A study on ChatGPT for Industry 4.0: Background, potentials, challenges, and eventualities

Journal of Economy and Technology, Journal Year: 2023, Volume and Issue: 1, P. 127 - 143

Published: Aug. 24, 2023

ChatGPT is an Artificial Intelligence (AI)-powered Natural Language Processing (NLP) tool that comprehends and produces text in response to given commands. It can be adopted for various requirements, like answering our inquiries, assisting us with content creation, translating languages, more. The fourth industrial revolution, called "Industry 4.0," denotes a new production age focused on automation, digitalisation, real-time connectivity of systems. help Industry 4.0 variety ways. AI-driven process optimisation poised revolutionise by enhancing productivity, quality assurance, efficiency. For developing this paper, articles ChatGPT/ AI were identified through Scopus, ScienceDirect, Google Scholar ResearchGate. progresses due the incorporation cutting-edge technology AI, Machine Learning (ML), NLP Manufacturing operations are changing. language model becoming well-known daily use because its promising applications. In framework 4.0, it promises processes assist advancement boosting business productivity This paper studies major need 4.0. Various associated features, traits versatile competencies briefed. Finally, identifies discusses significant applications very flexible efficient method creating human-machine interfaces automatically generating text, which provides proper knowledge guidance employee. Applications include chatbots, virtual assistants, automated customer care, translation, production. future, will become effective communication automating

Language: Английский

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Smart healthcare system using integrated and lightweight ECC with private blockchain for multimedia medical data processing

Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 82(28), P. 44335 - 44358

Published: April 15, 2023

Language: Английский

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Modelling and Simulation of Electric Vehicle for Performance Analysis

Advances in mechatronics and mechanical engineering (AMME) book series, Journal Year: 2024, Volume and Issue: unknown, P. 295 - 320

Published: March 4, 2024

The mathematical model of the BEV is created in this instance using MATLAB/Simulink environment and evaluated several standard drive cycles order to evaluate performance. To ensure that battery continues operate a safe manner, fuzzy logic control employed determine regenerative braking component. implemented EV system's performance checked by authors with regard RES, braking, analysis. This accomplished artificial intelligence (AI) techniques. sensors detect external physical parameters. overall monitored two-way communication system cloud computing techniques wireless technology.

Language: Английский

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A novel energy optimization framework to enhance the performance of sensor nodes in Industry 4.0

Energy Science & Engineering, Journal Year: 2024, Volume and Issue: 12(3), P. 835 - 859

Published: Jan. 2, 2024

Abstract Industry 4.0 is a term used to refer the fourth industrial revolution, characterized by introduction of new technologies, such as Internet Things, Big Data, and artificial intelligence (AI). As number connected devices in settings grows, energy optimization sensors becomes increasingly essential. This paper proposes an framework for sensor nodes 4.0. The based on efficiency, conservation, harvesting principles. It designed optimize consumption while maintaining their performance. includes dynamic power management, scheduling, techniques reduce In addition, provides comprehensive approach optimization, including advanced analytics AI predict use. proposed model reached 96.93% sensitivity, 91.36% false discovery rate, 11.28% omission 90.12% prevalence threshold, 91.24% threat score. expected improve performance 4.0, enabling increased efficiency cost savings.

Language: Английский

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Optimized video internet of things using elliptic curve cryptography based encryption and decryption

Computers & Electrical Engineering, Journal Year: 2022, Volume and Issue: 101, P. 108022 - 108022

Published: April 25, 2022

Language: Английский

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RETRACTED ARTICLE: Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm

Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 82(25), P. 38561 - 38587

Published: March 22, 2023

Language: Английский

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A Comprehensive Review on Smart Health Care: Applications, Paradigms, and Challenges with Case Studies

Contrast Media & Molecular Imaging, Journal Year: 2022, Volume and Issue: 2022(1)

Published: Jan. 1, 2022

Growth and advancement of the Deep Learning (DL) Internet Things (IoT) are figuring out their way over modern contemporary world through integrating various technologies in distinct fields viz, agriculture, manufacturing, energy, transportation, supply chains, cities, healthcare, so on. Researchers had identified feasibility deep learning, cloud, IoT to enhance overall automation, where may prolong its application area utilizing cloud services can even applications data acquired by devices like sensors learning for disease detection diagnosis. This study explains a summary techniques utilized smart i.e., cloud-based-IoT fog computing challenges issues faced healthcare it presents wider scope as is not intended particular such aspatient monitoring, detection, diagnosing used developing this systems outlined. Smart health bestows quality life. Convenient comfortable living made possible provided (SHSs). Since massive with enormous broad spectrum diseases associated different organs, immense research be done overcome drawbacks traditional methods. effectively applied sector automate treatment process rural areas remotely. Applications include prevention diagnosis, fitness patient food mobile health, telemedicine, emergency systems, assisted living, self-management chronic diseases,

Language: Английский

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Millimeter-Wave Smart Antenna Solutions for URLLC in Industry 4.0 and Beyond

Sensors, Journal Year: 2022, Volume and Issue: 22(7), P. 2688 - 2688

Published: March 31, 2022

Industry 4.0 is a new paradigm of digitalization and automation that demands high data rates real-time ultra-reliable agile communication. Industrial communication at sub-6 GHz industrial, scientific, medical (ISM) bands has some serious impediments, such as interference, spectral congestion, limited bandwidth. These limitations hinder the throughput reliability requirements modern industrial applications mission-critical scenarios. In this paper, we critically assess potential 60 millimeter-wave (mmWave) ISM band an enabler for low-latency (URLLC) in smart manufacturing, factories, operations beyond. A holistic overview wireless standards key performance indicators are discussed. Then review antenna systems facilitating beyond presented. We envisage use crucial so URLLC could soar to its full potential.

Language: Английский

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Social context-aware and fuzzy preference temporal graph for personalized B2B marketing campaigns recommendations

Soft Computing, Journal Year: 2023, Volume and Issue: unknown

Published: July 13, 2023

Language: Английский

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An improved localization approach based on Sybil attack for WSN

Physical Communication, Journal Year: 2024, Volume and Issue: 63, P. 102283 - 102283

Published: Jan. 10, 2024

Language: Английский

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