Artificial intelligence, machine learning, and deep learning in structural engineering: a scientometrics review of trends and best practices

ATG Tapeh, MZ Naser - Archives of Computational Methods in …, 2023 - Springer
Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …

A review on soft computing and nanofluid applications for battery thermal management

A Can, F Selimefendigil, HF Öztop - Journal of Energy Storage, 2022 - Elsevier
This study is about applications of nanofluids and various soft computing algorithms on
designs of battery thermal management systems and their potential performance …

Q-learning-based data-aggregation-aware energy-efficient routing protocol for wireless sensor networks

WK Yun, SJ Yoo - IEEE Access, 2021 - ieeexplore.ieee.org
The energy consumption of the routing protocol can affect the lifetime of a wireless sensor
network (WSN) because tiny sensor nodes are usually difficult to recharge after they are …

Modeling groundwater potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniques

B Das, SC Pal, S Malik… - Geology, Ecology, and …, 2019 - Taylor & Francis
Remote sensing and geographical information system (RS-GIS) have become a leading tool
for modeling and mapping of groundwater resources. An attempt has been made to …

Groundwater vulnerability and contamination risk mapping of semi-arid Totko river basin, India using GIS-based DRASTIC model and AHP techniques

A Bera, BP Mukhopadhyay, S Das - Chemosphere, 2022 - Elsevier
Totko river basin is a semi-arid watershed, which undergoes severe water crisis during the
dry season. Presently, due to increase in population, demand of food has increased leading …

Soft computing techniques in structural and earthquake engineering: a literature review

R Falcone, C Lima, E Martinelli - Engineering Structures, 2020 - Elsevier
Although civil engineering problems are often characterized by significant levels of
complexity, they are generally approached and solved by combining several practitioners' …

Materials informatics: The materials “gene” and big data

K Rajan - Annual Review of Materials Research, 2015 - annualreviews.org
Materials informatics provides the foundations for a new paradigm of materials discovery. It
shifts our emphasis from one of solely searching among large volumes of data that may be …

A water quality management strategy for regionally protected water through health risk assessment and spatial distribution of heavy metal pollution in 3 marine …

Y Zhang, C Chu, T Li, S Xu, L Liu, M Ju - Science of the Total Environment, 2017 - Elsevier
Severe water pollution and resource scarcity is a major problem in China, where it is
necessary to establish water quality-oriented monitoring and intelligent watershed …

Application of firefly algorithm for load frequency control of multi-area interconnected power system

S Padhan, RK Sahu, S Panda - Electric power components and …, 2014 - Taylor & Francis
In this article, a firefly algorithm is proposed for load frequency control of multi-area power
systems. Initially a two equal area non-reheat thermal system is considered and the optimum …

Application of soft computing techniques to multiphase flow measurement: A review

Y Yan, L Wang, T Wang, X Wang, Y Hu… - Flow Measurement and …, 2018 - Elsevier
After extensive research and development over the past three decades, a range of
techniques have been proposed and developed for online continuous measurement of …