2 citations · 5 across the 5 of their papers we have counts for
5 papers
FABLE: A Localized, Targeted Adversarial Attack on Weather Forecasting Models
Yue Deng, Asadullah Hill Galib, Xin Lan +3
Deep learning-based weather forecasting (DLWF) models have recently demonstrated significant performance gains over gold-standard physics-based simulation tools. However, these mod…
A Global Analysis of Pre-Earthquake Ionospheric Anomalies
Luke Cullen, Andy W Smith, Asadullah H Galib +5
Local ionospheric density anomalies have been reported in the days prior to major earthquakes. This global study statistically investigates whether consistent ionospheric anomalies…
On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense
Asadullah Hill Galib, Bidhan Bashyal
Under adversarial attacks, time series regression and classification are vulnerable. Adversarial defense, on the other hand, can make the models more resilient. It is important to…
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data
Asadullah Hill Galib, Andrew McDonald, Tyler Wilson +2
Accurate forecasting of extreme values in time series is critical due to the significant impact of extreme events on human and natural systems. This paper presents DeepExtrema, a n…
The Influences of Pre-birth Factors in Early Assessment of Child Mortality using Machine Learning Techniques
Asadullah Hill Galib, Nadia Nahar, B M Mainul Hossain
Analysis of child mortality is crucial as it pertains to the policy and programs of a country. The early assessment of patterns and trends in causes of child mortality help decisio…