MALATH ADNAN AL-ZUBAIDI | Warsaw University of Technology (original) (raw)

Papers by MALATH ADNAN AL-ZUBAIDI

Computer-Aided Design and Applications, 2017

Daylighting not only provides alternative illumination to artificial lighting that can reduce ene... more Daylighting not only provides alternative illumination to artificial lighting that can reduce energy consumption, it also can increase an inhabitant's productivity and help to relieve depression. Maximizing the access of daylight for an interior space in a dense urban environment has thus become a priority in lighting design. Digital lighting simulation using high dynamic range imaging for image-based lighting can provide accurate daylight simulation of an interior luminance distribution. However, the method of generating a high-dynamic range light probe image is limited to the setting of a flat landscape with an unobstructed view. This paper presents an innovative system that is implemented using a lightweight smartphone camera equipped with a fish-eye lens on a customized unmanned aerial vehicle (UAV). The system can be remotely controlled to loiter, recording multiple images in a horizontal direction. The captured images can then be assembled into a high dynamic range light probe image to be used as the image-based lighting source for interior spaces with onedirectional access to daylight. The pilot test proved that the light probe images generated with the constructed prototype and system provide reasonable accuracy in daylight simulation.

Design and Development of Unmanned Aerial-Vehicle (Drone) for Civil Applications, 2020

Master of Science in Engineering in the field of Telecommunication (1) multi-rotor system; And (2... more Master of Science in Engineering in the field of Telecommunication (1) multi-rotor system; And (2) fixed-wing system. The multi-rotor drones consist of a central body and multiple rotors that drive helicopters to fly and maneuver the plane. These usually contain four rotors (quadcopters), but they can contain up to six or eight (hexagonal and octopus).

Respiratory Medicine Case Reports

The communication revolution has perpetually reshaped the means through which people send and rec... more The communication revolution has perpetually reshaped the means through which people send and receive information. Social media is an important pillar of this revolution and has brought profound changes to various aspects of our lives. However, the open environment and popularity of these platforms inaugurate windows of opportunities for various cyber threats, thus social networks have become a fertile venue for spammers and other illegitimate users to execute their malicious activities. These activities include phishing hot and trendy topics and posting a wide range of contents in many topics. Hence, it is crucial to continuously introduce new techniques and approaches to detect and stop this category of users. This paper proposes a novel and effective approach to detect social spammers. An investigation into several attributes to measure topic-dependent and topic-independent users' behaviours on Twitter is carried out. The experiments of this study are undertaken on various ma...

Fifth IEEE International Conference on Peer-to-Peer Computing (P2P'05), 2005

Recently, Sentiment Analysis applied to social media data has gradually become one of the signifi... more Recently, Sentiment Analysis applied to social media data has gradually become one of the significant research interest in the data mining domain due to the large volume of data available on social media networks. Sentiment Analysis is concerned with analyzing text to identify opinions or emotions and categorizing them as positive, negative or neutral. Applying sentiment analysis to short texts such as Twitter messages is a challenging task because tweets might contain a combination of formal and informal language, special characters, emojis and symbols. Therefore, it is often difficult to understand the semantics of the text and it is complex to extract the proper emotions expressed by users. In this paper, sentiment analysis approaches, namely: lexicon-based and machine learning approaches, are applied and evaluated on an Arabic tweets dataset (short texts) regarding the Syrian civil war and crises. Th...

E-Government is becoming ever more active in terms of improving the provision of services to citi... more E-Government is becoming ever more active in terms of improving the provision of services to citizens from a citizen-centred perspective, in which online services and information are delivered to citizens on a personalised basis. Some developed governments have started to offer personalised services through their official portals. However, the personalised services that are offered are mostly limited to static customisation and are therefore far from achieving effective citizen-centred eGovernment services. Furthermore, delivering personalised online services that match the different needs and interests of government users is a challenge for e-Government, specifically in connection with the increasing information and services that are offered through the medium of government portals. Therefore, more advanced and intelligent eGovernment systems are desirable. Personalisation techniques, particularly in the form of recommender systems, are promising to provide better solutions to supp...

Current conventional search engines deliver similar results to all users for the same query. Beca... more Current conventional search engines deliver similar results to all users for the same query. Because of the variety of user interests and preferences, personalized search engines, based on semantics, hold the promise of providing more efficient information that better reflects users’ needs. The main feature of building a personalized web search is to represent user interests in terms of user profiles. This paper proposes a personalized search approach using an ontology-based user profile. The aim of this approach is to build user profiles based on user browsing behavior and semantic knowledge of specific domain ontology to enhance the quality of the search results. The proposed approach utilizes a re-ranked algorithm to sort the results returned by the search engine to provide a search result that best relates to the user query. This algorithm evaluates the similarity between a user query, the retrieved search results and the ontological concepts. This similarity is computed by taki...

Online Social Networks(OSNs) have established virtual platforms enabling people to express their ... more Online Social Networks(OSNs) have established virtual platforms enabling people to express their opinions, interests and thoughts in a variety of contexts and domains, allowing legitimate users as well as spammers and other untrustworthy users to publish and spread their content. Hence, the concept of social trust has attracted the attention of information processors/data scientists and information consumers/business firms. One of the main reasons for acquiring the value of Social Big Data (SBD) is to provide frameworks and methodologies using which the credibility of OSNs users can be evaluated. These approaches should be scalable to accommodate large-scale social data. Hence, there is a need for well comprehending of social trust to improve and expand the analysis process and inferring the credibility of SBD. Given the exposed environment's settings and fewer limitations related to OSNs, the medium allows legitimate and genuine users as well as spammers and other low trustwort...

International Journal of Networking and Virtual Organisations, 2021

Journal of the American Society of Nephrology, 2000

αB-crystallin and heat shock protein (hsp) 25 are structurally and functionally related small str... more αB-crystallin and heat shock protein (hsp) 25 are structurally and functionally related small stress proteins induced by a variety of insults, including heat and ischemia. Cytoprotection by these two hsp is thought to result from molecular chaperoning and/or cytoskeletal stabilization. Because renal ischemia is characterized by disruption of the renal tubular cell actin cytoskeleton, this study was conducted to determine the localization and quantify the expression and phosphorylation of both hsp in renal cortex, isolated glomeruli, outer medulla, and inner medulla of rats after bilateral renal ischemia. Sham-operated kidneys had similarly small amounts of hsp25 and αB-crystallin in cortex and glomeruli, with substantially greater amounts of αB-crystallin versus hsp25 in outer and inner medulla. Ischemia resulted in significantly increased hsp25 (and hsp70i) but variable αB-crystallin levels in cortex and outer medulla, and progressively decreased glomerular hsp25 phosphorylation. I...

ICT Express, 2020

Abstract In this paper, an alternative approach to select base classifiers forming a parallel Het... more Abstract In this paper, an alternative approach to select base classifiers forming a parallel Heterogeneous ensemble is proposed. The fundamental concept is to trim poorly performing classifiers; thus, a more effective Heterogeneous ensemble can be generated. More specifically, the proposed trimming approach finds an optimal subset of classifiers to form the desired heterogeneous ensemble. The main challenge is how to detect poor performance classifiers. To address this issue, the differences in effectiveness between base classifiers forming the ensemble are utilized to spot weak classifiers. For evaluating the proposed approach, eighteen benchmark datasets are used for generating the heterogeneous ensemble classification and comparisons with the state-of-the-art methods are conducted. The experimental analysis demonstrated the effectiveness and superiority of the proposed approach when compared to other state-of-the-art approaches.

International Journal of Business Information Systems, 2020

Stress intensity factor has been a favorite tool in fracture mechanics due to its simplicity. Her... more Stress intensity factor has been a favorite tool in fracture mechanics due to its simplicity. Here, it is used to study the influence of the shot peening application in fatigue life improvement. Using a CT-specimen, the study of shot peening effect on fatigue life was performed. Here, the compressive residual stress is converted into residual stress intensity factor, K res.. Together with the applied stress intensity factor, K apl. , the superposition principle can be used. The result of the investigation clarifies quantitatively what has been widely believed that one of the easiest ways to improve fatigue life is by perfecting the surface via shot peening. Compressive stresses are beneficial not only in postponing fatigue crack initiation but also in preventing the crack propagation, which lead to increasing fatigue strength.

Journal of Big Data, 2020

Online social networks have established virtual platforms enabling people to express their opinio... more Online social networks have established virtual platforms enabling people to express their opinions, interests and thoughts in a variety of contexts and domains, allowing legitimate users as well as spammers and other untrustworthy users to publish and spread their content. Hence, it is vital to have an accurate understanding of the contextual content of social users, thus establishing grounds for measuring their social influence accordingly. In particular, there is the need for a better understanding of domain-based social trust to improve and expand the analysis process and determining the credibility of Social Big Data. The aim of this paper is to determine domain-based social influencers by means of a framework that incorporates semantic analysis and machine learning modules to measure and predict users’ credibility in numerous domains at different time periods. The evaluation of the experiment conducted herein validates the applicability of semantic analysis and machine learnin...

Integrative Clinical Medicine, 2018

Background: Helicobacter pylori is considered the most common bacteria worldwide with a prevalenc... more Background: Helicobacter pylori is considered the most common bacteria worldwide with a prevalence about 50% in developed countries and can reach up to 80-90% in developing countries. The first line agent for eradication of H. pylori has always been the classic triple therapy. However, recent data has shown the decline of the efficacy of this regimen due to antibiotics resistance. In Lebanon, due to the scarcity of data over the resistance rate of antibiotics and the efficacy of triple therapy, our study proposed a retrospective analysis of the eradication rate of H. pylori by classic triple therapy in the South of Lebanon between 2007 and 2014. Materials and methods: A total of 168 patients were found eligible for the inclusion criteria in an 8-year data retrieval. The factors studied were (obesity, age, gender and smoking). The included patients received either one of the classic triple therapy regimens for 7, 10, or 14 days with no previous eradication, and followed up by at least one month after treatment with Urea breath test. Results: 61.9% of patients were found to be sensitive to triple therapy, whereas 38.1% were resistant. There was no statistical significance between gender, age, and smoking history, method of diagnosis or type of triple therapy with p > 0.05. Adherence to treatment was good. No adverse effects were reported. Conclusions: Our results showed suboptimal eradication rate by triple therapy. Thus, triple therapy should no more be considered the first line therapy for H. pylori eradication in Lebanon.

International Journal of Computer Applications in Technology, 2019

User acceptance of technology is considered as one of the core fields in Human Computer Interacti... more User acceptance of technology is considered as one of the core fields in Human Computer Interaction (HCI) domain. The rapid development of mobile technologies during the last decade is playing a great role in the evolution of mobile learning applications. Hence, the main purpose of this study is to empirically explore and predict determinants that affect students' behavioural intention to accept m-learning using multi-analytical analyses: neural network and Multiple Linear Regression (MLR) models. This study applied neural network to provide further understanding of m-learning adoption based on a non-linear model. The data were collected through an online survey distributed to the undergraduate and graduate students at the University of Jordan. According to the analyses, the findings of this research show that the neural network model is a better choice than the multiple regression model to predict determinants of m-learning adoption and captured the non-linear relationship. The Artificial Neural Network (ANN) model results indicate that all the determinants are significant including, at some level, demographic variables. The MLR model results indicate that among the determinants only performance expectancy, efforts expectancy and social influence are significant to predict m-learning adoption.

International Journal of Computational Intelligence Systems, 2019

Information retrieval systems like web search engines can be used to meet the user's information ... more Information retrieval systems like web search engines can be used to meet the user's information needs by searching and retrieving the relevant documents that match the user's query. Firstly, the query is inputted to the web search engine and assumed to be a good representative for the user's intention and reflecting specifically his information needs and thus it should be long enough, discriminative, specific and unambiguous. Secondly, the web search engine typically respond to the query by sending back a long flat list of web search results and each search result represents a relevant document. Typically, that list may contain thousands or millions of web search results and thus it is difficult to navigate and locate a specific document relevant to a specific topic. As a postretrieval process, web search results clustering may be a solution for this issue where web search results can be categorized as clusters. These clusters supposed to contain topically related documents and labelled by descriptive and concise labels. These labels supposed to correctly describe the contents of each cluster. Thus the users can easily choose a cluster representing the intended topic and navigate through relatively few documents inside that cluster. High-quality labelling for clusters is crucial for users who can now gain insight into that clusters' contents, general structure, and distribution of the topics among documents in the clusters. This make the user able to preview and navigate easily and fast. To this end, the authors in this paper introduced a methodology to enhance labels for clusters of web search results. The proposed methodology is founded on the idea of using the existing labels nominated by the original Suffix Tree Clustering (STC) algorithm and adapting these labels and/or clusters so that it become more concise and descriptive. The propose methodology was conducted on the original STC algorithm to produce an enhanced version of the classical STC algorithm. The enhanced algorithm was experimented and the produced clusters and labels were evaluated and compared with respect to the classical STC algorithm. For evaluation, the authors used clusters labelling performance measure considered five parameters f1: Comprehensibility, f2: Descriptiveness, f3: Discriminative Power, f4: Uniqueness, and f5: Nonredundancy. The reported results shown that the new enhanced labels outperformed the original labels and the overall performance has been enhanced. The recorded results indicated that: (i) The proposed methodology achieved better performance and the overall average recorded values for the used performance measure (f6) was 0.921. (ii) Number of clusters was decreased from 15 to 9 clusters only. (iii) Number of duplicated results was decreased from 143 to 121 only, and (iv) average number of phrases per label was increased from 1.67 to 2.00 phrases.