activity
20222024
most citedAn Explainable Regression Framework for Predicting Remaining Useful Life of Machines

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

collaborators

5 papers

physics.soc-ph2024

Social Media Informatics for Sustainable Cities and Societies: An Overview of the Applications, associated Challenges, and Potential Solutions

Jebran Khan, Kashif Ahmad, Senthil Kumar Jagatheesaperumal +2

In the modern world, our cities and societies face several technological and societal challenges, such as rapid urbanization, global warming & climate change, the digital divide, a…

cs.CL2023★ 2 cited

Document Provenance and Authentication through Authorship Classification

Muhammad Tayyab Zamir, Muhammad Asif Ayub, Jebran Khan +3

Style analysis, which is relatively a less explored topic, enables several interesting applications. For instance, it allows authors to adjust their writing style to produce a more…

cs.CL2023★ 1 cited

Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques

Muhammad Suleman, Muhammad Asif, Tayyab Zamir +4

This paper presents our solutions for the MediaEval 2022 task on DisasterMM. The task is composed of two subtasks, namely (i) Relevance Classification of Twitter Posts (RCTP), and…

cs.LG2022★ 2 cited

An Explainable Regression Framework for Predicting Remaining Useful Life of Machines

Talhat Khan, Kashif Ahmad, Jebran Khan +2

Prediction of a machine's Remaining Useful Life (RUL) is one of the key tasks in predictive maintenance. The task is treated as a regression problem where Machine Learning (ML) alg…

cs.CL2022

Social Media as an Instant Source of Feedback on Water Quality

Khubaib Ahmad, Muhammad Asif Ayub, Kashif Ahmad +3

This paper focuses on an important environmental challenge; namely, water quality by analyzing the potential of social media as an immediate source of feedback. The main goal of th…