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Now showing items 11-15 of 15
Artificial Intelligence and Cyber Defense System for Banking Industry: A Qualitative Study of AI Applications and Challenges
(
Taylor & Francis
, 2022 , Article)
Cyberattacks are becoming more and more intense in the banking industry (Ryzhkova et al. 2020). Banking industry is trying to adopt artificial intelligence to create cyber defence system so that the unauthorized access and ...
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 ...
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 ...
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 ...