Gotowe bibliografie tematyczne / Landuse/Landcover

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Gotowa bibliografia na temat „Landuse/Landcover”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Landuse/Landcover"

T, Magendran, and J. Kumanan C. "Remote Sensing and GIS Based Study of Land Suitability Evaluation in Coastal Domains of Pudukkottai District, Tamil Nadu, India." International Journal of Geology and Earth Sciences 2, no. 2 (2016): 25–40. https://doi.org/10.5281/zenodo.1533758.

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This paper presents an approach for land suitability evaluation model by geomorphology and landuse/landcover mapping in parts of Pudukkottai district, Tamil Nadu using the state and art of remote sensing and Geographical Information System (GIS) as a powerful tool. Remote sensing images provide useful information and make many researchers to  identify and interpret various geomorphic features/landforms and various landuse/landcover classes. Optical satellite images and SRTM - DEM were used for mapping of various geomorphic and landuse/landcover classes in this study. Various image process

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Alhassan, A., W. A. Agyare, and C. Y. Asante. "Impact of Landuse Changes on Soil Erosion and Sedimentation in the Tono Reservoir Watershed Using GeoWEPP Model." International Journal of Irrigation and Agricultural Development (IJIRAD) 1, no. 1 (2018): 106–19. http://dx.doi.org/10.47762/2017.964x.27.

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Sediment delivery from the Tono Reservoir watershed in the Upper East Region of Ghana is of major concern, necessitating the need to estimate the rate of siltation of the reservoir. This study determined the current volume of silt in the reservoir, mapped landcover changes using Landsat images and employed Water Erosion Prediction Project (WEPP) model, to simulate hydrology and sediment dynamics for three landuse/landcover scenarios. The Geo-spatial interface for WEPP (GeoWEPP) was used to characterize upland overland flow elements based on their landuse/landcover, soil, and slope profiles. Us

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Ampofo, Steve, Mercy Ama Boadi Manu, Boateng Ampadu, and Melvin-Guy Adonadaga. "Impact of Landuse and Landcover Changes on Hydrological Components of the Oti Sub-Basin of Ghana." Ghana Journal of Science, Technology and Development 8, no. 2 (2022): 60–70. http://dx.doi.org/10.47881/375.967x.

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Landuse and landcover have over the decades been undergoing changes as a result of natural and human activities. These changes for a given area can be attributed to fluctuations in the infiltration ability of the land, leading to changes in the hydrological cycle of a given catchment area. This research assessed some of the impacts that landuse and landcover changes coupled with climate variations have on the hydrological components of the Oti sub-basin of Ghana using the Soil Water Assessment Tool (SWAT) with ArcGIS® interface for the development of models from which conclusions were drawn. T

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Onyedikachim Ihuoma Njoku and Joel Izuchukwu Igbokwe. "Evaluation of the socio-economic impact of landcover / landuse changes in Owerri Municipal, Imo State, Nigeria using remote sensing and geographic information systems." World Journal of Advanced Research and Reviews 12, no. 3 (2021): 175–80. http://dx.doi.org/10.30574/wjarr.2021.12.3.0665.

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The study aimed at evaluating the socio-economic impact of landcover / landuse changes in Owerri Municipal, Imo State, Nigeria using remote sensing and GIS with a view to improving the quality of life and social development through its objectives; to identify the changes of the landcover and landuse pattern of the study area for a period of 30 years i.e. 1987 to 2002 to 2017, to evaluate the socio-economic and environmental impact of these changes and to predict future impact of landcover / landuse changes in the study area. The methodology adopted in this study involved sourcing of satellite

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Onyedikachim, Ihuoma Njoku, and Izuchukwu Igbokwe Joel. "Evaluation of the socio-economic impact of landcover / landuse changes in Owerri Municipal, Imo State, Nigeria using remote sensing and geographic information systems." World Journal of Advanced Research and Reviews 12, no. 3 (2021): 175–80. https://doi.org/10.5281/zenodo.5804862.

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Singh, A. M., A. S. Chauhan, and D. Aggarwal. "Geospatial Techniques for Efficient Conservation and Management of Surface Water for Irrigation in Joganbedi Village, Khargone District, Madhya Pradesh, India." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 405–9. http://dx.doi.org/10.5194/isprsarchives-xl-8-405-2014.

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The study aimed at developing improved methods based on remote sensing and GIS techniques to increase cultivated area under irrigation. Landuse / landcover mapping was considered as the key component to prioritize locations for constructing appropriate recharge structures. Joganbedi scheme was proposed for this study. Joganbedi is situated 13 km. from Khargone, district Khargone, Madhya Pradesh, India. Command area of the proposed scheme lies in Beda sub-basin which is a tributary of the Narmada River. This area is of hard rock terrain and is occupied by the Deccan basalt. The main objective o

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Pratama, B. B., D. Pratiwi, and M. A. Qirom. "Monitoring and identifying forest burnt area using NBR Landsat and Landuse in Central Kalimantan." IOP Conference Series: Earth and Environmental Science 1241, no. 1 (2023): 012107. http://dx.doi.org/10.1088/1755-1315/1241/1/012107.

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Abstract Forest fires are one of the phenomena that occur in peatlands in Indonesia. This incident is due to changes in landuse in peatland and occurs repeatedly over a certain period of time. This study aims to monitor and identify burnt areas and landuse changes in the Kahayan River and Sebangau Peat Hydrological Unit (PHU) Central Kalimantan. The analysis was carried out on the Landsat imagery data series and landcover data from Ministry of Environment and Forestry Indonesia from 2014-2019. Analysis conducted with identifying burnt area using the Normalized Burn Ratio (NBR) and intersected

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Olojede O. A., Igbokwe J. I., Oliha A. O., and Ojanikele W. A. "Mapping and Modelling of Urban Landscape of Osogbo Metropolis, Osun State Nigeria, Using Artificial Neural Network." Journal of Engineering Research and Reports 25, no. 11 (2023): 88–98. http://dx.doi.org/10.9734/jerr/2023/v25i111024.

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Continuous Geospatial studies of the transitions in Landuse and landcover are very important especially as it relates to baseline assessment as an approach for advising in policy formulations concerning the natural resources sector. This study aimed at mapping and modeling the urban landscape of Osogbo metropolis, Osun state Nigeria, using an artificial neural network with the view of providing a framework for sustainable development and as well as generating data on Landuse and landcover change transitions and maps for planning purposes. Its objectives are to; model and analyze Landuse and la

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Yager, Gabriel ORTYOM. "Dynamics of landuse/landcover and its implication on fauna species habituation in Mbaav 1 forest reserve, Nigeria." Agriculture and Forestry Journal 4, no. 2 (2020): 112–20. https://doi.org/10.5281/zenodo.4310980.

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The study utilized Landsat imageries of 1985 and 2000 (Landsat Thematic Mapper (TM)), 2010 (Landsat Enhanced Thematic Mapper plus (ETM+)) and 2020 (Landsat Operational Land Imager (OLI)) to examine the trends in landuse/landcover dynamics in Mbaav 1 Forest Reserve. Percentage changes in landuse/landcover types for the years were determined. The analysis indicates that dense forest area which covers 1.50 km2 at 86.93% of the total area of the forest in 1985 has been converted to other landuse. In the year 2020 virtually most of the dense forest area has been transformed owning to rap

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Köhl, Michael, and Katja Oehmichen. "Zur Verwendung von Landschaftsmasszahlen bei Wald- und Landschaftsinventuren: Überblick und Kritik | The application of landscape indices in forest and landscape inventories: review and critique." Schweizerische Zeitschrift fur Forstwesen 154, no. 1 (2003): 8–16. http://dx.doi.org/10.3188/szf.2003.0008.

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Landscape indices have been developed as a mean of describing the spatial structure of landscapes. This paper presents an overview of the concept and the approaches of the most commonly used landscape indices, which are mainly applied to spatial data in raster format. In order to describe the spatial diversity of a landscape, indices can be calculated as moving averages for sections of the landscape. This can be carried out using two concepts: geometric windows make use of fixed sections with low resolution, while geographic windows adapt the window size according to landcover or landuse class

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Rozprawy doktorskie na temat "Landuse/Landcover"

SOHAIL, ARFAN. "Mapping Landcover/Landuse and Coastline Change in the Eastern Mekong Delta (Viet Nam) from 1989 to 2002 using Remote Sensing." Thesis, KTH, Samhällsplanering och miljö, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-104189.

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There has been rapid change in the landcover/landuse in the Mekong delta, Viet Nam. The landcover/landuse has changed very fast due to intense population pressure, agriculture/aquaculture farming and timber collection in the coastal areas of the delta. The changing landuse pattern in the coastal areas of the delta is threatened to be flooded by sea level rise; sea level is expected to rise 33 cm until 2050; 45 cm until 2070 and 1 m until 2100. The coastline along the eastern Mekong delta has never been static, but the loss of mangrove forests along the coast has intensified coastline change. T

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Biro, Turk Khalid Guma. "Geovisualisation of Multi-Temporal Satellite Data for Landuse/Landcover Change Analysis and its Impacts on Soil Properties in Gadarif Region, Sudan." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-83390.

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Several decades of intensive dryland-farming in the Gadarif Region, located in the Eastern part of Sudan, has led to rapid landuse/landcover (LULC) changes mainly due to agricultural expansion, government policies and environmental calamities such as drought. The study area represents part of the African Sahel. The fundamental goal of the thesis was to assess land degradation and the impact of agriculture expansion on land cover, soil and crops production. To analyse and to monitor the LULC changes, multi-temporal Landsat data of the years 1979, 1989 and 1999 and ASTER data of the year 2009 co

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Cartwright, John Harrison. "IDENTIFYING POTENTIAL SEDIMENTATION SOURCES THROUGH A REMOTE SENSING AND GIS ANALYSIS OF LANDUSE/ LANDCOVER FOR THE WEEKS BAY WATERSHED, BALDWIN COUNTY, ALABAMA." MSSTATE, 2002. http://sun.library.msstate.edu/ETD-db/theses/available/etd-07112002-150327/.

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The Weeks Bay watershed in Baldwin County, Alabama has experienced rapid changes in landuse/ landcover (LULC) from 1990 to 2000. These changes have resulted in increased upland erosion and higher concentrations of suspended sediment within the watershed. For this research project a spatial model was developed to identify potential sources of sediment relevant to LULC and slope. Landsat satellite imagery was classified to assess LULC within the Weeks Bay watershed. The classification includes forested vegetation, herbaceous vegetation (seasonal and persistent), mixed/ transitional vegetation, u

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Rahman, Munshi. "Environmental and Social Vulnerabilities and Livelihoods of Fishing Communities of Kutubdia Island, Bangladesh." Kent State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1436457323.

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Biro, Turk Khalid Guma Verfasser], Manfred [Akademischer Betreuer] Buchroithner, Franz [Akademischer Betreuer] [Makeschin, and Volker [Akademischer Betreuer] Hochschild. "Geovisualisation of Multi-Temporal Satellite Data for Landuse/Landcover Change Analysis and its Impacts on Soil Properties in Gadarif Region, Sudan / Khalid Guma Biro Turk. Gutachter: Manfred Buchroithner ; Volker Hochschild ; Franz Makeschin. Betreuer: Manfred Buchroithner ; Franz Makeschin." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://d-nb.info/1068442387/34.

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Gathongo, Njoroge Ikonye. "Validating Local Interpretations of Land Cover Changes at Mt. Kasigau, Kenya." Miami University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=miami1344617761.

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Hsiao, Lin-Hsuan, and 蕭淩瑄. "Assessing Uncertainties in Landuse/Landcover Classification using Remote Sensing Images." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/50079900175914256053.

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碩士 國立臺灣大學 生物環境系統工程學研究所 101 Multispectral remote sensing images are widely used for landuse/landcover (LULC) classification. Performance of such classification practices is normally evaluated through the confusion matrix which summarizes the producer’s and use’s accuracies and the overall accuracy. However, the confusion matrix is based on the classification results of a set of multi-class training data. As a result, the classification accuracies are heavily dependent on the representativeness of the training data set. It is imperative for practitioners to assess the uncertainties o

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Chung, Chien-Wen, and 鍾建文. "Landuse/Landcover Change Detection Using Two-stage Remote Sensing Image Classification." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/72124088013832576852.

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碩士 國立臺灣大學 生物環境系統工程學研究所 94 Remote sensing images and technologies have been widely applied to environmental monitoring, in particular landuse/landcover (LULC) classification and change detection. The accuracy of LULC classification depends on the spatial resolution of remote sensing images, features (spectral or textural) adopted for classification, the desired landcover classes, and also the classification method. In cases where complex landuses are present and detailed LULC classes are desired, it is often difficult to achieve high level of classification accuracy. In this study,

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Ling, Jia-Yi, and 凌家宜. "Study on the Uncertainty in Landuse/Landcover Classification Using Remote Sensing Images." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/45a7mz.

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碩士 國立臺灣大學 生物環境系統工程學研究所 106 Land-use/land-cover (LULC) classification using remote sensing images have been widely applied for earth surface monitoring, environmental change detection, water resources management, etc. All supervised classification methods require using a set of training data to establish class-assignment rules for pixels of unknown classes. A confusion matrix (or error matrix) which summarizes classification results of the training data or an independent set of reference data is then used to assess the classification accuracies of individual classes. However, classi

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Yogendra, B. E. "Modelling Hydrology of Upper Cauvery Basin Considering Changes in Climate and Landuse/Landcover." Thesis, 2016. https://etd.iisc.ac.in/handle/2005/4714.

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In the recent times, changes are noted in hydrological processes (e.g., surface runoff, lateral flow, infiltration, return flow, evapotranspiration, soil moisture and streamflow) in different river basins of the world due to the impact of climate and land-use/land-cover (LULC) changes. In upper Cauvery river basin considerable changes has been noticed in the cropping pattern over the past few decades. It is also witnessed that the farmers in the region often expand plantation by encroaching into forest and grassland. In this context, there is a need to assess the combined as well as individual

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Książki na temat "Landuse/Landcover"

Mahiber, MELCA, ed. Forests of Sheka: Multidisciplinary case studies on impacts of landuse/landcover changes, southwest Ethiopia. MELCA Mahiber, 2007.

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Akotsi, E. F. N. Mapping landuse/landcover changes in Kakamega forest (1975-2005): An integrated conservation project, ICIPE/DRSRS collaboration. Department of Resource Surveys and Remote Sensing (Drsrs), Ministry of Environment and Natural Resources, 2005.

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Landuse And Landcover Change Local Processes And Global Impacts. Springer, 2010.

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Części książek na temat "Landuse/Landcover"

Shwetha, C., H. S. Thejas, R. N. Medhesh, A. V. N. Nishanth, Y. R. Suresh, and C. Chandre Gowda. "Landuse Landcover Modeling for Urban Area of Bengaluru Region." In Recent Advances in Civil Engineering for Sustainable Communities. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0072-1_20.

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Kathwas, Amar Kumar, Rakesh Saur, and V. S. Rathore. "Impact of Flash Flood on Landuse and Landcover Dynamics and Erosional Pattern of Jiadhal River Basin, Assam, India." In Intelligent Data Engineering and Analytics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6624-7_39.

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Zaz, Sumira Nazir, and Shakil Ahmad Romshoo. "Impact of Landuse/Landcover (LULC) Changes on the Hydrology of the Upper Indus Basin (Jhelum Basin) Under Changing Climate." In Springer Climate. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85126-1_2.

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Hajra, Rituparna, Amit Ghosh, and Tuhin Ghosh. "Comparative Assessment of Morphological and Landuse/Landcover Change Pattern of Sagar, Ghoramara, and Mousani Island of Indian Sundarban Delta Through Remote Sensing." In Environment and Earth Observation. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46010-9_11.

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Papathimiu, Sonila, Albana Kosovrasti, Fatjon Bebja, and Esmeralda Laci. "Landcover and Landuse Changes of Albanian National Parks and Their Main Management Challenges (Case Studies: NPs of Albanian Alps, Tomorri Mountain and Divjaka-Karavasta)." In Navigating the Technological Tide: The Evolution and Challenges of Business Model Innovation. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-67431-0_24.

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Suresh D., Kiran Yarrakula, Venkateswarlu B., Biswajita Mohanty, and Vijayakumar Manupati. "Risk Mapping Analysis With Geographic Information Systems for Landslides Using Supply Chain." In Emerging Applications in Supply Chains for Sustainable Business Development. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5424-0.ch008.

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Among the various natural disasters, landslides are considered to be one of the serious geological hazards that are triggered due to intensive rainfall, earthquakes, deforestation, mining, floods, etc. Landslides result in devastating impacts causes thousands of deaths and injuries, damage to properties. The changing pattern of landslide hazard zones every year forces the need to safeguard people and properties in the respective areas. Weighted linear combination (WLC) is used to prepare the landslide hazard zonation map in the Nilgiris district of Tamil Nadu, India. Nine layers, namely slope,

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Maity, Ayan Kumar, and Souvik Das. "ANALYSIS OF LANDUSE LANDCOVER WITH SPATIO-TEMPORAL RELATION TO THE SOIL CHARACTERISTICS AT AMDABAD MOUZA, CHINSURAH, HOOGHLY." In Futuristic Trends in Social Sciences Volume 3 Book 26. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3baso26p3ch1.

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Soil beings the seat of all biotic properties supports plants life and hence the agricultural activities. So, the study of soil is a prime necessary from the point of view of agriculture. The composition and fertility of soil vis-à-vis crop production varies from place to place. Amdabad Mouza, where priority of arable agriculture is gradually decreasing than orchard farming due to various physicals and non-physical factors. Soil is the basic determinant of landuse of any region. It is the natural body on which the plant grows. It is also a most important natural resource widely used by man for

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Prakasam, C., Aravinth R., Varinder S. Kanwar, and B. Nagarajan. "Comparative Evaluation of Various Statistical Models and Its Accuracy for Landslide Risk Mapping: A Case Study on Part of Himalayan Region, India." In Slope Engineering [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94347.

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Among other natural hazards, Landslides are the most prominent and frequently occurring natural disaster in the state of Himachal Pradesh with higher socio-economical losses. About 0.42 million sq.kms of area are prone to landslide activities in our country that is excluding the snow covered areas. The current research focuses on estimating the landslide risk zones of the Shimla Tehsil, Himachal Pradesh using various statistical models. Landslide contributing factors as such Landuse Landcover, Elevation, Slope, Lithology, Soil, Geology and Geomorphology has been used to assess the Landslide ri

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Lioubimtseva, E. "Possible changes in the carbon budget of arid and semi-arid Central Asia inferred from landuse/landcover analyses during 1981 to 2001." In Climate Change and Terrestrial Carbon Sequestration in Central Asia. Taylor & Francis, 2007. http://dx.doi.org/10.1201/9780203932698.ch32.

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"Possible changes in the carbon budget of arid and semi-arid Central Asia inferred from landuse/landcover analyses during 1981 to 2001." In Climate Change and Terrestrial Carbon Sequestration in Central Asia. CRC Press, 2007. http://dx.doi.org/10.1201/9780203932698-44.

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Streszczenia konferencji na temat "Landuse/Landcover"

Stoyanova, Silviya, Valeriya Yordanova, and Vesela Stoyanova. "ASSESSMENT OF PEAK FLOW VARIATION DUE TO LANDUSE CHANGE: VIT RIVER CASE STUDY." In 23rd SGEM International Multidisciplinary Scientific GeoConference 2023. STEF92 Technology, 2023. http://dx.doi.org/10.5593/sgem2023/3.1/s12.06.

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The results of many research projects and studies report that landuse/ landcover change (LULCC) is a major driver of the changes in the hydrological processes within a watershed. Landuse induced landcover changes, e.g., urbanization, deforestation, have a direct impact on the hydrological regime of watersheds thus increasing their vulnerability to extreme hydrological events. In this research the Soil and Water Assessment Tool (SWAT) was used to study the landuse/landcover change impact on the hydrological dynamics within a watershed with respect to peak flow. The physically-based, semi-distri

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Raj, Athira, and N. Vijayan. "Analysis of landuse landcover changes of Kazhakuttam block based on GIS." In 2012 International Conference on Green Technologies (ICGT). IEEE, 2012. http://dx.doi.org/10.1109/icgt.2012.6477962.

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Sewada, Ranu, and Hemlata Goyal. "Landuse Landcover Change Detection Using Geospatial Semantic Segmentation U-Net-ResNet Architecture." In 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC). IEEE, 2023. http://dx.doi.org/10.1109/r10-htc57504.2023.10461857.

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Sewada, Ranu, and Hemlata Goyal. "Analysis of geospatial deep convolutional semantic segmentation networks for landuse landcover feature mapping." In ANNUAL SYMPOSIUM ON APPLIED AND INNOVATION TECHNOLOGICAL ENVIRONMENT 2023 (ASAITE2023): Smart Technology based on Revolution Industry 4.0 and Society 5.0. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0228944.

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Cui, Linli, Jun Shi, and Zhiqiang Gao. "Research on the role of several feature extraction methods in the landcover/landuse classification." In SPIE Optics + Photonics, edited by Victor L. Gamiz, Paul S. Idell, and Marija S. Strojnik. SPIE, 2006. http://dx.doi.org/10.1117/12.677847.

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Panchal, V. K., P. C. Saxena, B. Deshmukh, and Shaveta. "Resolving Spectrally Similar Landuse/Landcover Class Conflict in Remote Sensing Images Using Rough Sets." In 2006 International Conference on Hybrid Information Technology. IEEE, 2006. http://dx.doi.org/10.1109/ichit.2006.253647.

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Khan, Farhan Rafique, Bhumika Das, and R. K. Mishra. "Use of GIS in Decision Making for Geotechnical Investigation." In International Web Conference in Civil Engineering for a Sustainable Planet. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.112.11.

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Geological Information System (GIS) is a tool which is used in different Areas to subside the human effort. The GIS was earlier developed to maintain the geological data of earth, but during the time GIS is used in different areas for research. The purpose of the study is to utilize GIS technique in the field of geotechnical engineering in different work like preliminary survey, availability of digitize Soil data of location, topographic survey. Due to availability of GIS, data can easily digitize according to the geographical coordinates. The satellite imageries of Nagpur city are collected f

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Perera, Sachi, Mohamed Allali, Erik Linstead, and Hesham El-Askary. "Landuse Landcover Change Detection in the Mediterranean Region Using a Siamese Neural Network and Image Processing." In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021. http://dx.doi.org/10.1109/igarss47720.2021.9553928.

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Jatmiko, Retnadi Heru. "Application of thermal infrared band for landcover/landuse and temperature study as an indicator urban climate change in Yogyakarta." In Remote Sensing Technologies and Applications in Urban Environments, edited by Nektarios Chrysoulakis, Thilo Erbertseder, and Ying Zhang. SPIE, 2018. http://dx.doi.org/10.1117/12.2325811.

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Venkat, K. Pavan, and Vidhya Lakshmi Sivakumar. "Characterisation of Landuse / Landcover Changes and its Comparison in Vijayawada City using Artificial Neural Networks with Minimum Distance to Mean." In 2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF). IEEE, 2023. http://dx.doi.org/10.1109/iceconf57129.2023.10083912.

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