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08/28/2023
Heterogeneous Drone Small Cells: Optimal 3D Placement for Downlink Power Efficiency and Rate Satisfaction
In this paper, we consider a heterogeneous repository of drone-enabled a...
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08/21/2023
SCC5G: A PQC-based Architecture for Highly Secure Critical Communication over Cellular Network in Zero-Trust Environment
5G made a significant jump in cellular network security by offering enha...
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07/03/2023
5G Wings: Investigating 5G-Connected Drones Performance in Non-Urban Areas
Unmanned aerial vehicles (UAVs) have become extremely popular for both m...
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06/15/2023
Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning
This paper investigates an interference-aware joint path planning and po...
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06/15/2023
Attention-based Open RAN Slice Management using Deep Reinforcement Learning
As emerging networks such as Open Radio Access Networks (O-RAN) and 5G c...
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06/10/2023
ECGBERT: Understanding Hidden Language of ECGs with Self-Supervised Representation Learning
In the medical field, current ECG signal analysis approaches rely on sup...
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05/22/2023
A Meta-learning based Generalizable Indoor Localization Model using Channel State Information
Indoor localization has gained significant attention in recent years due...
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04/25/2023
Autoencoder-based Radio Frequency Interference Mitigation For SMAP Passive Radiometer
Passive space-borne radiometers operating in the 1400-1427 MHz protected...
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03/04/2023
Synthetic ECG Signal Generation using Probabilistic Diffusion Models
Deep learning image processing models have had remarkable success in rec...
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02/08/2023
Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios
Facial expressions convey massive information and play a crucial role in...
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08/30/2022
Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN
The next-generation wireless networks are required to satisfy a variety ...
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05/14/2022
LB-OPAR: Load Balanced Optimized Predictive and Adaptive Routing for Cooperative UAV Networks
Cooperative ad-hoc UAV networks have been turning into the primary solut...
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12/05/2021
Synthetic ECG Signal Generation Using Generative Neural Networks
Electrocardiogram (ECG) datasets tend to be highly imbalanced due to the...
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05/08/2021
An Exhaustive Study of Using Commercial LTE Network for UAV Communication in Rural Areas
Unmanned aerial vehicles (UAVs) have been increasingly used in a wide ar...
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05/06/2021
How UAVs' Highly Dynamic 3D Movement Improves Network Security?
Cooperative ad hoc unmanned aerial vehicle (UAV) networks need essential...
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04/03/2021
A Review of AI-enabled Routing Protocols for UAV Networks: Trends, Challenges, and Future Outlook
Unmanned Aerial Vehicles (UAVs), as a recently emerging technology, enab...
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03/23/2021
Fully-echoed Q-routing with Simulated Annealing Inference for Flying Adhoc Networks
Current networking protocols deem inefficient in accommodating the two k...
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02/06/2021
A Greedy Graph Search Algorithm Based on Changepoint Analysis for Automatic QRS Complex Detection
The electrocardiogram (ECG) signal is the most widely used non-invasive ...
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02/02/2021
A Graph-Constrained Changepoint Learning Approach for Automatic QRS-Complex Detection
This study presents a new viewpoint on ECG signal analysis by applying a...
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01/17/2021
OPAR: Optimized Predictive and Adaptive Routing for Cooperative UAV Networks
Cooperative UAV networks are becoming increasingly popular in military a...
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12/28/2020
Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset
Wildfires are one of the costliest and deadliest natural disasters in th...
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10/05/2020
Multi-level Feature Learning on Embedding Layer of Convolutional Autoencoders and Deep Inverse Feature Learning for Image Clustering
This paper introduces Multi-Level feature learning alongside the Embeddi...
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07/16/2020
Real-time Framework for Trust Monitoring in aNetwork of Unmanned Aerial Vehicles
Unmanned aerial vehicles (UAVs) have been increasingly utilized in vario...
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04/24/2020
A Graph-constrained Changepoint Detection Approach for ECG Segmentation
Electrocardiogram (ECG) signal is the most commonly used non-invasive to...
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03/09/2020
Deep Inverse Feature Learning: A Representation Learning of Error
This paper introduces a novel perspective about error in machine learnin...
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03/08/2020
Inverse Feature Learning: Feature learning based on Representation Learning of Error
This paper proposes inverse feature learning as a novel supervised featu...
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02/12/2020
HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks
Atrial fibrillation (AF) is one of the most prevalent cardiac arrhythmia...
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02/10/2020
gfpop: an R Package for Univariate Graph-Constrained Change-point Detection
In a world with data that change rapidly and abruptly, it is important t...
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11/26/2019
An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations
This paper studies the problem of spectrum shortage in an unmanned aeria...
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09/25/2019
Single-modal and Multi-modal False Arrhythmia Alarm Reduction using Attention-based Convolutional and Recurrent Neural Networks
This study proposes a deep learning model that effectively suppresses th...
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07/29/2019
A Survey on Hardware-based Security Mechanisms for Internet of Things
The vast areas of applications for IoTs in future smart cities, industri...
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07/28/2019
A Proof of Concept SRAM-based Physically Unclonable Function (PUF) Key Generation Mechanism for IoT Devices
This paper provides a proof of concept for using SRAM based Physically U...
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04/17/2019
An Unsupervised Feature Learning Approach to Reduce False Alarm Rate in ICUs
The high rate of false alarms in intensive care units (ICUs) is one of t...
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04/16/2019
A Solution for Dynamic Spectrum Management in Mission-Critical UAV Networks
In this paper, we study the problem of spectrum scarcity in a network of...
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04/15/2019
Wildfire Monitoring in Remote Areas using Autonomous Unmanned Aerial Vehicles
In this paper, we propose a drone-based wildfire monitoring system for r...
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03/05/2019
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
Electroencephalogram (EEG) is a common base signal used to monitor brain...
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11/17/2018
Autonomous Extraction of a Hierarchical Structure of Tasks in Reinforcement Learning, A Sequential Associate Rule Mining Approach
Reinforcement learning (RL) techniques, while often powerful, can suffer...
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11/13/2018
Distributed Cooperative Spectrum Sharing in UAV Networks Using Multi-Agent Reinforcement Learning
In this paper, we develop a distributed mechanism for spectrum sharing a...
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09/07/2018
Optimal Relaying Beamforming in Multiple Access Broadcast Channel (MABC) Bidirectional Cognitive Radio Networks in Presence of Interferers
In this paper, a general cognitive radio system consisting of a set of u...
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07/31/2018
A Unified Framework for Joint Mobility Prediction and Object Profiling of Drones in UAV Networks
In recent years, using a network of autonomous and cooperative unmanned ...
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06/04/2018
On Greedy Routing in Dynamic UAV Networks
Unmanned aerial vehicles (UAVs), commonly known as drones, are becoming ...
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05/17/2018
A Secret Key Generation Scheme for Internet of Things using Ternary-States ReRAM-based Physical Unclonable Functions
Some of the main challenges towards utilizing conventional cryptographic...
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04/26/2018
A Feature Selection Method Based on Shapley Value to False Alarm Reduction in ICUs, A Genetic-Algorithm Approach
High false alarm rate in intensive care units (ICUs) has been identified...
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02/18/2018
Leader-follower based Coalition Formation in Large-scale UAV Networks, A Quantum Evolutionary Approach
The problem of decentralized multiple Point of Interests (PoIs) detectio...
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02/16/2018
A Reputation-based Stackelberg Game Model to Enhance Secrecy Rate in Spectrum Leasing to Selfish IoT Devices
The problem of cooperative spectrum leasing to unlicensed Internet of Th...
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12/21/2017
A ReRAM Physically Unclonable Function (ReRAM PUF)-based Approach to Enhance Authentication Security in Software Defined Wireless Networks
The exponentially increasing number of ubiquitous wireless devices conne...
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11/01/2017
A Coalition Formation Approach to Coordinated Task Allocation in Heterogeneous UAV Networks
The problem of adversary target detection and the subsequent task comple...
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12/05/2015
