A comprehensive review on design, monitoring, and failure in fixed offshore platforms

N Amiri, M Shaterabadi, K Reza Kashyzadeh… - Journal of Marine …, 2021 - mdpi.com
Offshore platforms have had diverse applications in the marine industry, for example, oil or
gas platforms can provide facilities to store the oil and gas before transport those to …

Machine learning applications in river research: Trends, opportunities and challenges

L Ho, P Goethals - Methods in Ecology and Evolution, 2022 - Wiley Online Library
As one of the earth's key ecosystems, rivers have been intensively studied and modelled
through the application of machine learning (ML). With the amount of large data available …

Data fusion and IoT for smart ubiquitous environments: A survey

F Alam, R Mehmood, I Katib, NN Albogami… - Ieee …, 2017 - ieeexplore.ieee.org
The Internet of Things (IoT) is set to become one of the key technological developments of
our times provided we are able to realize its full potential. The number of objects connected …

Fuzziness in protein interactions—a historical perspective

M Fuxreiter - Journal of molecular biology, 2018 - Elsevier
The proposal that coupled folding to binding is not an obligatory mechanism for intrinsically
disordered (ID) proteins was put forward 10 years ago. The notion of fuzziness implies that …

Zeroing neural network with fuzzy parameter for computing pseudoinverse of arbitrary matrix

VN Katsikis, PS Stanimirović… - … on Fuzzy Systems, 2021 - ieeexplore.ieee.org
A correlation between fuzzy logic systems (FLS) and zeroing neural networks (ZNN) design
is investigated. It is shown that the gain parameter included in ZNN design can be …

Modern soft-sensing modeling methods for fermentation processes

X Zhu, KU Rehman, B Wang, M Shahzad - Sensors, 2020 - mdpi.com
For effective monitoring and control of the fermentation process, an accurate real-time
measurement of important variables is necessary. These variables are very hard to measure …

Improved risk assessment model based on rough integrated clouds and ELECTRE-II method: an application to intelligent manufacturing process

M Sarwar, W Gulzar, S Ashraf - Granular Computing, 2023 - Springer
Abstract Failure Modes and Effect Analysis (FMEA) is a significant mathematical technique
for the risk assessment of the failure modes in the industrial automation and robotics which …

Daily suspended sediment yield estimation using soft-computing algorithms for hilly watersheds in a data-scarce situation: a case study of Bino watershed …

PS Tulla, P Kumar, DK Vishwakarma, R Kumar… - Theoretical and Applied …, 2024 - Springer
Water erosion creates adverse impacts on agricultural production, infrastructure, and water
quality across the world, especially in hilly areas. Regional-scale water erosion assessment …

Performance of fuzzy multi-criteria decision analysis of emergency system in COVID-19 pandemic. An extensive narrative review

VJ Clemente-Suárez, E Navarro-Jiménez… - International Journal of …, 2021 - mdpi.com
The actual coronavirus disease 2019 (COVID-19) pandemic has led to the limit of
emergency systems worldwide, leading to the collapse of health systems, police, first …

Multidimensional poverty and livelihood strategies in rural Iran

AA Barati, M Zhoolideh, M Moradi… - Environment …, 2022 - Springer
Poverty alleviation is a global challenge that concerns particularly developing countries, and
its reduction has been identified as the first Sustainable Development Goals in 2015 …