Proposing novel ensemble approach of particle swarm optimized and machine learning algorithms for drought vulnerability mapping in Jharkhand, India
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Proposing novel ensemble approach of particle swarm optimized and machine learning algorithms for drought vulnerability mapping in Jharkhand, India
Authors
Keywords
-
Journal
Geocarto International
Volume -, Issue -, Pages 1-32
Publisher
Informa UK Limited
Online
2021-10-05
DOI
10.1080/10106049.2021.1989500
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Spatial assessment of drought vulnerability using fuzzy-analytical hierarchical process: a case study at the Indian state of Odisha
- (2021) Sunil Saha et al. Geomatics Natural Hazards & Risk
- An improved SPEI drought forecasting approach using the long short-term memory neural network
- (2021) Abhirup Dikshit et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- A New Initialization Approach in Particle Swarm Optimization for Global Optimization Problems
- (2021) Waqas Haider Bangyal et al. Computational Intelligence and Neuroscience
- Constructing the machine learning techniques based spatial drought vulnerability index in Karnataka state of India
- (2021) Sunil Saha et al. Journal of Cleaner Production
- Applying deep learning and benchmark machine learning algorithms for landslide susceptibility modelling in Rorachu river basin of Sikkim Himalaya, India
- (2021) Kanu Mandal et al. Geoscience Frontiers
- An approach to characterise spatio-temporal drought dynamics
- (2020) Vitali Diaz et al. ADVANCES IN WATER RESOURCES
- Identification of patients with and without minimal hepatic encephalopathy based on gray matter volumetry using a support vector machine learning algorithm
- (2020) Qiu-Feng Chen et al. Scientific Reports
- Re-epithelialization and immune cell behaviour in an ex vivo human skin model
- (2020) Ana Rakita et al. Scientific Reports
- Vulnerability of vegetation activities to drought in Central Asia
- (2020) Haoyu Deng et al. Environmental Research Letters
- Seoul Bike Trip Duration Prediction using Data Mining Techniques
- (2020) Sathishkumar V E et al. IET Intelligent Transport Systems
- Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability
- (2020) Mariano Di Napoli et al. Landslides
- Evaluating the Performance of Individual and Novel Ensemble of Machine Learning and Statistical Models for Landslide Susceptibility Assessment at Rudraprayag District of Garhwal Himalaya
- (2020) Sunil Saha et al. Applied Sciences-Basel
- Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
- (2020) Wengang Zhang et al. Geoscience Frontiers
- Development of composite vulnerability index and district level mapping of climate change induced drought in Tamil Nadu, India
- (2020) G. Balaganesh et al. ECOLOGICAL INDICATORS
- Short-Term Spatio-Temporal Drought Forecasting Using Random Forests Model at New South Wales, Australia
- (2020) Abhirup Dikshit et al. Applied Sciences-Basel
- Integration of artificial intelligence with Meta classifiers for the gully erosion susceptibility assessment in Hinglo river basin, Eastern India
- (2020) Jagabandhu Roy et al. ADVANCES IN SPACE RESEARCH
- Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility
- (2020) Shahab S. Band et al. SENSORS
- Correction: Engström, J., et al. Drought Vulnerability in the United States: An Integrated Assessment. Water 2020, 12, 2033
- (2020) Johanna Engström et al. Water
- 3D deep learning based classification of pulmonary ground glass opacity nodules with automatic segmentation
- (2020) Duo Wang et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Long lead time drought forecasting using lagged climate variables and a stacked long short-term memory model
- (2020) Abhirup Dikshit et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Agricultural drought risk assessment of Northern New South Wales, Australia using geospatial techniques
- (2020) Muhammad Al-Amin Hoque et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Multi-timescale assessment of propagation thresholds from meteorological to hydrological drought
- (2020) Jiefeng Wu et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Randomization tests as alternative analysis methods for behavior-analytic data
- (2019) Andrew R. Craig et al. JOURNAL OF THE EXPERIMENTAL ANALYSIS OF BEHAVIOR
- Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
- (2019) Qingfeng He et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A Mixed Model Approach to Vegetation Condition Prediction Using Artificial Neural Networks (ANN): Case of Kenya’s Operational Drought Monitoring
- (2019) Adede et al. Remote Sensing
- Modeling monthly rainfall data using zero-adjusted models in the semi-arid, arid and extra-arid regions
- (2019) Hossein Zamani et al. METEOROLOGY AND ATMOSPHERIC PHYSICS
- Gully erosion susceptibility assessment and management of hazard-prone areas in India using different machine learning algorithms
- (2019) Amiya Gayen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Prediction of dissolved oxygen in urban rivers at the Three Gorges Reservoir, China: extreme learning machines (ELM) versus artificial neural network (ANN)
- (2019) Senlin Zhu et al. WATER QUALITY RESEARCH JOURNAL OF CANADA
- Ensemble of optimal trees, random forest and random projection ensemble classification
- (2019) Zardad Khan et al. Advances in Data Analysis and Classification
- Spatial Drought Characterization for Seyhan River Basin in the Mediterranean Region of Turkey
- (2019) Yonca Cavus et al. Water
- Disease progression and treatment response in data-driven subgroups of type 2 diabetes compared with models based on simple clinical features: an analysis using clinical trial data
- (2019) John M Dennis et al. Lancet Diabetes & Endocrinology
- A novel hybrid wrapper–filter approach based on genetic algorithm, particle swarm optimization for feature subset selection
- (2019) Fateme Moslehi et al. Journal of Ambient Intelligence and Humanized Computing
- cvauroc: Command to compute cross-validated area under the curve for ROC analysis after predictive modeling for binary outcomes
- (2019) Miguel Angel Luque-Fernandez et al. Stata Journal
- A detailed framework for the characterization of rainfall climatology in semiarid watersheds
- (2019) Pedro R. Mutti et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam
- (2019) Tran Van Phong et al. Geocarto International
- Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China
- (2019) Guoli Zhang et al. International Journal of Disaster Risk Science
- Drought characteristics and its impact on changes in surface vegetation from 1981 to 2015 in the Yangtze River Basin, China
- (2019) Weixia Jiang et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Dynamic drought risk assessment for maize based on crop simulation model and multi-source drought indices
- (2019) Feng Zhang et al. JOURNAL OF CLEANER PRODUCTION
- Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan
- (2019) Jie Dou et al. Landslides
- Future Changes in Precipitation and Drought Characteristics over Bangladesh Under CMIP5 Climatological Projections
- (2019) Kamruzzaman et al. Water
- Landslide Susceptibility Mapping Combining Information Gain Ratio and Support Vector Machines: A Case Study from Wushan Segment in the Three Gorges Reservoir Area, China
- (2019) Lanbing Yu et al. Applied Sciences-Basel
- Spatio-temporal patterns of energy exchange and evapotranspiration during an intense drought for drylands in Brazil
- (2019) Carlos A. C. dos Santos et al. International Journal of Applied Earth Observation and Geoinformation
- An improved Stacking framework for stock index prediction by leveraging tree-based ensemble models and deep learning algorithms
- (2019) Minqi Jiang et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Assessing drought vulnerability using geospatial techniques in northwestern part of Bangladesh
- (2019) Muhammad Al-Amin Hoque et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Estimating the Impact of Drought on Agriculture Using the U.S. Drought Monitor
- (2018) Yusuke Kuwayama et al. AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS
- Review on landslide susceptibility mapping using support vector machines
- (2018) Yu Huang et al. CATENA
- Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
- (2018) Haoyuan Hong et al. CATENA
- Trans-boundary variations of urban drought vulnerability and its impact on water resource management in Singapore and Johor, Malaysia
- (2018) C Joon Chuah et al. Environmental Research Letters
- Spatial prediction of rainfall-induced shallow landslides using gene expression programming integrated with GIS: a case study in Vietnam
- (2018) Nhat-Duc Hoang et al. NATURAL HAZARDS
- Applying genetic algorithms to set the optimal combination of forest fire related variables and model forest fire susceptibility based on data mining models. The case of Dayu County, China
- (2018) Haoyuan Hong et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Forest-rainfall cascades buffer against drought across the Amazon
- (2018) Arie Staal et al. Nature Climate Change
- A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment
- (2018) Wei Chen et al. Geocarto International
- Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide
- (2018) Iain J. Marshall et al. Research Synthesis Methods
- Assessing regional drought impacts on vegetation and evapotranspiration: a case study in Guanacaste, Costa Rica
- (2018) Savannah S. Cooley et al. ECOLOGICAL APPLICATIONS
- Online load frequency control in wind integrated power systems using modified Jaya optimization
- (2018) Chittaranjan Pradhan et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Iris tissue recognition based on GLDM feature extraction and hybrid MLPNN-ICA classifier
- (2018) Neda Ahmadi et al. NEURAL COMPUTING & APPLICATIONS
- Computational discovery of dynamic cell line specific Boolean networks from multiplex time-course data
- (2018) Misbah Razzaq et al. PLoS Computational Biology
- Future increases in irrigation water requirement challenge the water-food nexus in the northeast farming region of China
- (2018) Hanqing Xu et al. AGRICULTURAL WATER MANAGEMENT
- Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
- (2018) Binh Thai Pham et al. CATENA
- Potential increase in coastal wetland vulnerability to sea-level rise suggested by considering hydrodynamic attenuation effects
- (2017) José F. Rodríguez et al. Nature Communications
- Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam
- (2016) Dieu Tien Bui et al. International Journal of Digital Earth
- A Note on an Improved Self-Healing Group Key Distribution Scheme
- (2015) Hua Guo et al. SENSORS
- Impact of interleukin-10 and interleukin-28 gene polymorphisms on the development and course of lupus nephritis
- (2015) T. N. Krasnova et al. TERAPEVTICHESKII ARKHIV
- Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
- (2014) Mahyat Shafapour Tehrany et al. JOURNAL OF HYDROLOGY
- Performance evaluation of AquaCrop model for maize crop in a semi-arid environment
- (2012) M. Abedinpour et al. AGRICULTURAL WATER MANAGEMENT
- Climate change impacts, adaptive capacity, and vulnerability of European forest ecosystems
- (2009) Marcus Lindner et al. FOREST ECOLOGY AND MANAGEMENT
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now