Refine your search


You are not logged in Show Basket
  Home     Advanced Search     Back  
Catalogue Search Results

You searched: |  Any field = machine learning models,  | 
Results: 7 found in 0.005 seconds

 
Title
Author
Publisher Edition
Shelf
At
0
Modeling and forecasting ofmonthly rainfall using mathematical modes and machine learning models : a case study in morphou,Northern Cyprus /
Near East University, 2020. QA76.87 .A45 2020 NEU Grand Library[General Collection] (1)
NEU Grand Library[Reserve Section] (1)
Available
0
Development of machine learning models for the behavioural assessment of autism spectrum disorder /
Near East University, 2021. WS350.8 .L39 2021 NEU Grand Library[General Collection] (2)
Available
0
Analysing how hydro-climatological parameters affect water level using machine learning models - Gaborone dam, Botswana /
Near East University, 2022. QA279.5 .M64 2022 NEU Grand Library[General Collection] (2)
Available
0
Predicting Solar Radiation Using Machine Learning Models in Global Horizontal Irradiance (GHI)/
Near East University, 2023. TP315 .C45 2023 NEU Grand Library[General Collection] (2)
Available
0
Effects of Geographical Parameters in Predicting the Direct Normal Irradiance of Africa Using Machine Learning Models /
Near East University, 2023. T58.8 .A33 2023 NEU Grand Library[General Collection] (2)
Available
0
Using Machine Learning Algorithms to Model Flood Disaster With Climatic Parameters :
A Case Study of Monrovia, Liberia /
Near East University, 2023. TA347 .B55 2023 NEU Grand Library[General Collection] (2)
Available
0
Comparative Analysis of Machine Learning Models in Predicting Solar Power in Solar Photovoltaic Systems /
Near East University, 2024. TK1087 .O75 2024 NEU Grand Library[General Collection] (2)
Available
Quick search
Term:
Full phrase Any word

Results 1 - 10 of 7 records.
New search | Back to the last search


NEAR EAST UNIVERSITY GRAND LIBRARY +90 (392) 223 64 64 Ext:5536. Near East Boulevard, Nicosia, TRNC
This software is developed by NEU Library and it is based on Koha OSS
conforms to MARC21 library data transfer rules.