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Predicting pharmaceutical inkjet printing outcomes using machine learning
(Elsevier B.V., 2023)
[Abstract]: Inkjet printing has been extensively explored in recent years to produce personalised medicines due to its low cost and versatility. Pharmaceutical applications have ranged from orodispersible films to complex ...
Revisiting Explicit Negation in Answer Set Programming
(Cambridge University Press, 2019-09)
[Abstract] A common feature in Answer Set Programming is the use of a second negation, stronger than default negation and sometimes called explicit, strong or classical negation. This explicit negation is normally used in ...
On the semantics of hybrid ASP systems based on Clingo
(MDPI, 2023-03)
[Abstract]: Over the last decades, the development of Answer Set Programming (ASP) has brought about an expressive modeling language powered by highly performant systems. At the same time, it gets more and more difficult ...
A Polynomial Reduction of Forks Into Logic Programs
(Elsevier, 2022)
[Abstract] In this research note we present additional results for an earlier published paper [1]. There, we studied the problem of projective strong equivalence (PSE) of logic programs, that is, checking whether two logic ...
Accelerating 3D printing of pharmaceutical products using machine learning
(Elsevier, 2022)
[Abstract] Three-dimensional printing (3DP) has seen growing interest within the healthcare industry for its ability to fabricate personalized medicines and medical devices. However, it may be burdened by the lengthy ...
Linear-Time Temporal Answer Set Programming
(Cambridge University Press, 2023)
[Abstract]: In this survey, we present an overview on (Modal) Temporal Logic Programming in view of its application to Knowledge Representation and Declarative Problem Solving. The syntax of this extension of logic programs ...
Machine learning predicts 3D printing performance of over 900 drug delivery systems
(Elsevier B.V., 2021-09)
[Abstract]: Three-dimensional printing (3DP) is a transformative technology that is advancing pharmaceutical research by producing personalized drug products. However, advances made via 3DP have been slow due to the lengthy ...
M3DISEEN: A novel machine learning approach for predicting the 3D printability of medicines
(Elsevier B.V., 2020-11)
[Abstract]: Artificial intelligence (AI) has the potential to reshape pharmaceutical formulation development through its ability to analyze and continuously monitor large datasets. Fused deposition modeling (FDM) ...
Equilibrium graphs
(Springer, 2019)
[Abstract]: In this paper we present an extension of Peirce’s existential graphs to provide a diagrammatic representation of expressions in Quantified Equilibrium Logic (QEL). Using this formalisation, logical connectives ...
Forgetting Auxiliary Atoms in Forks
(Elsevier Ltd, 2019)
[Abstract]: In this work we tackle the problem of checking strong equivalence of logic programs that may contain local auxiliary atoms, to be removed from their stable models and to be forbidden in any external context. ...