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A new approach of clustering based machine-learning algorithm
(
Elsevier B.V.
, 2005 , Article)
Machine-learning research is to study and apply the computer modeling of learning processes in their multiple manifestations, which facilitate the development of intelligent system. In this paper, we have introduced a ...
MASACAD: A multi-agent approach to information customization for the purpose of academic advising of students
(
Elsevier B.V.
, 2006 , Article)
The growth and advancement in the Internet and the World Wide Web has led to an explosion in the amount of available information. This staggering amount of information has made it extremely difficult for users to locate ...
Smart neuropathy detection using machine intelligence: Filling the void between clinical practice and early diagnosis
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
An important aspect of Smart healthcare involves the development of innovative non-intrusive procedures for early detection and diagnosis of specific illnesses. Essentially, diseases for which very complicated and invasive ...
DLRT: Deep learning approach for reliable diabetic treatment
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
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 ...
Fault and performance management in multi-cloud based NFV using shallow and deep predictive structures
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Deployment of Network Function Virtualization (NFV) over multiple clouds accentuates its advantages like flexibility of virtualization, proximity to customers and lower total cost of operation. However, NFV over multiple ...
On the detection of Kernel-level rootkits using hardware performance counters
(
Association for Computing Machinery, Inc
, 2017 , Conference Paper)
Recent work has investigated the use of hardware perfor- mance counters (HPCs) for the detection of malware run- ning on a system. These works gather traces of HPCs for a variety of applications (both malicious and ...
Design and implementation of programmable multi-parametric 4-degrees of freedom seismic waves ground motion simulation IoT platform
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
The early warning and disaster management agencies spend billions of dollars to counter and cater earthquakes but it has always been unique accident. In this work, a programmable four degrees of freedom electromechanical ...
A machine learning approach of load balance routing to support next-generation wireless networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
With the development of Next-generation Wireless Networks (NWNs), delay-sensitive traffic triggered by mobile applications (such as video stream and online games) will become an important part of the NWNs. With the increasing ...
SCADA system testbed for cybersecurity research using machine learning approach
(
MDPI AG
, 2018 , Article)
This paper presents the development of a Supervisory Control and Data Acquisition (SCADA) system testbed used for cybersecurity research. The testbed consists of a water storage tank's control system, which is a stage in ...
Fault and performance management in multi-cloud based NFV using shallow and deep predictive structures
(
Springer
, 2017 , Article)
Deployment of network function virtualization (NFV) over multiple clouds accentuates its advantages such as flexibility of virtualization, proximity to customers and lower total cost of operation. However, NFV over multiple ...