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Submarine Hunter: Efficient and Secure Multi-Type Unmanned Vehicles

Computers, Materials & Continua 2023年第7期76卷 573-589页

作者： Halah Hasan Mahmoud marwan kadhim mohammed al-shammari Gehad Abdullah Amran Elsayed Tag eldin ala R.alareqi Nivin A.Ghamry Ehaa A.Lnajjar Esmail almosharea Computer Center University of BaghdadBaghdad6751Iraq Department of Management Science and Engineering Dalian University of TechnologyLiaoningDalian116024China Department of Information Technology Faculty of Computer Sciences and Information Technology AL Razi UniversitySana’aYemen Faculty of Engineering and Technology Future University in EgyptNew Cairo11835Egypt Faculty of Engineering Mechanics Dalian University of TechnologyLiaoningDalian116024China Faculty of Computers and Artificial Intelligence Cairo UniversityGizaEgypt Department of Business Administration Dalian University of TechnologyLiaoningDalian116024China College of Software Engineering Dalian University of TechnologyChina

Utilizing artificial intelligence(AI)to protect smart coastal cities has become a novel vision for scientific and industrial *** of these AI technologies is using efficient and secure multi-environment Unmanned Vehicles(UVs)for anti-submarine *** study’s contribution is the early detection of a submarine assault employing hybrid environment UVs that are controlled using swarm optimization and secure the information in between UVs using a decentralized cybersecurity *** Dragonfly algorithm is used for the orientation and clustering of the UVs in the optimization approach,and the Re-fragmentation strategy is used in the Network layer of the TCP/IP protocol as a cybersecurity *** research’s noteworthy findings demonstrate UVs’logistical capability to promptly detect the target and address the problem while securely keeping the drone’s geographical *** results suggest that detecting the submarine early increases the likelihood of averting a *** dragonfly strategy of sensing the position of the submersible and aggregating around it demonstrates the reliability of swarm intelligence in increasing access *** communication between Unmanned Aerial Vehicles(UAVs)improves the level of secrecy necessary for the *** swarm navigation is based on a peer-to-peer system,which allows each UAV to access information from its ***,in turn,helps the UAVs to determine the best route to take and to avoid collisions with other *** dragonfly strategy also increases the speed of the mission by minimizing the time spent finding the target.

关键词： Unmanned vehicles unmanned aerial vehicles unmanned underwater vehicles high altitude unmanned aerial vehicles anti-submarine warfare re-fragmentation dragonfly algorithm

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Kaoline-based catalyst for a high stability desulfurization of sour heavy naphtha in a three-phase oscillatory baffled reactor

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Particuology 2024年第1期84卷 249-260页

作者： Hassan M.Hmood Saba A.Gheni Safaa M.R.Ahmed Mudheher M.ali Hamid Yonis Saleh mohammed H.mohammed Awad E.mohammed marwan A.Mahomood Hiba R.mohammed Ahmed A.Hassan Adam Harvey North Refineries Company Ministry of OilIraq Chemical Engineering Department Tikrit UniversityIraq Ministry of Oil Iraq al-Hawija Technical Institute Northern Technical UniversityMoselIraq School of Engineering Newcastle UniversityUK

To meet the rapidly increasing demand for energy and the dramatic depletion of conventional crude oil,it is imperative to utilize sour *** no coke being produced,oxidative desulfurization(ODS)of naphtha lowers its sulfur content and average molecular *** this article,we outline a method for heavy naphtha non-extractive ODS using a very stable *** technique involves the use of a solid catalyst with oxygen gas as the *** necessitated relatively high mixing intensities;hence a three-phase Oscillatory Baffled Reactor(OBR)was *** catalyst was based on the zeolite ZSM-5,prepared from natural kaolin by a series of delamination and activation steps and impregnated with Fe.A TiO2 nanolayer was applied,using the sol-gel method,to prevent rapid *** reactor performance was evaluated to minimize the sulfur content in the naphtha *** to the protective coating,the sulfur conversion stabilized at 90%.The results of this work establish the use of natural clay-based catalysts in a continuous,three-phase ODS,particularly with regard to proving long-term *** also showed that modest ODS can be achieved using an environmentally friendly oxidant,at mild operating conditions,whilst maintaining stability.

关键词： Natural kaoline Desulfurization Three-phase Oscillatory baffled reactor

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Phishing Attacks Detection Using EnsembleMachine Learning algorithms

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Computers, Materials & Continua 2024年第7期80卷 1325-1345页

作者： Nisreen Innab Ahmed Abdelgader Fadol Osman mohammed Awad mohammed Ataelfadiel marwan Abu-Zanona Bassam Mohammad Elzaghmouri Farah H.Zawaideh Mouiad Fadeil alawneh Department of Computer Science and Information Systems College of Applied SciencesAlmaarefa UniversityDiriyahRiyadh13713Saudi Arabia Applied College King Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Management Information Systems College of Business AdministrationKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Computer Science Faculty of Computer Science and Information TechnologyJerash UniversityJerash26110Jordan Department of Business Intelligence and Data Analysis Faculty of Financial Sciences and BusinessIrbid National UniversityIrbid21110Jordan Faculty of Information Technology Ajloun National UniversityAjloun26767Jordan

Phishing,an Internet fraudwhere individuals are deceived into revealing critical personal and account information,poses a significant risk to both consumers and web-based *** indicates a persistent rise in phishing ***,these fraudulent schemes are progressively becoming more intricate,thereby rendering them more challenging to ***,it is imperative to utilize sophisticated algorithms to address this *** learning is a highly effective approach for identifying and uncovering these harmful *** learning(ML)approaches can identify common characteristics in most phishing *** this paper,we propose an ensemble approach and compare it with six machine learning techniques to determine the type of website and whether it is normal or not based on two phishing *** that,we used the normalization technique on the dataset to transform the range of all the features into the same *** findings of this paper for all algorithms are as follows in the first dataset based on accuracy,precision,recall,and F1-score,respectively:Decision Tree(DT)(0.964,0.961,0.976,0.968),Random Forest(RF)(0.970,0.964,0.984,0.974),Gradient Boosting(GB)(0.960,0.959,0.971,0.965),XGBoost(XGB)(0.973,0.976,0.976,0.976),AdaBoost(0.934,0.934,0.950,0.942),Multi Layer Perceptron(MLP)(0.970,0.971,0.976,0.974)and Voting(0.978,0.975,0.987,0.981).So,the Voting classifier gave the best *** in the second dataset,all the algorithms gave the same results in four evaluation metrics,which indicates that each of them can effectively accomplish the prediction ***,this approach outperformed the previous work in detecting phishing websites with high accuracy,a lower false negative rate,a shorter prediction time,and a lower false positive rate.

关键词： Social engineering attacks phishing attacks machine learning security artificial intelligence

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New topological and non-topological unidirectional-wave solutions for the modifie d-mixe d KdV equation and bidirectional-waves solutions for the Benjamin Ono equation using recent techniques

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Journal of Ocean Engineering and Science 2022年第2期7卷 163-169页

作者： marwan alquran mohammed ali Hammad Jadallah Department of Mathematics and Statistics Jordan University of Science&TechnologyIrbid 22110Jordan

In this paper,new explicit unidirectional wave solutions for the modified-mixed KdV equation and bidi-rectional waves for the Benjamin Ono equation are *** extension of the rational sine-cosine and sinh-cosh methods are *** addition,an extension of the recent polynomial function method is applied as *** types of topological and non-topological soliton solutions are extracted to the proposed models and categorized by providing 2D and 3D ***,some physical properties of the new bidirectional waves solutions to the Benjamin Ono model are discussed.

关键词： Single-wave solutions Two-waves solutions Extended rational sine-cosine method Extended rational sinh-cosh method Polynomial-function method

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A Multi-Stream Scrambling and DNA Encoding Method Based Image Encryption

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Computer Systems Science & Engineering 2023年第11期47卷 1321-1347页

作者： Nashat Salih Abdulkarim alsandi Dilovan Asaad Zebari Adel al-Zebari Falah Y.H.Ahmed Mazin Abed mohammed marwan albahar Abdulaziz ali albahr Information Technology Duhok Private Technical InstituteDuhokIraq Department of Computer Science College of ScienceNawroz UniversityDuhok42001Iraq Department of Information Technology Technical College of Informatics AkreDuhok Polytechnic UniversityDuhokIraq Faculty of Computing and Information Technology Sohar UniversityOman College of Computer Science and Information Technology University of AnbarAnbar31001Iraq Department of Science Umm Al Qura UniversityP.O.Box 715MeccaSaudi Arabia College of Applied Medical Sciences King Saud Bin Abdulaziz University for Health SciencesAl Ahsa31982Saudi Arabia King Abdullah International Medical Research Center Al-Ahsa36276Saudi Arabia

Information security has emerged as a key problem in encryption because of the rapid evolution of the internet and ***,the progress of image encryption techniques is becoming an increasingly serious issue and considerable *** space of the key,encryption-based low confidentiality,low key sensitivity,and easily exploitable existing image encryption techniques integrating chaotic system and DNA computing are purposing the main problems to propose a new encryption technique in this *** our proposed scheme,a three-dimensional Chen’s map and a one-dimensional Logistic map are employed to construct a double-layer image encryption *** the confusion stage,different scrambling operations related to the original plain image pixels are designed using Chen’s map.A stream pixel scrambling operation related to the plain image is ***,a block scrambling-based image encryption-related stream pixel scrambled image is *** the diffusion stage,two rounds of pixel diffusion are generated related to the confusing image for intra-image ***’s map,logistic map,and DNA computing are employed to construct diffusion operations.A reverse complementary rule is applied to obtain a new form of DNA.A Chen’s map is used to produce a pseudorandom DNA sequence,and then another DNA form is constructed from a reverse pseudorandom DNA ***,the XOR operation is performed multiple times to obtain the encrypted *** to the simulation of experiments and security analysis,this approach extends the key space,has great sensitivity,and is able to withstand various typical *** adequate encryption effect is achieved by the proposed algorithm,which can simultaneously decrease the correlation between adjacent pixels by making it near zero,also the information entropy is *** number of pixels changing rate(NPCR)and the unified average change intensity(UACI)both are very near to optimal values.

关键词： Grayscale image encryption stream scrambling-confusion DNA encoding XOR operation chaotic systems

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Artificial Intelligence Based Sentence Level Sentiment Analysis of COVID-19

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Computer Systems Science & Engineering 2023年第10期47卷 791-807页

作者： Sundas Rukhsar Mazhar Javed Awan Usman Naseem Dilovan Asaad Zebari Mazin Abed mohammed marwan ali albahar mohammed Thanoon Amena Mahmoud Department of Software Engineering University of Management and TechnologyLahore54770Pakistan School of Computer Science The University of SydneySydneyAustralia Department of Computer Science College of ScienceNawroz UniversityDuhok42001Kurdistan RegionIraq College of Computer Science and Information Technology University of AnbarAnbar31001Iraq Department of Computer Science Umm Al Qura UniversityMecca24211Saudi Arabia Computer Science Department Faculty of Computers and InformationKafrelsheikh UniversityKafrelsheikhEgypt

Web-blogging sites such as Twitter and Facebook are heavily influenced by emotions,sentiments,and data in the modern ***,a widely used microblogging site where individuals share their thoughts in the form of tweets,has become a major source for sentiment *** recent years,there has been a significant increase in demand for sentiment analysis to identify and classify opinions or expressions in text or *** or expressions of people about a particular topic,situation,person,or product can be identified from sentences and divided into three categories:positive for good,negative for bad,and neutral for mixed or confusing *** process of analyzing changes in sentiment and the combination of these categories is known as“sentiment analysis.”In this study,sentiment analysis was performed on a dataset of 90,000 tweets using both deep learning and machine learning *** deep learning-based model long-short-term memory(LSTM)performed better than machine learning *** short-term memory achieved 87%accuracy,and the support vector machine(SVM)classifier achieved slightly worse results than LSTM at 86%.The study also tested binary classes of positive and negative,where LSTM and SVM both achieved 90%accuracy.

关键词： COVID-19 artificial intelligence machine learning deep learning sentimental analysis support vector classifier

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Simple Quantitation of Flucytosine in Low Volume Serum Samples and Evaluation of Common Endogenous Interferences by HPLC-UV

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American Journal of Analytical Chemistry 2022年第9期13卷 289-299页

作者： Abdul Rafiq Khan ali alothaim Waleed Tamimi Majid alshaibani Souad marwan al Enazi Syed Muhammad Saad Khalid mohammed Khan Department of Pathology and Laboratory Medicine King Abdulaziz Medical City Riyadh KSA Department of Chemistry University of Karachi Karachi Pakistan H. E. J. Research Institute of Chemistry International Center for Chemical and Biological Sciences University of Karachi Karachi Pakistan

5-Fluorocytosine (5-FC) is used for the treatment of several infections. It is extremely important to monitor blood level concentration for maximum activity to avoid its side effects. A simple, faster, and more accurate analytical method is developed and validated using high-performance liquid chromatography with UV detection in a very low-volume serum sample. Exactly 50 μL of serum was precipitated with 5% trichloroacetic acid. After mixing and centrifugation, 20 μL of supernatant was injected into the HPLC column. Detection was performed at 280 nm. The method is very specific and free from interfering substances due to different drugs and their different circulating metabolites. The limit of detection (LOD) and limit of quantification (LOQ) were found to be 0.50 μg/L and 1.0 μg/L, respectively. The method was linear in the range of 5 - 150 μg/L in the serum sample. In method comparison, the correlation coefficient r2 was 0.999 and the percentage recovery was 90% - 105% on four levels of the quality control samples. Within run and between run precision was found to be less than 2.2% at four different concentrations (5, 25, 50, and 100 μg/L). A simple, faster, and more accurate HPLC-UV method is developed which is very useful for monitoring 5-FC concentration in low volume serum samples without evaporation step and ion exchange chromatography within minutes.

关键词： 5-Fluorocytosine Serum Sample HPLC-UV Method Quantification Validation

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Toward Robust Classifiers for PDF Malware Detection

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Computers, Materials & Continua 2021年第11期69卷 2181-2202页

作者： marwan albahar mohammed Thanoon Monaj alzilai alaa alrehily Munirah alfaar Maimoona algamdi Norah alassaf College of Computers in al-Leith Umm Al Qura UniversityMakkahSaudi Arabia

Malicious Portable Document Format(PDF)files represent one of the largest threats in the computer security *** research has been done using handwritten signatures and machine learning based on detection via manual feature *** approaches are time consuming,require substantial prior knowledge,and the list of features must be updated with each newly discovered vulnerability *** this study,we propose two models for PDF malware *** first model is a convolutional neural network(CNN)integrated into a standard deviation based regularization model to detect malicious PDF *** second model is a support vector machine(SVM)based ensemble model with three different *** two models were trained and tested on two different *** experimental results show that the accuracy of both models is approximately 100%,and the robustness against evasive samples is ***,the robustness of the models was evaluated with malicious PDF documents generated using *** models can distinguish the different vulnerabilities exploited in malicious files and achieve excellent performance in terms of generalization ability,accuracy,and robustness.

关键词： Malicious PDF classification robustness guiding principles convolutional neural network new regularization

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Risk and predictors of severity and mortality in patients with type 2 diabetes and COVID-19 in Dubai

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World Journal of Diabetes 2023年第8期14卷 1259-1270页

作者： Fatheya alawadi alaaeldin Bashier Azza Abdulaziz Bin Hussain Nada al-Hashmi Fawzi al Tayb Bachet Mohamed Mahmoud aly Hassanein marwan Abdelrahim Zidan Rania Soued Amar Hassan Khamis Debasmita Mukhopadhyay Fatima Abdul Aya Osama Fatima Sulaiman Muhammad Hamed Farooqi Riad Abdel Latif Bayoumi Department of Endocrinology Dubai Academic Health CorporationDubaiUnited Arab Emirates Department of Medical Education and Research Dubai Academic Health CorporationDubaiUnited Arab Emirates Department of Radiology Mediclinic City HospitalDubaiUnited Arab Emirates College of Medicine Mohamed Bin Rashid University of Medicine and Health SciencesDubaiUnited Arab Emirates Dubai Diabetes Center Dubai Academic Health CorporationDubaiUnited Arab Emirates Basic Medical Sciences College of MedicineMohammed Bin Rashid University of Medicine and Health SciencesDubaiUnited Arab Emirates

BACKGROUND Globally,patients with diabetes suffer from increased disease severity and mortality due to coronavirus disease 2019(COVID-19).Old age,high body mass index(BMI),comorbidities,and complications of diabetes are recognized as major risk factors for infection severity and *** To investigate the risk and predictors of higher severity and mortality among inhospital patients with COVID-19 and type 2 diabetes(T2D)during the first wave of the pandemic in Dubai(March–September 2020).METHODS In this cross-sectional nested case-control study,a total of 1083 patients with COVID-19 were *** study included 890 men and 193 *** these,427 had T2D and 656 were *** clinical,radiographic,and laboratory data of the patients with and without T2D were *** predictors of mortality in COVID-19 non-survivors were identified in patients with and without *** T2D patients with COVID-19 were older and had higher BMI than those without *** had higher rates of comorbidities such as hypertension,ischemic heart disease,heart failure,and more life-threatening *** laboratory parameters of disease severity were significantly higher than in those without ***,these patients had a longer hospital stay and a significantly higher mortality *** died from COVID-19 at a rate three times higher than patients *** laboratory and radiographic severity indices in non-survivors were high in patients with and without *** the univariate analysis of the predictors of mortality among all COVID-19 non-survivors,significant associations were identified with old age,increased white blood cell count,lymphopenia,and elevated serum troponin *** multivariate analysis,only lymphopenia was identified as an independent predictor of mortality among T2D *** Patients with COVID-19 and T2D were older with higher BMI,more comorbidities,higher disease severity indices,more severe proinflamma

关键词： Type 2 diabetes COVID-19 Risk factors Mortality United Arab Emirates

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Effect of Combined Therapy on Colistin Resistant <i>Pseudomonas aeruginosa</i>: An <i>in Vitro</i>Study

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Advances in Microbiology 2019年第10期9卷 877-892页

作者： Nuzhath Fatima Amany marwan alkhansa Anwar Aymen Madhkhali Nahed ali Areej Gadi Amany Hasnany Razan Hassan Hamali Mousa ali Ayyashi Yahya Hobani Department of Medical Laboratory Technology College of Applied Medical Sciences Jazan University Jazan KSA College of Applied Medical Sciences Jazan University Jazan KSA Prince mohammed Bin Nasser Hospital Jazan KSA

Pseudomonas aeruginosa is known for its antibiotic resistance to the clinicians. The infections caused by this pathogen are hard to treat because of its highly versatile property to mutate and acquire drug resistance. Pseudomonas aeruginosa also possesses intrinsic property of resistance to certain antibiotics like tetracyclines. However;in a practice to overcome the problem of multi drug resistance, clinicians restored the use of some antibiotics that were previously been used to treat the Pseudomonal infections;but they were discontinued because of its toxic effects. Colistin is an example of one such antibiotic. Use of Colistin was barred for its neurotoxicity. However in recent clinical trials, Colistin was reintroduced to fight with this superbug. Sadly in recent years, Pseudomonas aeruginosa developed resistance to Colistin as well. Therefore combined therapy is an alternate and suitable treatment to overcome the infections caused by multidrug-resistant Pseudomonas aeruginosa. The present study is an in vitro study;in which we tested synergy between two antibiotics namely streptomycin and Colistin on 29 clinical isolates of P. aeruginosa collected from hospitals in Jazan city KSA. The combination of two drugs showed synergistic activity on 55.1% of tested strains, while 20.6% strains had partial synergy, whereas indifferent synergy was observed in 13.8% strains and the 6.8% of strains had additive synergy. In addition to this, the drugs when combined also showed antagonism on one strain (3.44%). The present study showed synergistic action on Colistin-resistant Pseudomonas aeruginosa to greater extent (55.1%) by the two tested drugs. Hence Colistin and streptomycin can be used as a suitable combination therapy (in vivo) to treat multidrug resistant P. aeruginosa infections.

关键词： “MDR”—Multidrug Resistant “MIC”—Minimum Inhibitory Concentration “FICI”—Fractional Inhibitory Concentration Index “MHB”—Muller Hinton Broth Pseudomonas aeruginosa

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