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
Simulation of temperature trends and thermal stresses on a monument under climate change conditions
by Antoniou Anna Moussiopoulos Nicolas Theodossiou Nicolaos
Improving Ozone Layer Depletion Forecasting with Hybrid Bi-Directional LSTM with CNN Classifier Model
by Ali Javed
A Hybrid CNN-LSTM Predictive Model Deployed Federated Learning Model for Advanced Flood Prediction Systems to Forecast Coastal Region of Smart Cities
by Venkatesan Α Thiruvenkadam Krishnan
Weather Forecasting model using Attentive Residual Gated Recurrent Unit for urban flood Prediction
by BalajiK Vivek .R Sugumar .R Mahendran .P Subramanian
Flood Prediction in Chennai based on Extended Elman Spiking Neural Network using a Robust Chaotic Artificial Hummingbird optimizer
by .S Karthik .R Surendran G.V Sam Kumar Srinivasulu Senduru
Advanced Weather Prediction based on Hybrid Deep Gated Tobler’s Hiking Neural Network and robust Feature Selection for tackling Environmental Challenges
by .J Jasmine Jenifer Rayen Sonia Ramesh Tumaati Rajendran Surendran
A comparative analysis and prediction of carbon emission in India using Machine learning models
by Venkatesa Palanichamy Narasimma Bharathi Kalpana Muthuswamy Balakrishnan Natarajan Shantha Sheela M, Gitanjali Jothiprakash Kavitha Shanmugam Karthiba Loganathan Balamurugan Vasudevan Suresh Appavu Rajavel Marimuthu Dhivya Rajaram Syndhiya Ranjan
Multivariate time series weather forecasting model using integrated secondary decomposition and Self-Attentive spatio-temporal learning network
by Nirmal Kumar M, Subramanian P, Surendran R,
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 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,