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03/02/2023
Document Provenance and Authentication through Authorship Classification
Style analysis, which is relatively a less explored topic, enables sever...
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01/01/2023
Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques
This paper presents our solutions for the MediaEval 2022 task on Disaste...
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01/01/2023
Relevance Classification of Flood-related Twitter Posts via Multiple Transformers
In recent years, social media has been widely explored as a potential so...
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07/11/2022
A Late Fusion Framework with Multiple Optimization Methods for Media Interestingness
The recent advancement in Multimedia Analytical, Computer Vision (CV), a...
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06/27/2022
Advancing Education Through Extended Reality and Internet of Everything Enabled Metaverses: Applications, Challenges, and Open Issues
Metaverse has evolved as one of the popular research agendas that let th...
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04/29/2022
Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data
Federated Learning (FL) is one of the hot research topics, and it utiliz...
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04/28/2022
An Explainable Regression Framework for Predicting Remaining Useful Life of Machines
Prediction of a machine's Remaining Useful Life (RUL) is one of the key ...
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02/09/2022
Merit-based Fusion of NLP Techniques for Instant Feedback on Water Quality from Twitter Text
This paper focuses on an important environmental challenge; namely, wate...
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11/22/2021
Visual Sentiment Analysis: A Natural DisasterUse-case Task at MediaEval 2021
The Visual Sentiment Analysis task is being offered for the first time a...
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10/26/2021
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
The growing use of social media has led to the development of several Ma...
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10/02/2021
Explainable Event Recognition
The literature shows outstanding capabilities for CNNs in event recognit...
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04/20/2021
Artificial Intelligence Based Prognostic Maintenance of Renewable Energy Systems: A Review of Techniques, Challenges, and Future Research Directions
Since the depletion of fossil fuels, the world has started to rely heavi...
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04/06/2021
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions
The increasing need for economic, safe, and sustainable smart manufactur...
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03/01/2021
Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset
Contact tracing has been globally adopted in the fight to control the in...
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01/08/2021
The Diabetic Buddy: A Diet Regulator andTracking System for Diabetics
The prevalence of Diabetes mellitus (DM) in the Middle East is exception...
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12/14/2020
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
As we make tremendous advances in machine learning and artificial intell...
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11/30/2020
Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case
The paper presents our solutions for the MediaEval 2020 task namely Fake...
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11/30/2020
Flood Detection via Twitter Streams using Textual and Visual Features
The paper presents our proposed solutions for the MediaEval 2020 Flood-R...
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11/30/2020
Floods Detection in Twitter Text and Images
In this paper, we present our methods for the MediaEval 2020 Flood Relat...
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09/05/2020
Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services
Most of the research on Federated Learning (FL) has focused on analyzing...
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09/04/2020
Visual Sentiment Analysis from Disaster Images in Social Media
The increasing popularity of social networks and users' tendency towards...
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06/11/2020
Kalman Filter Based Multiple Person Head Tracking
For multi-target tracking, target representation plays a crucial rule in...
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02/03/2020
Deriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case
Sentiment analysis aims to extract and express a person's perception, op...
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10/10/2019
Sentiment Analysis from Images of Natural Disasters
Social media have been widely exploited to detect and gather relevant in...
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10/07/2019
Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences
In this paper we present our methods for the MediaEval 2019 Mul-timedia ...
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09/27/2019
Active Learning for Event Detection in Support of Disaster Analysis Applications
Disaster analysis in social media content is one of the interesting rese...
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01/14/2019
Natural Disasters Detection in Social Media and Satellite imagery: a survey
The analysis of natural disaster-related multimedia content got great at...
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01/10/2019
