24 papers · ranked by Valyu relevance
Paul Kroll, Alexandra Hofer, Sophia Ulonska, Julian Kager + 1 more
'Christoph Herwig'] Model-based methods are increasingly used in all areas of biopharmaceutical process technology. They can be applied in the field of experimental design, process characterization, process design, monitoring and control. Benefits of these methods are lower experimental effort, process transparency…
Sabah Al‐Fedaghi
—Process modeling (PM) in software engineering involves a specific way of understanding the world. In this context, philosophical work is not merely intrinsically important; it can also stand up to some of the more established software engineering research metrics. The object-oriented methodology takes an object as the…
Sabah Al‐Fedaghi
—This paper presents a flow-based methodology for capturing processes specified in business process modeling. The proposed methodology is demonstrated through re-modeling of an IBM Blueworks case study. While the Blueworks approach offers a well-proven tool in the field, this should not discourage workers from…
Sabah Al‐Fedaghi
The software development life cycle (SDLC) is a procedure used to develop a software system that meets both the customer's needs and real-world requirements. The first phase of the SDLC involves creating a conceptual model that represents the involved domain in reality. In requirements engineering, building such a…
Ioana Rus, Holger Neu, Jürgen Münch
— So far there have been several efforts for developing software process simulators. However, the approaches for developing the simulators seem to have been adhoc and no systematic methodology exists. Since modeling and simulation in support of software development should become more popular (and there are signs that…
Markus Martini, Jakob Pinggera, Manuel Neurauter, Pierre Sachse + 2 more
'Marco R. Furtner' 'Barbara Weber'] A process model (PM) represents the graphical depiction of a business process, for instance, the entire process from online ordering a book until the parcel is delivered to the customer. Knowledge about relevant factors for creating PMs of high quality is lacking. The present study…
Ahmed BaniMustafa, Nigel Hardy
This work demonstrates the execution of a novel process model for knowledge discovery and data mining for metabolomics (MeKDDaM). It aims to illustrate MeKDDaM process model applicability using four different real-world applications and to highlight its strengths and unique features. The demonstrated applications…
Jovan Tanevski, Ljupčo Todorovski, Sašo Džeroski
Background Identifying a proper model structure, using methods that address both structural and parameter uncertainty, is a crucial problem within the systems approach to biology. And yet, it has a marginal presence in the recent literature. While many existing approaches integrate methods for simulation and parameter…
Reema Choudhary, Nauman Riaz, Jacopo Soldani
Software reverse engineering and reengineering are becoming common in the field of games and website development. Simulation and modeling play an important role in understanding the flow of the overall system. Business process modeling notation (BPMN) is used to show the overall architecture of the business process.…
Authors not listed
Rapid and robust simulation of chemical processes is critical to conduct process design, optimization, techno-economic analysis, and sustainability analysis. Yet, efficiently solving simulation models remains a challenge due to the highly coupled and nonlinear nature of the underlying algebraic equations that capture…
Jakob Pinggera, Pnina Soffer, Stefan Zugal, Barbara Weber + 4 more
'Matthias Weidlich' 'Dirk Fahland' 'Hajo A. Reijers' 'Jan Mendling'] Abstract. Research on quality issues of business process models has recently begun to explore the process of creating process models. As a consequence, the question arises whether different ways of creating process models exist. In this vein, we…
Julia Baß, Michael Winter, Rüdiger Pryss, Manfred Reichert + 1 more
'Daniele Corbo'] The study of complex process models often encounters challenges in terms of comprehensibility. This paper explores using modularization as a strategy to mitigate such challenges, notably the reduction in complexity. Previous research has delved into the comprehensibility of modularized process models…
Otilia Carvalho, Maria N. Charalambides, Ilija Djekić, Christos Athanassiou + 16 more
'Christos Athanassiou' 'Serafim Bakalis' 'Jose Benedito' 'Aurelien Briffaz' 'Cristina Castañé' 'Guy Della Valle' 'Isabel Maria Nunes de Sousa' 'Ferruh Erdogdu' 'Aberham Hailu Feyissa' 'Nickolas G. Kavallieratos' 'Alexandros Koulouris' 'Milica Pojić' 'Anabela Raymundo' 'Jordi Riudavets' 'Fabrizio Sarghini' 'Pasquale…
Johannes Hemmerich, Niklas Tenhaef, Wolfgang Wiechert, Stephan Noack
Quantitative characterization of biotechnological production processes requires the determination of different key performance indicators (KPIs) such as titer, rate and yield. Classically, these KPIs can be derived by combining black-box bioprocess modelling with non-linear regression for model parameter estimation.…
Authors not listed
Deriving versatile and robust mechanistic models from experimental data is a key challenge in engineering and natural sciences. This is especially true in chemical reaction engineering, where reactor manufacturers and operators increasingly pursue the development and maintenance of digital twins that rely on frequent…
Philippe De Meyer, Jan Claes
Purpose - The rising interest in the construction and the quality of (business) process models resulted in an abundancy of emerged research studies and different findings about process model quality. The lack of overview and the lack of consensus hinder the development of the research field. The research objective is…
Alessandra Livigni, Laura O’Hara, Marta E. Polak, Tim Angus + 2 more
In silico modelling of biological pathways is a major endeavour of systems biology. Here we present a methodology for construction of pathway models from the literature and other sources using a biologist-friendly graphical modelling system. The pathway notation scheme, called mEPN, is based on the principles of the…
Peter Sagmeister, Lukas Melnizky, Jason Williams, C. Oliver Kappe
In modern pharmaceutical research, the demand for expeditious development of synthetic routes to active pharmaceutical ingredients (APIs) has led to a paradigm shift towards data-rich process development. Conventional methodologies en-compass prolonged timelines for reaction and analytical model developments. Both…
Aaron Liu, Myeongyeon Lee, Rahul Venkatesh, Jessica Bonsu + 4 more
Polymer-based semiconductors and organic electronics encapsulate a significant research thrust for informatics-driven materials development. However, device measurements are described by a complex array of design and parameter choices, many of which are sparsely reported. For example, the mobility of a polymer-based…
Aleksandr Fedorov, Anna Perechodjuk, David Linke
Artificial neural networks (ANNs) are powerful tools for solving a wide range of tasks in fundamental and applied science. However, training and building reliable ANN models requires a lot of data which so far hinders their wider application in kinetic modelling where typically only small (experimental) datasets are…
Marvin van Aalst, Oliver Ebenhöh, Anna Matuszyńska
Computational mathematical models of biological and biomedical systems have been successfully applied to advance our understanding of various regulatory processes, metabolic fluxes, effects of drug therapies and disease evolution or transmission. Unfortunately, despite community efforts leading to the development of…
Linda Kölbel, Markus Hornsteiner, Stefan Schönig
In industry, the networking and automation of machines through the Internet of Things (IoT) continues to increase, leading to greater digitalization of production processes. Traditionally, business and production processes are controlled, optimized and monitored using business process management methods that require…
Authors not listed
Photoredox catalysis plays an important role in the synthesis of pharmaceutically relevant compounds, such as C(sp3)-rich tertiary amines. The difficulty of identifying underlying mechanistic models for such novel transformations, coupled with the large reaction space of this reaction class, mean that developing a…
Ron Henkel, Robert Hoehndorf, Tim Kacprowski, Christian Knüpfer + 2 more
Computational models used in biology are rapidly increasing in complexity, size, and numbers. To build such large models, researchers need to rely on software tools for model retrieval, model combination, and version control. These tools need to be able to quantify the differences and similarities between computational…