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A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Objective: Scarcity of good quality electroencephalography (EEG) data is one of the roadblocks for accurate seizure prediction. This work proposes a deep convolutional generative adversarial network (DCGAN) to generate ...
ChatGPT-A double-edged sword for healthcare education? Implications for assessments of dental students
(
Wiley
, 2023 , Article)
Introduction: Open-source generative artificial intelligence (AI) applications are fast-transforming access to information and allow students to prepare assignments and offer quite accurate responses to a wide range of ...
SRL-SOA: SELF-REPRESENTATION LEARNING WITH SPARSE 1D-OPERATIONAL AUTOENCODER FOR HYPERSPECTRAL IMAGE BAND SELECTION
(
IEEE Computer Society
, 2022 , Conference Paper)
The band selection in the hyperspectral image (HSI) data processing is an important task considering its effect on the computational complexity and accuracy. In this work, we propose a novel framework for the band selection ...
Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Despite significant improvements over the last few years, cloud-based healthcare applications continue to suffer from poor adoption due to their limitations in meeting stringent security, privacy, and quality of service ...
A Malware Detection Method for Health Sensor Data Based on Machine Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Traditional signature-based malware detection approaches are sensitive to small changes in the malware code. Currently, most malware programs are adapted from existing programs. Hence, they share some common patterns but ...
Efficient Pandemic Infection Detection Using Wearable Sensors and Machine Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
More than three years into the coronavirus disease 2019 (COVID-19) pandemic, it can be noted that the measures put in place for societies to manage the spread of this disease could have been better. For example, contact ...
Machine Learning Techniques for Detecting Attackers during Quantum Key Distribution in IoT Networks with Application to Railway Scenarios
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Internet of Things (IoT) deployments face significant security challenges due to the limited energy and computational power of IoT devices. These challenges are more serious in the quantum communications era, where certain ...
Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions
(
MDPI
, 2023 , Article Review)
The carotid artery is a major blood vessel that supplies blood to the brain. Plaque buildup in the arteries can lead to cardiovascular diseases such as atherosclerosis, stroke, ruptured arteries, and even death. Both ...
Edge Technologies for Disaster Management: A Survey of Social Media and Artificial Intelligence Integration
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Article)
Within the paradigm of smart cities, smart devices can be considered as a tool to enhance safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge computing, and artificial intelligence are ...
Integrating AI and ML in Myelodysplastic Syndrome Diagnosis: State-of-the-Art and Future Prospects
(
Multidisciplinary Digital Publishing Institute (MDPI)
, 2023 , Article)
Myelodysplastic syndrome (MDS) is composed of diverse hematological malignancies caused by dysfunctional stem cells, leading to abnormal hematopoiesis and cytopenia. Approximately 30% of MDS cases progress to acute myeloid ...