Sentinel-2 data for land cover/use mapping: A review
The advancement in satellite remote sensing technology has revolutionised the approaches
to monitoring the Earth's surface. The development of the Copernicus Programme by the …
to monitoring the Earth's surface. The development of the Copernicus Programme by the …
A state-of-the-art review on machine learning-based multiscale modeling, simulation, homogenization and design of materials
Multiscale simulation and homogenization of materials have become the major
computational technology as well as engineering tools in material modeling and material …
computational technology as well as engineering tools in material modeling and material …
Optimized 3D bioprinting technology based on machine learning: A review of recent trends and advances
The need for organ transplants has risen, but the number of available organ donations for
transplants has stagnated worldwide. Regenerative medicine has been developed to make …
transplants has stagnated worldwide. Regenerative medicine has been developed to make …
Image-based artificial intelligence in wound assessment: a systematic review
Significance: Accurately predicting wound healing trajectories is difficult for wound care
clinicians due to the complex and dynamic processes involved in wound healing. Wound …
clinicians due to the complex and dynamic processes involved in wound healing. Wound …
A review of recent advances and applications of machine learning in tribology
In tribology, a considerable number of computational and experimental approaches to
understand the interfacial characteristics of material surfaces in motion and tribological …
understand the interfacial characteristics of material surfaces in motion and tribological …
[HTML][HTML] Application status and challenges of machine vision in plant factory—A review
Z Tian, W Ma, Q Yang, F Duan - Information Processing in Agriculture, 2022 - Elsevier
Plant factories have a great potential for mitigating the contradiction between the world's
growing population and food scarcity. During the process of its automatic production …
growing population and food scarcity. During the process of its automatic production …
Evaluation of machine learning methods and multi-source remote sensing data combinations to construct forest above-ground biomass models
Rapid and accurate estimation of forest biomass are essential to drive sustainable
management of forests. Field-based measurements of forest above-ground biomass (AGB) …
management of forests. Field-based measurements of forest above-ground biomass (AGB) …
Urban growth dynamics and changing land-use land-cover of megacity Kolkata and its environs
J Mandal, N Ghosh, A Mukhopadhyay - Journal of the Indian Society of …, 2019 - Springer
Spatio-temporal land-use land-cover changes have a long-term impact on urban
environments. The present study is based on land-use land-cover changes and urban …
environments. The present study is based on land-use land-cover changes and urban …
A comprehensive evaluation of OPTICS, GMM and K-means clustering methodologies for geochemical anomaly detection connected with sample catchment basins
The process of data-driven clustering to uncover geochemical anomalies linked to sample
catchment basins (SCBs) includes a comprehensive framework to discern areas exhibiting …
catchment basins (SCBs) includes a comprehensive framework to discern areas exhibiting …
Semi-automatic classification for rapid delineation of the geohazard-prone areas using Sentinel-2 satellite imagery
The study of land use land cover has become increasingly significant with the availability of
remote sensing data. The main objective of this study is to delineate geohazard-prone areas …
remote sensing data. The main objective of this study is to delineate geohazard-prone areas …