Modeling and mitigating supply chain disruptions as a bilevel network flow problem

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Cardiocirculatory mathematical models are valuable tools for investigating both physiological and pathological conditions of the circulatory system. To assess an individual's clinical condition, these models must be tailored through parameter calibration. ...

We study the composite convex optimization problems with a quasi-self-concordant smooth component. This problem class naturally interpolates between classic self-concordant functions and functions with Lipschitz continuous Hessian. Previously, the best com ...

This study focuses on the optimization of green ammonia production systems through a mixed-integer linear programming (MILP) framework. The proposed model integrates both design decisions and detailed annual operational strategies, evaluated at an hourly r ...

We investigate reduced order models for acoustic and electromagnetic wave problems in parametrically defined domains. The parameter-to-solution maps are approximated following the so-called Galerkin POD-NN method, which combines the construction of a reduc ...

Generative language models (LMs) have become omnipresent across data science. For a wide variety of tasks, inputs can be phrased as natural language prompts for an LM, from whose output the solution can then be extracted. LM performance has consistently be ...

A techno-economic assessment and environmental and social sustainability assessments of novel Fischer-Tropsch (FT) biodiesel production from the wet and dry gasification of biomass-based residue streams (bark and black liquor from pulp production) for tran ...

The scale and pervasiveness of the Internet make it a pillar of planetary communication, industry and economy, as well as a fundamental medium for public discourse and democratic engagement. In stark contrast with the Internet's decentralized infrastructur ...

The thesis at hand is concerned with robots' navigation in human crowds. Specifically, methods are developed for planning a mobile robot's local motion between pedestrians, and they are evaluated in experiments where a robot interacts with real pedestrians ...

In this paper, we consider electric vehicle charging facilities that offer various levels of service, i.e., charging rates, for varying prices such that rational users choose a level of service that minimizes the total cost to themselves including an oppor ...

In this work we consider an online learning problem, called Online k-Clustering with Moving Costs, at which a learner maintains a set of k facilities over T rounds so as to minimize the connection cost of an adversarially selected sequence of clients. The ...

A strategic roadmap for noncarbonized fuels is a global priority, and the reduction of carbon dioxide emissions is a key focus of the Paris Agreement to mitigate the effects of rising temperatures. In this context, hydrogen is a promising noncarbonized fue ...

Benchmarking of scATAC-seq protocols demonstrates the effects of data quality on downstream analyses. ...

ML-based edge devices may face memory and computational errors that affect applications' reliability and performance. These errors can be the result of particular working conditions (e.g., radiation areas in physical experiments or avionics) or could be th ...

Lead halide perovskites are promising semiconducting materials for solar energy harvesting. However, the presence of heavy-metal lead ions is problematic when considering potential harmful leakage into the environment from broken cells and also from a publ ...

Vehicle sharing systems (VSSs) allow users to rent vehicles for a short period of time, in a more flexible and convenient manner compared to the traditional vehicle rental services. The long-term VSS subscription replaces the need for contract signing for ...

This work studies the power density (PD) optimization in wind farms, and its sensitivity to the available area size. A novel genetic algorithm (PDGA) is introduced, which optimizes PD and the turbine layout, by self-adapting to the PD and to the solutions ...

Time has always been a central factor in understanding the challenges of daily mobility. For a long time, and still today, methods of economic evaluation of transport projects have monetized time savings so that they can be included in the cost–benefit ana ...

The recent geopolitical conflicts in Europe highlighted the sensibility of the current energy system to the volatility of energy carrier prices. In the prospect of defining robust energy system configurations to ensure energy supply stability, it is necess ...

Coverage-guided greybox fuzzers rely on control-flow coverage feedback to explore a target program and uncover bugs. Compared to control-flow coverage, data-flow coverage offers a more fine-grained approximation of program behavior. Data-flow coverage capt ...

This paper examines the minimization of the cost for an expected random production output, given an assembly of finished goods from two random inputs, matched in two categories. We describe the optimal input portfolio, first using the standard normal appro ...

Modeling and mitigating supply chain disruptions as a bilevel network flow problem

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Two New Calibration Techniques of Lumped-Parameter Mathematical Models for the Cardiovascular System

Minimizing Quasi-self-concordant Functions by Gradient Regularization of Newton Method

Optimal design and operation of a green ammonia production system considering multi-electrolyzer operation

Galerkin neural network-POD for acoustic and electromagnetic wave propagation in parametric domains

Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

Biodiesel from Bark and Black Liquor-A Techno-Economic, Social, and Environmental Assessment

Planetary-Scale Byzantine Fault Tolerance

Geometric and Learning Methods for Robots to Navigate in Human Crowds with Application to Smart Mobility Devices

Sensitivity to user mischaracterizations in electric vehicle charging

Efficient Online Clustering with Moving Costs

Updates on Hydrogen Value Chain: A Strategic Roadmap

Systematic benchmarking of single-cell ATAC-sequencing protocols

Hardware-Software co-design Methodologies for Edge AI Optimization

Lead immobilization for environmentally sustainable perovskite solar cells

Demand-based operations of vehicle sharing systems

Wind farm power density optimization according to the area size using a novel self-adaptive genetic algorithm

Appropriations and Uses of Travel Time

Identification of typical district configurations: A two-step global sensitivity analysis framework

DatAFLow: Toward a Data-Flow-Guided Fuzzer

Optimal Matching of Random Parts