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Enhanced Heap-Based Optimizer Algorithm for Solving Team Formation Problem

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Computers, Materials & Continua 2022年第12期73卷 5245-5268页

作者： Nashwa Nageh Ahmed Elshamy Abdel wahab Said Hassan Mostafa Sami Mustafa abdul Salam Faculty of Science Suez Canal UniversityIsmailiaEgypt Faculty of Computers and Artificial Intelligence Helwan UniversityHelwanEgypt Faculty of Computers and Artificial Intelligence Benha UniversityBenha 13518Egypt Faculty of Computer Studies Arab Open UniversityCairoEgypt

Team Formation(TF)is considered one of the most significant problems in computer science and *** is defined as forming the best team of experts in a social network to complete a task with least *** real-world problems,such as task assignment,vehicle routing,nurse scheduling,resource allocation,and airline crew scheduling,are based on the TF *** has been shown to be a Nondeterministic Polynomial time(NP)problem,and high-dimensional problem with several local optima that can be solved using efficient approximation *** paper proposes two improved swarm-based algorithms for solving team formation *** first algorithm,entitled Hybrid Heap-Based Optimizer with Simulated Annealing Algorithm(HBOSA),uses a single crossover operator to improve the performance of a standard heap-based optimizer(HBO)*** also employs the simulated annealing(SA)approach to improve model convergence and avoid local minima *** second algorithm is the Chaotic Heap-based Optimizer Algorithm(CHBO).CHBO aids in the discovery of new solutions in the search space by directing particles to different regions of the search *** HBO’s optimization process,a logistic chaotic map is *** performance of the two proposed algorithms(HBOSA)and(CHBO)is evaluated using thirteen benchmark functions and tested in solving the TF problem with varying number of experts and ***,the proposed algorithms were compared to well-known optimization algorithms such as the Heap-Based Optimizer(HBO),Developed Simulated Annealing(DSA),Particle SwarmOptimization(PSO),GreyWolfOptimization(GWO),and Genetic Algorithm(GA).Finally,the proposed algorithms were applied to a real-world benchmark dataset known as the Internet Movie Database(ImdB).The simulation results revealed that the proposed algorithms outperformed the compared algorithms in terms of efficiency and performance,with fast convergence to the global minimum.

关键词： Team formation problem optimization problem genetic algorithm heap-based optimizer simulated annealing hybridization method chaotic local search

Social Engineering Attack Classifications on Social Media Using Deep Learning

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Computers, Materials & Continua 2023年第3期74卷 4917-4931页

作者： Yichiet Aun Ming-Lee Gan Nur Haliza Binti abdul wahab Goh Hock Guan Faculty of Information and Communication Technology Universiti Tunku Abdul RahmanPerakMalaysia Faculty of Engineering Universiti Teknologi MalaysiaJohorMalaysia

In defense-in-depth,humans have always been the weakest link in ***,unlike common threats,social engineering poses vulnerabilities not directly quantifiable in penetration *** skilled social engineers trick users into giving up information voluntarily through attacks like phishing and *** Engineering(SE)in social media is structurally similar to regular posts but contains malicious intrinsic meaning within the sentence *** this paper,a novel SE model is trained using a Recurrent Neural Network Long Short Term Memory(RNN-LSTM)to identify well-disguised SE threats in social media *** use a custom dataset crawled from hundreds of corporate and personal Facebook ***,the social engineering attack detection pipeline(SEAD)is designed to filter out social posts with malicious intents using domain ***,each social media post is tokenized into sentences and then analyzed with a sentiment analyzer before being labelled as an anomaly or normal training ***,we train an RNN-LSTM model to detect five types of social engineering attacks that potentially contain signs of information *** experimental result showed that the Social Engineering Attack(SEA)model achieves 0.84 in classification precision and 0.81 in recall compared to the ground truth labeled by network *** experimental results showed that the semantics and linguistics similarities are an effective indicator for early detection of SEA.

关键词： Social engineering attack cybersecurity machine learning(ML) artificial neural network(ANN) random forest classifier decision tree(DT)classifier

Experimental and theoretical investigation of high-entropy-alloy/support as a catalyst for reduction reactions

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Journal of Energy Chemistry 2023年第6期81卷 132-142,I0005页

作者： Wail Al Zoubi Bassem Assfour abdul wahab Allaf Stefano Leoni Jee-Hyun Kang Young Gun Ko Materials Electrochemistry Laboratory School of Materials Science and EngineeringYeungnam UniversityGyeongsan 38541Republic of Korea Atomic Energy Commission Department of ChemistryP.O.Box 6091DamascusSyria Arab International University Department of Pharmaceutical Chemistry and Quality ControlFaculty of PharmacyGhabaghibDarraSyria Cardiff University School of ChemistryPark PlaceCF103AT CardiffUnited Kingdom School of Materials Science and Engineering Institute of Materials TechnologyYeungnam UniversityGyeongsan 38541Republic of Korea

Control of chemical composition and incorporation of multiple metallic elements into a single metal nanoparticle(NP)in an alloyed or a phase-segregated state hold potential scientific merit;however,developing libraries of such structures using effective strategies is challenging owing to the thermodynamic immiscibility of repelling constituent metallic ***,we present a one-pot interfacial plasma-discharge-driven(IP-D)synthesis strategy for fabricating stable high-entropy-alloy(HEA)NPs exhibiting ultrasmall size on a porous support ***,an electric field was applied for 120 s to enhance the incorporation of multiple metallic elements(i.e.,CuAgFe,CuAgNi,and CuAgNiFe)into ally ***,NPs were attached to a porous magnesium oxide surface via rapid *** solar light as the sole energy input,the CuAgNiFe catalyst was investigated as a reusable and sustainable material exhibiting excellent catalytic performance(100%conversion and 99% selectivity within1 min for a hydrogenation reaction)and consistent activity even after 20 cycles for a reduction reaction,considerably outperforming the majority of the conventional ***,the proposed strategy establishes a novel method for designing and synthesizing highly efficient and stable catalysts for the convertion of nitroarenes to anilines via chemical reduction.

关键词： Plasma Miscible Multicomponent Metal nanoparticle Nanocatalysts

Effects of pre-sowing treatments on seed germination of Melia azedarach

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Journal of Forestry Research 2010年第2期21卷 193-196,I0006页

作者： md.Salim Azad md.Zedan-Al-musa md.abdul Matin Forestry and Wood Technology Discipline Khulna University Centre for Tropical and Subtropical Agriculture and Forestry(CeTSAF) Georg-August-University

A germination experiment of pre-treated seeds of Melia azedarach was conducted in the nursery of Forestry and Wood Technology Discipline,Khulna University,*** seeds of Melia azedarach were collected from healthy trees of National Botanical Garden,Bangladesh and were treated with five pre-sowing treatments（control,immersion in cold water,immersion in hot water,scarification with sand paper,and immersion in concentrated H2SO4） on seed *** revealed that the germination rates of pre-sowing treated seeds were significantly increased compared to those in control,except for cold water *** highest germination success（80%） was found in scarification with sand paper,followed by 74% and 69% in immersion in H2SO4 and hot water treatment,*** started on 8-11 days and completed on 20-21 days of the germination period in all *** of variance showed the significance difference in germination success among the treatments but no significance difference in germination period among the *** water treatment may be recommended on seed germination of the species in rural Bangladesh.

关键词： germination Melia azedarach pre-sowing treatment seed

Disseminated strongyloidiasis in an immunocompromised host:A case report

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Asian Pacific Journal of Tropical Biomedicine 2017年第6期7卷 587-590页

作者： Nurul Suhaiza Hassanudin Zubaidah abdul wahab Khalid Ibrahim Fadzilah Mohd Nor Microbiology Unit Department of PathologyHospital Sg.Buloh Director Office Hospital Sg.Buloh Microbiology Discipline Faculty of MedicineUniversiti Teknologi MARASg.Buloh CampusJalan Hospital Integrative Pharmacogenomics Institute (iPROMISE) Level 7FF3Universiti Teknologi MARAPuncak Alam Campus

Infections caused by Strongyloides stercoralis(***) in human are generally asymptomatic,however in immunocompromised individual,hyperinfection may develop with dissemination of larvae to extra-intestinal *** diagnosis could be easily missed due to asymptomatic presentation and insufficient exposure towards the infection itself,which may lead to low index of suspicion as a *** this report,a case of a Malaysian male with underlying diabetes mellitus,hypertension,cerebrovascular accident,bullous pemphigus and syndrome of inappropriate antidiuretic hormone secretion who initially complained of generalized body weakness and poor appetite without any history suggestive of sepsis is ***,he developed septicemic shock later,and *** larvae was incidentally found in the tracheal aspirate that was sent to look for acid fast *** of aggressive resuscitation,the patient succumbed due to pulmonary hemorrhage and acute respiratory distress *** was revealed that the current case has alarmed us via incidental finding of *** larvae in the tracheal aspirate,indicating that the importance of the disease should be emphasized in certain parts of the world and population respectively.

关键词： Disseminated strongyloidiasis Immunocompromised host Hyperinfection Strongyloides stercoralis

Cat Swarm with Fuzzy Cognitive Maps for Automated Soil Classification

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Computer Systems Science & Engineering 2023年第2期44卷 1419-1432页

作者： Ashit Kumar Dutta Yasser Albagory Manal Al Faraj Majed Alsanea abdul Rahaman wahab Sait Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityAd DiriyahRiyadh13713Kingdom of Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Kingdom of Saudi Arabia Department of Computing Arabeast CollegesRiyadh11583Kingdom of Saudi Arabia Department of Archives and Communication King Faisal UniversityAl AhsaHofuf31982Kingdom of Saudi Arabia

Accurate soil prediction is a vital parameter involved to decide appro-priate crop,which is commonly carried out by the *** an auto-mated soil prediction tool helps to considerably improve the efﬁcacy of the *** the same time,fuzzy logic(FL)approaches can be used for the design of predictive models,particularly,Fuzzy Cognitive Maps(FCMs)have involved the concept of uncertainty representation and cognitive *** other words,the FCM is an integration of the recurrent neural network(RNN)and FL involved in the knowledge engineering *** this aspect,this paper introduces effective fuzzy cognitive maps with cat swarm optimization for automated soil classiﬁca-tion(FCMCSO-ASC)*** goal of the FCMCSO-ASC technique is to identify and categorize seven different types of *** accomplish this,the FCMCSO-ASC technique incorporates local diagonal extrema pattern(LDEP)as a feature extractor for producing a collection of feature *** addition,the FCMCSO model is applied for soil classiﬁcation and the weight values of the FCM model are optimally adjusted by the use of CSO *** exam-ining the enhanced soil classiﬁcation outcomes of the FCMCSO-ASC technique,a series of simulations were carried out on benchmark dataset and the experimen-tal outcomes reported the enhanced performance of the FCMCSO-ASC technique over the recent techniques with maximum accuracy of 96.84%.

关键词： Soil classiﬁcation intelligent models fuzzy cognitive maps cat swarm optimization fuzzy logic

Comparative Thermal Performance in SiO_(2)–H_(2)O and (MoS_(2)–SiO_(2))–H_(2)O Over a Curved Stretching Semi-Infinite Region: A Numerical Investigation

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Computers, Materials & Continua 2021年第1期66卷 947-960页

作者： Basharat Ullah Umar Khan Hafiz abdul wahab Ilyas Khan Dumitru Baleanu Kottakkaran Sooppy Nisar Department of Mathematics and Statistics Hazara UniversityMansehra21120Pakistan Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh City72915Vietnam Department of Mathematics Cankaya UniversityAnkaraTurkey Institute of Space Sciences Magurele077125Romania Department of Medical Research China Medical University HospitalChina Medical UniversityTaichungTaiwan Department of Mathematics College of Arts and SciencesWadi Aldawaser11991Prince Sattam Bin Abdulaziz UniversityAl KharjSaudi Arabia

The investigation of Thermal performance in nanofluids and hybrid nanofluids over a curved stretching infinite region strengthens its roots in engineering and ***,the comparative thermal analysis in SiO_(2)–H_(2)O and(MoS_(2)–SiO_(2))–H_(2)O is conducted over curved stretching *** model is reduced in the dimensional version via similarity transformation and then treated *** velocity and thermal behavior for both the fluids is decorated against the preeminent *** the analysis,it is examined that the motion of under consideration fluids declines against Fr and.The thermal performance enhances for higher volumetric fraction and.Further,it is noticed that thermal performance prevailed in(MoS_(2)–SiO_(2))–H_(2)O throughout the ***,(MoS_(2)–SiO_(2))–H_(2)O is better for industrial and engineering uses where high heat transfer is required to accomplished different processes of production.

关键词： Thermal performance curved surface SiO_(2)–H_(2)O and(MoS_(2)–SiO_(2))–H_(2)O shear stresses Nusselt number numerical scheme

Optimal Machine Learning Enabled Performance Monitoring for Learning Management Systems

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Computer Systems Science & Engineering 2023年第3期44卷 2277-2292页

作者： Ashit Kumar Dutta Mazen Mushabab Alqahtani Yasser Albagory abdul Rahaman wahab Sait Majed Alsanea Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityAd Diriyah13713RiyadhKingdom of Saudi Arabia Physical Therapy Department Majmaah UniversityMajmaah11952Kingdom of Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Kingdom of Saudi Arabia Department of Archives and Communication King Faisal UniversityAl Ahsa31982HofufKingdom of Saudi Arabia Department of Computing Arabeast CollegesRiyadh11583Kingdom of Saudi Arabia

Learning Management System(LMS)is an application software that is used in automation,delivery,administration,tracking,and reporting of courses and programs in educational *** LMS which exploits machine learning(ML)has the ability of accessing user data and exploit it for improving the learning *** recently developed artificial intelligence(AI)and ML models helps to accomplish effective performance monitoring for *** the different processes involved in ML based LMS,feature selection and classification processesfind *** this motivation,this study introduces Glowworm-based Feature Selection with Machine Learning Enabled Performance Monitoring(GSO-MFWELM)technique for *** key objective of the proposed GSO-MFWELM technique is to effectually monitor the performance in *** pro-posed GSO-MFWELM technique involves GSO-based feature selection techni-que to select the optimal ***,Weighted Extreme Learning Machine(WELM)model is applied for classification process whereas the parameters involved in WELM model are optimallyfine-tuned with the help of May-fly Optimization(MFO)*** design of GSO and MFO techniques result in reduced computation complexity and improved classification *** presented GSO-MFWELM technique was validated for its performance against benchmark dataset and the results were inspected under several *** simulation results established the supremacy of GSO-MFWELM technique over recent approaches with the maximum classification accuracy of 0.9589.

关键词： Learning management system data mining performance monitoring machine learning feature selection

Nanohybrid membrane in algal-membrane photoreactor: Microalgae cultivation and wastewater polishing

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Chinese Journal of Chemical Engineering 2019年第11期27卷 2799-2806页

作者： Woon Chan Chong abdul wahab Mohammad Ebrahim Mahmoudi Ying Tao Chung Kamrul Fakir Kamarudin Mohd Sobri Takriff Chemical Engineering Programme Faculty of Engineering and Built EnvironmentUniversiti Kebangsaan Malaysia43600 BangiSelangorMalaysia Department of Chemical Engineering Lee Kong Chian Faculty of Engineering and ScienceUniversiti Tunku Abdul RahmanJalan Sungai LongBandar Sungai LongCheras43000 KajangSelangorMalaysia Research Center for Sustainable Process Technology(CESPRO) Faculty of Engineering and Built EnvironmentUniversiti Kebangsaan Malaysia43600 BangiSelangorMalaysia Department of Chemical Engineering and Petroleum Engineering Faculty of EngineeringTechnology and Built EnvironmentUCSI UniversityNo.1Jalan Menara GadingUCSI HeightsCheras56000 Kuala LumpurMalaysia

Microalgae cultivation has gained tremendous attention in recent years due to its great potential in green biofuel production and wastewater treatment application. Membrane technology is a great solution in separating the microalgae biomass while producing high quality of permeate for recycling. The main objective of this study was to investigate the filtration performance of Ag/GO-PVDF(silver/graphene oxide-polyvinylidene fluoride) membrane in an algalmembrane photoreactor(A-MPR) by benchmarking with a commercial PVDF(com-PVDF) membrane. In this study, Chlorella vulgaris microalgae was cultivated in synthetic wastewater in an A-MPR for ammoniacal-nitrogen and phosphorus recovery and the wastewater was further filtered using Ag/GO-PVDF and com-PVDF membranes to obtain high quality water. Spectrophotometer was used to analyze the chemical oxidation demand(COD), ammoniacal nitrogen(NH3-N) and phosphate(PO43-). The concentration of proteins and carbohydrates was measured using Bradford method and phenol-sulfuric acid method, respectively. The COD of the synthetic wastewater was reduced from(180.5 ± 5.6) ppm to(82 ± 2.6) ppm due to nutrient uptake by microalgae. Then, the Ag/GO-PVDF membrane was used to further purify the microalgae cultivated wastewater, resulting in a low COD permeate of(31 ± 4.6) ppm. The high removal rate of proteins(100%) and carbohydrates(86.6%) as the major foulant in microalgae filtration, with low membrane fouling propensity of Ag/GO-PVDF membrane is advantageous for the sustainable development of the microalgae production. Hence, the integrated A-MPR system is highly recommended as a promising approach for microalgae cultivation and wastewater polishing treatment.

关键词： Algal-membrane photoreactor Nanohybrid membrane Wastewater polishing Microalgal cultivation Nutrient recovery