Journal of Computing and Information Science in Engineering: Recent submissions
Now showing items 21-40 of 1535
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User Needs Analysis in Design Research by Using Large Language Models as Interviewees
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. The advent of generative artificial intelligence (AI), such as large language models (LLMs), brings a vast range of possibilities and concerns for engineering design. The speed and efficiency of generative AI ... -
Generative Artificial Intelligence for Interpretable Satisficing Solution Design in Manufacturing
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. In multi-objective manufacturing, designers face increasing difficulty in visualizing and interpreting tradeoffs as the number of goals and decision variables grows. Traditional visualization methods offer intuitive ... -
Generative Model Predictive Control in Manufacturing Processes: A Review
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Manufacturing processes are inherently dynamic and uncertain, with varying parameters and nonlinear behaviors, making robust control essential for maintaining quality and reliability. Traditional control methods ... -
Diffusion Modeling-Based Generative Multimodal Data Fusion for Aerosol Jet Electronics Printing
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. The rising demand for high-value electronics necessitates advanced manufacturing techniques capable of meeting stringent specifications for precise, complex, and compact devices, driving the shift toward innovative ... -
Task and Motion Planning With Large Language Models Enhanced by Spatially Temporally Aware Tools for Smart Manufacturing
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. In smart factories, robots play a crucial role in executing critical operations such as material loading and unloading. Task and motion planning (TAMP) approaches enable robots to perform these tasks in an efficient ... -
Design Reuse Via Automated Requirements-Driven Retrieval: A Framework for Electronic Hardware
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Design reuse accelerates hardware development by improving efficiency, reducing costs, and shortening time-to-market. However, retrieving reusable circuit blocks directly from natural-language requirements remains ... -
Hybrid Temporal Modeling and Generative Augmentation for Imbalanced Multivariate Time Series Anomaly Detection in Engineering Systems
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Multivariate time series (MTS) data are central to engineering systems, where streams of sensor signals enable trend analysis, anomaly detection, and the discovery of operating patterns—supporting predictive ... -
Knowledge-Guided Generative Surrogate Modeling for High-Dimensional Design Optimization Under Scarce Data
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Surrogate models are widely used in mechanical design and manufacturing process optimization, where high-fidelity computational models may be unavailable or prohibitively expensive. Their effectiveness, however, ... -
Estimation of Control Intervals for Reinforcement Learning-Based Manufacturing-Line Control
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Generative AI is reshaping manufacturing by generating designs, diagnosing bottlenecks, and optimizing complex systems, which includes controlling manufacturing lines. Efficient control of manufacturing lines ... -
Agent-Based Framework for Engineering Document Comprehension With Large Language Models
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Engineering documents, such as design rule books and technical requirements, play a critical role in helping engineers ensure that their designs meet specified standards. Quickly retrieving and reasoning over ... -
A Model-Based Systems Engineering- and Large Language Model-Driven Method for Intelligent Generation of Aerial Bomb Design Solution
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Model-based systems engineering (MBSE) faces significant challenges in knowledge reuse and design agility. To address this gap, this study proposes and constructs an intelligent conceptual design framework for ... -
Characterizing Sequential Patterns of Human Behavior in Advanced Manufacturing
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Understanding sequential human behavior in manufacturing is essential for improving productivity, safety, and human–machine collaboration. However, little is known about how the temporal structure of these behaviors ... -
Special Issue on Generative Artificial Intelligence for Design, Manufacturing Processes, and Materials Systems: Part I
(The American Society of Mechanical Engineers (ASME), 2026)Generative artificial intelligence (AI) refers to the domain of AI systems designed to generate new information and artifacts by sampling from complex distributions captured from the data they were trained on. Encompassing ... -
Large Language Model and Knowledge Graph-Based Intelligent Control Framework for Smart Manufacturing
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. The rapid development of large language models (LLMs) and robotics is fundamentally reshaping the manufacturing sector. However, there are challenges for applying LLMs in robotic control, particularly in understanding ... -
A Mobile Robot Framework for Learning to Detect New Objects With Large Language Models
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Truly autonomous mobile robots must detect both known and unknown objects. This article proposes a fast, real-time open set object detector (OSOD) that enables mobile robots to identify both known and unknown ... -
Teaming Finite Element Analysis and Deep Learning to Advance Inverse Design of Metamaterial With Adaptive Pressure Response in Footwear Design
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Metamaterials (MMs) offer a promising solution for footwear design by enabling spatially tunable mechanical responses associated with comfort-related considerations. However, the current application of MMs in ... -
GenCAD-Self-Repairing: Latent Space Steering for Feasibility-Aware 3D Computer-Aided Design Generation
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Recent advancements in generative artificial intelligence have shown strong potential for automating computer-aided design (CAD) generation. Unlike commonly used point cloud or mesh representations in 3D generation ... -
Image2CADSeq: Computer-Aided Design Sequence and Knowledge Inference From Product Images
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Computer-aided design (CAD) tools empower designers to design and modify 3D models through a series of CAD operations, commonly referred to as a CAD sequence. In scenarios where digital CAD files are inaccessible, ... -
Shortcutting Monte Carlo Uncertainty Propagation Plans With Matched Digital Nets
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Planned uncertainty propagation tasks with Monte Carlo simulation often involve a set of predefined input samples to be propagated through a given model. This article presents a digital net matching scheme that ... -
Towards Co-Designing Manufacturing Supply Networks for Robustness and Resilience—A Decision-Based Design Perspective
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Manufacturing Supply Networks (MSNs) involve interrelated groups making network-specific and group-specific decisions across multiple levels of a decision hierarchy to realize correlated network and group ...