1. Multi Agent Reinforcement Learning for Karma Economies 

   Vaishampayan, Saurabh (2024)

   Recently, new class of dynamic resource allocation mechanisms, called karma mechanisms, have shown great promise in acheiving fair and efficient outcomes. The analysis of karma mechanisms relies on the availability of versatile computational tools to predict the Nash equilibrium of a "karma game". Existing algorithms used to compute Nash equilibria of a karma game are centralized in nature, severely limiting the size and complexity of ...

   Master Thesis

2. DFT Wave Functions and Calculated Properties for the DASH Dataset 

   Riniker, Sereina; Lehner, Marc; Katzberger, Paul (2024)

   This data set contains the wave functions and calculated atomic/molecular properties of 341'811 molecules with elements from the organic set (H, C, N, O, S, F, Cl, Br, P, I, B) and a molecular weight of up to 500 g/mol with a large diversity in Morgan fingerprints with radius 2 (MF2). For each molecule, up to three conformations are available. The calculations were performed in Psi4 with a TPSSh functional and a def2-TZVP basis set in an ...

   Dataset

3. On Automatic Person-in-Water Detection for Marine Search and Rescue Operations 

   Taipalmaa, Jussi; Raitoharju, Jenni; Queralta, Jorge Pena; et al. (2024)

   IEEE Access

   In marine search and rescue missions, the objective is to find a missing person in the water. Time is a critical factor in the identification of the missing person, as any delay in locating them can have life-threatening consequences. Autonomous unmanned aerial vehicles (UAVs) possess the potential to help in the search task by providing a bird's-eye view helping to cover larger areas faster. Therefore, it is very important that UAVs can ...

   Journal Article

4. Design and Engineering of a Cable-driven Floating Robot with Actuator Coupling Method 

   Erol, Ecda (2021)

   This thesis deals with designing, engineering, and manufacturing a new cable-driven parallel robot, namely the cable-driven floating robot. The aim is to reduce the energy cost of transport in robotics by proposing a novel drive system. The new drive system is based on coupling the actuators to share torque load between each other in a feasible arrangement. Additionally, the cable-driven floating robot has all components inside the robot, ...

   Master Thesis

5. Navigating the Carbon Maze: A Roadmap to Effective Carbon Conductive Networks for Lithium-Ion Batteries 

   Baumgaertner, Julian F.; Kravchyk, Kostiantyn V.; Kovalenko, Maksym V. (2024)

   Advanced Energy Materials

   Conductive networks are integral components in Li-ion battery electrodes, serving the dual function of providing electrons to the active material while its porosity ensures Li-ion electrolyte accessibility to deliver and release Li-ions, thereby ultimately determining the electrochemical performance of the battery. In the realm of academic research, the task of fabricating an electrode endowed with an effective conductive network has ...

   Review Article

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