4 citations · 13 across the 10 of their papers we have counts for
10 papers
Stylometry Analysis of Human and Machine Text for Academic Integrity
Hezam Albaqami, Muhammad Asif Ayub, Nasir Ahmad +5
This work addresses critical challenges to academic integrity, including plagiarism, fabrication, and verification of authorship of educational content, by proposing a Natural Lang…
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…
A Named Entity Recognition and Topic Modeling-based Solution for Locating and Better Assessment of Natural Disasters in Social Media
Ayaz Mehmood, Muhammad Tayyab Zamir, Muhammad Asif Ayub +2
Over the last decade, similar to other application domains, social media content has been proven very effective in disaster informatics. However, due to the unstructured nature of…
Social Media and Artificial Intelligence for Sustainable Cities and Societies: A Water Quality Analysis Use-case
Muhammad Asif Auyb, Muhammad Tayyab Zamir, Imran Khan +3
This paper focuses on a very important societal challenge of water quality analysis. Being one of the key factors in the economic and social development of society, the provision o…
Stylometry Analysis of Multi-authored Documents for Authorship and Author Style Change Detection
Muhammad Tayyab Zamir, Muhammad Asif Ayub, Asma Gul +2
In recent years, the increasing use of Artificial Intelligence based text generation tools has posed new challenges in document provenance, authentication, and authorship detection…
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…
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…
Relevance Classification of Flood-related Twitter Posts via Multiple Transformers
Wisal Mukhtiar, Waliiya Rizwan, Aneela Habib +3
In recent years, social media has been widely explored as a potential source of communication and information in disasters and emergency situations. Several interesting works and c…
A Late Fusion Framework with Multiple Optimization Methods for Media Interestingness
Maria Shoukat, Khubaib Ahmad, Naina Said +3
The recent advancement in Multimedia Analytical, Computer Vision (CV), and Artificial Intelligence (AI) algorithms resulted in several interesting tools allowing an automatic analy…
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…