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An image steganography approach based on k-least significant bits (k-LSB)
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Image steganography is the operation of hiding a message into a cover image. the message can be text, codes, or image. Hiding an image into another is the proposed approach in this paper. Based on LSB coding, a k-LSB-based ...
A review of deep learning-based detection methods for COVID-19
(
Elsevier Ltd
, 2022 , Article)
COVID-19 is a fast-spreading pandemic, and early detection is crucial for stopping the spread of infection. Lung images are used in the detection of coronavirus infection. Chest X-ray (CXR) and computed tomography (CT) ...
Detection and severity classification of COVID-19 in CT images using deep learning
(
MDPI
, 2021 , Article)
Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from ...
The Economic Impact of Optimizing a COVID-19 Management Protocol in Pre-Existing Cardiovascular Disease Patients
(
Elsevier
, 2022 , Article)
This study answers the question of whether the health care costs of managing COVID-19 in preexisting cardiovascular diseases (CVD) patients increased or decreased as a consequence of evidence-based efforts to optimize the ...
Dynamic Distributed Multi-Path Aided Load Balancing for Optical Data Center Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Benefiting from dense connections in data center networks (DCNs), load balancing algorithms are capable of steering traffic into multiple paths for the sake of preventing traffic congestion. However, given each path's ...
Scratch-Rec: a novel Scratch recommendation approach adapting user preference and programming skill for enhancing learning to program
(
Springer
, 2022 , Article)
Among teenagers, online programming learning platforms, such as Scratch, have obtained promising achievements for guiding beginners. However, with the ever-growing number of users, there is an urgent issue that learners ...
A Secure Energy Efficient Scheme for Cooperative IoT Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
A secure energy efficient approach is proposed to connect Internet of Things (IoT) sensors that operate with limited power resources. This is done by optimizing simultaneously the energy efficiency, the communication rate ...
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
The rapid production of mobile devices along with the wireless applications boom is continuing to evolve daily. This motivates the exploitation of wireless spectrum using multiple Radio Access Technologies (multi-RAT) and ...
Enabling Efficient Scheduling in Large-Scale UAV-Assisted Mobile-Edge Computing via Hierarchical Reinforcement Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Due to the high maneuverability and flexibility, unmanned aerial vehicles (UAVs) have been considered as a promising paradigm to assist mobile edge computing (MEC) in many scenarios including disaster rescue and field ...
Personalized Content Sharing via Mobile Crowdsensing
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Personalized content sharing will inevitably become one of the core applications of mobile Internet of Things. However, the existing strategies for content sharing are far from effective content personalization, since they ...