Application of machine learning in optical fiber sensors

Y Zhou, Y Zhang, Q Yu, L Ren, Q Liu, Y Zhao - Measurement, 2024 - Elsevier
In recent years, with the increasing demand for intelligent society, intelligent photonics has
developed rapidly. Machine learning (ML), as a subset of artificial intelligence (AI), has …

Review of Compensation and Dispersion Techniques for Fiber Optic Lightpath Networks

S Sakthivel, M Mansoor Alam… - … of Computing and …, 2024 - journals.uob.edu.bh
Fiber optic communication system offers high-speed, long-distance connectivity and
integrates with effective data transmission for modern world applications. The primary …

Predictive Analytics for Inventory Management in E-commerce Using Machine Learning Algorithms

G Manoharan, A Sharma, VD Vani… - … on Advances in …, 2024 - ieeexplore.ieee.org
A description of the abstract for the research paper titled “Predictive Analytics for Inventory
Management in E-commerce Using Machine Learning Algorithms” is as follows: In this …

Application of Machine Learning Algorithms for Fault Detection and Diagnosis in Power Systems

MP Haripriya, RD Vasanth, MS Anand… - … on Advances in …, 2024 - ieeexplore.ieee.org
The operation of machine literacy algorithms for disfigurement identification and opinion
within power systems is presented in this exploration composition. In light of the added …

Analyzing the Transformation of Higher Education: Assessing Artificial Intelligence's Influence in the 21st Century

S Kumar, A Kumari, A Joshi, R Singh… - … on Advances in …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) technologies have grown very quickly in the twenty-first century.
This has had a huge effect on higher education. In order to get a full picture of AI's effects …

Machine Learning in Education: Predicting Student Performance Using Long Short-Term Memory Networks

J Alanya-Beltran - 2024 International Conference on Advances …, 2024 - ieeexplore.ieee.org
This exploratory study investigates how Long Short-Term Memory (LSTM) networks—a
particular kind of intermittent neural network—work to predict students' academic success …

Personalized Learning Recommendation System in E-learning Platforms Using Collaborative Filtering and Machine Learning

J Alanya-Beltran - 2024 International Conference on Advances …, 2024 - ieeexplore.ieee.org
Personalised learning recommendation systems are an essential component in the process
of enhancing the effectiveness of websites that provide online education. Educational …

Machine Learning Techniques for Credit Scoring in Banking with Management, HR, and Organizational Key Components

N Saxena, S Thandayuthapani… - … on Advances in …, 2024 - ieeexplore.ieee.org
Credit rating is crucial in the fast-changing 21st-century banking industry to determine
creditworthiness. Traditional credit score systems may not be able to handle today's complex …

Assessing the Efficacy and Influence of Learning Objectives via Natural Language Processing Algorithms and Machine Learning Techniques

SM Chandrakant - 2024 International Conference on Advances …, 2024 - ieeexplore.ieee.org
This paper presents a new approach exercising artificial intelligence (AI) to prognosticate
hand performance dynamics throughout work hours, easing informed opinions regarding …

AI-Driven Chatbots for E-Commerce Customer Support

KVS Prasad, LA Xavier, S Jain, R Subba… - … on Advances in …, 2024 - ieeexplore.ieee.org
The use of chatbots driven by artificial intelligence has become an important development in
the ever-changing world of online business. With their capacity to provide 24/7 help, these …