A5005341406- Advanced Wireless Communication Technologies
- EEG and Brain-Computer Interfaces
- Advanced MIMO Systems Optimization
- UAV Applications and Optimization
- IoT Networks and Protocols
- Blockchain Technology Applications and Security
- Cooperative Communication and Network Coding
- Neural dynamics and brain function
- Distributed Control Multi-Agent Systems
- Wireless Signal Modulation Classification
- Advanced Memory and Neural Computing
- COVID-19 diagnosis using AI
- Earthquake Detection and Analysis
- Neural Networks and Applications
- ECG Monitoring and Analysis
- Customer churn and segmentation
- Privacy, Security, and Data Protection
- Mental Health Research Topics
- IoT and Edge/Fog Computing
- Satellite Communication Systems
- Digital Mental Health Interventions
- Lung Cancer Diagnosis and Treatment
- Robotic Path Planning Algorithms
- Digital Marketing and Social Media
- CCD and CMOS Imaging Sensors
Lakehead University
2020-2021
With the exponentially growing COVID-19 (coronavirus disease 2019) pandemic, clinicians continue to seek accurate and rapid diagnosis methods in addition virus antibody testing modalities. Because radiographs such as X-rays computed tomography (CT) scans are cost-effective widely available at public health facilities, hospital emergency rooms (ERs), even rural clinics, they could be used for detection of possible COVID-19-induced lung infections. Therefore, toward automating detection, this...
Multihop device-to-device (D2D)-enabled relay networks are envisaged to be utilized by the Internet of Things (IoT) and massive machine-type communication (mMTC) traffic for purpose offloading data in beyond fifth-generation (B5G) networks. The emerging challenge spectrum scarcity overloading cellular base stations can addressed using such nodes terms energy efficiency. In order improve spectral efficiency, this article, we intend employ several frequency bands concurrently node rather than...
In Beyond Fifth Generation (B5G) networks, Internet of Things (IoT) and massive Machine Type Communication (mMTC) traffic are anticipated to be offloaded by multi-hop, Device-to-Device (D2D)-enabled relay networks. The relays offer an energy spectral-efficient solution the rising problem spectrum scarcity overloading cellular base stations. Moving beyond conventional paradigm nodes employing channels on a specific band at time, in this article, we aim investigate how simultaneously leverage...
Despite the severity of second wave novel coronavirus disease (COVID-19) and recent hope for vaccine roll-outs, many public private institutions are forced to resume their activities subject ensuring an adequate sterilization premises. The existing off-the-shelf drones such environment sanitization have limited flight-time payload-carrying capacity. In this paper, we address challenge by formulating optimization problem minimize energy consumed equipped with ultraviolet-C band (UV-C) panels....
Traditional cloud computing of raw Electroencephalogram (EEG) data, particularly for continuous monitoring use-cases, consumes precious network resources and contributes to delay. Motivated by the paradigm shift edge Internet Things (IoT) monitoring, we focus on this paper first step carry out EEG analytics at last frontier (i.e., ultra-edge) our considered cyber-physical system ensuring users' convenience privacy. To overcome challenges due computational energy resource constraints IoT...
Digital connectivity in distant, under-served rural communities is regarded as a major barrier to improving healthcare services. To alleviate this issue, paper, we consider Unmanned Aerial Vehicles (UAV)-based health data offloading from the wireless terminals (WTs) of inhabitants area that include user-smartphones, Internet Things (IoT) devices, vital monitors, and so forth. However, serving large using UAVs emerges challenging problem due their limited energy resources. Therefore, need for...