Ozone Concentration Forecasting Using a Smart Hybridization of Deep Learning Models with Real-time Data
by Rathinam Gopal Sinha Jaya Muthukrishnan Chandraprabha kotha Vidhyavathi Palanisamy Preethi Rasappan Aruna
A Statistical Approach to Estimating Water Quality Parameter: A Case Study on Turkey's Rivers
by Yetik Mehmet Kazım
A Novel Approach for Predicting Particulate Matter 2.5 and 10 Concentration using Modal Autoformer and Seq-2Seq Model
by Thavasimuthu Rajendran PM Vidhya Varatharajan Arulkumar Sekar Sridhar Sighamani Ashokkumar Yadav Ajay Kumar
Enhanced deep maxout network for monitoring particulate matter 2.5 and 10 concentration in air via interpolated data smoothing
by Thavasimuthu Rajendran Arnise Saranya Arulkumar Varatharajan Sekar Sridhar AK Reshmy Yadav Ajay Kumar
Modelling of PM2.5 Concentrations Using Artificial Neural Networks: A Case Study of Islamabad
by Sadiq Naeem Uddin Zaheer
Water quality prediction and classification using Attention based Deep Differential RecurFlowNet with Logistic Giant Armadillo Optimization
by Venkatraman M, Surendran R, Senduru Srinivasulu Vijayakumar K,
Exploring Gene Expression Biclustering with Integrated PSO-SA-Fuzzy Logic Methodology and its Application to Air Pollution Analysis
by Deepajothi S. . M Umamaheswari Viswanathan A. Juliana R.
Real Time Monitoring of Air Pollution using AI based IoT and novel SARIMA technique in Sivakasi-Tamil Nadu
by Nirmalan R, Thendral Puyalnithi Karkuzhali S, Satish C, J,
Deep learning-based air pollution prediction model using modified gated recurrent unit
by Periyanan A. Rajan S, Palanivel
Air Pollution Monitoring Model in Real-time with cloud based Channel Ranging and Stego Privacy Preservation
by Radhakrishnan C. Asokan R,
Urban flood detection with the augmentation of gradient boosting and machine learning for prior warning sign over vulnerable zones
by Saravanabhavan C. Sherubha P. Swathika R. Ravi C.N.
Effective Deep Learning based Prediction Model for Groundwater Quality Assessment using Physio-chemical Parameters
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Water Quality Prediction using Statistical, Ensemble and Hybrid models
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A Real-time Environmental Air Pollution Predictor Model Using Dense Deep Learning Approach in IoT Infrastructure
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Prediction of Particulate Matter PM2.5 Using Bidirectional Gated Recurrent Unit with Feature Selection
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Graph-based neural network model for predicting urban environmental air quality using spatio-temporal data optimization
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An IoT-aware Air Quality Prediction System utilising Hybrid Optimization and Fuzzy Temporal Rules Enabled Auto Encoded Bi-LSTM
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Flood susceptibility in urban environment using multi-layered neural network model from satellite imagery sources
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Smart Air Pollution Monitoring System
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Spatio-temporal Land Use Regression Modelling of Ozone Levels in Athens, Greece.
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