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Computers, Materials & Continua 2024年第2期78卷 2535-2555页

作者： saba awan Zahid Mehmood Department of Software Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Computer Engineering University of Engineering and TechnologyTaxila47050Pakistan

Highway safety researchers focus on crash injury severity,utilizing deep learning—specifically,deep neural networks(DNN),deep convolutional neural networks(D-CNN),and deep recurrent neural networks(D-RNN)—as the preferred method for modeling accident *** learning’s strength lies in handling intricate relation-ships within extensive datasets,making it popular for accident severity level(ASL)prediction and *** prior success,there is a need for an efficient system recognizing ASL in diverse road *** address this,we present an innovative Accident Severity Level Prediction Deep Learning(ASLP-DL)framework,incorporating DNN,D-CNN,and D-RNN models fine-tuned through iterative hyperparameter selection with Stochastic Gradient *** framework optimizes hidden layers and integrates data augmentation,Gaussian noise,and dropout regularization for improved *** and factor contribution analyses identify influential *** on three diverse crash record databases—NCDB 2018–2019,UK 2015–2020,and US 2016–2021—the D-RNN model excels with an ACC score of 89.0281%,a Roc Area of 0.751,an F-estimate of 0.941,and a Kappa score of 0.0629 over the NCDB *** proposed framework consistently outperforms traditional methods,existing machine learning,and deep learning techniques.

关键词： Injury severity prediction deep learning feature

Profiling Casualty Severity Levels of Road Accident Using Weighted Majority Voting

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Computers, Materials & Continua 2022年第6期71卷 4609-4626页

作者： saba awan Zahid Mehmood Hassan Nazeer Chaudhry Usman Tariq Amjad Rehman Tanzila saba Muhammad Rashid Department of Software Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Computer Engineering University of Engineering and TechnologyTaxila47050Pakistan Department of Electronics Information and BioengineeringPolitecnico di MilanoMilano20122Italy College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia College of Computer and Information Sciences Prince Sultan UniversityRiyadhSaudi Arabia Department of Computer Engineering Umm Al-Qura UniversityMakkah21421Saudi Arabia

To determine the individual circumstances that account for a road traffic accident,it is crucial to consider the unplanned connections amongst various factors related to a crash that results in high casualty *** of the road accident data concentrated mainly on categorizing accidents into different types using individually built classification methods which limit the prediction accuracy and fitness of the *** this article,we proposed a multi-model hybrid framework of the weighted majority voting(WMV)scheme with parallel structure,which is designed by integrating individually implemented multinomial logistic regression(MLR)and multilayer perceptron(MLP)classifiers using three different accident datasets i.e.,IRTAD,NCDB,and *** proposed WMV hybrid scheme overtook individual classifiers in terms of modern evaluation measures like ROC,RMSE,Kappa rate,classification accuracy,and performs better than state-of-theart approaches for the prediction of casualty severity ***,the proposed WMV hybrid scheme adds up to accident severity analysis through knowledge representation by revealing the role of different accident-related factors which expand the risk of casualty in a road *** aspects related to casualty severity recognized by the proposed WMV hybrid approach can surely support the traffic enforcement agencies to develop better road safety plans and ultimately save lives.

关键词： Prediction hybrid framework severity class casualty

Analysis of b→cτν¯_(τ)anomalies using weak effective Hamiltonian with complex couplings and their impact on various physical observables

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Chinese Physics C 2024年第8期48卷 56-75页

作者： Muhammad Arslan Tahira Yasmeen saba Shafaq Ishtiaq Ahmed Muhammad Jamil Aslam Department of Physics Quaid-i-Azam UniversityIslamabad 45320Pakistan Department of Physics International Islamic UniversityIslamabad 44000Pakistan National Center for Physics Islamabad 44000Pakistan

Recently,the experimental measurements of the branching ratios and different polarization asymmetries for processes occurring through flavor-changing-charged current(b→cτν¯_(τ))transitions by BABAR,Belle,and LHCb have revealed some significant differences from the corresponding Standard Model(SM)*** has triggered an interest to search for physics beyond the SM in the context of various new physics(NP)models and using the model-independent weak effective Hamiltonian(WEH).Assuming left-handed neutrinos,we add the dimension-six vector,(pseudo-)scalar,and tensor operators with complex Wilson coefficients(WCs)to the SM *** 60%,30%,and 10%constraints resulting from the branching ratio of B_(c)→τν¯_(τ),we reassess the parametric space of these new physics WCs accommodating the current anomalies based on the most recent HFLAV data of R_(τ/μ,e)(D)and R_(τ/μ,e)(D^(*))and Belle data of F_(L)(D^(*))and P_(τ)(D^(*)).We find that the allowed parametric region of left-handed scalar couplings strongly depends on the constraints of the B_(c)→τν¯_(τ)branching ratio,and the maximum pull from the SM predictions results from the<60%branching ratio ***,the parametric region changes significantly if we extend the analysis by adding LHCb data of R_(τ/μ)(J/ψ)and R_(τ/ℓ)(Λ_(c)).Furthermore,due to the large uncertainties in the measurements of R_(τ/μ)(J/ψ)and R_(τ/ℓ)(X_(c)),we derive the sum rules which complement them with R_(τ/μ,e)(D)and R_(τ/μ,e)(D^(*)).Using the best-fit points of the new complex WCs along with the latest measurements of R_(τ/μ,e)(D(^(*))),we predict the numerical values of the observable R_(τ/ℓ)(Λ_(c)),R_(τ/μ)(J/ψ),and R_(τ/ℓ)(X_(c))from the sum *** simultaneous dependence of abovementioned physical observables on the NP WCs is established by plotting their correlation with R_(D) and R_(D^(*)),which are useful to discriminate between various NP *** find that the most significant impact of NP results from the WC C^(S)_(L)=4C^(T).Fi

关键词： B meson anomalies new physics complex coupling HFLAV

Image Fusion Using Wavelet Transformation and XGboost Algorithm

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Computers, Materials & Continua 2024年第4期79卷 801-817页

作者： Shahid Naseem Tariq Mahmood Amjad Rehman Khan Umer Farooq Samra Nawazish Faten S.Alamri Tanzila saba Department of Information Sciences Division of S&TUniversity of EducationLahore54770Pakistan Artificial Intelligence and Data Analytics(AIDA)Lab CCIS Prince Sultan UniversityRiyadh11586Saudi Arabia Faculty of Information Sciences University of EducationVehari CampusVehari61100Pakistan Department of Computer Science University of Engineering and TechnologyTaxila47050Pakistan Department of Mathematical Sciences College of SciencePrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Recently,there have been several uses for digital image *** fusion has become a prominent application in the domain of imaging *** create one final image that provesmore informative and helpful compared to the original input images,image fusion merges two or more initial images of the same *** fusion aims to produce,enhance,and transform significant elements of the source images into combined images for the sake of human visual *** fusion is commonly employed for feature extraction in smart robots,clinical imaging,audiovisual camera integration,manufacturing process monitoring,electronic circuit design,advanced device diagnostics,and intelligent assembly line robots,with image quality varying depending on *** research paper presents various methods for merging images in spatial and frequency domains,including a blend of stable and curvelet transformations,everageMax-Min,weighted principal component analysis(PCA),HIS(Hue,Intensity,Saturation),wavelet transform,discrete cosine transform(DCT),dual-tree Complex Wavelet Transform(CWT),and multiple wavelet *** fusion methods integrate data from several source images of an identical target,thereby enhancing information in an extremely efficient *** precisely,in imaging techniques,the depth of field constraint precludes images from focusing on every object,leading to the exclusion of certain *** tackle thess challanges,a very efficient multi-focus wavelet decomposition and recompositionmethod is *** use of these wavelet decomposition and recomposition techniques enables this method to make use of existing optimized wavelet code and filter *** simulated outcomes provide evidence that the suggested approach initially extracts particular characteristics from images in order to accurately reflect the level of clarity portrayed in the original *** study enhances the performance of the eXtreme Gradient Boosting(XGBoos

关键词： Image fusion max-min average CWT XGBoost DCT inclusive innovations spatial and frequency domain

Outsmarting Android Malware with Cutting-Edge Feature Engineering and Machine Learning Techniques

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Computers, Materials & Continua 2024年第4期79卷 651-673页

作者： Ahsan Wajahat Jingsha He Nafei Zhu Tariq Mahmood Tanzila saba Amjad Rehman Khan Faten S.A.lamri Faculty of Information Technology Beijing University of TechnologyBeijing100124China Artificial Intelligence and Data Analytics(AIDA)Lab CCIS Prince Sultan UniversityRiyadh11586Saudi Arabia Faculty of Information Sciences University of EducationVehari CampusVehari61100Pakistan Department of Mathematical Sciences College of SciencePrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia

The growing usage of Android smartphones has led to a significant rise in incidents of Android malware andprivacy *** escalating security concern necessitates the development of advanced technologies capableof automatically detecting andmitigatingmalicious activities in Android applications(apps).Such technologies arecrucial for safeguarding user data and maintaining the integrity of mobile devices in an increasingly digital *** methods employed to detect sensitive data leaks in Android apps are hampered by two major limitationsthey require substantial computational resources and are prone to a high frequency of false *** meansthat while attempting to identify security breaches,these methods often consume considerable processing powerand mistakenly flag benign activities as malicious,leading to inefficiencies and reduced reliability in *** proposed approach includes a data preprocessing step that removes duplicate samples,managesunbalanced datasets,corrects inconsistencies,and imputes missing values to ensure data *** Minimaxmethod is then used to normalize numerical data,followed by feature vector extraction using the Gain ratio andChi-squared test to identify and extract the most significant characteristics using an appropriate prediction *** study focuses on extracting a subset of attributes best suited for the task and recommending a predictivemodel based on domain expert *** proposed method is evaluated using Drebin and TUANDROMDdatasets containing 15,036 and 4,464 benign and malicious samples,*** empirical result shows thatthe RandomForest(RF)and Support VectorMachine(SVC)classifiers achieved impressive accuracy rates of 98.9%and 98.8%,respectively,in detecting unknown Androidmalware.A sensitivity analysis experiment was also carriedout on all three ML-based classifiers based on MAE,MSE,R2,and sensitivity parameters,resulting in a flawlessperformance for both *** app

关键词： Android malware detection machine learning SVC K-Nearest Neighbors(KNN) RF

Governance in the exploration of global and regional determinants of ICT development

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International Journal of Innovation Studies 2024年第2期8卷 132-153页

作者： Charles S.saba Simplice A.Asongu Nicholas Ngepah Yolande E.Ngoungou School of Economics College of Business and EconomicsUniversity of JohannesburgJohannesburgSouth Africa Department of Econornic&Data Science New Uzbekistan University54 Mustaili AvenueTashkent100007Uzbekistan University of Yaounde 2 SoaCameroon

The present study assesses how governance affects information and communication technology(IcT)at the global level contingent on macroeconomic policy factors such as trade,foreign direct investment(FDI),manufacturing value added,and agricultural value *** study focuses on 183 countries from 2003 to 2021,and the empirical evidence is based on the generalized method of moments(GMM).The following main findings are *** the full sample,governance unconditionally promotes ICT development,while trade openness(industrial added value)moderates governance to promote(dampen)ICT *** sub-Saharan Africa,only trade openness effectively moderates governance to induce an overall positive effect on ICT,while in the Middle East and North Africa(MENA)region,all policy variables moderate governance for an overall positive incidence on ICT sector *** findings for the MENA region are confirmed in the Europe and Central Asia(ECA)region,with the exception of the moderating role of industrial added value,which engenders an overall negative *** the East and South Asia and the Pacific(ESAP)countries,one overall positive incidence is apparent in the role of trade openness,while net negative effects are established from the moderating roles of industrial added value and agricultural added *** the American sub-sample,a positive(negative)net effect is apparent from the role of industrial added value(trade)in moderating the incidence of gover-nance on ICT sector ***,policy implications are discussed.

关键词： ICT Governance Trade FDI Industry Agriculture

Analysis of b→cτ■ anomalies using weak effective Hamiltonian with complex couplings and their impact on various physical observables

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Chinese Physics C 2024年第8期 59-78页

作者： Muhammad Arslan Tahira Yasmeen saba Shafaq Ishtiaq Ahmed Muhammad Jamil Aslam Department of Physics Quaid-i-Azam University Department of Physics International Islamic University National Center for Physics

Recently,the experimental measurements of the branching ratios and different polarization asymmetries for processes occurring through flavor-changing-charged current（b→cτvτ）transitions by BABAR,Belle,and LHCb have revealed some significant differences from the corresponding Standard Model（SM） *** has triggered an interest to search for physics beyond the SM in the context of various new physics（NP） models and using the model-independent weak effective Hamiltonian（WEH）.Assuming left-handed neutrinos,we add the dimension-six vector,（pseudo-）scalar,and tensor operators with complex Wilson coefficients（WCs） to the SM *** 60%,3 0%,and 10% constraints resulting from the branching ratio of Bc→τvτ,we reassess the parametric space of these new physics WCs accommodating the current anomalies based on the most recent HFLAV data of Rτ/μ,e（D） and Rτ/μ,e（D*） and Belle data of FL（D*） and Pτ（D*）.We find that the allowed parametric region of lefthanded scalar couplings strongly depends on the constraints of the Bc→τvτbranching ratio,and the maximum pull from the SM predictions results from the <60% branching ratio ***,the parametric region changes significantly if we extend the analysis by adding LHCb data of Rτ/μ（J/ψ） and Rτ/l（Λc）.Furthermore,due to the large uncertainties in the measurements of Rτ/μ（J/ψ） and Rτ/l（Xc）,we derive the sum rules which complement them with Rτ/μ,e（D） and Rτ/μ,e（D*）.Using the best-fit points of the new complex WCs along with the latest measurements of Rτ/μ,e(D（*）),we predict the numerical values of the observable Rτ/l（Λc）,Rτ/μ（J/ψ）,and Rτ/l（Xc） from the sum *** simultaneous dependence of abovementioned physical observables on the NP WCs is established by plotting their correlation with RDand RD*,which are useful to discriminate between various NP *** find that the most significant impact of NP results from the WC CLS=***,we study the impact of these NP couplings on various angular and CP triple product asym

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Metabolic puzzle: Exploring liver fibrosis differences in Asian metabolic-associated fatty liver disease subtypes

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World Journal of Hepatology 2024年第1期16卷 54-64页

作者： Sabhita Shabir Shaikh Fakhar Ali Qazi-Arisar saba Nafay Sidra Zaheer Hafeezullah Shaikh Zahid Azam National Institute of Liver and GI Diseases Dow University of Health SciencesSindhKarachi 75330Pakistan School of Public Health Dow University of Health SciencesSindhKarachi 75330Pakistan

BACKGROUND Metabolic-associated fatty liver disease(MAFLD)is a liver condition marked by excessive fat buildup in the absence of heavy alcohol *** is primarily linked with metabolic issues like insulin resistance,obesity,and abnormal lipid levels,and is often observed with other conditions such as type 2 diabetes and cardiovascular ***,whether the subtypes of MAFLD based on the metabolic disorder differentially impact liver fibrosis is not well explicated,especially in the Asian *** To compare the severity of liver fibrosis among different MAFLD *** A total of 322 adult patients of either gender with fatty liver on ultrasound were enrolled between January to December *** was defined as per the Asian Pacific Association for the Study of the Liver ***-4 index(Fib-4)and nonalcoholic fatty liver disease fibrosis score(NFS)were employed to evaluate liver *** The mean age was 44.84±11 ***-two percent of the patients were *** hundred and seventy-three patients were classified as having MAFLD,of which 110(40.3%)carried a single,129(47.3%)had two,and 34(12.5%)had all three metabolic *** cumulative number of metabolic conditions was related to elevated body mass index,triglyceride(TG)levels,and glycated hemoglobin,lower high-density lipoprotein(HDL)levels,higher liver inflammation(by aspartate aminotransferase andγ-glutamyl transferase),and higher likelihood of fibrosis(by NFS and Fib-4 scores)(P<0.05 for all).The proportion of advanced fibrosis also increased with an increase in the number of metabolic conditions(4.1%,25.5%,35.6%,and 44.1%by NFS and 6.1%,10.9%,17%,and 26.5%by Fib-4 for no MAFLD and MAFLD with 1,2,and 3 conditions,respectively).Among MAFLD patients,those with diabetes alone were the eldest and had the highest mean value of NFS score and Fib-4 score(P<0.05),while MAFLD patients diagnosed with lean metabolic dysfunction exhibited the highest levels of TG and a

关键词： Metabolic syndrome Diabetes Fatty liver disease Dyslipidemia Obesity

China's GCI to Shape Harmonious World by Connecting Cultures,Says Former Pakistani Minister

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International Understanding 2024年第1期 18-19页

作者： Misbah saba Malik Jiang Chao 不详

The China-proposed Global Civilisation Initiative(GCl)holds immense potential to shape a harmonious world through cultural connectivity,greater cooperation and mutual respect among nations,a former Pakistani Minister *** connectivity encourages inclusive coexistence and deters aggression by promoting mutual respect and *** advocating these values,the GCl has inspired a new era of unity,understanding and peaceful coexistence on a global scale,Syed Jamal Shah,former Pakistan Minister for National Heritage and Culture,told Xinhua in a recent interview.

关键词： mutual connectivity holds

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