Physical model informed fault detection and diagnosis of air handling units based on transformer generative adversarial network

K Yan, X Chen, X Zhou, Z Yan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Physics theory integrated machine learning models enhance the interpretability and
performance of artificial intelligence (AI) techniques to real-world industrial applications …

Edge-enabled federated sequential recommendation with knowledge-aware Transformer

S Wei, S Meng, Q Li, X Zhou, L Qi, X Xu - Future Generation Computer …, 2023 - Elsevier
The increasing ubiquity of recommendation systems in modern applications has brought
about significant changes in various aspects of our daily lives. However, the emergence of …

Abstractive text summarization based on improved semantic graph approach

A Khan, N Salim, H Farman, M Khan, B Jan… - International Journal of …, 2018 - Springer
The goal of abstractive summarization of multi-documents is to automatically produce a
condensed version of the document text and maintain the significant information. Most of the …

Pelican optimization algorithm with federated learning driven attack detection model in internet of things environment

FN Al-Wesabi, HA Mengash, R Marzouk… - Future Generation …, 2023 - Elsevier
Abstract The Internet of Things (IoT) is comprised of millions of physical devices
interconnected with the Internet through network that performs a task independently with …

Multi-scale image fusion through rolling guidance filter

L Jian, X Yang, Z Zhou, K Zhou, K Liu - Future Generation Computer …, 2018 - Elsevier
Image fusion is essential in enhancing visual quality by blending complementary images,
which are derived from different captured conditions or different sensors in the same scene …

A federated learning based approach for predicting landslide displacement considering data security

Y Yang, Y Lu, G Mei - Future Generation Computer Systems, 2023 - Elsevier
Homeland security is an important concern in contemporary society. National mega strategic
engineering areas and other key regions, characterized by the presence of high mountains …

Surface reconstruction from scattered point via RBF interpolation on GPU

S Cuomo, A Galletti, G Giunta… - … federated conference on …, 2013 - ieeexplore.ieee.org
In this paper we describe a parallel implicit method based on radial basis functions (RBF) for
surface reconstruction. Practical applicability of RBF methods is hindered by their high …

Anaphora resolved abstractive text summarization (AR-ATS) system

N Moratanch, S Chitrakala - Multimedia Tools and Applications, 2023 - Springer
Many people in this world are fond of reading, and text format is regarded as the official way
of communication. This has resulted in an increased production of text data in a highly …

Improving resolution of medical images with deep dense convolutional neural network

S Wei, W Wu, G Jeon, A Ahmad… - … : Practice and Experience, 2020 - Wiley Online Library
Doctors always desire high‐resolution medical images to have accurate diagnosis. Super‐
resolution (SR) is a technology that can improve the resolution of medical images …

3D data denoising via nonlocal means filter by using parallel GPU strategies

S Cuomo, P De Michele… - … and mathematical methods …, 2014 - Wiley Online Library
Nonlocal Means (NLM) algorithm is widely considered as a state‐of‐the‐art denoising filter
in many research fields. Its high computational complexity leads researchers to the …