[HTML][HTML] Stochastic soliton solutions of conformable nonlinear stochastic systems processed with multiplicative noise

HU Rehman, I Iqbal, H Zulfiqar, D Gholami… - Physics Letters A, 2023 - Elsevier
Stochastic equations are powerful mathematical tools used to study systems having random
effects. The current manuscript studies the two distinct systems: the stochastic conformable …

GIS-based landslide susceptibility mapping of Western Rwanda: an integrated artificial neural network, frequency ratio, and Shannon entropy approach

VE Nwazelibe, JC Egbueri, CO Unigwe… - Environmental Earth …, 2023 - Springer
The May 2nd and 3rd, 2023 landslide in Rwanda's Western Province caused a devastating
natural disaster, resulting in the tragic loss of 95 lives. Ngororero, Rubavu, Nyabihu, and …

Predicting tunnel water inflow using a machine learning-based solution to improve tunnel construction safety

A Mahmoodzadeh, H Ghafourian… - Transportation …, 2023 - Elsevier
Water inflow is a typical and complicated geological hazard that may have a significant effect
on both the building timeline and the safety of a tunnel under construction. Therefore …

[HTML][HTML] On logarithmic transformation-based approaches for retrieving traveling wave solutions in nonlinear optics

Y Tang, H Rezazadeh - Results in Physics, 2023 - Elsevier
Finding solutions in the solitary wave-form for nonlinear Schrödinger's equations with
dispersive and dispersion terms is challenging but would yield interesting results. The basic …

Development of the artificial neural network's swarm-based approaches predicting East Azerbaijan landslide susceptibility mapping

Y Sun, H Dai, L Xu, A Asaditaleshi… - Environment …, 2023 - Springer
The objective of this investigation is to produce maps identifying areas prone to landslides
(LSMs) by utilizing multiple machine learning techniques, including the harmony search …

Ionospheric–thermospheric responses to geomagnetic storms from multi-instrument space weather data

R Shahzad, M Shah, MA Tariq, A Calabia… - Remote Sensing, 2023 - mdpi.com
We analyze vertical total electron content (vTEC) variations from the Global Navigation
Satellite System (GNSS) at different latitudes in different continents of the world during the …

A novel hybrid XGBoost methodology in predicting penetration rate of rotary based on rock-mass and material properties

MMK Kazemi, Z Nabavi, DJ Armaghani - Arabian Journal for Science and …, 2024 - Springer
Predicting the drill penetration rate is a fundamental requirement in mining operations,
profoundly impacting both the cost-effectiveness of mining activities and strategic mine …

Synchronized and Co-Located Ionospheric and Atmospheric Anomalies Associated with the 2023 Mw 7.8 Turkey Earthquake

SF Haider, M Shah, B Li, P Jamjareegulgarn… - Remote Sensing, 2024 - mdpi.com
Earth observations from remotely sensed data have a substantial impact on natural hazard
surveillance, specifically for earthquakes. The rapid emergence of diverse earthquake …

Machine-learning-based lithosphere-atmosphere-ionosphere coupling associated with Mw> 6 earthquakes in America

M Shah, R Shahzad, P Jamjareegulgarn, B Ghaffar… - Atmosphere, 2023 - mdpi.com
The identification of atmospheric and ionospheric variations through multiple remote
sensing and global navigation satellite systems (GNSSs) has contributed substantially to the …

Task offloading in Internet of Things based on the improved multi-objective aquila optimizer

M Nematollahi, A Ghaffari, A Mirzaei - Signal, Image and Video Processing, 2024 - Springer
Abstract The Internet of Things (IoT) is a network of tens of billions of physical devices that
are all connected to each other. These devices often have sensors or actuators, small …