Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors
Electrohydrodynamic-jet (e-jet) printing technique enables the high-resolution printing of complex soft electronic devices. As such, it has an unmatched potential for becoming the conventional technique for printing soft electronic devices. In this study, the electrical conductivity of the e-jet printed circuits was studied as a function of key printing parameters (nozzle speed, ink flow rate, and voltage). The collected experimental dataset was then used to train a machine learning algorithm to establish models capable of predicting the characteristics of the printed circuits in real-time. Precision parameters were compared to evaluate the supervised classification models. Since decision tree methods could not increase the accuracy higher than 71%, more advanced algorithms are performed on our dataset to improve the precision of model. According to F-measure values, the K-NN model (k=10) and random forest are the best methods to classify the conductivity of electrodes. The highest accuracy of AdaBoost ensemble learning has resulted in the range of 10-15 trees (87%).
Code (0)
등록된 구현이 없습니다.
Tasks
BIG-bench Machine LearningEnsemble LearningMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Neural networks for the prediction organic chemistry reactions
Reaction prediction remains one of the major challenges for organic chemistry, and is a pre-requisite for efficient synthetic planning. It is desirable to develop algorithms that, like humans, "learn" from being exposed …
PredictionDr. KID: Direct Remeshing and K-set Isometric Decomposition for Scalable Physicalization of Organic Shapes
Dr. KID is an algorithm that uses isometric decomposition for the physicalization of potato-shaped organic models in a puzzle fashion. The algorithm begins with creating a simple, regular triangular surface mesh of organ…
ClusteringFingerprinting Fine-tuned Language Models in the Wild
There are concerns that the ability of language models (LMs) to generate high quality synthetic text can be misused to launch spam, disinformation, or propaganda. Therefore, the research community is actively working on …
AttributeMetaheuristics for the Online Printing Shop Scheduling Problem
In this work, the online printing shop scheduling problem introduced in (Lunardi et al., Mixed Integer Linear Programming and Constraint Programming Models for the Online Printing Shop Scheduling Problem, Computers & Ope…
Job Shop SchedulingSchedulingExploration of Low-Power Flexible Stress Monitoring Classifiers for Conformal Wearables
Conventional stress monitoring relies on episodic, symptom-focused interventions, missing the need for continuous, accessible, and cost-efficient solutions. State-of-the-art approaches use rigid, silicon-based wearables,…