[HTML][HTML] Natural language processing applied to tourism research: A systematic review and future research directions

MÁ Álvarez-Carmona, R Aranda… - Journal of king Saud …, 2022 - Elsevier
The social networks and the rapid development of new technologies have led to
considerable changes in the tourism industry. Artificial intelligence, in particular natural …

Exploration information systems–A proposal for the future use of GIS in mineral exploration targeting

M Yousefi, OP Kreuzer, V Nykänen, JMA Hronsky - Ore Geology Reviews, 2019 - Elsevier
The advent of modern data collection and storage technologies has brought about a huge
increase in data volumes with both traditional and machine learning tools struggling to …

Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution

H Hong, M Panahi, A Shirzadi, T Ma, J Liu… - Science of the total …, 2018 - Elsevier
Floods are among Earth's most common natural hazards, and they cause major economic
losses and seriously affect peoples' lives and health. This paper addresses the development …

Studies in Fuzziness and Soft Computing 295

J Kacprzyk - 2013 - Springer
The present manuscript is intended to be a textbook that could serve both undergraduate
and graduate students when studying Fuzzy Set Theory and Applications. It is also intended …

Novel hybrid evolutionary algorithms for spatial prediction of floods

DT Bui, M Panahi, H Shahabi, VP Singh, A Shirzadi… - Scientific reports, 2018 - nature.com
Adaptive neuro-fuzzy inference system (ANFIS) includes two novel GIS-based ensemble
artificial intelligence approaches called imperialistic competitive algorithm (ICA) and firefly …

[ΒΙΒΛΙΟ][B] Evolving fuzzy systems-methodologies, advanced concepts and applications

E Lughofer - 2011 - Springer
In today's industrial systems, economic markets, life and health-care sciences fuzzy systems
play an important role in many application scenarios such as system identification, fault …

Flood susceptibility assessment by using bivariate statistics and machine learning models-a useful tool for flood risk management

R Costache - Water Resources Management, 2019 - Springer
In Romania, as in the rest of the world, the flood frequency has increased considerably.
Prahova river basin is among the most exposed catchments of the country to flood risk. It …

Fuzzification of continuous-value spatial evidence for mineral prospectivity map**

M Yousefi, EJM Carranza - Computers & Geosciences, 2015 - Elsevier
Complexities of geological processes portrayed as certain feature in a map (eg, faults) are
natural sources of uncertainties in decision-making for exploration of mineral deposits …

Selected AI optimization techniques and applications in geotechnical engineering

KC Onyelowe, FF Mojtahedi, AM Ebid… - Cogent …, 2023 - Taylor & Francis
In an age of depleting earth due to global warming impacting badly on the ozone layer of the
earth system, the need to employ technologies to substitute those engineering practices …

Knowledge-based and data-driven fuzzy modeling for rockburst prediction

AC Adoko, C Gokceoglu, L Wu, QJ Zuo - International Journal of Rock …, 2013 - Elsevier
Since rockburst is a violent expulsion of rock in high geostress condition, this causes
considerable damages to underground structures, equipments and most importantly …