Multi-task learning for electricity price forecasting and resource management in cloud based industrial IoT systems

AA Almazroi, N Ayub - IEEE Access, 2023 - ieeexplore.ieee.org
Cloud computing has gained immense popularity in the logistics industry. This innovative
technology optimizes computing operations by eliminating the requirement for physical …

[HTML][HTML] Hyperspectral Imaging and Its Applications: A Review

A Bhargava, A Sachdeva, K Sharma, MH Alsharif… - Heliyon, 2024 - cell.com
Hyperspectral imaging has emerged as an effective powerful tool in plentiful military,
environmental, and civil applications over the last three decades. The modern remote …

A Review on Partial Discharge Localisation and Monitoring in Rotating Machine

MHHA Majid, NM Samsuddin… - 2023 IEEE 11th …, 2023 - ieeexplore.ieee.org
Rotating machines play a pivotal role in various industries, serving as the heart of power
generation, manufacturing, and transportation systems. Ensuring their reliable operation is …

[HTML][HTML] Reliability Estimation Using EM Algorithm with Censored Data: A Case Study on Centrifugal Pumps in an Oil Refinery

J Silva, P Vaz, P Martins, L Ferreira - Applied Sciences, 2023 - mdpi.com
Centrifugal pumps are widely employed in the oil refinery industry due to their efficiency and
effectiveness in fluid transfer applications. The reliability of pumps plays a pivotal role in …

Enhancing accuracy of sleep disorder with logistic regression model

T Soni, D Gupta, M Uppal - 2023 IEEE 2nd International …, 2023 - ieeexplore.ieee.org
Now-a-days, sleeping disorder are a topic of concern among the youth and person with
different health problems. It is important to note that sleep problems are not a recent …

Development of a hybrid predictive maintenance model

J Wiercioch - Journal of KONBiN, 2023 - journalofkonbin.com
Progress in the field of technology and science enables the digitalization of manufacturing
processes in the era of Industry 4.0. For this purpose, it uses tools which are referred to as …

Data Engineering: An Overview from a Future Perspective

A Jain, C Monga, S Mittal - 2023 6th International …, 2023 - ieeexplore.ieee.org
Data engineering is now an essential subject for handling, processing, and analysing big
data as the amount of data collected is increasing exponentially. This paper gives a future …

A User Preference-Based Food Recommender System using Artificial Intelligence

S Agarwal, M Uppal, D Gupta, S Juneja… - 2024 2nd …, 2024 - ieeexplore.ieee.org
The World Health Organization has identified the growing prevalence of non-communicable
diseases, including premature cardiac diseases, cancer and diabetes, as a significant …

Recommender System: Towards Identification of Shilling Attacks in Rating System Using Machine Learning Algorithms

M Kaur, S Rani - International Journal of Performability Engineering, 2023 - ijpe-online.com
Recommender System is a software tool that considers multiple parameters like the interest
of a user, historical user data, browsing behavior, etc. to provide suitable recommendations …

Transforming the Prediction of Heart Disease: An Empirical Analysis of Machine Learning Classifiers

T Soni, D Gupta, M Uppal - 2023 IEEE Pune Section …, 2023 - ieeexplore.ieee.org
The most prevalent diseases impacting the lives of individuals are those connected to the
human body's most critical organ, the heart. It is crucial to emphasize that heart disease …