[HTML][HTML] Advances in smart environment monitoring systems using IoT and sensors

SL Ullo, GR Sinha - Sensors, 2020‏ - mdpi.com
Air quality, water pollution, and radiation pollution are major factors that pose genuine
challenges in the environment. Suitable monitoring is necessary so that the world can …

The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook

MA Hariri-Ardebili, G Mahdavi, LK Nuss… - Engineering Applications of …, 2023‏ - Elsevier
This narrative review paper explores the diverse applications of artificial intelligence (AI) in
the field of dam engineering. Authored by research engineers specializing in civil …

[HTML][HTML] Advances in IoT and smart sensors for remote sensing and agriculture applications

SL Ullo, GR Sinha - Remote Sensing, 2021‏ - mdpi.com
Modern sensors find their wide usage in a variety of applications such as robotics,
navigation, automation, remote sensing, underwater imaging, etc. and in recent years the …

A new mask R-CNN-based method for improved landslide detection

SL Ullo, A Mohan, A Sebastianelli… - IEEE Journal of …, 2021‏ - ieeexplore.ieee.org
This article presents a novel method of landslide detection by exploiting the Mask R-CNN
capability of identifying an object layout by using a pixel-based segmentation, along with …

Risk assessment for tailings dams in Brumadinho of Brazil using InSAR time series approach

Z Du, L Ge, AHM Ng, Q Zhu, FG Horgan… - Science of The Total …, 2020‏ - Elsevier
Tailings dams are usually ponds bounded by valleys or surrounding topography to store
mining or other chemical industrial waste. On 25 January 2019, the collapse of a tailings …

[HTML][HTML] InSAR as a tool for monitoring hydropower projects: A review

J Aswathi, RBB Kumar, T Oommen, EH Bouali… - Energy …, 2022‏ - Elsevier
This paper provides a review of using Interferometric Synthetic Aperture Radar (InSAR), a
microwave remote sensing technique, for deformation monitoring of hydroelectric power …

Landslide detection using visualization techniques for deep convolutional neural network models

K Hacıefendioğlu, G Demir, HB Başağa - Natural Hazards, 2021‏ - Springer
Landslides occur when masses of rock, earth, and other debris move down a slope. The
slope of an area is directly responsible for the magnitude of the landslide. Being able to …

Sea Level Rise, Land Subsidence, and Flood Disaster Vulnerability Assessment: A Case Study in Medan City, Indonesia

J Lumban-Gaol, JTS Sumantyo, E Tambunan… - Remote Sensing, 2024‏ - mdpi.com
Global sea level rise (SLR) has emerged as a pressing concern because of its impacts,
especially increased vulnerability of coastal urban areas flooding. This study addresses the …

[HTML][HTML] Perspectives on the structural health monitoring of bridges by synthetic aperture radar

F Biondi, P Addabbo, SL Ullo, C Clemente, D Orlando - Remote Sensing, 2020‏ - mdpi.com
Large infrastructures need continuous maintenance because of materials degradation due
to atmospheric agents and their persistent use. This problem makes it imperative to carry out …

[HTML][HTML] Monitoring of tectonic deformation in the seismic gap of the Mentawai Islands using ALOS-1 and ALOS-2

P Razi, JTS Sumantyo, MY Chua, D Perissin… - Remote Sensing …, 2023‏ - Elsevier
Ever since the last occurrence of a significant earthquake in the Mentawai megathrust zone
in 2000, no significant earthquake events have been recorded, which, according to the …