A Study of Maturity Model for Assessing the Logistics 4.0 Transformation Level of Industrial Enterprises

Elibal, Kerem; Özceylan, Eren; Çetinkaya, Cihan

doi:10.1201/9780429327636-27

Cited by 2 publications

(2 citation statements)

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“…The concept that connecting machines, products, systems, and people that can share information and manage themselves and each other is called industry 4.0 [5][6][7]. There is an emergency with modern technology to meet the e-services requirements of modern-day society.…”

Section: Literature Reviewmentioning

confidence: 99%

Wireless Sensor Networks and Internet of Things for E-Services Applied Natural Language Processing and Deep Learning

MAH,

Skalna,

Pełech-Pilichowski

2023

Prime Archives in Applied Sciences

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Introduction:The internet of things integration with wireless sensor networks can monitor and record the physical conditions of the environment and forward the collected data to a central location. Natural language processing provides a human-data relationship (H2DR) that deep learning uses to train models of artificial neural networks representing human thoughts.Objective: To present methods on how remote systems collect data and semantically analyze and determine a situation. www.videleaf.com Method and Material: Natural language processing applied deep learning on content extraction and evaluation was examined to showcase the strength of e-services based on WSNs and IoTs. Results:Based on WSNs and IoTs on e-services, a score of 3.61 out of 5 grades was recorded. Conclusion:The study concluded that WSNs and IoTs applied NLP and DL are the best network technologies for E-services to achieve, content awareness, context extraction, summarization, and security standards.

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Section: Literature Reviewmentioning

confidence: 99%

Wireless Sensor Networks and Internet of Things for E-Services Applied Natural Language Processing and Deep Learning

MAH,

Skalna,

Pełech-Pilichowski

2023

Prime Archives in Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The concept that connecting machines, products, systems, and people that can share information and manage themselves and each other is called industry 4.0 [5,6,7]. There is an emergency with modern technology to meet the e-services requirements of modern-day society.…”

Section: Literature Reviewmentioning

confidence: 99%

Wireless sensor networks and internet of things for E-services applied natural language processing and deep learning

Muam

Skalna

Pełech-Pilichowski

2022

Preprint

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Introduction . The internet of things integration with wireless sensor networks can monitor and record the physical conditions of the environment and forward the collected data to a central location. Natural language processing provides a human-data relationship (H2DR) that deep learning uses to train models of artificial neural networks representing human thoughts. Objective To present methods on how remote systems collect data and semantically analyze and determine a situation. Method and material: Natural language processing applied deep learning on content extraction and evaluation was examined to showcase the strength of e-services based on WSNs and IoTs. Results Based on WSNs and IoTs on e-services, a score of 3.61 out of 5 grades was recorded. Conclusion The study concluded that WSNs and IoTs applied NLP and DL are the best network technologies for E-services to achieve, content awareness, context extraction, summarization, and security standards.

show abstract

A Study of Maturity Model for Assessing the Logistics 4.0 Transformation Level of Industrial Enterprises

Cited by 2 publications

References 1 publication

Wireless Sensor Networks and Internet of Things for E-Services Applied Natural Language Processing and Deep Learning

Wireless Sensor Networks and Internet of Things for E-Services Applied Natural Language Processing and Deep Learning

Wireless sensor networks and internet of things for E-services applied natural language processing and deep learning

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