no code implementations • 1 May 2024 • Ayaz Mehmood, Muhammad Tayyab Zamir, Muhammad Asif Ayub, Nasir Ahmad, Kashif Ahmad
To fully explore the potential of social media content in disaster informatics, access to relevant content and the correct geo-location information is very critical.
no code implementations • 23 Apr 2024 • Muhammad Asif Auyb, Muhammad Tayyab Zamir, Imran Khan, Hannia Naseem, Nasir Ahmad, Kashif Ahmad
To ensure the quality of water, different methods for monitoring and assessing the water networks, such as offline and online surveys, are used.
no code implementations • 12 Jan 2024 • Muhammad Tayyab Zamir, Muhammad Asif Ayub, Asma Gul, Nasir Ahmad, Kashif Ahmad
This paper investigates three key tasks of style analysis: (i) classification of single and multi-authored documents, (ii) single change detection, which involves identifying the point where the author switches, and (iii) multiple author-switching detection in multi-authored documents.
no code implementations • 2 Mar 2023 • Muhammad Tayyab Zamir, Muhammad Asif Ayub, Jebran Khan, Muhammad Jawad Ikram, Nasir Ahmad, Kashif Ahmad
In this paper, we propose an ensemble-based text-processing framework for the classification of single and multi-authored documents, which is one of the key tasks in style analysis.
no code implementations • 1 Jan 2023 • Wisal Mukhtiar, Waliiya Rizwan, Aneela Habib, Yasir Saleem Afridi, Laiq Hasan, Kashif Ahmad
In recent years, social media has been widely explored as a potential source of communication and information in disasters and emergency situations.
no code implementations • 1 Jan 2023 • Muhammad Suleman, Muhammad Asif, Tayyab Zamir, Ayaz Mehmood, Jebran Khan, Nasir Ahmad, Kashif Ahmad
This paper presents our solutions for the MediaEval 2022 task on DisasterMM.
no code implementations • 11 Jul 2022 • Maria Shoukat, Khubaib Ahmad, Naina Said, Nasir Ahmad, Mohammed Hassanuzaman, Kashif Ahmad
The extraction of such meaningful information is a complex task and generally, the performance of individual algorithms is very low.
no code implementations • 29 Apr 2022 • Shadha Tabatabai, Ihab Mohammed, Basheer Qolomany, Abdullatif Albasser, Kashif Ahmad, Mohamed Abdallah, Ala Al-Fuqaha
The remaining cluster with surviving clients is then used for training the best FL model (i. e., remaining FL model).
no code implementations • 28 Apr 2022 • Talhat Khan, Kashif Ahmad, Jebran Khan, Imran Khan, Nasir Ahmad
The task is treated as a regression problem where Machine Learning (ML) algorithms are used to predict the RUL of machine components.
no code implementations • 9 Feb 2022 • Khubaib Ahmad, Muhammad Asif Ayub, Kashif Ahmad, Jebran Khan, Nasir Ahmad, Ala Al-Fuqaha
We also provide an evaluation of the individual models where the highest F1-score of 0. 81 is obtained with the BERT model.
no code implementations • 30 Nov 2021 • Muhammad Asif Ayub, Khubaib Ahmad, Kashif Ahmad, Nasir Ahmad, Ala Al-Fuqaha
This paper presents our contributions to the MediaEval 2021 task namely "WaterMM: Water Quality in Social Multimedia".
no code implementations • 22 Nov 2021 • Syed Zohaib Hassan, Kashif Ahmad, Michael A. Riegler, Steven Hicks, Nicola Conci, Paal Halvorsen, Ala Al-Fuqaha
The Visual Sentiment Analysis task is being offered for the first time at MediaEval.
no code implementations • 26 Oct 2021 • Izzat Alsmadi, Kashif Ahmad, Mahmoud Nazzal, Firoj Alam, Ala Al-Fuqaha, Abdallah Khreishah, Abdulelah Algosaibi
These vulnerabilities allow adversaries to launch a diversified set of adversarial attacks on these algorithms in different applications of social media text processing.
no code implementations • 2 Oct 2021 • Imran Khan, Kashif Ahmad, Namra Gul, Talhat Khan, Nasir Ahmad, Ala Al-Fuqaha
The results of the study indicate that 78%, 84%, and 78% of the model decisions on natural disasters, sports, and social events datasets, respectively, are based onevent-related objects or regions.
no code implementations • 20 Apr 2021 • Yasir Saleem Afridi, Kashif Ahmad, Laiq Hassan
To this aim, complex Data Analytics and Machine Learning (ML) techniques are being used to increase the overall efficiency of these prognostic maintenance systems.
no code implementations • 6 Apr 2021 • Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, Ala Al-Fuqaha, Mohsen Guizani
In this paper, we provide a comprehensive overview of different aspects of AI and Big Data in Industry 4. 0 with a particular focus on key applications, techniques, the concepts involved, key enabling technologies, challenges, and research perspective towards deployment of Industry 5. 0.
no code implementations • 1 Mar 2021 • Kashif Ahmad, Firoj Alam, Junaid Qadir, Basheer Qolomany, Imran Khan, Talhat Khan, Muhammad Suleman, Naina Said, Syed Zohaib Hassan, Asma Gul, Ala Al-Fuqaha
In this work, we propose a pipeline starting from manual annotation via a crowd-sourcing study and concluding on the development and training of AI models for automatic sentiment analysis of users' reviews.
no code implementations • 19 Jan 2021 • Adnan Qayyum, Kashif Ahmad, Muhammad Ahtazaz Ahsan, Ala Al-Fuqaha, Junaid Qadir
Despite significant improvements over the last few years, cloud-based healthcare applications continue to suffer from poor adoption due to their limitations in meeting stringent security, privacy, and quality of service requirements (such as low latency).
no code implementations • 8 Jan 2021 • Muhammad Usman, Kashif Ahmad, Amir Sohail, Marwa Qaraqe
In this regard, there is a need to build automatic tools to monitor the blood glucose levels of diabetics and their daily food intake.
no code implementations • 14 Dec 2020 • Kashif Ahmad, Majdi Maabreh, Mohamed Ghaly, Khalil Khan, Junaid Qadir, Ala Al-Fuqaha
In this paper, we analyze and explore key challenges including security, robustness, interpretability, and ethical (data and algorithmic) challenges to a successful deployment of AI in human-centric applications, with a particular emphasis on the convergence of these concepts/challenges.
no code implementations • 30 Nov 2020 • Abdullah Hamid, Nasrullah Shiekh, Naina Said, Kashif Ahmad, Asma Gul, Laiq Hassan, Ala Al-Fuqaha
On the binary classification, the BoW and BERT based solutions obtained an average F1-score of . 666% and . 693%, respectively.
no code implementations • 30 Nov 2020 • Firoj Alam, Zohaib Hassan, Kashif Ahmad, Asma Gul, Michael Reiglar, Nicola Conci, Ala Al-Fuqaha
The paper presents our proposed solutions for the MediaEval 2020 Flood-Related Multimedia Task, which aims to analyze and detect flooding events in multimedia content shared over Twitter.
no code implementations • 30 Nov 2020 • Naina Said, Kashif Ahmad, Asma Gul, Nasir Ahmad, Ala Al-Fuqaha
The extracted features are then used to train multiple individual classifiers whose scores are then combined in a late fusion manner achieving an F1-score of 0. 75%.
no code implementations • 5 Sep 2020 • Basheer Qolomany, Kashif Ahmad, Ala Al-Fuqaha, Junaid Qadir
Most of the research on Federated Learning (FL) has focused on analyzing global optimization, privacy, and communication, with limited attention focusing on analyzing the critical matter of performing efficient local training and inference at the edge devices.
no code implementations • 4 Sep 2020 • Syed Zohaib Hassan, Kashif Ahmad, Steven Hicks, Paal Halvorsen, Ala Al-Fuqaha, Nicola Conci, Michael Riegler
While sentiment analysis of text streams has been widely explored in literature, sentiment analysis from images and videos is relatively new.
no code implementations • 11 Jun 2020 • Mohib Ullah, Maqsood Mahmud, Habib Ullah, Kashif Ahmad, Ali Shariq Imran, Faouzi Alaya Cheikh
For multi-target tracking, target representation plays a crucial rule in performance.
no code implementations • 3 Feb 2020 • Kashif Ahmad, Syed Zohaib, Nicola Conci, Ala Al-Fuqaha
Sentiment analysis aims to extract and express a person's perception, opinions and emotions towards an entity, object, product and a service, enabling businesses to obtain feedback from the consumers.
no code implementations • 10 Oct 2019 • Syed Zohaib, Kashif Ahmad, Nicola Conci, Ala Al-Fuqaha
Social media have been widely exploited to detect and gather relevant information about opinions and events.
no code implementations • 7 Oct 2019 • Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala Al-Fuqaha
In this paper we present our methods for the MediaEval 2019 Mul-timedia Satellite Task, which is aiming to extract complementaryinformation associated with adverse events from Social Media andsatellites.
no code implementations • 27 Sep 2019 • Naina Said, Kashif Ahmad, Nicola Conci, Ala Al-Fuqaha
Disaster analysis in social media content is one of the interesting research domains having abundance of data.