Prediction mapping of human leptospirosis using ANN, GWR, SVM and GLM approaches

A GIS-Based Artificial Neural Network Model for Spatial Distribution of Tuberculosis across the Continental United States

(2019) Abolfazl Mollalo et al.   International Journal of Environmental Research and Public Health

A Varied Density-based Clustering Approach for Event Detection from Heterogeneous Twitter Data

(2019) Zeinab Ghaemi et al.   ISPRS International Journal of Geo-Information

Design of microstrip moisture sensor for determination of moisture content in rice with improved mean relative error

(2019) Sweety Jain et al.   MICROWAVE AND OPTICAL TECHNOLOGY LETTERS

A semi-parametric geographically weighted (S-GWR) approach for modeling spatial distribution of population

(2018) Yaohuan Huang et al.   ECOLOGICAL INDICATORS

Extending geographically and temporally weighted regression to account for both spatiotemporal heterogeneity and seasonal variations in coastal seas

(2018) Zhenhong Du et al.   Ecological Informatics

Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0

(2018) Colm V. Gallagher et al.   ENERGY AND BUILDINGS

LaSVM-based big data learning system for dynamic prediction of air pollution in Tehran

(2018) Z. Ghaemi et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Spatio-temporal water quality mapping from satellite images using geographically and temporally weighted regression

(2018) Hone-Jay Chu et al.   International Journal of Applied Earth Observation and Geoinformation

Spatial distribution of snow depth based on geographically weighted regression kriging in the Bayanbulak Basin of the Tianshan Mountains, China

(2018) Yang Liu et al.   Journal of Mountain Science

Spatial and temporal dynamics of malaria in Madagascar

(2018) Felana A. Ihantamalala et al.   MALARIA JOURNAL

Spatiotemporal dynamics of human leptospirosis and its relationship with rainfall anomalies in Colombia

(2018) J D Gutiérrez et al.   TRANSACTIONS OF THE ROYAL SOCIETY OF TROPICAL MEDICINE AND HYGIENE

Acquaintance to Artificial Neural Networks and use of artificial intelligence as a diagnostic tool for tuberculosis: A review

(2018) Payal Dande et al.   TUBERCULOSIS

Travel-related leptospirosis in the Netherlands 2009–2016: An epidemiological report and case series

(2018) Sophia G. de Vries et al.   Travel Medicine and Infectious Disease

The non-linear and lagged short-term relationship between rainfall and leptospirosis and the intermediate role of floods in the Philippines

(2018) Naohiko Matsushita et al.   PLoS Neglected Tropical Diseases

A systematic review of human and animal leptospirosis in the Pacific Islands reveals pathogen and reservoir diversity

(2018) Vanina Guernier et al.   PLoS Neglected Tropical Diseases

Machine learning approaches in GIS-based ecological modeling of the sand fly Phlebotomus papatasi, a vector of zoonotic cutaneous leishmaniasis in Golestan province, Iran

(2018) Abolfazl Mollalo et al.   ACTA TROPICA

Scrub typhus in Jiangsu Province, China: epidemiologic features and spatial risk analysis

(2018) Huiyan Yu et al.   BMC INFECTIOUS DISEASES

Optimized Location-Allocation of Earthquake Relief Centers Using PSO and ACO, Complemented by GIS, Clustering, and TOPSIS

(2018) Bahram Saeidian et al.   ISPRS International Journal of Geo-Information

Small-area spatial statistical analysis of malaria clusters and hotspots in Cameroon;2000–2015

(2018) Marlvin Anemey Tewara et al.   BMC INFECTIOUS DISEASES

Use of freely available datasets and machine learning methods in predicting deforestation

(2017) Helen Mayfield et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Spatio-temporal prediction of crop disease severity for agricultural emergency management based on recurrent neural networks

(2017) Wei Xu et al.   GEOINFORMATICA

Predicting the outbreak of hand, foot, and mouth disease in Nanjing, China: a time-series model based on weather variability

(2017) Sijun Liu et al.   INTERNATIONAL JOURNAL OF BIOMETEOROLOGY

Assessing the performance of remotely-sensed flooding indicators and their potential contribution to early warning for leptospirosis in Cambodia

(2017) Julia Ledien et al.   PLoS One

Environmental risk of leptospirosis infections in the Netherlands: Spatial modelling of environmental risk factors of leptospirosis in the Netherlands

(2017) Ente J. J. Rood et al.   PLoS One

NDVI, scale invariance and the modifiable areal unit problem: An assessment of vegetation in the Adelaide Parklands

(2017) Hamideh Nouri et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Application and Sensitivity Analysis of Artificial Neural Network for Prediction of Chemical Oxygen Demand

(2017) Gebdang B. Ruben et al.   WATER RESOURCES MANAGEMENT

Illness Perceptions Explain the Variance in Functional Disability, but Not Habitual Physical Activity, in Patients With Chronic Low Back Pain: A Cross-Sectional Study

(2017) Marijke Leysen et al.   Pain Practice

A Remote Sensing Data Based Artificial Neural Network Approach for Predicting Climate-Sensitive Infectious Disease Outbreaks: A Case Study of Human Brucellosis

(2017) Jiao Wang et al.   Remote Sensing

Identification of burden hotspots and risk factors for cholera in India: An observational study

(2017) Mohammad Ali et al.   PLoS One

Mapping risk of leptospirosis in China using environmental and socioeconomic data

(2016) Jian Zhao et al.   BMC INFECTIOUS DISEASES

Predicting Renal Failure Progression in Chronic Kidney Disease Using Integrated Intelligent Fuzzy Expert System

(2016) Jamshid Norouzi et al.   Computational and Mathematical Methods in Medicine

Sensitivity analysis of environmental models: A systematic review with practical workflow

(2016) Francesca Pianosi et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Effect of temperature, relative humidity and rainfall on dengue fever and leptospirosis infections in Manila, the Philippines

(2016) A. SUMI et al.   EPIDEMIOLOGY AND INFECTION

Selecting predictors to maximize the transferability of species distribution models: lessons from cross-continental plant invasions

(2016) Blaise Petitpierre et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

New Algebraic Activation Function for Multi-Layered Feed Forward Neural Networks

(2016) K. V. Naresh Babu et al.   IETE JOURNAL OF RESEARCH

Correlation detection strategies in microbial data sets vary widely in sensitivity and precision

(2016) Sophie Weiss et al.   ISME Journal

Environmental factors and public health policy associated with human and rodent infection by leptospirosis: a land cover-based study in Nan province, Thailand

(2015) P. DELLA ROSSA et al.   EPIDEMIOLOGY AND INFECTION

Artificial neural network (ANN) method for modeling of sunset yellow dye adsorption using zinc oxide nanorods loaded on activated carbon: Kinetic and isotherm study

(2015) M. Maghsoudi et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

A Support Vector Machine-Firefly Algorithm based forecasting model to determine malaria transmission

(2013) Sudheer Ch et al.   NEUROCOMPUTING

Spatial analysis and mapping of malaria risk in an endemic area, south of Iran: A GIS based decision making for planning of control

(2012) A.A. Hanafi-Bojd et al.   ACTA TROPICA

Prediction of CO concentrations based on a hybrid Partial Least Square and Support Vector Machine model

(2012) B. Yeganeh et al.   ATMOSPHERIC ENVIRONMENT

Leptospira idonii sp. nov., isolated from environmental water

(2012) M. Saito et al.   INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY

Molecular Epidemiology of Leptospirosis in Northern Iran by Nested Polymerase Chain Reaction/Restriction Fragment Length Polymorphism and Sequencing Methods

(2010) Sedigheh Zakeri et al.   AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE

Spatio-temporal modelling of climate-sensitive disease risk: Towards an early warning system for dengue in Brazil

(2010) Rachel Lowe et al.   COMPUTERS & GEOSCIENCES

Leptospira: the dawn of the molecular genetics era for an emerging zoonotic pathogen

(2009) Albert I. Ko et al.   NATURE REVIEWS MICROBIOLOGY