activity
20232026
most citedMulti Class Depression Detection Through Tweets using Artificial Intelligence

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

physics.ao-ph2026

Selection of CMIP6 Models for Regional Precipitation Projection and Climate Change Assessment in the Jhelum and Chenab River Basins

Saad Ahmed Jamal, Ammara Nusrat, Muhammad Azmat +1

Effective water resource management depends on accurate projections of flows in water channels. For projected climate data, use of different General Circulation Models (GCM) simula…

cs.CL2025

Essential-Web v1.0: 24T tokens of organized web data

Essential AI, :, Andrew Hojel +22

Data plays the most prominent role in how language models acquire skills and knowledge. The lack of massive, well-organized pre-training datasets results in costly and inaccessible…

math.NA2025

Statistical data analysis for Tourism in Poland in R Programming Environment

Saad Ahmed Jamal

This study utilises the R programming language for statistical data analysis to understand Tourism dynamics in Poland. It focuses on methods for data visualisation, multivariate st…

cs.CL2024★ 3 cited

Multi Class Depression Detection Through Tweets using Artificial Intelligence

Muhammad Osama Nusrat, Waseem Shahzad, Saad Ahmed Jamal

Depression is a significant issue nowadays. As per the World Health Organization (WHO), in 2023, over 280 million individuals are grappling with depression. This is a huge number;…

eess.SP2023

Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms

Saad Ahmed Jamal

Light Detection and Ranging (LiDAR) are fast emerging sensors in the field of Earth Observation. It is a remote sensing technology that utilizes laser beams to measure distances an…