research
∙
06/23/2023
Cross-Language Speech Emotion Recognition Using Multimodal Dual Attention Transformers
Despite the recent progress in speech emotion recognition (SER), state-o...
share
research
∙
06/15/2023
Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques
This article outlines the architecture of autonomous driving and related...
research
∙
05/01/2023
Emotions Beyond Words: Non-Speech Audio Emotion Recognition With Edge Computing
Non-speech emotion recognition has a wide range of applications includin...
research
∙
04/22/2023
Lightweight Toxicity Detection in Spoken Language: A Transformer-based Approach for Edge Devices
Toxicity is a prevalent social behavior that involves the use of hate sp...
research
∙
03/21/2023
Transformers in Speech Processing: A Survey
The remarkable success of transformers in the field of natural language ...
research
∙
01/10/2023
Generative Emotional AI for Speech Emotion Recognition: The Case for Synthetic Emotional Speech Augmentation
Despite advances in deep learning, current state-of-the-art speech emoti...
research
∙
11/14/2022
AI-Based Emotion Recognition: Promise, Peril, and Prescriptions for Prosocial Path
Automated emotion recognition (AER) technology can detect humans' emotio...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
03/31/2021
Privacy Enhanced Speech Emotion Communication using Deep Learning Aided Edge Computing
Speech emotion sensing in communication networks has a wide range of app...
research
∙
03/09/2021
Energy-Efficient MAC for Cellular IoT: State-of-the-Art, Challenges, and Standardization
In the modern world, the connectivity-as-we-go model is gaining populari...
research
∙
03/05/2021
Use of Transfer Learning and Wavelet Transform for Breast Cancer Detection
Breast cancer is one of the most common cause of deaths among women. Mam...
research
∙
03/05/2021
District Wise Price Forecasting of Wheat in Pakistan using Deep Learning
Wheat is the main agricultural crop of Pakistan and is a staple food req...
research
∙
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...
research
∙
02/25/2021
COVID-19 Digital Contact Tracing Applications and Techniques: A Review Post Initial Deployments
The coronavirus disease 2019 (COVID-19) is a severe global pandemic that...
research
∙
01/03/2021
Fake Visual Content Detection Using Two-Stream Convolutional Neural Networks
Rapid progress in adversarial learning has enabled the generation of rea...
research
∙
01/03/2021
WiMesh: Leveraging Mesh Networking For Disaster Communication in Poor Regions of the World
This paper discusses the design, implementation and field trials of WiMe...
research
∙
12/22/2020
Intelligent Resource Allocation in Dense LoRa Networks using Deep Reinforcement Learning
The anticipated increase in the count of IoT devices in the coming years...
research
∙
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...
research
∙
12/01/2020
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
Prediction of seizure before they occur is vital for bringing normalcy t...
research
∙
11/18/2020
A First Look at COVID-19 Messages on WhatsApp in Pakistan
The worldwide spread of COVID-19 has prompted extensive online discussio...
research
∙
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...
research
∙
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...
research
∙
09/05/2020
Examining Machine Learning for 5G and Beyond through an Adversarial Lens
Spurred by the recent advances in deep learning to harness rich informat...
research
∙
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...
research
∙
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...
research
∙
01/27/2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Deep Reinforcement Learning (DRL) has numerous applications in the real ...
research
∙
01/21/2020
Secure and Robust Machine Learning for Healthcare: A Survey
Recent years have witnessed widespread adoption of machine learning (ML)...
research
∙
01/02/2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
Research on speech processing has traditionally considered the task of d...
research
∙
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...
research
∙
09/26/2019
Adversarial Machine Learning Attack on Modulation Classification
Modulation classification is an important component of cognitive self-dr...
research
∙
09/26/2019
Adversarial ML Attack on Self Organizing Cellular Networks
Deep Neural Networks (DNN) have been widely adopted in self-organizing n...
research
∙
08/01/2019
Black-box Adversarial ML Attack on Modulation Classification
Recently, many deep neural networks (DNN) based modulation classificatio...
research
∙
07/13/2019
Unsupervised Adversarial Domain Adaptation for Cross-Lingual Speech Emotion Recognition
Cross-lingual speech emotion recognition (SER) is a crucial task for man...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
04/01/2019
Machine Learning, Big Data, And Smart Buildings: A Comprehensive Survey
Future buildings will offer new convenience, comfort, and efficiency pos...
research
∙
03/28/2019
Using Blockchain to Rein in The New Post-Truth World and Check The Spread of Fake News
In recent years, `fake news' has become a global issue that raises unpre...
research
∙
03/25/2019
Caveat emptor: the risks of using big data for human development
Big data revolution promises to be instrumental in facilitating sustaina...
research
∙
03/04/2019
A Bibliometric Analysis of Publications in Computer Networking Research
This study uses the article content and metadata of four important compu...
research
∙
03/03/2019
Socially-Aware Congestion Control in Ad-Hoc Networks: Current Status and The Way Forward
Ad-hoc social networks (ASNETs) represent a special type of traditional ...
research
∙
02/23/2019
Blockchain And The Future of the Internet:A Comprehensive Review
Blockchain is challenging the status quo of the central trust infrastruc...
research
∙
02/20/2019
Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding
Multishot Magnetic Resonance Imaging (MRI) is a promising imaging modali...
research
∙
12/15/2018
Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages
Cross-lingual speech emotion recognition is an important task for practi...
research
∙
11/28/2018
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness
Deep learning has undoubtedly offered tremendous improvements in the per...
research
∙
11/24/2018
Automating Motion Correction in Multishot MRI Using Generative Adversarial Networks
Multishot Magnetic Resonance Imaging (MRI) has recently gained popularit...
research
∙
11/04/2018