Surface water quality in the Fen River Basin: 2016–2023 trends, the COVID-19 lockdown effects, and water governance implications
by Cheng Bingfen
Utilizing retro screening for toxicological evaluation and risk prediction of emerging micropollutants
by Dhiyanesh.B Anita Venaik Asha.A Kiruthiga.G Shakkeera.L
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
Integrating Artificial Intelligence for Enhanced Water Quality Prediction and Classification: A Multi-Model Approach
by Prithiviraj Kavitha Asaithambi Latha Raja Jalaludeen Mafaz Ahamed Ramachandran Ganesan Devarajulu Chitra Govindarajan Elumalai
Improving Ozone Layer Depletion Forecasting with Hybrid Bi-Directional LSTM with CNN Classifier Model
by Ali Javed
Wastewater Recycling Integration with IoT Sensor Vision for Real-time Monitoring and Transforming Polluted Ponds into Clean Ponds using HG-RNN
by Maruthai Suresh Rajendran Surendran Selvanarayanan Raveena .S Gowri
Wastewater Recycling Integration with IoT Sensor Vision for Real-time Monitoring and Transforming Polluted Ponds into Clean Ponds using HG-RNN
by Maruthai Suresh Rajendran Surendran Selvanarayanan Raveena .S Gowri
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
Air Quality Prediction Using a U-Net Inspired 1D-CNN with Attention Mechanisms
by Kanimozhi M, Malathy Panadi
Air pollution monitoring system using stacked attentional vectormap convolutional bidirectional network with bobcat optimization and IoT-cloud
by Prajul Mohandas Subramanian P, Surendran Rajendran
Modelling of PM2.5 Concentrations Using Artificial Neural Networks: A Case Study of Islamabad
by Sadiq Naeem Uddin Zaheer
Deploying and sensing the air quality index using internet of things and spark model
by Rajpradeesh T, Bathrinath S, Madeshwaren Vairavel Dhanasekar M, Askar Hussain A,
Prediction of Missing PAHs in the Songhua River using Monte Carlo Expansion, BP Neural Network, and Random Forest Models
by Cao Zhangwei Si Xiurong Chen Feng Li Min Meng Fansheng
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,
Fossil fuel emission prediction system using multiple kernel gaussian process
by Deborah S, Angel Sivanaiah Rajalakshmi Rajendram S, Milton Mirnalinee TT
Exploring the Impact of Pesticide Resistance in Agricultural Pest Management
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P. Satyanarayana, T. Guhan, T. Ganesan, A Bhagyalakshmi, L. Pallavi, Ashok Kumar Koshariya, M. Sabarimuthu, A. Rajaram
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Development of an Air Quality Forecasting System Using a Multimodal Deep Learning Framework Based on Satellite Images of Delhi City
by Gowthami Selvarajan
Wastewater Recycling to Enhance Environmental Quality using Fuzzy Embedded with RNN-IoT for Sustainable Coffee Farming
by Selvanarayanan Raveena Rajendran Surendran Pappa C Kanmani Thomas Bernatin
Neural Network Approach Modelling Mechanical Characteristics of Fly ash, Pond ash and Bottom Ash integrated Geopolymer Composites.
by Shanmugam Rajagopal Selvapriya Rajendran Tamilchelvan Paramasivam Gopinath Murugesan
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.