Browsing by Author "Al-Ali, Abdulla"
Now showing items 1-18 of 18
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A Novel Deep Learning Strategy for Classifying Different Attack Patterns for Deep Brain Implants
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Deep brain stimulators (DBSs), a widely used and comprehensively acknowledged restorative methodology, are a type of implantable medical device which uses electrical stimulation to treat neurological disorders. These devices ... -
A review of security challenges, attacks and resolutions for wireless medical devices
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference)Evolution of implantable medical devices for human beings has provided a radical new way for treating chronic diseases such as diabetes, cardiac arrhythmia, cochlear, gastric diseases etc. Implantable medical devices have ... -
A Visualization Training Tool for Optimum Cutting Range During Urethral Dissection in Robot-Assisted Radical Prostatectomy: A deep learning approach
(2021 , Master Thesis)Surgical training and skills assessment is one of the methodologies used by clinical practitioners to master their skills in a fault-tolerant, safe and risk-free environment. Software training tools is one of them. Narrowing ... -
AI-based UAV navigation framework with digital twin technology for mobile target visitation
( Elsevier , 2023 , Article)Unmanned Air Vehicles (UAVs), i.e. drones, have become a key enabler technology of many reconnaissance applications in different fields, such as military, maritime, and transportation. UAVs offer several benefits, such as ... -
Audio based drone detection and identification using deep learning
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)In recent years, unmanned aerial vehicles (UAVs) have become increasingly accessible to the public due to their high availability with affordable prices while being equipped with better technology. However, this raises a ... -
Compress or Interfere?
( IEEE Computer Society , 2019 , Conference)Rapid evolution of wireless medical devices and network technologies has fostered the growth of remote monitoring systems. Such new technologies enable monitoring patients' medical records anytime and anywhere without ... -
Content Validity and User Satisfaction Evaluation of Visualization Training Tool for Surgeons for Urethral Dissection during Robot-Assisted Radical Prostatectomy
( Association for Computing Machinery , 2021 , Conference)Training and skills assessment for robotic surgeries has received unprecedented attention in technological research in the last few years due to the gradual adoption of minimally invasive robotic interventions. Robot-assisted ... -
COVID-19: Modeling, AI and Innovative Technologies to Flatten the Curve
( College of Engineering - Qatar University , 2020 , Video)NA -
DDI: Drones Detection and Identification using Deep Learning Techniques
(2021 , Master Thesis)Drones are becoming increasingly popular not only for recreational purposes but in day-to-day applications in engineering, medicine, logistics, security and others. Besides their useful applications, an alarming concern ... -
DLRT: Deep learning approach for reliable diabetic treatment
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference)Diabetic therapy or insulin treatment enables patients to control the blood glucose level. Today, instead of physically utilizing syringes for infusing insulin, a patient can utilize a gadget, for example, a Wireless Insulin ... -
Efficient EEG mobile edge computing and optimal resource allocation for smart health applications
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)In the past few years, a rapid increase in the number of patients requiring constant monitoring, which inspires researchers to develop intelligent and sustainable remote smart healthcare services. However, the transmission ... -
Ensuring Quality of Service in Blockchain-Based Healthcare System
(2020 , Master Thesis)Blockchain is a distributed secure ledger that eliminates the need for centralized authority to store data. It provides decentralized, secure and trustless framework that does not require a third party for transaction ... -
Exploiting bluetooth vulnerabilities in e-health IoT devices
( Association for Computing Machinery , 2019 , Conference)Internet of Things (IoT) is an interconnected network of heterogeneous things through the Internet. The current and next generation of e-health systems are dependent on IoT devices such as wireless medical sensors. One of ... -
Fuzzy Identification-Based Encryption for healthcare user face authentication
( Hamad bin Khalifa University Press (HBKU Press) , 2022 , Article)Background: Internet of Medical Things (IOMT) has the potential to monitor health continuously and in real-time. One of the main issues that arise in IOMT is how securely the data can be transmitted to the clinical team. ... -
IoT-based fire alarm system
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)Fire alarm systems are essential in alerting people before tire engulfs their homes. However, tire alarm systems, today, require a lot of wiring and labor to be installed. This discourages users from installing them in ... -
Recent Advances in the Internet-of-Medical-Things (IoMT) Systems Security
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The rapid evolutions in microcomputing, mini-hardware manufacturing, and machine-to-machine (M2M) communications have enabled novel Internet-of-Things (IoT) solutions to reshape many networking applications. Healthcare ... -
A secure and efficient Internet of Things cloud encryption scheme with forensics investigation compatibility based on identity-based encryption
( Elsevier B.V. , 2021 , Article)Data security is a challenge for end-users of cloud services as the users have no control over their data once it is transmitted to the cloud. A potentially corrupt cloud service provider can obtain the end-users’ data. ... -
Vehicle identification using optimised ALPR.
( Qatar University Press , 2021 , Poster)Vehicles are a common sight on the road. Tracking and monitoring suspicious vehicles for identification due to high similarity in structure and form leads to difficulties in differentiating between them. The unique identity ...
