|
1061 |
Indoor air quality pollutants predicting approach using unified labelling process-based multi-criteria decision making and machine learning techniques
Enthalten in Telecommunication systems Bd. 81, 15.10.2022, Nr. 4, date:12.2022: 591-613
|
|
|
|
1062 |
INDOOR LOCALIZATION FOR 3D MOBILE CADASTRAL MAPPING USING MACHINE LEARNING TECHNIQUES
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. VI-4/W1-2020, 2020: 159-166
|
|
|
|
1063 |
Industrial adoption of machine learning techniques for early identification of invalid bug reports
Enthalten in Empirical software engineering Bd. 29, 31.7.2024, Nr. 5, date:9.2024: 1-48
|
|
|
|
1064 |
Industrial Automation with Safety Aspects using Machine Learning Techniques
Enthalten in Safety in extreme environments Bd. 2, 6.6.2020, Nr. 2, date:7.2020: 183-188
|
|
|
|
1065 |
Influence of grey wolf optimization feature selection on gradient boosting machine learning techniques for accurate detection of liver tumor
Enthalten in SN applied sciences Bd. 5, 7.6.2023, Nr. 7, date:7.2023: 1-9
|
|
|
|
1066 |
Innovative computational techniques for DSSCs using machine learning: a review
Enthalten in Discover electronics Bd. 1, 23.8.2024, Nr. 1, date:12.2024: 1-8
|
|
|
|
1067 |
Integrated hybrid machine learning techniques and multiscale modeling towards evaluating the influence of nano-material on strength of concrete
Enthalten in Multiscale and multidisciplinary modeling, experiments and design Bd. 8, 7.11.2024, Nr. 1, date:1.2025: 1-21
|
|
|
|
1068 |
Integrated smart dust monitoring and prediction system for surface mine sites using IoT and machine learning techniques
Enthalten in Scientific reports Bd. 14, 30.3.2024, Nr. 1, date:12.2024: 1-12
|
|
|
|
1069 |
Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques
Enthalten in Scientific reports Bd. 15, 4.2.2025, Nr. 1, date:12.2025: 1-21
|
|
|
|
1070 |
Integration of GIS and Machine Learning Techniques for Mapping the Landslide-Prone Areas in the State of Goa, India
Enthalten in Indian Society of Remote Sensing: Journal of the Indian Society of Remote Sensing Bd. 51, 6.6.2023, Nr. 7, date:7.2023: 1479-1491
|
|
Administration
