Journal of Computing and Information Science in Engineering: Recent submissions
Now showing items 361-380 of 1535
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Reviewer's Recognition
(The American Society of Mechanical Engineers (ASME), 2/23/2023 )The Editor and Editorial Board of the Journal of Computing and Information Science in Engineering would like to thank all of the reviewers for volunteering their expertise and time reviewing manuscripts in 2022. Serving ... -
Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction
(The American Society of Mechanical Engineers (ASME), 11/8/2022 )When neural networks are applied to solve complex engineering problems, the lack of training data can make the predictions of the surrogate inaccurate. Recently, physics-constrained neural networks were introduced to ... -
Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications
(The American Society of Mechanical Engineers (ASME), 10/20/2022)Physics-constrained machine learning is emerging as an important topic in the field of machine learning for physics. One of the most significant advantages of incorporating physics constraints into machine learning methods ... -
Spatial Transform Depthwise Over-Parameterized Convolution Recurrent Neural Network for License Plate Recognition in Complex Environment
(The American Society of Mechanical Engineers (ASME), 10/10/2022)Automatic license plate recognition (ALPR) system has been widely used in intelligent transportation and other fields. However, in complex environments such as vehicle sound source localization, poor illumination, or bad ... -
Special Issue: Machine Intelligence for Engineering Under Uncertainties
(The American Society of Mechanical Engineers (ASME), 12/19/2022)Machine intelligence integrates computation, data, models, and algorithms to solve problems that are too complex for humans. During the last three decades, machine intelligence has been a highly researched topic and widely ... -
Untitled
(The American Society of Mechanical Engineers (ASME), 2022)Data sparsity is still the main challenge to apply machine learning models to solve complex scientific and engineering problems. The root cause is the “curse of dimensionality” in training these models. Training algorithms ... -
Dynamic Characteristics of Electromechanical Coupling and Fuzzy Control of Intelligent Joints for Robot Drive and Control
(The American Society of Mechanical Engineers (ASME), 2023)In this technical brief, the resonance problem of a robot joint is analyzed. By establishing the electromechanical coupling dynamic equation of the robot joint, the natural vibration characteristics of the electromechanical ... -
Cervical Spine Finite Element Models for Healthy Subjects: Development and Validation
(The American Society of Mechanical Engineers (ASME), 2023)Finite element modeling is a popular method for predicting kinematics and kinetics in spine biomechanics. With the advancement of powerful computational equipment, more detailed finite element models have been developed ... -
ClusteringBased Detection of Debye–Scherrer Rings
(The American Society of Mechanical Engineers (ASME), 2023)Calibration of the Xray powder diffraction (XRPD) experimental setup is a crucial step before data reduction and analysis, and requires correctly extracting individual Debye–Scherrer rings from the 2D XRPD image. This ... -
A MinimumControlTrajectoryDeviation Time Grid Reconstruction Strategy for CoDesign Approach
(The American Society of Mechanical Engineers (ASME), 2023)Optimizing dynamic engineering systems (DESs) is quite challenging due to the increasing pursuit of automation and intelligence in modern industry. However, most of the existing studies generally only focus on plant variables ... -
BiLSTMBased Dynamic Prediction Model for Pulling Speed of Czochralski SingleCrystal Furnace
(The American Society of Mechanical Engineers (ASME), 2023)With the rapid development of microelectronics science and technology, the quality of ICgrade silicon single crystal directly affects the yield and stability of the performance of semiconductor device production. As the ... -
Partitioned Active Learning for Heterogeneous Systems
(The American Society of Mechanical Engineers (ASME), 2023)Active learning is a subfield of machine learning that focuses on improving the data collection efficiency in expensivetoevaluate systems. Active learningapplied surrogate modeling facilitates costefficient analysis of ... -
Teeth Mold Point Cloud Completion Via Data Augmentation and Hybrid RLGAN
(The American Society of Mechanical Engineers (ASME), 2023)Teeth scans are essential for many applications in orthodontics, where the teeth structures are virtualized to facilitate the design and fabrication of the prosthetic piece. Nevertheless, due to the limitations caused by ... -
LongRange RiskAware Path Planning for Autonomous Ships in Complex and Dynamic Environments
(The American Society of Mechanical Engineers (ASME), 2023)Path planning and collision avoidance are common problems for researchers in vehicle and robotics engineering design. In the case of autonomous ships, the navigation is guided by the regulations for preventing collisions ... -
Hybrid MultiScale Convolutional Long ShortTerm Memory Network for Remaining Useful Life Prediction and Offset Analysis
(The American Society of Mechanical Engineers (ASME), 2023)Prognostic and health management (PHM) has become increasingly popular due to the requirement of improved maintenance techniques in the industry. Remaining useful life (RUL) estimation is an important parameter through ... -
Internal Leakage Detection in Hydraulic Pump Using ModelAgnostic Feature Ranking and Ensemble Classifiers
(The American Society of Mechanical Engineers (ASME), 2023)Hydraulic pumps are key drivers of fluid powerbased machines and demand high reliability during operation. Internal leakage is a key performance deteriorating fault that reduces pump’s efficiency and limits its predictability ... -
Reinforcement Learning for Efficient Design Space Exploration With Variable Fidelity Analysis Models
(The American Society of Mechanical Engineers (ASME), 2023)Reinforcement learning algorithms can autonomously learn to search a design space for highperformance solutions. However, modern engineering often entails the use of computationally intensive simulation, which can lead to ... -
Generative Transformers for Design Concept Generation
(The American Society of Mechanical Engineers (ASME), 2023)Generating novel and useful concepts is essential during the early design stage to explore a large variety of design opportunities, which usually requires advanced design thinking ability and a wide range of knowledge from ... -
Intelligent Detection and Classification of Surface Defects on ColdRolled Galvanized Steel Strips Using a DataDriven Faulty Model With Attention Mechanism
(The American Society of Mechanical Engineers (ASME), 2022)In the production of coldrolled galvanized steel strips used for stamping car body parts, the insitu and realtime defect detection is crucial for quality control, in which various types of defects inevitably occur. It is ... -
A New MultiObjective Genetic Algorithm for Assembly Line Balancing
(The American Society of Mechanical Engineers (ASME), 2022)The aim of this work is to enable a step towards a selfadapting digital toolset for manufacturing planning focusing on minimally constrained assembly line balancing. The approach includes the simultaneous definition of the ...