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Journal of Computing and Information Science in Engineering
EISSN: 1944-7078
ISSN: 1530-98270
Priority: 4
Publisher: American Society of Mechanical Engineers
Description: The Journal of Computing and Information Science in Engineering publishes archival research results and advanced technical applications More ...
Now showing items 1201-1210 of 1277
A Comparison Study of Human and Machine-Generated Creativity
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Creativity is a fundamental feature of human intelligence. However, achieving creativity is often considered a challenging task, particularly in design. In recent years, using computational machines to support people in ...
An Efficient Iso-Scallop Toolpath Planning Strategy Using Voxel-Based Computer Aided Design Model
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The primary objective of an efficient computer numerical control (CNC) finishing toolpath strategy is to reduce the machining time and maintain desired surface finish (scallop). Among traditional toolpath planning strategies, ...
A New Multi-Objective Genetic Algorithm for Assembly Line Balancing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The aim of this work is to enable a step towards a self-adapting digital toolset for manufacturing planning focusing on minimally constrained assembly line balancing. The approach includes the simultaneous definition of ...
Upper Extremity Joint Torque Estimation Through an Electromyography-Driven Model
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Cerebrovascular accidents like a stroke can affect the lower limb as well as upper extremity joints (i.e., shoulder, elbow, or wrist) and hinder the ability to produce necessary torque for activities of daily living. In ...
Spatial Transform Depthwise Over-Parameterized Convolution Recurrent Neural Network for License Plate Recognition in Complex Environment
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: 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 ...
Effects of Elastoplasticity, Damage, and Environmental Exposure on the Behavior of Adhesive Step-Lap Joints
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The presence of damage in the adhesive material as well as combined environmental excitation in multi-material adhesive step-lap joints (ASLJs) often encountered in aircraft industries are frequently neglected. Historically, ...
Special Issue: Machine Intelligence for Engineering Under Uncertainties
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: 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 ...
Metric-Based Meta-Learning for Cross-Domain Few-Shot Identification of Welding Defect
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: With the development of deep learning and information technologies, intelligent welding systems have been further developed, which achieve satisfactory identification of defective welds. However, the lack of labeled samples ...
Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: 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 ...
Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: 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 ...