Methods for Developing a Process Design Space Using Retrospective Data [PDF]
Pharmaceutics, 2023 Prospectively planned designs of experiments (DoEs) offer a valuable approach to preventing collinearity issues that can result in statistical confusion, leading to misinterpretation and reducing the predictability of statistical models.
Miquel Romero-Obon +6 more
doaj +2 more sources
A design space for automated material handling vehicles [PDF]
Frontiers in Robotics and AI, 2023 Material Handling Vehicles (loaders, excavators, forklifts, harvesters, etc.) have seen a strong increase in automation efforts in recent years. The contexts such vehicles operate in are frequently complex and due to the often very specific nature of ...
Alexander G. Mirnig +7 more
doaj +2 more sources
Filtering and Informing the Design Space [PDF]
ACM Transactions on Computer-Human Interaction, 2021 Building on the concept “prototypes that filter the design space,” we establish how other kinds of design artifacts and activities (e.g., sketching, tests, concept posters, metaphors, design tools) are equally critical in filtering the design space.
Kim Halskov
exaly +3 more sources
Control Strategy for Excipient Variability in the Quality by Design Approach Using Statistical Analysis and Predictive Model: Effect of Microcrystalline Cellulose Variability on Design Space [PDF]
Pharmaceutics, 2022 Although various quality by design (QbD) approaches have been used to establish a design space to obtain robust drug formulation and process parameters, the effect of excipient variability on the design space and drug product quality is unclear.
Ji Yeon Kim, Du Hyung Choi
doaj +2 more sources
Design Space and Control Strategy for the Manufacturing of Wet Media Milled Drug Nanocrystal Suspensions by Adopting Mechanistic Process Modeling [PDF]
PharmaceuticsWet media milling is a fully industrialized technology for the manufacturing of drug nanocrystal suspensions. This work describes the development of an advanced control strategy and an associated design space for a manufacturing process at a commercial ...
André Bitterlich +2 more
doaj +2 more sources
Design Space Approach for the Optimization of Green Fluidized Bed Granulation Process in the Granulation of a Poorly Water-Soluble Fenofibrate Using Design of Experiment [PDF]
Pharmaceutics, 2022 In the pharmaceutical industry, the systematic optimization of process variables using a quality-by-design (QbD) approach is highly precise, economic and ensures product quality. The current research presents the implementation of a design-of-experiment (
Mohamed H. Fayed +3 more
doaj +2 more sources
Designing Network Design Spaces [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 CVPR ...
Ilija Radosavovic +4 more
openaire +2 more sources
Eyes on Lipinski's Rule of Five: A New "Rule of Thumb" for Physicochemical Design Space of Ophthalmic Drugs. [PDF]
J Ocul Pharmacol Ther, 2022 Karami TK +4 more
europepmc +2 more sources
Machine Learning in Structural Design: An Opinionated Review
Frontiers in Built Environment, 2022 The prominence gained by Artificial Intelligence (AI) over all aspects of human activity today cannot be overstated. This technology is no newcomer to structural engineering, with logic-based AI systems used to carry out design explorations as early as ...
Christian Málaga-Chuquitaype
doaj +1 more source
Pharmaceutics, 2022 Tablet manufacturing involves the processing of raw materials through several unit operations. Thus, the mitigation of input-induced variability should also consider the downstream processability of intermediary products.
Tibor Casian +7 more
doaj +1 more source