Revolutionizing education with AI: Exploring the transformative potential of ChatGPT

T Adıgüzel, MH Kaya, FK Cansu - Contemporary …, 2023 - eresearch.ozyegin.edu.tr
Artificial intelligence (AI) introduces new tools to the educational environment with the
potential to transform conventional teaching and learning processes. This study offers a …

Artificial intelligence applications in supply chain management

M Pournader, H Ghaderi, A Hassanzadegan… - International Journal of …, 2021 - Elsevier
This paper presents a systematic review of studies related to artificial intelligence (AI)
applications in supply chain management (SCM). Our systematic search of the related …

Blockiotintelligence: A blockchain-enabled intelligent IoT architecture with artificial intelligence

SK Singh, S Rathore, JH Park - Future Generation Computer Systems, 2020 - Elsevier
In the recent year, Internet of Things (IoT) is industrializing in several real-world applications
such as smart transportation, smart city to make human life reliable. With the increasing …

[HTML][HTML] The past, present and future of photonic glasses: A review in homage to the United Nations International Year of glass 2022

W Blanc, YG Choi, X Zhang, M Nalin… - Progress in Materials …, 2023 - Elsevier
Since the invention and further development of lasers in the 1960s, photonics has grown
into a field that permeates virtually every aspect of modern life. As photonics deals with the …

Artificial intelligence: a survey on evolution, models, applications and future trends

Y Lu - Journal of Management Analytics, 2019 - Taylor & Francis
Artificial intelligence (AI) is one of the core drivers of industrial development and a critical
factor in promoting the integration of emerging technologies, such as graphic processing …

An overview on application of machine learning techniques in optical networks

F Musumeci, C Rottondi, A Nag… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Today's telecommunication networks have become sources of enormous amounts of widely
heterogeneous data. This information can be retrieved from network traffic traces, network …

Machine learning for network automation: overview, architecture, and applications [Invited Tutorial]

D Rafique, L Velasco - Journal of Optical Communications and …, 2018 - ieeexplore.ieee.org
Networks are complex interacting systems involving cloud operations, core and metro
transport, and mobile connectivity all the way to video streaming and similar user …

Artificial intelligence for decision support systems in the field of operations research: review and future scope of research

S Gupta, S Modgil, S Bhattacharyya, I Bose - Annals of Operations …, 2022 - Springer
Operations research (OR) has been at the core of decision making since World War II, and
today, business interactions on different platforms have changed business dynamics …

An optical communication's perspective on machine learning and its applications

FN Khan, Q Fan, C Lu, APT Lau - Journal of Lightwave …, 2019 - ieeexplore.ieee.org
Machine learning (ML) has disrupted a wide range of science and engineering disciplines in
recent years. ML applications in optical communications and networking are also gaining …

A systematic review of machine learning in logistics and supply chain management: current trends and future directions

M Akbari, TNA Do - Benchmarking: An International Journal, 2021 - emerald.com
Purpose This paper presents a review of the existing state-of-the-art literature on machine
learning (ML) in logistics and supply chain management (LSCM) by analyzing the current …