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Hasan Abdullah Hasan Naji

Hasan Abdullah Hasan Naji
Independent Researcher · School of Digital Media

Doctor of Philosophy

About

18
Publications
3,623
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168
Citations
Introduction
Hasan obtained his Ph.D in computer science and postdoctoral fellow in transportation data analytic.Current research interests are transportation data analysis, crash data analysis, big data technology and computer vision

Publications

Publications (18)
Article
Full-text available
With the ubiquitous deployment of mobile and sensor technologies in modes of transportation, taxis have become a significant component of public transportation. However, vacant taxis represent an important waste of transportation resources. Forecasting taxi demand within a short time achieves a supply–demand balance and reduces oil emissions. Altho...
Article
Full-text available
Recently, hyperspectral image (HSI) classification has become a hot topic in the geographical images research area. Sufficient samples are required for image classes to properly train classification models. However, a class imbalance problem has emerged in hyperspectral image (HSI) datasets as some classes do not have enough samples for training, a...
Article
Full-text available
Identifying dangerous events from driving behavior data has become a vital challenge in intelligent transportation systems. In this study, we compared machine and deep learning-based methods for classifying the risk levels of near-crashes. A dataset was built for the study by considering variables related to naturalistic driving, temporal data, par...
Article
Full-text available
The safety and continuality of the railway network are guaranteed by carrying out a lot of maintenance interventions on the railway track. One of the most important of these actions is tamping, where railway infrastructure managers focus on optimizing tamping activities in ballasted tracks to reduce the maintenance cost. To this end, this article p...
Article
Full-text available
Public key encryption with equality test enables the user to determine whether two ciphertexts contain the same information without decryption. Therefore, it may serve as promising cryptographic technique for cloud-assisted wireless sensor networks (CWSNs) to maintain data privacy. In this paper, an efficient RSA with equality test algorithm is pro...
Article
Full-text available
As a popular transportation mode in urban regions, taxis play an essential role in providing comfortable and convenient services for travelers. For the sake of tackling the imbalance between supply and demand, taxi demand forecasting can help drivers plan their routes and reduce waiting time and oil pollution. This paper proposes a deep learning-ba...
Article
Full-text available
Recently, autonomous driving becomes a hot topic in research and industry area. Autonomous driving technology needs to perceive the semantic information of road scenes in the all-day and open environment. In this paper, the semantic recognition of traffic scenes is studied using a deep learning network model, and a semantic representation model of...
Article
Full-text available
Driving risk varies substantially according to many factors related to the driven vehicle, environmental conditions, and drivers. This study explores the contributing historical factors of driving risk with hierarchical clustering analysis and the quasi-Poisson regression model. The dataset of the study was collected from two sources: naturalistic...
Article
Full-text available
Service composition process generates composite services in order to fullfill service consumer’s requirements that cannot be satisfied by a single service. Literature review addressed services composition but ignored verifying the existence of several serious issues, which may affect Service composition and may lead to failure of the given composit...
Article
Full-text available
With the considerable increase in ownership of motor vehicles, traffic crashes have become a challenge. This paper presents a study of naturalistic driving conducted to collect driving data. The experiments were performed on different road types in the city of Wuhan in China. The collected driving data were used to develop a near-crash database, wh...
Article
Full-text available
Taxi trajectories reflect human mobility over the urban roads’ network. Although taxi drivers cruise the same city streets, there is an observed variation in their daily profit. To reveal the reasons behind this issue, this study introduces a novel approach for investigating and understanding the impact of human mobility patterns (taxi drivers’ beh...
Article
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Service composition is considered as a promising approach to generate composite services for satisfying services Consumers’ needs using their preferences. Literature review shows that previous studies ignored issues that affect Service composition such as increasing composition time and no ranking for produced composite services. To address these i...
Article
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This paper presents OWLS-CSM framework, an OWL-S Service Profile based simlairity framework for web service discovery in cloud environment. In the proposed framework, services are presented as advertisements; their concepts are semantically defined and described in a hierarchal ontology to facilitate service matchmaking. In matchmaking process adve...
Article
Full-text available
This research focuses on the major issues that weigh upon a hotel companys decision to implement cloud computing. In this study there was a random selection done for 15 hotels (5 hotels five stars chains, 5 franchised hotels 3 and 4 stars and 5 local hotels). The aim of this paper revolves to (I) Study and analyze the major issues have an impact on...
Article
Full-text available
In the last few years, most of the proposed routing protocols problems in mobile ad-hoc networks (MANET) is how to improve the energy and how to maximize the network lifetime, the network node energy-limited routing protocol research is a central issue, IETF's MANET working group has proposed several classical routing protocols, which are the short...

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