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A Deep Reinforcement Learning Framework for Data Compression in Uplink NOMA-SWIPT Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
<comment< Non-orthogonal multiple access (NOMA) shall play an important role in the current and foreseeable design of 5G and beyond networks. NOMA allows multiple users to share the same time-frequency ...
3D capture techniques for BIM enabled LCM
(
Springer New York LLC
, 2016 , Conference Paper)
As a special kind of Product Life cyle Management (PLM), Building Life cycle Management (BLM) is a centric activity for facility owners and managers. This fact motivates the adoption of Building Information Modeling (BIM) ...
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The Internet of Things (IoT) integrates billions of smart devices that can communicate with one another with minimal human intervention. IoT is one of the fastest developing fields in the history of computing, with an ...
Secure Transmission of IoT mHealth Patient Monitoring Data from Remote Areas Using DTN
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
In remote rural areas without continuous Internet connectivity, it is hard to envisage the use of mHealth applications for remote patient monitoring. In such areas, patients need to travel long distances to reach the nearest ...
IoT-enabled smart child safety digital system architecture
(
IEEE
, 2020 , Conference Paper)
Safety of a child in a large public event is a major concern for event organizers and parents. This paper addresses this important concern and proposes an architecture model of the IoT-enable smart child safety tracking ...
Embedded gateway services for Internet of Things applications in ubiquitous healthcare
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
The continuous advancement in computer and communication technologies has made personalized healthcare monitoring a rapidly growing area of interest. New features and services are envisaged, raising users' expectations in ...
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 ...
Robust quality metric for scarce mobile crowd-sensing scenarios
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
This paper proposes a novel quality of source metric for Mobile Crowd-Sensing systems (MCS), for systems with scarce participant availability due to small sample sizes in each sensing cycle. We introduce a controlled quality ...
Structural health monitoring installation scheme using utility computing model
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
In view of intensified disasters and fatalities caused by natural phenomena, there is a pressing need for an efficient environment logging that provides structural information to administrators for a better management and ...
A novel Conceptual Machine Learning Method using Random Conceptual Decomposition
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Formal Concept Analysis (FCA) is emerging in Data Science because of its generality, simplicity, and powerful mathematical foundation. It enabled a uniform data clustering methods into structured space of formal concepts. ...