Results 251 to 260 of about 10,721,542 (345)

Population genomic variation in <i>Staphylococcus aureus</i> isolates from carriage and disease in Indigenous communities in the Southwest United States. [PDF]

Microb Genom
Cella E, Sutcliffe CG, Yazzie D, Anderson AS, Andrew L, Becenti L, Brasinikas G, Christensen L, Cowboy W, Dixon SL, Grant LR, Hao L, Hubler R, Jones H, Montanez P, Parker D, Rajyaguru U, Rice A, Romancito E, Salabye C, Tenequer VL, Thompson P, Tsingine M, Tso C, VanDeRiet D, Hammitt LL, Azarian T.   +26 more
europepmc   +1 more source

Facility-Level Factors Associated With Aspiration Pneumonia in Japanese Geriatric Health Service Settings: A Nationwide Cross-Sectional Study. [PDF]

Geriatr Gerontol Int
Wu X, Okazaki T, Okochi J, Ebihara S.
europepmc   +1 more source

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Logistics-involved QoS-aware service composition in cloud manufacturing with deep reinforcement learning

Robotics Comput. Integr. Manuf., 2021
Cloud manufacturing is a new manufacturing model that aims to provide on-demand manufacturing services to consumers over the Internet. Service composition is an essential issue as well as an important technique in cloud manufacturing (CMfg) that supports
Huagang Liang, Xiaoqian Wen, Yongkui Liu, Haifeng Zhang, Lin Zhang, Lihui Wang   +5 more
semanticscholar   +1 more source

A QoS-Aware Service Composition Mechanism in the Internet of Things Using a Hidden-Markov-Model-Based Optimization Algorithm

IEEE Internet of Things Journal, 2021
Recently, a new technology topic has been known as the Internet of Things (IoT), where all devices like smartphones, smart TVs, medical and healthcare ones, and home appliances have been applied for data generating.
S. Sefati, N. Navimipour
semanticscholar   +1 more source

Single‐objective service composition methods in cloud manufacturing systems: Recent techniques, classification, and future trends

Concurrency and Computation, 2021
In recent years, cloud manufacturing (CMfg) has been developed as an intelligent manufacturing system, in which geographically distributed manufacturing resources are available as services in the cloud platform.
Vahideh Hayyolalam, Behrouz Pourghebleh, Mohammad Reza Chehrehzad, A.A. Pourhaji Kazem   +3 more
semanticscholar   +1 more source

An enhanced multi-objective grey wolf optimizer for service composition in cloud manufacturing

Applied Soft Computing, 2020
This paper presents an enhanced multi-objective grey wolf optimizer (EMOGWO) for multi-objective service composition and optimal selection (MO-SCOS) problem in cloud manufacturing, wherein both the quality of service and the energy consumption are ...
Yefeng Yang, Bo Yang, Shilong Wang, Tianguo Jin, Shi Li   +4 more
semanticscholar   +1 more source

Service composition model and method in cloud manufacturing

Robotics Comput. Integr. Manuf., 2020
This study optimizes service composition on the basis of task requirements to solve the problem of multitask corresponding multi-service selection.
Ming-hai Yuan, Zhuo Zhou, Xianxian Cai, Chao Sun, Wenbin Gu   +4 more
semanticscholar   +1 more source

A novel cloud manufacturing service composition platform enabled by Blockchain technology

International Journal of Production Research, 2020
In the near future, manufacturing industries will be mostly recognised with characteristics like IoT, and massive data transactions. To fulfil these characteristics, paradigms like Cloud manufacturing, Industry 4.0 and smart factory have passed their ...
Ehsan Aghamohammadzadeh, O. F. Valilai
semanticscholar   +1 more source