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COLAP: A predictive framework for service function chain placement in a multi-cloud environment
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
Network function virtualization (NFV) over multi-cloud promises network service providers amazing flexibility in service deployment and optimizing cost. Telecommunications applications are, however, sensitive to performance ...
A Comparative Study of Machine Learning Approaches for Handwriter Identification
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
During the past few years, writer identification has attracted significant interest due to its real-life applications including document analysis, forensics etc. Machine learning algorithms have played an important role ...
A mechanistic gas kick model to simulate gas in a riser with water and synthetic-based drilling fluid
(
Society of Petroleum Engineers
, 2020 , Conference Paper)
This paper presents a simple mechanistic model to describe a gas kick in a drilling riser with water- based mud (WBM) and synthetic-based mud (SBM). This model can estimate key kick parameters such as the change in the ...
Cost effective assessment of transformers using machine learning approach
(
IEEE Computer Society
, 2014 , Conference Paper)
Furan content in transformer oil is highly correlated with the transformer insulation paper aging. In this paper, the ranges of furan content in power transformer is predicted using measurements of transformer oil tests ...
Crowd Counting: A Survey of Machine Learning Approaches
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Crowd counting is applied in many areas including efficient resources allocation and effective management of emergency situations. In this paper, we survey and compare various crowd counting methods. Additionally, we ...
DTW based Authentication for Wireless Medical Device Security
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
Wireless medical devices play an important role in providing safety and privacy to patients suffering from major health issues. These light-weight devices can be worn inside or outside the patient's body and provide more ...
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 ...
Recommendation System Towards Residential Energy Saving Based on Anomaly Detection
(
Institute of Electrical and Electronics Engineers Inc. (IEEE)
, 2022 , Conference Paper)
This paper presents a recommender system to promote energy consumption reduction behaviors in residential buildings. The system exploits data stream processing methods jointly with machine learning algorithms on real-time ...
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 ...