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Bayesian optimization is a widely used method for optimizing expensive black-box functions, with Expected Improvement being one of the most commonly used acquisition functions. In contrast, information-theoretic acquisition functions aim to reduce uncertainty about the function’s optimum and are often considered fundamentally distinct from EI. In this work, we challenge this prevailing perspective
Implementing the Internet of Things (IoT) into business models has become an influential catalyst, supporting novel revenue generation, improved operational efficiencies, and competitive dominance. Still, its implementation has been challenged by barriers to technological, organizational, and societal dimensions. The current study utilizes the Fuzzy Decision-Making Trial and Evaluation Laboratory
BACKGROUND: Dementia with Lewy Bodies (DLB) is often misdiagnosed or conflated with Alzheimer's Disease (AD) due to overlapping clinical presentations and neuropathological features. The presence of AD-like features correlates with accelerated cognitive decline and a worse overall prognosis. Compared to AD, studies suggest that amyloid uptake in DLB may spare the occipital lobe. This project aims
Cells grow by acquiring external resources and transforming them internally, forming new cells as they divide. Metabolic networks focus on the flow of such resources within the cell as they undergo series of biochemical reactions. How population growth emerges from these complex dynamical networks remains unclear. Modeling the emergence of population growth, a central ecological concept, is thus e
Recursive state estimation is considered for discrete time linear systems with mixed process and measurement disturbances that have stochastic and (convex) set-bounded terms. The state estimate is formed as a linear combination of initial guess and measurements, giving an estimation error of the same mixed type (and causing minimal interference between the two kinds of error). An ellipsoidal over-
In the RUNES project a disaster relief tunnel scenario is being developed in which mobile robots are used to restore the radio network connectivity in a stationary sensor network. A component-based software development approach has been adopted. Two components are described in this paper. A localization component that uses ultrasound and dead reckoning to decide the robot positions and a collision
Fluorescence spectroscopy in two different biomedical applications have been studied. One field has been to explore whether fluorescence spectroscopy can be used to determine the depth of a fluorescent object inside a tissue-like medium. Recorded fluorescence spectra depend on the localisation of the fluorescent inclusion and may provide additional information for optical tomography. The second ma
Coordination is an important success factor for a development project. Communication gaps, e.g. between product owners shaping the requirements and testers verifying the developed software can result in wasted effort and unsuccessful products. We propose improving the communication between project members with recommendations of whom to interact with and what to discuss based on link prediction in
