most citedComparative Evaluation of Weather Forecasting using Machine Learning Models

2 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.DC2026

A Configurable Heuristic for the MLCS Problem

Farhana Akter Tumpa, Rebin Silva Valan Arasu, Rajiv Gupta

Motivation: The Multiple Longest Common Subsequence (MLCS) problem for an arbitrary number of sequences is an NP-hard problem in sequence analysis. Existing exact algorithms based…

cs.DC2026

BOA: Beamwidth Online Adaptation for Filtered-ANNS on a GPU

Farhana Akter Tumpa, Rajiv Gupta

Filtered approximate nearest neighbor search, i.e. returning the top-k vectors nearest to a query vector among those satisfying one or more attribute predicates, has become a funda…

cs.LG2024

Location Agnostic Source-Free Domain Adaptive Learning to Predict Solar Power Generation

Md Shazid Islam, A S M Jahid Hasan, Md Saydur Rahman +3

The prediction of solar power generation is a challenging task due to its dependence on climatic characteristics that exhibit spatial and temporal variability. The performance of a…

cs.LG2024★ 1 cited

Location Agnostic Adaptive Rain Precipitation Prediction using Deep Learning

Md Shazid Islam, Md Saydur Rahman, Md Saad Ul Haque +3

Rain precipitation prediction is a challenging task as it depends on weather and meteorological features which vary from location to location. As a result, a prediction model that…

cs.LG2024★ 2 cited

Comparative Evaluation of Weather Forecasting using Machine Learning Models

Md Saydur Rahman, Farhana Akter Tumpa, Md Shazid Islam +3

Gaining a deeper understanding of weather and being able to predict its future conduct have always been considered important endeavors for the growth of our society. This research…