Schematic showing how the tracking model uses the inputs to make predictions. by Owen M. O’Connor (11965460)

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Left schematic of the XOR gate implementation [11]. by Fabricio Cravo (21387854)

Schematic of the pixelwise binary cross-entropy loss function used to train the segmentation and tracking models. by Owen M. O’Connor (11965460)

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DataSheet1_Optimisation of Water-Energy Networks in Process Industry: Implementation of Non-Linear and Multi-Objective Models.PDF by Miguel Castro Oliveira (11975819)

“…In this work, two approaches for the solving of an optimisation problem related to the improvement of water and energy use in a process industry plant (three water-using processes) are implemented. These approaches consist on the development of a mixed-integer non-linear programming (MINLP) model and a multi-objective programming (MOP) model using the Python language. …”

Parallel scalable simulations of biological neural networks using TensorFlow: A beginner's guide by Rishika Mohanta (7327013)

“…<p>Biological neural networks are often modeled as systems of coupled, nonlinear, ordinary or partial differential equations. …”

Implementations benchmark. by Serena Aneli (17002149)

Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" by Yifei Gu (9507104)

“…The detailed implementation, source code and demo dataset are included in dedicated folders for each chapter.…”

Relationship of independent and dependent variable. by Laura Marie Helleckes (12206910)

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Uncertainty about the independent variable. by Laura Marie Helleckes (12206910)

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Tabular representation of a parameter mapping. by Laura Marie Helleckes (12206910)

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Independent variable PDFs in various observation scenarios. by Laura Marie Helleckes (12206910)

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Comparison with related software packages. by Laura Marie Helleckes (12206910)

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Posterior group mean and well-specific initial biomass concentrations <i>X</i>₀. by Laura Marie Helleckes (12206910)

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