4.6 Article

Flood susceptibility mapping using meta-heuristic algorithms

Related references

Note: Only part of the references are listed.
Article Engineering, Civil

An Analytical Model of Page Dissemination for Efficient Big Data Transmission of C-ITS

Lina Yang et al.

Summary: This study focuses on improving data transmission efficiency in a dedicated transportation sensor network using network coding. The research builds the overall network structure and designs a time model and firefly algorithm. Experimental results show that the simulation results are consistent with the predicted results, and code images can be quickly and efficiently transmitted in the DTSN.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Article Computer Science, Information Systems

Dynamic Texture Classification Based on 3D ICA-Learned Filters and Fisher Vector Encoding in Big Data Environment

Zenggang Xiong et al.

Summary: This paper proposes a dynamic texture feature extraction method based on 3D filter learning and Fisher vector coding, aiming to achieve good performance by applying learning techniques in the big data environment. The method learns features from training data, can be well generalized to new data, captures spatial and temporal features simultaneously, and does not require a large number of computing resources to solve the big data classification problem.

JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY (2022)

Article Environmental Sciences

Wavelet Analysis of Dam Injection and Discharge in Three Gorges Dam and Reservoir with Precipitation and River Discharge

Lirong Yin et al.

Summary: This study aims to analyze the changes in river discharge and regional precipitation records before and after the construction of the Three Gorges Dam. The findings show a decrease in precipitation and reduced variability after the dam was built, as well as a decrease in river discharge.

WATER (2022)

Article Environmental Sciences

Statistical analysis of regional air temperature characteristics before and after dam construction

Ziyi Chen et al.

Summary: This paper focuses on the impact of mega-dam construction on regional climate, specifically analyzing the influence of Xiaolangdi Dam on the Yellow River and Three Gorges Dam on the Yangtze River. The results show that dam construction led to a decrease in temperature in the reservoir area and an increase in temperature in the downstream area. The rise in water level also caused a decrease in temperature in the reservoir area and reduced the temperature difference.

URBAN CLIMATE (2022)

Article Engineering, Electrical & Electronic

Visual Sensor Network Task Scheduling Algorithm at Automated Container Terminal

Chao Mi et al.

Summary: The visual sensor network (VSN) is an integral part of automated container terminals, but it faces challenges such as redundant sensor numbers and limited computing resources. This paper proposes a solution that transforms the task scheduling process of the VSN terminal into a Markov Decision Process, using a Deep-Q Learning algorithm. The algorithm introduces an innovative return value function to achieve better convergence. Experimental results demonstrate that the proposed algorithm improves the recognition rate and enables a reduction in the number of visual sensors, optimizing the use of computing resources and reducing costs, which is crucial for port operation optimization.

IEEE SENSORS JOURNAL (2022)

Article Computer Science, Interdisciplinary Applications

Comparison of dragonfly algorithm and Harris hawks optimization evolutionary data mining techniques for the assessment of bearing capacity of footings over two-layer foundation soils

Hossein Moayedi et al.

Summary: By utilizing novel evolutionary science, the accuracy of neural computing in analyzing the bearing capacity of footings over two-layer foundation soils is improved. The Harris hawks optimization and dragonfly algorithm are applied to a predictive tool, resulting in higher efficiency of the neural network. The dragonfly algorithm outperforms the Harris hawks optimization in terms of computational efficiency.

ENGINEERING WITH COMPUTERS (2021)

Article Computer Science, Artificial Intelligence

Research on image classification method based on improved multi-scale relational network

Wenfeng Zheng et al.

Summary: This paper investigates how to quickly learn from a small number of sample images. By using the model-independent meta-learning algorithm and the multi-scale meta-relational network, the generalization ability of the measurement is enhanced, leading to improved classification accuracy.

PEERJ COMPUTER SCIENCE (2021)

Article Engineering, Mechanical

A novel perturbation method to reduce the dynamical degradation of digital chaotic maps

Lingfeng Liu et al.

Summary: A novel perturbation method is proposed in this paper to reduce the dynamical degradation of digital chaotic maps, by perturbing the parameter and state during iteration to prevent the system from entering a cycle. Numerical experiments prove the effectiveness of this method and its ability to improve the dynamical characteristics of original chaotic maps in different scenarios.

NONLINEAR DYNAMICS (2021)

Article Computer Science, Artificial Intelligence

Climate and land use change induced future flood susceptibility assessment in a sub-tropical region of India

Paramita Roy et al.

Summary: Managing uncertain situations is important, and recent disaster planning for environmental planning has been crucial. Researchers use various methods to detect and reduce the impact of natural disasters, and in this study, different models were used to predict flood risks in the Ajoy River basin of India, with the BBO method providing the most optimal outcomes.

SOFT COMPUTING (2021)

Article Environmental Sciences

Flood Susceptibility Assessment Using Novel Ensemble of Hyperpipes and Support Vector Regression Algorithms

Asish Saha et al.

Summary: This study evaluated the prediction performance of flood susceptibility (FS) mapping in the Koiya River basin, Eastern India, using ensemble approach of hyperpipes (HP) and support vector regression (SVR) machine learning algorithms. The research found that the ensemble approach of HP-SVR was the most optimal model in FS assessment, followed by HP and SVR standalone ML algorithms.

WATER (2021)

Article Energy & Fuels

Reconstruction of the Cenozoic tectono-thermal history of the Dongpu Depression, Bohai Bay Basin, China: Constraints from apatite fission track and vitrinite reflectance data

Shu Jiang et al.

Summary: The study reconstructed the Cenozoic tectono-thermal histories of the Dongpu Depression, showing two heat flow maxima linked to rifting events. The maturation history of deep source rocks indicates a peak in hydrocarbon generation during the Oligocene Dongying Formation deposition.

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2021)

Article Geochemistry & Geophysics

Selection of Optimal Building Facade Texture Images From UAV-Based Multiple Oblique Image Flows

Guoqing Zhou et al.

Summary: This article presents an optimization method for selecting optimal building facade texture images from oblique images captured by multiple cameras onboard UAV. By using multiobjective functions and considering geometric correction, color equalization, and texture repair, the proposed method significantly reduces memory usage while maintaining high image quality.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

Article Geochemistry & Geophysics

Super-Resolution Mapping Based on Spatial-Spectral Correlation for Spectral Imagery

Peng Wang et al.

Summary: This study introduces a super-resolution mapping method based on spatial-spectral correlation to overcome the influences of imaging conditions on landcover class mapping. By combining spatial and spectral correlations, more accurate mapping results are obtained.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

Article Geosciences, Multidisciplinary

Torrential rainfall-induced landslide susceptibility assessment using machine learning and statistical methods of eastern Himalaya

Indrajit Chowdhuri et al.

Summary: Different techniques were used to predict landslide susceptibility, with the BRT-RF model showing exceptional predictive rates. The research findings have practical implications for planning and management to minimize landslide impacts.

NATURAL HAZARDS (2021)

Article Computer Science, Artificial Intelligence

A memetic algorithm based on two_Arch2 for multi-depot heterogeneous-vehicle capacitated arc routing problem

Bin Cao et al.

Summary: In order to address the growing problem of traffic pollution caused by the rapid increase in motor vehicles, a many-objective optimization model of multi-depot heterogeneous vehicle CARP is constructed in this study. Through the use of a memetic algorithm based on Two_Arch2, the model is effectively optimized and the pollution problem is successfully solved.

SWARM AND EVOLUTIONARY COMPUTATION (2021)

Article Environmental Sciences

Comparison of multi-criteria and artificial intelligence models for land-subsidence susceptibility zonation

Alireza Arabameri et al.

Summary: This study aimed to predict land subsidence susceptibility in the Shahroud plain, Iran, by using MCDM and AI models. Among the different methods used, the Cforest model showed the best performance, identifying 30.55% of the study area as extremely vulnerable to land subsidence. The results of this research will be valuable for planners and policymakers in implementing appropriate development strategies in the region.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2021)

Article Environmental Sciences

Drought Monitoring over Yellow River Basin from 2003-2019 Using Reconstructed MODIS Land Surface Temperature in Google Earth Engine

Xiaoyang Zhao et al.

Summary: This study used remote sensing technology and meteorological data to analyze drought conditions in the Yellow River Basin. The results show that reconstructed temperature and vegetation indices can improve the accuracy of drought monitoring, different drought indices show consistency in spatial and temporal patterns but differences in some local areas, and drought level in the Yellow River Basin is highest in the northwest and lowest in the southwest and southeast, remaining stable from 2003 to 2019.

REMOTE SENSING (2021)

Article Environmental Sciences

A Comprehensive Evaluation of Five Evapotranspiration Datasets Based on Ground and GRACE Satellite Observations: Implications for Improvement of Evapotranspiration Retrieval Algorithm

Lijun Chao et al.

Summary: The study compared the performance of five typical remote sensing evapotranspiration datasets and found that P-LSH and GLEAM performed the best at the annual scale, P-LSH outperformed the other four datasets at the seasonal scale, while MTE and PML showed higher accuracy in arid regions. MODIS and MTE tended to underestimate and overestimate ET values during estimation.

REMOTE SENSING (2021)

Article Multidisciplinary Sciences

Study on Strength Behavior of Basalt Fiber-Reinforced Loess by Digital Image Technology (DIT) and Scanning Electron Microscope (SEM)

Jian Xu et al.

Summary: Based on experiments and microscopic observations, the study found that soil samples with higher fiber content exhibit bulging failure, while those with lower fiber content or without fibers show shear band failure. The distribution and mechanical response of fibers in the soil are influenced by the fiber content and length.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2021)

Article Computer Science, Interdisciplinary Applications

Optimizing an ANN model with genetic algorithm (GA) predicting load-settlement behaviours of eco-friendly raft-pile foundation (ERP) system

Longqi Liu et al.

ENGINEERING WITH COMPUTERS (2020)

Article Green & Sustainable Science & Technology

Random forest regression evaluation model of regional flood disaster resilience based on the whale optimization algorithm

Dong Liu et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Article Environmental Sciences

Assessing drought vulnerability using geospatial techniques in northwestern part of Bangladesh

Muhammad Al-Amin Hoque et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2020)

Article Economics

Efficiency of the rail sections in Brazilian railway system, using TOPSIS and a genetic algorithm to analyse optimized scenarios

Dalmo Marchetti et al.

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2020)

Article Environmental Sciences

Soil moisture experiment in the Luan River supporting new satellite mission opportunities

Tianjie Zhao et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Article Geosciences, Multidisciplinary

The use of RUSLE and GCMs to predict potential soil erosion associated with climate change in a monsoon-dominated region of eastern India

Rabin Chakrabortty et al.

ARABIAN JOURNAL OF GEOSCIENCES (2020)

Article Environmental Sciences

Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility

Alireza Arabameri et al.

REMOTE SENSING (2020)

Article Green & Sustainable Science & Technology

Threats of climate and land use change on future flood susceptibility

Paramita Roy et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Article Engineering, Civil

Socio-technological tool for mapping susceptibility to urban flooding

Jakcemara Caprario et al.

JOURNAL OF HYDROLOGY (2019)

Article Geosciences, Multidisciplinary

Flood susceptibility modeling and hazard perception in Rwanda

Richard Mind'je et al.

INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION (2019)

Article Environmental Sciences

Multi-hazard probability assessment and mapping in Iran

Hamid Reza Pourghasemi et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2019)

Article Environmental Sciences

Earth fissure hazard prediction using machine learning models

Bahram Choubin et al.

ENVIRONMENTAL RESEARCH (2019)

Article Environmental Sciences

Modeling of water induced surface soil erosion and the potential risk zone prediction in a sub-tropical watershed of Eastern India

Subodh Chandra Pal et al.

MODELING EARTH SYSTEMS AND ENVIRONMENT (2019)

Article Computer Science, Artificial Intelligence

Local and Global Feature Learning for Blind Quality Evaluation of Screen Content and Natural Scene Images

Wujie Zhou et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)

Article Computer Science, Interdisciplinary Applications

A novel hybrid artificial intelligence approach for flood susceptibility assessment

Kamran Chapi et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2017)

Article Engineering, Multidisciplinary

Uplift resistance of belled and multi-belled piles in loose sand

Hossein Moayedi et al.

MEASUREMENT (2017)

Article Environmental Sciences

Global projections of river flood risk in a warmer world

Lorenzo Alfieri et al.

EARTHS FUTURE (2017)

Article Geosciences, Multidisciplinary

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

Mahyat Shafapour Tehrany et al.

CATENA (2015)

Article Environmental Sciences

Flood susceptibility mapping using integrated bivariate and multivariate statistical models

Mahyat Shafapour Tehrany et al.

ENVIRONMENTAL EARTH SCIENCES (2014)

Article Engineering, Civil

Typhoon flood forecasting using integrated two-stage Support Vector Machine approach

Gwo-Fong Lin et al.

JOURNAL OF HYDROLOGY (2013)

Article Computer Science, Artificial Intelligence

Housing price forecasting based on genetic algorithm and support vector machine

Gu Jirong et al.

EXPERT SYSTEMS WITH APPLICATIONS (2011)

Article Computer Science, Artificial Intelligence

Flood disaster loss comprehensive evaluation model based on optimization support vector machine

Zhiwei Huang et al.

EXPERT SYSTEMS WITH APPLICATIONS (2010)

Article Geosciences, Multidisciplinary

Fluvial flood risk management in a changing world

B. Merz et al.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2010)

Article Engineering, Civil

Comparison of three GIS-based hydrological models

Zhi-Jia Li et al.

JOURNAL OF HYDROLOGIC ENGINEERING (2008)

Article Water Resources

Artificial neural network approach to flood forecasting in the River Arno

M Campolo et al.

HYDROLOGICAL SCIENCES JOURNAL (2003)

Article Engineering, Electrical & Electronic

Optimal power flow using particle swarm optimization

MA Abido

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2002)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)