Journal of Computing and Information Science in Engineering: Recent submissions
Now showing items 61-80 of 1402
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Optimizing Robotic Manipulation With Decision-RWKV: A Recurrent Sequence Modeling Approach for Lifelong Learning
(The American Society of Mechanical Engineers (ASME), 2025)Models based on the transformer architecture have seen widespread application across fields such as natural language processing (NLP), computer vision, and robotics, with large language models (LLMs) like ChatGPT revolutionizing ... -
Do Large Language Models Produce Diverse Design Concepts? A Comparative Study with Human-Crowdsourced Solutions
(The American Society of Mechanical Engineers (ASME), 2024)Access to large amounts of diverse design solutions can support designers during the early stage of the design process. In this article, we explored the efficacy of large language models (LLMs) in producing diverse design ... -
A Framework of Real-Time Knowledge Capture and Formalization for Model-Based Design With Spoken Annotation and Design Operations
(The American Society of Mechanical Engineers (ASME), 2024)Capturing knowledge without an extra burden on engineers is one of the most challenging issues in the engineering domain. This study proposes a framework of real-time knowledge capture and systematic formalization for the ... -
Calibration of RAFM Micromechanical Model for Creep Using Bayesian Optimization for Functional Output
(The American Society of Mechanical Engineers (ASME), 2025)A Bayesian optimization procedure is presented for calibrating a multimechanism micromechanical model for creep to experimental data of F82H steel. Reduced activation ferritic martensitic (RAFM) steels based on Fe(8–9)%Cr ... -
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models’ Understanding of Engineering Documentation
(The American Society of Mechanical Engineers (ASME), 2024)This research introduces DesignQA, a novel benchmark aimed at evaluating the proficiency of multimodal large language models (MLLMs) in comprehending and applying engineering requirements in technical documentation. Developed ... -
Ontology-Guided Data Sharing and Federated Quality Control With Differential Privacy in Additive Manufacturing
(The American Society of Mechanical Engineers (ASME), 2024)The scarcity of measured data for defect identification often challenges the development and certification of additive manufacturing processes. Knowledge transfer and sharing have become emerging solutions to small-data ... -
Adaptive Thermal History De-Identification for Privacy-Preserving Data Sharing of Directed Energy Deposition Processes
(The American Society of Mechanical Engineers (ASME), 2025)In collaborative additive manufacturing (AM), sharing process data across multiple users can provide small- to medium-sized manufacturers (SMMs) with enlarged training data for part certification, facilitating accelerated ... -
Understanding the Impact of Applying Large Language Model in Engineering Design Education
(The American Society of Mechanical Engineers (ASME), 2024)In the contemporary era of engineering education, the integration of large language models, offers a novel perspective on enhancing the design process. This study investigates the impact of ChatGPT-3.5 on mechanical ... -
Generative AI-Enabled Conceptualization: Charting ChatGPT’s Impacts on Sustainable Service Design Thinking With Network-Based Cognitive Maps
(The American Society of Mechanical Engineers (ASME), 2024)The rise of generative artificial intelligence (GAI) applications, epitomized by ChatGPT, has reshaped design processes by enhancing idea generation and conceptual depth for designers. However, the facilitating effects on ... -
LLM4CAD: Multimodal Large Language Models for Three-Dimensional Computer-Aided Design Generation
(The American Society of Mechanical Engineers (ASME), 2024)The evolution of multimodal large language models (LLMs) capable of processing diverse input modalities (e.g., text and images) holds new prospects for their application in engineering design, such as the generation of 3D ... -
A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing
(The American Society of Mechanical Engineers (ASME), 2024)This article provides an insightful review of the recent applications of machine learning (ML) techniques in additive manufacturing (AM) for the prediction and amelioration of mechanical properties, as well as the analysis ... -
A Robust Model for Hydrogen Supply Chain Network Design in China Under Renewable Energy Uncertainty
(The American Society of Mechanical Engineers (ASME), 2024)The increasing demand for new energy sources in China, coupled with the abundant waste, has prompted the exploration of converting excess renewable energy into hydrogen through electrolyzers. However, the uncertainty ... -
Reconstruction and Generation of Porous Metamaterial Units Via Variational Graph Autoencoder and Large Language Model
(The American Society of Mechanical Engineers (ASME), 2024)In this paper, we propose and compare two novel deep generative model-based approaches for the design representation, reconstruction, and generation of porous metamaterials characterized by complex and fully connected solid ... -
Learning to Allocate Time-Bound and Dynamic Tasks to Multiple Robots Using Covariant Attention Neural Networks
(The American Society of Mechanical Engineers (ASME), 2024)In various applications of multi-robotics in disaster response, warehouse management, and manufacturing, tasks that are known a priori and tasks added during run time need to be assigned efficiently and without conflicts ... -
A Digital Twin-Based Method for Assembly Deviations Analysis
(The American Society of Mechanical Engineers (ASME), 2024)This paper proposes and develops a digital twin-based method for assembly deviation analysis, which considers the impact of product shape deviations and uses assembly data in the product design phase to enhance the performance ... -
A Trajectory Planning Method for Capture Operation of Space Robotic Arm Based on Deep Reinforcement Learning
(The American Society of Mechanical Engineers (ASME), 2024)In order to deal with the complex dynamics and control problems involved in space debris removal, a trajectory planning technique for a spatial robotic arm based on twin delayed DDPG (TD3) in deep reinforcement learning ... -
An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning
(The American Society of Mechanical Engineers (ASME), 2024)Monitoring the condition of rotating machinery offers a salient tool for predictive maintenance of rolling elements subjected to continuous working loads, wear, fatigue, and degradation. In this study, an enhanced computational ... -
Dynamic Sensor Selection for Efficient Monitoring of Coupled Multidisciplinary Systems
(The American Society of Mechanical Engineers (ASME), 2024)Coupled multidisciplinary systems involve different disciplines/subsystems with feedback-coupled interactions, illustrating the complex interdependencies inherent in real-world engineering systems. Effective monitoring of ... -
Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM
(The American Society of Mechanical Engineers (ASME), 2024)Accurately estimating the state of charge (SOC) of batteries is crucial for the objective of extending battery life and enhancing power supply reliability. Currently, machine learning methods are commonly used to predict ... -
Supply and Demand Balance Control Strategy for Microgrids Considering Uncertainty and Disturbance Based on Online H∞ Policy Iteration
(The American Society of Mechanical Engineers (ASME), 2024)With the rapid growth of renewable energy generation, its proportion in power generation is increasing. Accompanied by this, due to the uncertain characteristics of renewable energy generation, the issue of imbalanced power ...