Longfei Zhou
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View article: GA-HPO PPO: A Hybrid Algorithm for Dynamic Flexible Job Shop Scheduling
GA-HPO PPO: A Hybrid Algorithm for Dynamic Flexible Job Shop Scheduling Open
The Job Shop Scheduling Problem (JSP), a classical NP-hard challenge, has given rise to various complex extensions to accommodate modern manufacturing requirements. Among them, the Dynamic Flexible Job Shop Scheduling Problem (DFJSP) remai…
View article: The Duke University Cervical Spine MRI Segmentation Dataset (CSpineSeg)
The Duke University Cervical Spine MRI Segmentation Dataset (CSpineSeg) Open
This work describes a publicly available dataset, the Duke University Cervical Spine MRI Segmentation Dataset (CSpineSeg), consisting of 1,255 cervical spine magnetic resonance imaging (MRI) examinations from 1,232 patients collected from …
View article: Enhancing spinal MRI segmentation with an asymmetric U-Net architecture
Enhancing spinal MRI segmentation with an asymmetric U-Net architecture Open
Spinal diseases are among the most prevalent health issues in modern society, significantly impacting patients’ quality of life. Diagnosing conditions such as disc herniation and spinal deformity requires advanced medical imaging tec…
View article: Additive Manufacturing: A Comprehensive Review
Additive Manufacturing: A Comprehensive Review Open
Additive manufacturing has revolutionized manufacturing across a spectrum of industries by enabling the production of complex geometries with unparalleled customization and reduced waste. Beginning as a rapid prototyping tool, additive man…
View article: MRI-based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum
MRI-based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum Open
Background PET can be used for amyloid-tau-neurodegeneration (ATN) classification in Alzheimer disease, but incurs considerable cost and exposure to ionizing radiation. MRI currently has limited use in characterizing ATN status. Deep learn…
View article: Computer Vision Techniques in Manufacturing
Computer Vision Techniques in Manufacturing Open
Computer vision techniques have played an important role in promoting the informatization, digitization and intelligence of industrial manufacturing systems. Considering the rapid development of computer vision techniques, we present a com…
View article: Computer Vision Techniques in Manufacturing
Computer Vision Techniques in Manufacturing Open
Computer vision techniques have played an important role in promoting the informatization, digitization and intelligence of industrial manufacturing systems. Considering the rapid development of computer vision techniques, we present a com…
View article: Deep reinforcement learning-based dynamic scheduling in smart manufacturing
Deep reinforcement learning-based dynamic scheduling in smart manufacturing Open
Scheduling problems are a classic type of optimization problems in the manufacturing domain, such as job shop scheduling, flexible job shop scheduling, and distributed job shop scheduling problems. Especially, the dynamic task scheduling p…
View article: A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin
A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin Open
With the development of technologies, such as big data, cloud computing, and the Internet of Things (IoT), digital twin is being applied in industry as a precision simulation technology from concept to practice. Further, simulation plays a…
View article: Modelling and simulation of logistics service selection in cloud manufacturing
Modelling and simulation of logistics service selection in cloud manufacturing Open
Cloud manufacturing is a service-oriented and networked manufacturing model in which manufacturing resources are provided to demanders in the manner of manufacturing services through the cloud manufacturing platform. The optimal selection …