Review on remote sensing methods for landslide detection using machine and deep learning
Landslide, one of the most critical natural hazards, is caused due to specific compositional
slope movement. In the past decades, due to inflation of urbanized area and climate change …
slope movement. In the past decades, due to inflation of urbanized area and climate change …
Deep learning for the prediction and classification of land use and land cover changes using deep convolutional neural network
J Jagannathan, C Divya - Ecological Informatics, 2021 - Elsevier
The importance of timely and accurate information about the land resources and the natural
resources increased rapidly. Due to the impact of urbanization, the we face hasty climatic …
resources increased rapidly. Due to the impact of urbanization, the we face hasty climatic …
Adjacent node based energetic association factor routing protocol in wireless sensor networks
CC Vignesh, CB Sivaparthipan, JA Daniel… - Wireless Personal …, 2021 - Springer
Currently, the mobile ad hoc networks are experiencing quicker progression since due to
their minimal cost, variance and unfussiness of the autonomous devices. These devices …
their minimal cost, variance and unfussiness of the autonomous devices. These devices …
Auxiliary use and detail optimization of computer VR technology in landscape design
P Shan, W Sun - Arabian Journal of Geosciences, 2021 - Springer
Computer VR technology has been widely used in landscape design. This paper analyzes
the auxiliary use mode and detail optimization process of this technology in landscape …
the auxiliary use mode and detail optimization process of this technology in landscape …
Deep Learning Approach for Pothole Detection-A Systematic Review
BK SB, S Guhan, M Kishore… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Potholes can cause serious damage to vehicles and pose a threat to road safety. Pothole
detection can help identify and repair hazardous potholes before they cause accidents …
detection can help identify and repair hazardous potholes before they cause accidents …
Multilabel classification of remote sensed satellite imagery
Multilabel scene classification has emerged as a critical research area in the domain of
remote sensing. Contemporary classification models primarily emphasis on a single object …
remote sensing. Contemporary classification models primarily emphasis on a single object …
Multispectral image analysis for monitoring by IoT based wireless communication using secure locations protocol and classification by deep learning techniques
Land surface data is one of the entry points for a enormous resource management and
human activity such as to monitor farming, ecology, urban management, and territories. This …
human activity such as to monitor farming, ecology, urban management, and territories. This …
Modeling of the Ecological Carrying Index of reclaimed land in coastal city: A sustainable marine ecology perspective
F Sun, C Ye - Environmental Research, 2021 - Elsevier
Abstract In recent years, Wenzhou City located on the southeast coast of China has
experienced the largest scale of land reclamation projects in China. However, the extent to …
experienced the largest scale of land reclamation projects in China. However, the extent to …
Research on edge detection and image segmentation of cabinet region based on edge computing joint image detection algorithm
H Gao, G Zhou, Y Cao, Z Luo, Z Shen… - International Journal of …, 2022 - World Scientific
Image segmentation (IE) in several disciplines of image processing and computer vision is
an essential topic. Segmentation splits a picture into the areas or items that it constitutes …
an essential topic. Segmentation splits a picture into the areas or items that it constitutes …
Real-time pothole detection using YOLOv5 algorithm: a feasible approach for intelligent transportation systems
BK SB, S Guhan, M Kishore… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Potholes are a significant concern for maintaining safe and efficient daily commutes. This
research work focuses on applying YOLO V5, a state-of-the-art deep learning model for …
research work focuses on applying YOLO V5, a state-of-the-art deep learning model for …