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06/15/2023
Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques
This article outlines the architecture of autonomous driving and related...
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04/26/2023
Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask Learning
Clustered federated Multitask learning is introduced as an efficient tec...
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03/03/2023
Topic Modeling Based on Two-Step Flow Theory: Application to Tweets about Bitcoin
Digital cryptocurrencies such as Bitcoin have exploded in recent years i...
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01/26/2023
Metaverse for Wireless Systems: Architecture, Advances, Standardization, and Open Challenges
The growing landscape of emerging wireless applications is a key driver ...
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11/02/2022
Continual Conscious Active Fine-Tuning to Robustify Online Machine Learning Models Against Data Distribution Shifts
Unlike their offline traditional counterpart, online machine learning mo...
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07/08/2022
Mobile-IRS Assisted Next Generation UAV Communication Networks
Prior research on intelligent reflection surface (IRS)-assisted unmanned...
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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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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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08/16/2021
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks
Clustered Federated Multitask Learning (CFL) was introduced as an effici...
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06/20/2021
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning
In Federated edge learning (FEEL), energy-constrained devices at the net...
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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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04/06/2021
Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques
Building operations represent a significant percentage of the total prim...
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03/30/2021
Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning
Federated edge learning (FEEL) is a promising distributed learning techn...
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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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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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11/16/2020
Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning
Machine Learning (ML), and Deep Learning (DL) in particular, play a vita...
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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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08/11/2020
Trust-Based Cloud Machine Learning Model Selection For Industrial IoT and Smart City Services
With Machine Learning (ML) services now used in a number of mission-crit...
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06/22/2020
Artificial Intelligence-Assisted Energy and Thermal Comfort Control for Sustainable Buildings: An Extended Representation of the Systematic Review
Discussion of the environmental impact of buildings has been gaining wei...
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04/05/2020
Analysis of Asymmetric Dual-Hop Energy Harvesting-Based Wireless Communication Systems in Mixed Fading Environments
In this paper, the performance of a dual-hop energy harvesting-based fix...
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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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01/27/2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Deep Reinforcement Learning (DRL) has numerous applications in the real ...
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01/21/2020
Secure and Robust Machine Learning for Healthcare: A Survey
Recent years have witnessed widespread adoption of machine learning (ML)...
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01/10/2020
Exploiting Unlabeled Data in Smart Cities using Federated Learning
Privacy concerns are considered one of the main challenges in smart citi...
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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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09/28/2019
Opportunistic Selection of Vehicular Data Brokers as Relay Nodes to the Cloud
The Internet of Things (IoT) revolution and the development of smart com...
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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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09/26/2019
Adversarial Machine Learning Attack on Modulation Classification
Modulation classification is an important component of cognitive self-dr...
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08/01/2019
Black-box Adversarial ML Attack on Modulation Classification
Recently, many deep neural networks (DNN) based modulation classificatio...
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06/03/2019
The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks?
The holy grail of networking is to create cognitive networks that organi...
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05/29/2019
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward
Connected and autonomous vehicles (CAVs) will form the backbone of futur...
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05/15/2019
Opportunistic Data Ferrying in Areas with Limited Information and Communications Infrastructure
Interest in smart cities is rapidly rising due to the global rise in urb...
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04/01/2019
Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey
Future buildings will offer new convenience, comfort, and efficiency pos...
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04/01/2019
Machine Learning, Big Data, And Smart Buildings: A Comprehensive Survey
Future buildings will offer new convenience, comfort, and efficiency pos...
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10/09/2018
Semi-supervised Deep Reinforcement Learning in Support of IoT and Smart City Services
Smart services are an important element of the smart cities and the Inte...
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10/09/2018
Enabling Cognitive Smart Cities Using Big Data and Machine Learning: Approaches and Challenges
The development of smart cities and their fast-paced deployment is resul...
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09/26/2018
Adversarial Attacks on Cognitive Self-Organizing Networks: The Challenge and the Way Forward
Future communications and data networks are expected to be largely cogni...
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09/24/2018
SDN Flow Entry Management Using Reinforcement Learning
Modern information technology services largely depend on cloud infrastru...
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05/28/2018
Softwarization of Internet of Things Infrastructure for Secure and Smart Healthcare
We propose an agile softwarized infrastructure for flexible, cost effect...
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05/28/2018
Reinforcement Learning for Resource Provisioning in Vehicular Cloud
This article presents a concise view of vehicular clouds that incorporat...
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04/23/2018