Automatic floor plan analysis and recognition

PN Pizarro, N Hitschfeld, I Sipiran… - Automation in …, 2022‏ - Elsevier
Due to recent advances in machine learning, there has been an explosive development of
multiple methodologies that automatically extract information from architectural floor plans …

Prediction of therapeutic peptides using machine learning: computational models, datasets, and feature encodings

M Attique, MS Farooq, A Khelifi, A Abid - Ieee Access, 2020‏ - ieeexplore.ieee.org
Peptides, short-chained amino acids, have shown great potentials toward the investigation
and evolution of novel medications for treatment or therapy. The wet-lab based discovery of …

Gas turbine vibration monitoring based on real data and neuro-fuzzy system

B Nail, B Djaidir, IE Tibermacine, C Napoli… - …, 2024‏ - yadda.icm.edu.pl
The gas turbine is considered to be a very complex piece of machinery because of both its
static structure and the dynamic behavior that results from the occurrence of vibration …

A hybrid particle swarm optimization with dragonfly for adaptive anfis to model the corrosion rate in concrete structures

GR Khayati, Z Rajabi, M Ehteshamzadeh… - International Journal of …, 2022‏ - Springer
The use of reinforced concrete is common in marine structures. Failure of reinforcement due
to corrosion has detrimental impacts on nearly all of these structures. Hence, proposing an …

Dual-channel heterogeneous network for finger vein recognition based on transfer learning and improved coordinate attention

Y Chen, J Jie, J Chai, H Zheng… - International Journal of …, 2024‏ - inderscienceonline.com
In order to effectively improve the recognition accuracy of finger veins, a dual-channel
heterogeneous network based on transfer learning and coordinate attention is proposed …

A study on the Direction of Application of Metaverse in the Construction Industry

WJ Choi, SJ Heo, S Na, CK Kim - … of the Korean Institute of Building …, 2022‏ - koreascience.kr
Metaverse refers to a digitally expanded world by combining real and virtual spaces. As
reality expands into the digital world, various things that were not possible before are …

[PDF][PDF] Food-Derived Bioactive Peptides And Artificial Intelligence Techniques For Their Prediction: A Brief Review

M Terziyska, I Desseva, Z Terziyski - Int. J. Sci. Technol. Res, 2021‏ - researchgate.net
Biologically active peptides (BAPs) have a positive effect on human health, which is why
they are used as a basis for drug and functional foods development. They are therefore of …

Intelligent Backoff Management Scheme Applying Adaptive Neuro-Fuzzy Inference System in Vehicular Ad-hoc Networks

E Limouchi, F Chan - 2023 IEEE Symposium Series on …, 2023‏ - ieeexplore.ieee.org
Intelligent Transportation Systems rely heavily on the Vehicular Ad-hoc Network to enhance
road safety and comfort. This research proposes and evaluates an intelligent backoff …

Flip side of artificial intelligence technologies: New labor-intensive industry of the 21st century

S Heo, S Na, S Han, Y Shin, S Lee - Journal of the Computational …, 2021‏ - koreascience.kr
The paper acknowledges that many human resources are needed on the research and
development (R&D) process of artificial intelligence (AI), and discusses on factors to …

Non-periodic noisy signals denoising using adaptive neuro-fuzzy inference system (ANFIS)

I Santoso, A Warsito, T Prakoso, A Sofwan… - Journal of Physics …, 2020‏ - iopscience.iop.org
Signal always occurs with noise. Since noise acts as an unwanted signal, we must clear or
reduce it with some denoising method. It is relatively easy to denoise the normal distribution …