Ankush Pathania

Indian Institute of Technology Mandi | भारतीय प्रौद्योगिकी संस्थान मंडी · Computer Science Programme

The Tangni landslide in Chamoli, India, has experienced several landslide incidents in the recent past. Due to the fatalities and injuries caused, it is essential to predict slope movements at this site. A recent approach to predicting slope movements is via machine-learning algorithms. In machine learning literature, recurrent neural networks (sim...

Landslides are a major societal threat, causing adverse consequences to life, economy and environment. Mitigation of the potential negative effects of landslides commonly involves deployment of challenging and costly measures. This is often the case in the development and operation of linear infrastructures such as road, pipeline and railway networ...

The problem of soil movements and associated landslides is common in the areas of Himachal Pradesh state in India due to the hilly terrain. Prediction of soil movements ahead of time may help save lives and infrastructure. Prior research has used machine learning models to predict soil movements but a comparison of different models for soil movemen...

Natural disasters such as landslides cause a lot of damage to life and property. However, less is known on how one could generate accurate alerts against landslides sufficiently ahead in time. The primary objective of this research is to develop and cross-validate a new ensemble gradient boosting algorithm for generating specific alerts about impen...

Landslide incidence is common in hilly areas. In particular, Tangni in Uttrakhand state between Pipalkoti and Joshimath has experienced a number of landslide incidents in the recent past. Thus, it is important to forecast slope-movements and associated landslide events in advance of their occurrence to avoid the associated risk. A recent approach t...

Landslides are widespread disasters in hilly regions. These disasters cause lots of injuries and deaths every year. Due to these injuries and deaths, it is imperative to monitor landslides and to warn people about impending disasters timely. It is also important to predict soil movements ahead of time so that people get enough lead time to evacuate...

Landslides are a major societal threat, causing adverse consequences to life, economy and environment. Mitigation of the potential negative effects of landslides commonly involves deployment of challenging and costly measures. This is often the case in the development and operation of linear in-frastructures such as road, pipeline, and railway netw...

Air-quality is degrading in developing countries and there is an urgent need to monitor and predict air-quality online in real-time. Although offline air-quality monitoring using hand-held devices is common, online air-quality monitoring is still expensive and uncommon, especially in developing countries. The primary objective of this paper is to p...

Air-quality is degrading in developing countries and there is an urgent need to monitor and predict air-quality online in real-time. Although offline air-quality monitoring using hand-held devices is common, online air-quality monitoring is still expensive and uncommon, especially in developing countries. The primary objective of this paper is to p...

Landslides and associated soil movements (debris-flow) are the common natural calamities in the hilly regions. In particular, Tangni in Uttrakhand state between Pipalkoti and Joshimath has experienced a number of landslides in the recent past. Prior research has used certain machine-learning (ML) algorithms to predict landslides. However, a compari...

This is a video that appeared on BBC Click covering the low-cost landslide monitoring and warning system.

Landslides and associated slope movements are common occurrences in the hilly regions. In particular, Tangni in Uttrakhand state between Pipalkoti and Joshimath has experienced a number of landslides in the recent past. Prior research has used certain moving average and machine-learning (ML) algorithms to predict slope movements. However, a compari...

Landslide disasters cause massive damages in hilly areas around the world. Thus, improving understanding of landslides among people is critical. Prior research has investigated the effectiveness of computer games in causing learning from feedback. However, an evaluation of the effectiveness of computer games for landslide education has been less ex...

Among different natural disasters, landslides are widespread in hilly areas. For landslide monitoring, one needs to collect data via weather stations about the prevailing weather and soil properties at remote locations that are prone to landslides. Due to the non-availability of grid-power, one may need to depend upon large-sized solar panels and b...

Landslides plague the Himalayan region, and landslide occurrence is widespread in hilly areas. Thus, it is important to predict soil movements and associated landslide events in advance of their occurrence. A recent approach to predicting soil movements is to use machine-learning techniques. In machine-learning literature, both moving-average-based...