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    Weed detection based on deep learning from UAV imagery: A review by Lucía Sandoval-Pillajo, Iván García-Santillán, Marco Pusdá-Chulde, Adriana Giret

    Published 2025-12-01
    “…Likewise, the rapid development of deep learning architectures has driven CNN models such as ResNet for classification, YOLO for detection, U-Net for semantic segmentation, and Mask R-CNN for weed instance segmentation, with a tendency towards new Transformer-based and hybrid architectures. The most common metrics used to evaluate these models include precision, recall, F1-Score, and mAP.…”
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  3. 663
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    Wetland dynamics in northern Australia’s tropical savanna (1987–2024): a multi-index Google Earth Engine approach for long-term monitoring by Kaline de Mello, Edimilson Rodrigues dos Santos Junior, Erica A. Garcia, Anna E. Richards, Peter Scott Waugh, Jessica Huxley, Simon Linke

    Published 2025-09-01
    “…This study developed a wetland mapping framework tailored to the Australian tropical savanna, mapping change to wetlands in the Adelaide River Catchment from 1987 to 2024. …”
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  5. 665

    Research trends in digital marketing and data-driven marketing: A bibliometric analysis by Tuğçe Acar Kara, Ferhat Orman

    Published 2025-01-01
    “…We have identified journals with most publications on digital marketing (Sustainability) and data-driven marketing (Journal of Business Research); established the countries publishing most studies on DM (USA) and DDM (China); and revealed the most frequently used keywords in DM (‘impact’) and DDM (‘management’). …”
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  6. 666

    Near Real-Time Flood Monitoring Using Multi-Sensor Optical Imagery and Machine Learning by GEE: An Automatic Feature-Based Multi-Class Classification Approach by Hadi Farhadi, Hamid Ebadi, Abbas Kiani, Ali Asgary

    Published 2024-11-01
    “…Among the most widely used are machine learning algorithms and spectral indices, though these methods often face challenges, particularly in threshold selection for spectral indices and the sampling process for supervised classification. …”
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  7. 667

    Geographical Information System-Based Site Selection in North Kordofan, Sudan, Using In Situ Rainwater Harvesting Techniques by Ibrahim Ahmed, Elena Bresci, Khaled D. Alotaibi, Abdelmalik M. Abdelmalik, Eljaily M. Ahmed, Majed-Burki R. Almutairi

    Published 2024-11-01
    “…Weights were assigned to the criteria based on their relative importance for RWH using the analytical hierarchy process (AHP). Using QGIS 2.6.1 and ArcGIS 10.2.2 software, all criterion maps and suitability maps were prepared. …”
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  8. 668

    A geographic information system and analytic hierarchy process drought risk analysis approach in arid south-western Zimbabwe: Prospects for informed resilience building by Oshneck Mupepi, Mark Makomborero Matsa, John Hove

    Published 2024-12-01
    “…Climate change is increasing the vulnerability of communities to drought, with rural communities in developing countries being affected the most. The study assessed drought vulnerability in south western Zimbabwe based on the Analytic Hierarchy Process (AHP) supported by Geographic Information System (GIS) and remote sensing techniques. …”
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  9. 669

    Site Suitability Analysis for Future Urban Development Using Analytic Hierarchy Process (AHP) Model: A Case Study in Hisar City, Haryana (India) by Sharma Manju, Kumar Vipin

    Published 2025-09-01
    “…This study focuses on site suitability analysis for urban development in Hisar City, India, using the analytical hierarchy process (AHP) model. It aims to identify the most suitable sites for future urban development based on various criteria, such as land use/land cover parameters, proximity to road networks, soil salinity, and the depth and quality of ground water. …”
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    Estimate the efficiency of the concept virtual water and geospatial techniques in determining the water consumption bill for irrigated agriculture in the Azraq basin by Rasha AbuRukaba

    Published 2020-10-01
    “…The study aims to use Geospatial Techniques to estimate water consumption in the irrigated agriculture of Azraq Basin in Water year 2016-2017 Through concept virtual water, based on Satellite data from the Landsat 8 satellite Image for August, 2017 and climate data, through the use of the necessary cartographic standards to correct Satellite data, process it and analyze it to produce Digital maps to express the true reality of irrigated agriculture in Azraq Basin in terms of its spatial distribution, types and areas. …”
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    Improving the perception of urban space for women by emphasizing the use of new technologies from the perspective of future studies by Fatemeh Khodadadi Aghghaleh, Mohammadreza Akbarian

    Published 2021-05-01
    “…Due to new technologies, urban spaces have taken on a different process of understanding and experience. The perception of space is the first step in establishing a person's relationship with the environment, and this recognition causes the formation of a mental image and, as a result, the creation of a cognitive map of the space. …”
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    Collecting perspectives on project prioritisation process in the EU co-funded multinational partnership for the assessment of risks from chemicals (PARC) through focus group discus... by Katya Manuella Permana, Maria Tannous, Hanna Mouaziz, Pascal Sanders, Nathalie Bonvallot, Christophe Rousselle

    Published 2025-01-01
    “…It consists of nine work packages (WP) involving more than 200 participating organisations from 29 countries. PARC is currently mapping the most relevant needs in the field of European chemical RA to steer PARC’s future activities in the coming years. …”
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    Cutting-edge approaches to specific energy prediction in TBM disc cutters: Integrating COSSA-RF model with three interpretative techniques by Jian Zhou, Zijian Liu, Chuanqi Li, Kun Du, Haiqing Yang

    Published 2025-06-01
    “…In particular, the Chebyshev map-SSA-RF (CHSSA-RF) model achieves the most satisfactory prediction accuracy among all models, resulting in the highest coefficient of determination R2 and dynamic variance-weighted global performance indicator values (0.9756 and 0.0814) and the lowest values of root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) (6.4742, 4.0003, and 20.41%). …”
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