All Stories
- Landslide susceptibility prediction using frequency ratio model: a case study of Uttarakhand, Himalaya (India)
Article
- Influence of differential arsenic exposure on cellular redox homeostasis of exposed rural women of West Bengal
Article
- Application of a Novel Hybrid Machine Learning Algorithm in Shallow Landslide Susceptibility Mapping in a Mountainous Area
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- Predicting sustainable arsenic mitigation using machine learning techniques
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- Evaluating and predicting social behavior of arsenic affected communities: Towards developing arsenic resilient society
Article
- Application of Artificial Intelligence in Predicting Groundwater Contaminants
- Improving Voting Feature Intervals for Spatial Prediction of Landslides
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- Using Artificial Neural Network (ANN) for prediction of soil coefficient of consolidation
Article
- Comparison of Support Vector Machine, Bayesian Logistic Regression, and Alternating Decision Tree Algorithms for Shallow Landslide Susceptibility Mapping along a Mountainous Road in the West of Iran
- Using Artificial Neural Network (ANN) for prediction of soil coefficient of consolidation
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- GIS-based ensemble soft computing models for landslide susceptibility mapping
- Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
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- Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers
- A Commentary on the Application of Artificial Intelligence in the Insurance Industry
- A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers
- Arsenic Water Resources Contamination
- Global decision support dashboard of COVID-19
- COVID-19: A master stroke of Nature
Article
- Hybrid computational intelligence models for groundwater potential mapping
- Assessing the role of risk perception in ensuring sustainable arsenic mitigation
- Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam
- Beyond the wells: role of diet on arsenic induced toxicity in exposed populations of Bihar, India
- Groundwater arsenic contamination in selected area of Bihar
- Likelihood of adoption of arsenic-mitigation technologies under perceived risks to health, income, and social discrimination to arsenic contamination
- Study of arsenic in drinking water and food in three different districts of Bihar, India
- Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
- Assessing and Mapping Human Health Risks Due to Arsenic and Socioeconomic Correlates for Proactive Arsenic Mitigation
- A career in environmental informatics and environmental data science
- Landslide susceptibility modeling using hybrid machine learning techniques
- Microfeatures and microfabrication: current role of micro-electric discharge machining
- A Novel Hybrid Approach of Landslide Susceptibility Modeling Using Rotation Forest Ensemble and Different Base Classifiers
- Humanizing the landscapes of the Lesser Antilles during the Archaic Age
- Developing robust arsenic awareness prediction models using machine learning algorithms
- Groundwater Arsenic Contamination in the Ganga River Basin: A Future Health Danger
- Global groundwater arsenic contamination and poisoning
- Scientific ethics: a new approach
- An analysis of the cost-effectiveness of arsenic mitigation technologies: Implications for public policy
- Developing Sustainable Models of Arsenic-Mitigation Technologies in the Middle-Ganga Plain in India
Article
- Evaluating two freely available geocoding tools for geographical inconsistencies and geocoding errors
- Conceptual framework of a cloud-based decision support system for arsenic health risk assessment
- Global Arsenic Contamination: Living With the Poison Nectar
- Geospatial analysis of census data for targeting new businesses using geoeconomics
- Evaluating Hydrogeological and Topographic Controls on Groundwater Arsenic Contamination in the Middle-Ganga Plain in India: Towards Developing Sustainable Arsenic Mitigation Models
- Paleoenvironmental evidence for first human colonization of the eastern Caribbean
- A novel helical micro-valve for embedded micro-fluidic applications
- How the arsenic-affected perceive risk
- Mapping composite vulnerability to groundwater arsenic contamination: an analytical framework and a case study in India
- Disaster issues and management in farm and urban crop production
- Heavy Metal Contamination Levels in Vegetables Grown in an Urban Community Garden in the Northeast USA: A Preliminary Study
- Health Risk Assessment Due to Groundwater Arsenic Contamination: Children Are at High Risk