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RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
(
Elsevier B.V.
, 2019 , Article)
The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to technical, security, and public safety issues that need to be addressed, regulated and prevented. Security agencies are in continuous ...
Fault and performance management in multi-cloud virtual network services using AI: A tutorial and a case study
(
Elsevier B.V.
, 2019 , Article)
Carriers find Network Function Virtualization (NFV) and multi-cloud computing a potent combination for deploying their network services. The resulting virtual network services (VNS) offer great flexibility and cost advantages ...
Generative Adversarial Network Approach to Future Sermonizing of Housing Dispersal in Emerging Cities
(
American Society of Civil Engineers (ASCE)
, 2022 , Article)
This study aims to visualize the future housing dispersal of expatriates, based on the predicted urban growth in emerging cities. Generalized adversarial networks (GANs) will be utilized to predict the future urban growth ...
Machine learning aided load balance routing scheme considering queue utilization
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Due to the rapid development of network techniques, packet-switched systems experience high-speed growth of traffic, which imposes a heavy and unbalanced burden on the routers. Hence, efficient routing schemes are required ...
An optimal uplink traffic offloading algorithm via opportunistic communications based on machine learning
(
Springer
, 2020 , Article)
Opportunistic communications as an efficient traffic offloading method can be used to offload uplink traffic of cellular networks to Wi-Fi networks. However, because of its contact pattern (contact frequency and contact ...
Data-Driven Intelligent Model for Sale Price Prediction and Monitoring of a Building
(
Springer
, 2020 , Book chapter)
The construction cost forecasting and monitoring plays an important role in a building condition assessment. The construction cost of a building (CCB) not only depends on the method of construction, equipment, labor, and ...
Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city
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Elsevier B.V.
, 2020 , Article)
Identifying cyber attacks traffic is very important for the Internet of things (IoT) security in smart city. Recently, the research community in the field of IoT Security endeavor hard to build anomaly, intrusion and cyber ...
Classification ensemble to improve medical named entity recognition
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
An accurate Named Entity Recognition (NER) is important for knowledge discovery in text mining. This paper proposes an ensemble machine learning approach to recognise Named Entities (NEs) from unstructured and informal ...
Machine Learning-based Regression and Classification Models for Oil Assessment of Power Transformers
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Expensive and widely used power and distribution transformers need to be monitored to ensure the reliability of the power grid. Evaluating the transformer oil different parameters is vital to determine the transformer ...
Automated knowledge discovery in facility layout planning
(
International Business Information Management Association, IBIMA
, 2014 , Conference Paper)
This paper proposes a novel methodology for facilities layout planning and optimization in which fitness evaluation of layout alternatives is done in an automated manner using an artificial neural network trained to user ...