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Found 10 papers, 0 papers with code
AutoTRIZ: Artificial Ideation with TRIZ and Large Language Models
Researchers and innovators have made enormous efforts in developing ideation methods, such as morphological analysis and design-by-analogy, to aid engineering design ideation for problem solving and innovation.
ProtoCode: Leveraging Large Language Models for Automated Generation of Machine-Readable Protocols from Scientific Publications
In conclusion, ProtoCode can alleviate labor intensive curation and standardization of life science protocols to enhance research reproducibility by providing a reliable, automated means to process and standardize protocols.
Synthetic IMU Datasets and Protocols Can Simplify Fall Detection Experiments and Optimize Sensor Configuration
The proposed method simplifies fall detection data acquisition experiments, provides novel venue for generating low cost synthetic data in scenario where acquiring data for machine learning is challenging and paves the way for customizing machine learning configurations.
Patent Data for Engineering Design: A Critical Review and Future Directions
Patent data have long been used for engineering design research because of its large and expanding size, and widely varying massive amount of design information contained in patents.
Technology Fitness Landscape for Design Innovation: A Deep Neural Embedding Approach Based on Patent Data
Technology is essential to innovation and economic prosperity.
Deep Learning for Technical Document Classification
In large technology companies, the requirements for managing and organizing technical documents created by engineers and managers have increased dramatically in recent years, which has led to a higher demand for more scalable, accurate, and automated document classification.
Data-Driven Design-by-Analogy: State of the Art and Future Directions
Design-by-Analogy (DbA) is a design methodology wherein new solutions, opportunities or designs are generated in a target domain based on inspiration drawn from a source domain; it can benefit designers in mitigating design fixation and improving design ideation outcomes.
An Intelligent Passive Food Intake Assessment System with Egocentric Cameras
Malnutrition is a major public health concern in low-and-middle-income countries (LMICs).
Indoor Future Person Localization from an Egocentric Wearable Camera
Accurate prediction of future person location and movement trajectory from an egocentric wearable camera can benefit a wide range of applications, such as assisting visually impaired people in navigation, and the development of mobility assistance for people with disability.
A Convolutional Neural Network-based Patent Image Retrieval Method for Design Ideation
This approach is also illustrated in a case study of robot arm design retrieval.
