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E-Commerce Fraud Detection Based on machine Learning Techniques:Systematic Literature Review

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Big Data mining and Analytics 2024年第2期7卷 419-444页

作者： abed mutemi Fernando Bacao NOVA Information management School(NOVA ImS) Universidade Nova de LisboaCampus de CampolideLisboa 1070-312Portugal

The e-commerce industry’s rapid growth,accelerated by the COVID-19 pandemic,has led to an alarming increase in digital fraud and associated *** establish a healthy e-commerce ecosystem,robust cyber security and anti-fraud measures are ***,research on fraud detection systems has struggled to keep pace due to limited real-world *** in artificial intelligence,machine Learning(mL),and cloud computing have revitalized research and applications in this *** mL and data mining techniques are popular in fraud detection,specific reviews focusing on their application in e-commerce platforms like eBay and Facebook are lacking *** reviews provide broad overviews but fail to grasp the intricacies of mL algorithms in the e-commerce *** bridge this gap,our study conducts a systematic literature review using the Preferred Reporting Items for Systematic reviews and meta-Analysis(PRISmA)*** aim to explore the effectiveness of these techniques in fraud detection within digital marketplaces and the broader e-commerce *** the current state of the literature and emerging trends is crucial given the rising fraud incidents and associated *** our investigation,we identify research opportunities and provide insights to industry stakeholders on key mL and data mining techniques for combating e-commerce *** paper examines the research on these techniques as published in the past *** the PRISmA approach,we conducted a content analysis of 101 publications,identifying research gaps,recent techniques,and highlighting the increasing utilization of artificial neural networks in fraud detection within the industry.

关键词： E-commerce machine Learning(mL) systematic review fraud detection organized retail fraud

movement Trend Alterations in the Periaqueductal Gray(PAG)-Employed Ratbot Navigation Are Correlated with Stimulation Parameters

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Journal of Bionic Engineering 2024年第2期21卷 866-876页

作者： Sina Khajei abed Khorasani mohammad Reza Afarinesh Vahid Sheibani Neuroscience Research Center Institute of NeuropharmacologyKerman University of Medical SciencesKerman***Iran Cognitive Neuroscience Research Center Institute of NeuropharmacologyKerman University of Medical SciencesKerman***Iran

In previous studies,Periaqueductal Gray(PAG)stimulation was used to stop ratbots from *** to the homology between the PAG and the intercollicular nucleus,which has been used for forward movement in birds,we investigated the possibility of PAG application to induce forward locomotion for the first *** a corridor maze,the traveled distances via PAG electrical stimulation were examined in nine wistar male rats during three sessions.A custom-designed stimulator was developed to apply the *** results showed reductions in responses to stimulation over ***,the traveled distances had negative slopes during the consecutive trials(in 8 out of the 9 rats),and the slope mean was significantly different from *** was a strong correlation between the stimulation parameters(electric Charge per Phase(CPP)and the Number of Pulses(NP))and the observed *** negative movement Slopes(mS)were highly correlated with the CPP and the NP,as the Pearson's linear correlation coefficients were−0.87 and−0.79,*** mS-CPP coefficients of determination(R-squared)were also between 0.76 and *** addition,the mS-NP coefficients of determination were between 0.63 and ***,it is concluded that the electrical stimulation parameters influence the behavioral outcomes ***,the PAG area may be considered a suitable candidate for forward locomotion control in the future if the area is harnessed effectively to prevent undesirable chaotic behaviors.

关键词： Periaqueductal Gray(PAG) Navigation Ratbot Animal-robot Forward locomotion movement slope

Gonorrhea cluster detection in manitoba,Canada:Spatial,temporal,and spatio-temporal analysis

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Infectious Disease modelling 2024年第4期9卷 1045-1056页

作者： Amin abed mahmoud Torabi Zeinab mashreghi Department of Community Health Sciences University of ManitobaWinnipegManitobaR3E 0W3Canada Department of mathematics and Statistics University of WinnipegWinnipegManitobaR3B 2E9Canada

In Canada,Gonorrhea infection ranks as the second most prevalent sexually transmitted *** 2018,manitoba reported an incidence rate three times greater than the national *** study aims to investigate the spatial,temporal,and spatio-temporal patterns of Gonorrhea infection in manitoba,using individual-level laboratory-confirmed administrative data provided by manitoba Health from 2000 to *** and sex patterns indicate that females are affected by infections at younger ages compared to ***,there is an increase in repeated infections in 2016,accounting for 16%of the total *** analysis at the 96 manitoba regional health authority districts highlights significant positive spatial autocorrelation,demonstrating a clustered distribution of the *** districts of manitoba and central winnipeg were identified as significant *** analysis shows seasonal patterns,with higher infections in late summer and ***,spatio-temporal analysis reveals clusters during high-risk periods,with the most likely cluster in the northern districts of manitoba from January 2006 to June 2014,and a secondary cluster in central winnipeg from June 2004 to November *** study identifies that Gonorrhea infection transmission in manitoba has temporal,spatial,and spatio-temporal *** findings provide vital insights for public health and manitoba Health by revealing high-risk clusters and emphasizing the need for focused and localized prevention,control measures,and resource allocation.

关键词： Cluster detection Gonorrhea Infectious disease Spatial analysis Spatio-temporal analysis

An efficient tool for Parkinson's disease detection and severity grading based on time-frequency and fuzzy features of cumulative gait signals through improved LSTm networks

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medicine in Novel Technology and Devices 2024年第2期22卷 38-50页

作者： Farhad abedinzadeh Torghabeh Yeganeh modaresnia Seyyed abed Hosseini Department of Biomedical Engineering Mashhad BranchIslamic Azad UniversityMashhadIran Department of Electrical Engineering Mashhad BranchIslamic Azad UniversityMashhadIran

Parkinson's disease(PD)is a widespread neurodegenerative condition that affects many individuals *** identification and monitoring of disease progression are crucial to effectively managing symptoms and preventing motor *** research proposes an automated PD diagnosis and severity-grading model based on time-frequency and fuzzy features using improved uni-directional and bi-directional long short-term memory networks with sensitive hyperparameters *** utilize vertical ground reaction force signals collected from Physionet's publicly available dataset recorded during regular and dual-task clinical trials of walking *** the cumulative signal of both feet was then utilized and segmented into 30-s windows without further ***,we extracted only four key time-frequency and fuzzy features from each segment,effectively capturing the signal's inherent *** optimization is employed in both detection and grading approaches to fine-tune the two critical hyperparameters:the initial learning rate and the number of hidden units in the *** detection phase yields an exceptional accuracy of 99.19%,surpassing state-of-the-art studies with the same *** the grading phase,classification based on the unified PD rating scale values achieves an accuracy of 92.28%.The proposed study delves into the potential of cumulative gait signals as a powerful diagnostic tool for PD,aiming to extract precise and intricate information by implementing straightforward and minimal processing *** method demonstrates significant effi-ciency in terms of complexity,cost,and energy consumption by utilizing a single-dimensional signal,eliminating the need for pre-processing steps,and limiting the features used for training.

关键词： Parkinson's disease grading Cumulative gait signal Vertical ground reaction force fuzzy feature Bayesian optimization Long short-term memory

Tensile Strain Capacity Prediction of Engineered Cementitious Composites (ECC) Using Soft Computing Techniques

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Computer modeling in Engineering & Sciences 2024年第3期138卷 2925-2954页

作者： Rabar H.Faraj Hemn Unis Ahmed Hardi Saadullah Fathullah Alan Saeed Abdulrahman Farid abed Civil Engineering Department University of HalabjaHalabjaIraq University of Sulaimani College of EngineeringCivil Engineering DepartmentSulaimaniIraq Civil Engineering Department Komar University of Science and TechnologySulaimaniIraq Department of Engineering Kurdistan Institution for Strategic Studies and Scientific ResearchesSulaimaniIraq Department of Civil Engineering American University of SharjahSharjah26666UAE

Plain concrete is strong in compression but brittle in tension,having a low tensile strain capacity that can significantly degrade the long-term performance of concrete structures,even when steel reinforcing is *** order to address these challenges,short polymer fibers are randomly dispersed in a cement-based matrix to forma highly ductile engineered cementitious composite(ECC).Thismaterial exhibits high ductility under tensile forces,with its tensile strain being several hundred times greater than conventional *** concrete is inherently weak in tension,the tensile strain capacity(TSC)has become one of the most extensively researched *** a result,developing a model to predict the TSC of the ECC and to optimize the mixture proportions becomes ***,the effort required for laboratory trial batches to determine the TSC is *** achieve the research objectives,five distinct models,artificial neural network(ANN),nonlinear model(NLR),linear relationship model(LR),multi-logistic model(mLR),and m5P-tree model(m5P),are investigated and employed to predict the TSCof ECCmixtures containing fly *** from115 mixtures are gathered and analyzed to develop a new *** input variables include mixture proportions,fiber length and diameter,and the time required for curing the various *** model’s effectiveness is evaluated and verified based on statistical parameters such as R2,mean absolute error(mAE),scatter index(SI),root mean squared error(RmSE),and objective function(OBJ)***,the ANN model outperforms the others in predicting the TSC of the ECC,with RmSE,mAE,OBJ,SI,and R2 values of 0.42%,0.3%,0.33%,0.135%,and 0.98,respectively.

关键词： Engineered cementitious composites fly ash curing time tensile strain capacity modeling

An Investigation into Forced Convection of a Nanofluid Flowing in a Rectangular microchannel under the Influence of a magnetic Field

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Fluid Dynamics & materials Processing 2024年第2期20卷 311-323页

作者： muataz S.Alhassan Ameer A.Alameri Andrés Alexis Ramírez-Coronel I.B.Sapaev Azher m.abed David-Juan Ramos-Huallpartupa Rahman S.Zabibah Division of Advanced Nanomaterial Technologies Scientific Research CenterAl-Ayen UniversityThi-QarIraq Department of Chemistry College of ScienceUniversity of BabylonBabylonIraq Research Group in Educational Statistics National University of EducatiosnAzoguesEcuador Department Physics and Chemistry Tashkent Institute of Irrigation and Agricultural Mechanization EngineersNational Research UniversityTashkentUzbekistan Akfa University TashkentUzbekistan New Uzbekistan University TashkentUzbekistan Department of Airconditioning and Refrigeration Engineering Al-Mustaqbal University CollegeHilla51001Iraq Academic Department of Agro-Industrial Engineering and Technology Universidad Nacional JoséMaría ArguedasApurimacPerú The Islamic University NajafIraq

In line with recent studies,where it has been shown that nanoﬂuids containing graphene have a stronger capacity to boost the heat transfer coefﬁcient with respect to ordinary nanoﬂuids,experiments have been conducted using water with cobalt ferrite/graphene *** particular,a circular channel made of copper subjected to a constant heatﬂux has been *** nanoparticles are sensitive to the presence of a magneticﬁeld,different conditions have been examined,allowing both the strength and the frequency of such aﬁeld to span relatively wide ranges and assuming different concentrations of *** to theﬁndings,the addition of nanoparticles to theﬂuid causes its rotation speed to increase by a factor of two,whereas ultraviolet radiation plays a negligible *** amount of time required to attain the maximum rotation speed of the nanoﬂuid and the Nusselt number have been measured under both constant and alternating magneticﬁelds for a ferroﬂuid with a concentration of 0.5%and atﬂow Reynolds number of 550 and 1750.

关键词： Nano fluid rectengular tube magnetic field

Aminated Cyclopropylmethylphosphonates as Potent Prostate Cancer Inhibitors

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Journal of Biosciences and medicines 2024年第7期12卷 239-244页

作者： abed Al Aziz Al Quntar Ibrahim Abasy Department of Chemistry and Chemical Technology Faculty of Science and Technology Al-Quds University Jerusalem Palestine Department of microbiology and Immunology Al-Quds University Jerusalem Palestine

Inspired by the anti-pancreatic promising results of our novel aminated cyclopropylmethylphosphonate compounds, an in vitro anti-prostate cancer activity exploration of these compounds was carried out on human prostate cancer cell line PC-3, and showed potent inhibiting activity at low micromolar concentrations (with an IC50 of approximately 45 μm).

关键词： Prostate Cancer Cancer Cyclopropylphophonates Aminophosphonates Cyclopropanes Phosphonates Alkynylphosphonates Anti-Cancer Prostate

A new hydrophobic deep eutectic solvent composed of menthol and tris(2-ethylhexyl) phosphate for solvent bar microextraction of parabens from biological fluids

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Emerging Contaminants 2024年第2期10卷 135-145页

作者： Nabil N.AL-Hashimi Husam abed Alfattah Khaleel I.Assaf Asma A.Fakhoury Saja H.Hamed Amjad H.El-Sheikh Khairi m.Fahelelbom The Hashemite University Faculty of Pharmaceutical SciencesDepartment of Pharmaceutical ChemistryP.O.Box 330127Zarqa13133Jordan The Hashemite University Faculty of ScienceDepartment of ChemistryP.O.Box 150459Zarqa13115Jordan Al-Balqa Applied University Faculty of ScienceDepartment of Chemistry19117 Al-SaltJordan The Hashemite University Faculty of Pharmaceutical SciencesDepartment of Pharmaceutics and Pharmaceutical TechnologyP.O.Box 330127Zarqa13133Jordan Al Ain University College of PharmacyDepartment of Pharmaceutical SciencesP.O.Box 64141Al AinAl AinUnited Arab Emirates

Parabens are antimicrobial preservatives with extensive applications in cosmetics,toiletries,pharmaceuticals,and *** the legitimate concerns relating to their potential to disrupt multiple endocrine functions,it becomes imperative to prioritize the development of innovative bioanalytical techniques for effectively monitoring their presence in biological *** this study,an efficient solvent bar microextraction(SBmE)was established,utilizing new hydrophobic deep eutectic solvents(DEs)to determine methylparaben and propylparaben in urine and plasma *** DEs comprising menthol and tris(2-ethylhexyl)phosphate(m-TEHP)at various molar ratios were synthesized for the first time to enhance the extraction capacity and promote the eco-friendliness of the DE used as an extraction ***-transform infrared(FT-IR)and proton nuclear magnetic resonance(1H NmR)spectroscopies were employed to confirm and investigate the properties of the successful synthesis(m-TEHP)DE at a molar ratio of 1:*** synthesized DE exhibits low microbial toxicity and can be considered an eco-friendly solvent for ***,quantum-chemical calculations were utilized to predict synthesized DE's structure and interaction energy with selected *** influential operational factors of DE-SBmE on the extraction efficiency(EE%)of both parabens were evaluated using response surface methodology based on central composite design,and a total of 30 extraction tests were conducted to determine the optimal *** optimized DE-SBmE,in combination with HPLC-DAD,exhibited low detection limits(0.54–0.91μg L^(−1)),excellent linearity(R^(2)≥0.9993),precise results(RSDs≤7.6%),satisfactory recoveries(92–97%)and negligible matrix ***,it had remarkable effectiveness and applicability in determining selected parabens in real urine and plasma samples.

关键词： Hydrophobic deep eutectic solvent Solvent bar microextraction Parabens Response surface methodology and central composite design HPLC-DAD Urine and plasma

Developing a two-decadal time-record of rice field maps using Landsat-derived multi-index image collections with a random forest classifier:A Google Earth Engine based approach

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Information Processing in Agriculture 2024年第2期11卷 260-275页

作者： w.Ashane m.Fernando I.P.Senanayake Department of Nano Science Technology Wayamba University of Sri LankaKuliyapitiya 60200Sri Lanka Dchoolf Engineing CllegeoEngineeringSience and EnionmentThe UniversyewcastleCallaghanW2Austraia

Historic maps showing the temporal distribution of rice fields are important for precision agriculture,irrigation optimisation,forecasting crop yields,land use management and formulating ***,mapping rice felds using traditional ground surveys is impractical when high cost,time and labour requirements are considered,and the availability of such detailed records is *** satellite remote sensing appears to be a viable solution,conventional segmentation and classification methods with spectral bands are often unable to contrast the distinct characteristics between rice fields and other vegetation *** this end,we explored a novel,Google Earth Engine(GEE)based multiindex random forest(RF)classification approach to map rice fields over two *** images from 2000 to 2020 of two Sri Lankan rice cultivation districts were extracted from GEE and a multi-index RF classification algorithm was applied to distinguish the rice *** results showed above 80%accuracy for both training and validation,when compared against high spatial resolution Google Earth *** essence,multi-index sampling and RF together synergised the compelling classifcation accuracy by effectively capturing vegetation,water(ponding)and soil characteristics unique to the rice felds using a single-click *** maps developed in this study were further compared against the mODIS land cover type product(mCD12Q1)and the corresponding superior statistics on rice fields demonstrated the robustness of the proposed *** work seeking effective index combinations is recommended,and this approach can potentially be extended to other crop analyses elsewhere.

关键词： Google Earth Engine(GEE) Image classification Random forest mapping rice fields Time series analysis Vegetation index