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A New medical Image Enhancement Algorithm Based on Fractional Calculus

International Journal of Astronomy and Astrophysics（天文学与天体物理学国际期刊） 2024年第1期 20页

作者： ali m.hasan Walid J.Azzam

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Computers, materials & Continua 2021年第8期68卷 1467-1483页

作者： Hamid A.Jalab Rabha W.Ibrahim ali m.hasan Faten Khalid Karim Ala’a R.Al-Shamasneh Dumitru Baleanu Faculty of Computer Science and Information Technology University MalayaKuala Lumpur50603Malaysia Nonlinear Dynamics Research Center(NDRC) Ajman UniversityAjman346UAE College of medicine Al-Nahrain UniversityBaghdad10001Iraq Department of Computer Science College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of mathematics Cankaya UniversityBalgatAnkara06530Turkey Institute of Space Sciences Magurele-BucharestR76900Romania Department of medical Research China Medical UniversityTaichung40402Taiwan

The enhancement of medical images is a challenging research task due to the unforeseeable variation in the quality of the captured *** captured images may present with low contrast and low visibility,which might inuence the accuracy of the diagnosis *** overcome this problem,this paper presents a new fractional integral entropy(FITE)that estimates the unforeseeable probabilities of image pixels,posing as the main contribution of the *** proposed model dynamically enhances the image based on the image *** main advantage of FITE lies in its capability to enhance the low contrast intensities through pixels’***,the pixel probability of the fractional power is utilized to extract the illumination value from the pixels of the ***,the contrast of the image is then adjusted to enhance the regions with low ***,the fractional integral entropy approach is implemented to enhance the low visibility contents from the input *** were conducted on brain mRI,lungs CT,and kidney mRI scans datasets of different image qualities to show that the proposed model is robust and can withstand dramatic variations in *** obtained comparative results show that the proposed image enhancement model achieves the best BRISQUE and NIQE ***,this model improves the details of brain mRI,lungs CT,and kidney mRI scans,and could therefore potentially help the medical staff during the diagnosis process.

关键词： Fractional calculus image enhancement brain mRI lungs CT kidney mRI

Robust design of sliding mode control for airship trajectory tracking with uncertainty and disturbance estimation

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Journal of Systems Engineering and Electronics 2024年第1期35卷 242-258页

作者： WASIm muhammad ali Ahsan CHOUDHRY mohammad Ahmad SHAIKH Inam Ul hasan SALEEm Faisal Department of Aeronautics and Astronautics Engineering Institute of Space TechnologyIslamabad 44000Pakistan Department of Electrical Engineering University of Engineering and TechnologyTaxila 47080Pakistan Department of measurements and Control Systems Silesian University of TechnologyGliwice 44-101Poland The Joint Doctoral School Silesian University of TechnologyGliwice 44-100Poland

The robotic airship can provide a promising aerostatic platform for many potential *** applications require a precise autonomous trajectory tracking control for *** has a nonlinear and uncertain *** is prone to wind disturbances that offer a challenge for a trajectory tracking control *** paper addresses the airship trajectory tracking problem having time varying reference path.A lumped parameter estimation approach under model uncertainties and wind disturbances is opted against distributed *** uses extended Kalman filter(EKF)for uncertainty and disturbance *** estimated parameters are used by sliding mode controller(SmC)for ultimate control of airship trajectory *** comprehensive algorithm,EKF based SmC(ESmC),is used as a robust solution to track airship *** proposed estimator provides the estimates of wind disturbances as well as model uncertainty due to the mass matrix variations and aerodynamic model *** stability and convergence of the proposed method are investigated using the Lyapunov stability *** simulation results show that the proposed method efficiently tracks the desired *** method solves the stability,convergence,and chattering problem of SmC under model uncertainties and wind disturbances.

关键词： airship chattering extended Kalman filter(EKF) model uncertainties estimation sliding mode controller(SmC)

Clinically adaptable machine learning model to identify early appreciable features of diabetes

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Intelligent medicine 2024年第1期4卷 22-32页

作者： Nurjahan Nipa mahmudul hasan Riyad Shahriare Satu Walliullah Koushik Chandra Howlader mohammad ali moni Department of Information and Communication Technology Bangabandhu Sheikh Mujibur Rahman Digital UniversityBangladeshKaliakairGazipur1750 Bangladesh Department of Applied mathematics Noakhali Science and Technology UniversityNoakhali3814Bangladesh Department of management Information Systems Noakhali Science and Technology UniversityNoakhali3814Bangladesh Department of Computer Science and Telecommunication Engineering Noakhali Science and Technology UniversityNoakhali3814Bangladesh Department of Computer Science North Dakota State UniversityFargo58105NDUnited States School of Health and Rehabilitation Sciences Faculty of Health and Behavioural SciencesThe University of QueenslandSt LuciaQLD 4072Australia

Objective Diabetes mellitus is a serious disease where the body of affected patients are failed to produce enough insulin that causes an abnormality of blood *** disease happens for a number of reasons including modern lifestyle,lethargic attitude,unhealthy food consumption,family history,age,overweight,*** aim of this study was to propose a machine learning based prediction model that detected diabetes at the *** In this work,we collected 520 patients records from the University of California,Irvine(UCI)machine learning repository of Sylhet Diabetes Hospital,***,a similar questionnaire of that hospital was followed and assembled 558 patients records from all over Bangladesh through this ***,we accumulated patient records of these two *** the next step,these datasets were cleaned and applied thirty five state-of-arts classifiers such as logistic regression(LR),K nearest neighbors(KNN),support vector classifier(SVC),Nave Byes(NB),decision tree(DT),random forest(RF),stochastic gradient descent(SGD),Perceptron,AdaBoost,XGBoost,passive aggressive classifier(PAC),ridge classifier(RC),Nu-support vector classifier(NuSVC),linear support vector classifier(LSVC),calibrated classifier CV(CCCV),nearest centroid(NC),Gaussian process classifier(GPC),multinomial NB(mNB),complement NB,Bernoulli NB(BNB),categorical NB,Bagging,extra tree(ET),gradiant boosting classifier(GBC),Hist gradiant boosting classifier(HGBC),one vs rest classifier(OVsRC),multi-layer perceptron(mLP),label propagation(LP),label spreading(LS),stacking,ridge classifier CV(RCCV),logistic regression CV(LRCV),linear discriminant analysis(LDA),quadratic discriminant analysis(QDA),and light gradient boosting machine(LGBm)to explore best stable predictive *** performance of the classifiers has been measured using five metrics such as accuracy,precision,recall,F1-score,and area under the receiver operating ***,these outcomes were interpret

关键词： Diabetes Early features machine learning Classification

A Review and Bibliometric Analysis of the Current Studies for the 6G Networks

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Computer modeling in Engineering & Sciences 2024年第9期140卷 2165-2206页

作者： Qusay m.Salih md.Arafatur Rahman Ahmad Firdaus mohammed Rajih Jassim.hasan Kahtan Jasni mohamad Zain Ahmed Hussein ali Faculty of Computing Universiti Malaysia Pahang Al-Sultan Abdullah(UMPSA)PekanPahang26600Malaysia Department of medical Equipment Technology Engineering Al Salam University CollegeBaghdadIraq School of mathematics and Computer Science University of WolverhamptonWolverhampton01902UK Department of Production Engineering and metallurgy University of TechnologyBaghdadIraq Cardiff School of Technologies Cardiff Metropolitan UniversityCardiffCF52YBUK Institute for Big Data Analytics and Artificial Intelligence(IBDAAI) Kompleks Al-KhawarizmiUniversiti Teknologi MARAShah AlamSelangor40450Malaysia Department Computer Science Al-Salam University CollegeBaghdadIraq

The race to develop the next generation of wireless networks,known as Sixth Generation(6G)wireless,which will be operational in 2030,has already *** realize its full potential over the next decade,6G will undoubtedly necessitate additional improvements that integrate existing solutions with cutting-edge ***,the studies about 6G are mainly limited and scattered,whereas no bibliometric study covers the 6G ***,this study aims to review,examine,and summarize existing studies and research activities in *** study has examined the Scopus database through a bibliometric analysis of more than 1,000 papers published between 2017 and ***,we applied the bibliometric analysis methods by including(1)document type,(2)subject area,(3)author,and(4)country of *** study’s results reflect the research 6G community’s trends,highlight important research challenges,and elucidate potential directions for future research in this interesting area.

关键词： 6G bibliometric wireless networks review

QT AG-modules whose h-Pure-S-High Submodules Have Closure

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Journal of mathematical Research with Applications 2024年第1期44卷 18-24页

作者： mohd Noman ali Vinit Kumar SHARmA Ayazul hasan Department of mathematics Shri Venkateshwara University College of Applied Industrial Technology Jazan University

A right module m over an associative ring R with unity is a QTAG-module if every finitely generated submodule of any homomorphic image of m is a direct sum of uniserial *** article considers the closure of h-pure-S-high submodules of ***,we determine all submodules S of a QTAG-module m such that each closure of h-pure-S-high submodule of m is h-pure-■-high in■.A few results of this theme give a comparison of some elementary properties of h-pure-S-high and S-high submodules.

关键词： QTAG-modules closures h-pure-S-high submodules

Theory for Charge Density Wave and Orbital-Flux State in Antiferromagnetic Kagome metal FeGe

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Chinese Physics Letters 2024年第4期41卷 90-104页

作者：马海洋殷嘉鑫 m.Zahid hasan 刘健鹏 School of Physical Science and Technology ShanghaiTech UniversityShanghai 201210China ShanghaiTech Laboratory for Topological Physics ShanghaiTech UniversityShanghai 201210China Quantum Science Center of Guangdong-HongKong-macao Greater Bay Area Shenzhen 518045China Laboratory for Topological Quantum matter and Advanced Spectroscopy(B7) Department of PhysicsPrinceton UniversityPrincetonNew Jersey 08544USA Princeton Institute for Science and Technology of materials Princeton UniversityPrincetonNew Jersey 08544USA materials Sciences Division Lawrence Berkeley National LaboratoryBerkeleyCalifornia 94720USA Liaoning Academy of materials Shenyang 110167China

We theoretically study the charge order and orbital magnetic properties of a new type of antiferromagnetic kagome metal *** on first-principles density functional theory calculations,we study the electronic structures,Fermi-surface quantum fluctuations,as well as phonon properties of the antiferromagnetic kagome metal *** is found that charge density wave emerges in such a system due to a subtle cooperation between electron-electron interactions and electron–phonon couplings,which gives rise to an unusual scenario of interaction-triggered phonon instabilities,and eventually yields a charge density wave(CDW)*** further show that,in the CDW phase,the ground-state current density distribution exhibits an intriguing star-of-David pattern,leading to flux density *** orbital fluxes(or current loops)in this system emerge as a result of the subtle interplay between magnetism,lattice geometries,charge order,and spin-orbit coupling(SOC),which can be described by a simple,yet universal,tight-binding theory including a Kane-mele-type SOC term and a magnetic exchange *** further study the origin of the peculiar step-edge states in FeGe,which sheds light on the topological properties and correlation effects in this new type of kagome antiferromagnetic material.

关键词： interaction phonon orbital

Using neural network modeling to improve the detection accuracy of land subsidence due to groundwater withdrawal

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Journal of mountain Science 2024年第7期21卷 2320-2333页

作者： ali m.RAJABI ali EDALAT Yasaman ABOLGHASEmI mahdi KHODAPARAST Department of Engineering Geology University of TehranTehran ***Iran Department of Civil Engineering University of QomQom ***Iran

Despite the high efficiency of remote sensing methods for rapid and large-scale detection of subsidence phenomena,this technique has limitations such as atmospheric impact and temporal and spatial decorrelation that affect the accuracy of the *** paper proposes a method based on an artificial neural network to improve the results of monitoring land subsidence due to groundwater overexploitation by radar interferometry in the aliabad plain(Central Iran).In this regard,vertical ground deformations were monitored over 18 months using the Sentinel-1A SAR *** model the land subsidence by a multilayer perceptron(mLP)artificial neural network,four parameters,including groundwater level,alluvial thickness,elastic modulus,and transmissivity have been *** model's generalizability was assessed using data derived for 144 *** to the results,the neural network estimates the land subsidence at each ground point with an accuracy of 6.8 mm.A comparison between the predicted and actual values indicated a significant *** mLP model can be used to improve the results of subsidence detection in the study area or other areas with similar characteristics.

关键词： DInSAR Land subsidence Groundwater withdrawal aliabad plain Artificial neural network

Does the Redshift Distribution of Swift Long GRBs Trace the Star-Formation Rate?

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International Journal of Astronomy and Astrophysics 2024年第1期14卷 20-44页

作者： ali m. hasan Walid J. Azzam Department of Physics College of Science University of Bahrain Sakhir Bahrain

Gamma-ray bursts (GRBs) are extremely powerful explosions that have been traditionally classified into two categories: long bursts (LGRBs) with an observed duration T90 > 2 s, and short bursts (SGRBs) with an observed duration T90 T90 is the time interval during which 90% of the fluence is detected. LGRBs are believed to emanate from the core-collapse of massive stars, while SGRBs are believed to result from the merging of two compact objects, like two neutron stars. Because LGRBs are produced by the violent death of massive stars, we expect that their redshift distribution should trace the star-formation rate (SFR). The purpose of our study is to investigate the extent to which the redshift distribution of LGRBs follows and reflects the SFR. We use a sample of 370 LGRBs taken from the Swift catalog, and we investigate different models for the LGRB redshift distribution. We also carry out monte Carlo simulations to check the consistency of our results. Our results indicate that the SFR can describe the LGRB redshift distribution well for high redshift bursts, but it needs an evolution term to fit the distribution well at low redshift.

关键词： Gamma-Ray Bursts Redshift Distribution Star-Formation Rate

Tuning structural,electrical,dielectric and magnetic properties of mg-Cu-Co ferrites via dysprosium(Dy^(3+))doping

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Journal of Rare Earths 2024年第1期42卷 137-146,I0005页

作者： maria Akhtar m.S.hasan Nasir Amin N.A.morley muhammad Imran Arshad Department of Physics Government College UniversityFaisalabad38000Pakistan Department of Physics The University of Lahore53700Pakistan Department of materials Science and Engineering The University of SheffieldS13JDUK Department of Physics&Astronomy University College LondonUK

In current research work,Dy3+substituted mg0.5Cu0.25Co0.25Fe2-xDyxO4(0.0≤x≤0.04 with the step interval of 0.01)soft ferrites were synthesized by the sol-gel auto combustion *** prepared samples were characterized by the techniques using X-ray diffraction(XRD),scanning electron microscopy(SEm),energy dispersive X-ray spectroscopy(EDS),Fourier transform infrared(FTIR)spectroscopy,curre nt-voltage(Ⅰ-Ⅴ)measurement,LCR meter,vibrating sample magnetometer(VSm)and *** data reveal that the average crystallite size is 49.71 nm and the lattice constant is 0.83703 nm for sample x=*** non-uniform grain growth was demonstrated by micrographs and impurity-free elemental composition was observed from EDX *** DC resistivity has an increasing and decreasing trend in ferromagnetic and paramagnetic regions with an increase in ***,the high resistivity is observed with the order of 1010Ω·cm,and the activation energy is 0.944 eV for samples x=*** dielectric parameters including dielectric constant,dielectric losses,and impedance gradually decrease with the increase in frequency from 8 Hz to 8 *** minimum dielectric loss at high frequency is found for sample x=*** coercivity(Hc)and saturation magnetization(ms)are found in the ranges of 520.82-544.02 Oe and 20.5841-21.1473 emu/g,*** observations confirm that dysprosium(x=0.03)doped mCC-soft ferrites may be applicable in transformer cores,microwave absorbance,and telecommunication devices.

关键词： Soft ferrites DC resistivity Dielectric loss Impedance Coercivity Rare earths