[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review

M Soori, B Arezoo, R Dastres - Cognitive Robotics, 2023 - Elsevier
Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …

Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook

RS Peres, X Jia, J Lee, K Sun, AW Colombo… - IEEE …, 2020 - ieeexplore.ieee.org
The advent of the Industry 4.0 initiative has made it so that manufacturing environments are
becoming more and more dynamic, connected but also inherently more complex, with …

Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education

RO Okunlaya, N Syed Abdullah, RA Alias - Library Hi Tech, 2022 - emerald.com
Purpose Artificial intelligence (AI) is one of the latest digital transformation (DT)
technological trends the university library can use to provide library users with alternative …

Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges

JS Devagiri, S Paheding, Q Niyaz, X Yang… - Expert Systems with …, 2022 - Elsevier
Augmented Reality (AR) is an augmented depiction of reality formed by overlaying digital
information on an image of objects being seen through a device. Artificial Intelligence (AI) …

Metaverse in healthcare integrated with explainable AI and blockchain: enabling immersiveness, ensuring trust, and providing patient data security

S Ali, Abdullah, TPT Armand, A Athar, A Hussain, M Ali… - Sensors, 2023 - mdpi.com
Digitization and automation have always had an immense impact on healthcare. It embraces
every new and advanced technology. Recently the world has witnessed the prominence of …

[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review

L Jin, X Zhai, K Wang, K Zhang, D Wu, A Nazir, J Jiang… - Materials & Design, 2024 - Elsevier
Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …

Remote big data management tools, sensing and computing technologies, and visual perception and environment mapping algorithms in the Internet of Robotic …

M Andronie, G Lăzăroiu, OL Karabolevski… - Electronics, 2022 - mdpi.com
The purpose of our systematic review was to inspect the recently published research on
Internet of Robotic Things (IoRT) and harmonize the assimilations it articulates on remote …

[HTML][HTML] Industry 4.0 for pharmaceutical manufacturing: Preparing for the smart factories of the future

NS Arden, AC Fisher, K Tyner, XY Lawrence… - International Journal of …, 2021 - Elsevier
Over the last two centuries, medicines have evolved from crude herbal and botanical
preparations into more complex manufacturing of sophisticated drug products and dosage …

Deep reinforcement learning in production systems: a systematic literature review

M Panzer, B Bender - International Journal of Production Research, 2022 - Taylor & Francis
Shortening product development cycles and fully customisable products pose major
challenges for production systems. These not only have to cope with an increased product …

Intelligent manufacturing execution systems: A systematic review

A Shojaeinasab, T Charter, M Jalayer, M Khadivi… - Journal of Manufacturing …, 2022 - Elsevier
The fast-growing demand for effective Industry 4.0-ready systems from academics and
practitioners has required an assessment of the state-of-the-art research and …