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Advancing network security in industrial IoT: a deep dive into AI-enabled intrusion detection systems
The increasing use of Industrial Internet of Things (IIoT) devices has heightened concerns
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …
Implementing Lean 4.0: a review of case studies in pharmaceutical industry transformation
Purpose The purpose of this systematic review is to critically analyze pharmaceutical
industry case studies on the implementation of Lean 4.0 methodologies to synthesize key …
industry case studies on the implementation of Lean 4.0 methodologies to synthesize key …
Improving operations through a lean AI paradigm: A view to an AI-aided lean manufacturing via versatile convolutional neural network
Abstract Integrating Lean Manufacturing tools with artificial intelligence (AI) is emerging as a
revolutionary approach to optimize production processes, reduce waste, and enhance …
revolutionary approach to optimize production processes, reduce waste, and enhance …
A novel fully convolutional neural network approach for detection and classification of attacks on industrial IoT devices in smart manufacturing systems
Abstract Recently, Internet of things (IoT) devices have been widely implemented and
technologically advanced in manufacturing settings to monitor, collect, exchange, analyze …
technologically advanced in manufacturing settings to monitor, collect, exchange, analyze …
A deep hybrid learning model for detection of cyber attacks in industrial IoT devices
With the rapid advancement of wireless technology, the problem of cybersecurity monitoring
and detection of cyber-attacks has been receiving widespread attention from industry and …
and detection of cyber-attacks has been receiving widespread attention from industry and …
Integrating TPM and Industry 4.0 to increase the availability of industrial assets: A case study on a conveyor belt
As the global market becomes increasingly competitive and demanding, companies face the
challenge of responding swiftly and efficiently to customer needs. To maintain a competitive …
challenge of responding swiftly and efficiently to customer needs. To maintain a competitive …
Improving the concrete crack detection process via a hybrid visual transformer algorithm
Inspections of concrete bridges across the United States represent a significant commitment
of resources, given their biannual mandate for many structures. With a notable number of …
of resources, given their biannual mandate for many structures. With a notable number of …
A novel approach to voice of customer extraction using GPT-3.5 Turbo: Linking advanced NLP and Lean Six Sigma 4.0
This research breaks new ground by utilizing the advanced natural language processing
(NLP) capabilities of OpenAI's GPT-3.5 Turbo model for the extraction of voice of customer …
(NLP) capabilities of OpenAI's GPT-3.5 Turbo model for the extraction of voice of customer …
Implementing lean construction to improve quality and megaproject construction: a case study
K Idrissi Gartoumi, M Aboussaleh… - Journal of Financial …, 2024 - emerald.com
Purpose This paper aims to explore a framework for implementing Lean Construction (LC) to
provide corrective actions for quality defects, customer dissatisfaction and value creation …
provide corrective actions for quality defects, customer dissatisfaction and value creation …
International perspective on securing cyberspace against terrorist acts
MH Khater - International Journal of Sociotechnology and …, 2023 - igi-global.com
This research reviews the legal framework for protecting the security of cyberspace from
terrorist acts, using the following approaches: the legal approach, the descriptive approach …
terrorist acts, using the following approaches: the legal approach, the descriptive approach …