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Now showing items 71-80 of 111
Public Security Surveillance System Using Blockchain Technology and Advanced Image Processing Techniques
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
National security is a top priority to mitigate intrusions and criminal acts. Governments require robust national surveillance system that can cover all geographical areas, including the blind spots that may hold violence ...
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Machine learning techniques are becoming mainstream in intrusion detection systems as they allow real-time response and have the ability to learn and adapt. By using a comprehensive dataset with multiple attack types, a ...
Development of oil formation volume factor model using adaptive neuro-fuzzy inference systems ANFIS
(
Society of Petroleum Engineers
, 2021 , Conference Paper)
The oil formation volume factor is one of the main reservoir fluid properties that plays a crucial role in designing successful field development planning and oil and gas production optimization. The oil formation volume ...
An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Crowdsourced live video streaming (livecast) services such as Facebook Live, YouNow, Douyu, and Twitch are gaining more momentum recently. Allocating the limited resources in a cost-effective manner while maximizing the ...
Cross corpus multi-lingual speech emotion recognition using ensemble learning
(
Springer
, 2021 , Article)
Receiving an accurate emotional response from robots has been a challenging task for researchers for the past few years. With the advancements in technology, robots like service robots interact with users of different ...
Energy-Aware Distributed Edge ML for mHealth Applications with Strict Latency Requirements
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Edge machine learning (Edge ML) is expected to serve as a key enabler for real-time mobile health (mHealth) applications. However, its reliability is governed by the limited energy and computing resources of user equipment ...
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. ...
Neuro-fuzzy analytics in athlete development (NueroFATH): a machine learning approach
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Article)
Athletes represent the apex of physical capacity filling in a social picture of performance and build. In light of the fundamental contrasts in athletic capacities required for different games, each game demands an alternate ...
Structural Damage Detection in Civil Engineering with Machine Learning: Current State of the Art
(
Springer
, 2022 , Conference Paper)
This paper presents a brief overview of vibration-based structural damage detection studies that are based on machine learning (ML) in civil engineering structures. The review includes both parametric and nonparametric ...
Cybersecurity for industrial control systems: A survey
(
Elsevier Ltd
, 2020 , Article Review)
Industrial Control System (ICS) is a general term that includes supervisory control & data acquisition (SCADA) systems, distributed control systems (DCS), and other control system configurations such as programmable logic ...