Mapping urban land surface temperature using remote sensing techniques and artificial neural network modelling

Surface Temperature ◽

Land Surface Temperature ◽

Land Surface ◽

Network Modelling ◽

Remote Sensing Techniques ◽

Artificial neural network modelling for biodecolorization of Basic Violet 03 from aqueous solution by biochar derived from agro-bio waste of groundnut hull: Kinetics and thermodynamics

Chemosphere ◽

10.1016/j.chemosphere.2021.130191 ◽

2021 ◽

Vol 276 ◽

pp. 130191

Author(s):

Saravanan Praveen ◽

Josephraj Jegan ◽

Thillainayagam Bhagavathi Pushpa ◽

Ravindiran Gokulan

Keyword(s):

Neural Network ◽

Aqueous Solution ◽

Network Modelling ◽

Kinetics And Thermodynamics ◽

Artificial Neural ◽

Support Vector Machine and Artificial Neural Network Modelling of Orogenic Gold Prospectivity Mapping in the Swayze greenstone belt, Ontario, Canada

Ore Geology Reviews ◽

10.1016/j.oregeorev.2020.103968 ◽

2020 ◽

pp. 103968

Author(s):

Francisca Maepa ◽

Richard S. Smith ◽

Abera Tessema

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Greenstone Belt ◽

Orogenic Gold ◽

Support Vector ◽

Network Modelling ◽

Artificial Neural Network Modelling ◽

Prospectivity Mapping

ARIMA modeling for forecasting land surface temperature and determination of urban heat island using remote sensing techniques for Chennai city, India

Arabian Journal of Geosciences ◽

10.1007/s12517-021-07351-5 ◽

2021 ◽

Vol 14 (11) ◽

Author(s):

Ramesh Kesavan ◽

Misba Muthian ◽

Karuppasamy Sudalaimuthu ◽

Shirly Sundarsingh ◽

Saravanan Krishnan

Keyword(s):

Remote Sensing ◽

Surface Temperature ◽

Land Surface Temperature ◽

Land Surface ◽

Heat Island ◽

Urban Heat ◽

Arima Modeling ◽

Remote Sensing Techniques ◽

Chennai City

Artificial Neural Network Modelling for Short Term Load Forecasting

10.1109/ict-pep53949.2021.9601105 ◽

2021 ◽

Author(s):

Mahshooq Abdul Majeed ◽

Soumya Mudgal ◽

Lalit Tak ◽

Janavi Popat ◽

Harsh Kakadiya ◽

...

Keyword(s):

Neural Network ◽

Load Forecasting ◽

Short Term ◽

Network Modelling ◽

Short Term Load Forecasting ◽

Artificial Neural ◽

Artificial neural network modelling of Cr(VI) surface adsorption with NiO nanoparticles using the results obtained from optimization of response surface methodology

Neural Computing and Applications ◽

10.1007/s00521-017-3172-8 ◽

2017 ◽

Vol 29 (10) ◽

pp. 969-979 ◽

Cited By ~ 3

Author(s):

Saber Khodaei Ashan ◽

Nasim Ziaeifar ◽

Rana Khalilnezhad

Keyword(s):

Neural Network ◽

Response Surface Methodology ◽

Response Surface ◽

Surface Adsorption ◽

Nio Nanoparticles ◽

Network Modelling ◽

Artificial Neural ◽

Estimations of Stress Concentration Factors (Cw/Kts) For Helical Circular/Square Cross Sectional Tension-Compression Springs And Artificial Neural Network Modelling

Journal of Polytechnic ◽

10.2339/politeknik.718550 ◽

2020 ◽

Author(s):

M. Tolga ÖZKAN ◽

İhsan TOKTAŞ ◽

Kaan DOĞANAY

Keyword(s):

Neural Network ◽

Stress Concentration ◽

Network Modelling ◽

Cross Sectional ◽

Concentration Factors ◽

Compression Springs ◽

Stress Concentration Factors ◽

Minimum fluidization velocities of binary Solid mixture – Empirical correlation and Genetic Algorithm‐Artificial Neural Network Modelling

Chemical Engineering & Technology ◽

10.1002/ceat.202100170 ◽

2021 ◽

Author(s):

Sudipta Let ◽

Nirjhar Bar ◽

Ranjan Kumar Basu ◽

Sudip Kumar Das

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Empirical Correlation ◽

Network Modelling ◽

Solid Mixture ◽

Minimum Fluidization ◽

Artificial Neural ◽

Advances in Robotics, Automation and Data Analytics - Advances in Intelligent Systems and Computing ◽

Artificial Neural Network Modelling for Slow Pyrolysis Process of Biochar from Banana Peels and Its Effect on O/C Ratio

10.1007/978-3-030-70917-4_32 ◽

2021 ◽

pp. 336-350

Author(s):

Neoh Jia Hsiang ◽

Anurita Selvarajoo ◽

Senthil Kumar Arumugasamy

Keyword(s):

Neural Network ◽

Pyrolysis Process ◽

Network Modelling ◽

Slow Pyrolysis ◽

Artificial Neural ◽

Artificial Neural Network Modelling of Common Lambsquarters Biomass Production Response to Corn Population and Planting Pattern

Pakistan Journal of Biological Sciences ◽

10.3923/pjbs.2007.326.334 ◽

2007 ◽

Vol 10 (2) ◽

pp. 326-334 ◽

Cited By ~ 3

Author(s):

S.F. Saberali ◽

S.A. Sadat Noor ◽

J. Khazaei ◽

A. Hejazi

Keyword(s):

Neural Network ◽

Biomass Production ◽

Network Modelling ◽

Planting Pattern ◽

Common Lambsquarters ◽

Artificial Neural ◽

Artificial Neural Network Modelling ◽

Production Response

Artificial neural network modelling of moisture content evolution for convective drying of cylindrical quince slices

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2019.105074 ◽

2020 ◽

Vol 172 ◽

pp. 105074 ◽

Cited By ~ 6

Author(s):

V.K. Chasiotis ◽

D.A. Tzempelikos ◽

A.E. Filios ◽

K.P. Moustris

Keyword(s):

Neural Network ◽

Moisture Content ◽

Convective Drying ◽

Network Modelling ◽

Artificial Neural ◽