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International Journal of Environmental Science and Technology : IJEST|October 10, 2022
Modeling leaf area index using time-series remote sensing and topographic data in pure Anatolian black pine standsA Günlü, S BulutInternational Journal of Environmental Science and Technology : IJEST|June 26, 2023
A mixed method assessment of research productivity on microplastics in various compartments in the environmentA O Adeniji, K Okaiyeto, J N Mohammed, et al.International Journal of Environmental Science and Technology : IJEST|September 9, 2020
Coronavirus pandemic (COVID-19) and its natural environmental impactsP F Rupani, M Nilashi, R A Abumalloh, et al.International Journal of Environmental Science and Technology : IJEST|November 23, 2020
COVID-19 pandemic and its positive impacts on environment: an updated reviewI Khan, D Shah, S S ShahInternational Journal of Environmental Science and Technology : IJEST|July 11, 2022
Groundwater quality prediction based on LSTM RNN: An Iranian experienceD Valadkhan, R Moghaddasi, A MohammadinejadInternational Journal of Environmental Science and Technology : IJEST|July 20, 2022
Waste management model for COVID-19: recommendations for future threatsD Yadav, S Mann, A BalyanInternational Journal of Environmental Science and Technology : IJEST|August 2, 2022
Real-time assessment of the Ganga river during pandemic COVID-19 and predictive data modeling by machine learningJ Singh, S Swaroop, P Sharma, et al.International Journal of Environmental Science and Technology : IJEST|January 30, 2023
Estimation of household water consumption pattern in a metropolitan area taking the impact of the COVID-19 pandemicH Sabzchi-Dehkharghani, A Majnooni-Heris, A Fakherifard, et al.International Journal of Environmental Science and Technology : IJEST|June 26, 2023
An investigation of the PM2.5 concentrations and cumulative inhaled dose during subway commutes in Changchun, ChinaL Chang, W T Chong, Y H Yau, et al.International Journal of Environmental Science and Technology : IJEST|June 26, 2023
Evolution of neural network to deep learning in prediction of air, water pollution and its Indian contextB P Nandi, G Singh, A Jain, et al.Pageof 11