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An efficient cubic trigonometric B-spline collocation scheme for the time-fractional telegraph equation

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Applied Mathematics(A Journal of Chinese Universities) 2020年第3期35卷 359-378页

作者： muhammad yaseen muhammad Abbas Department of Mathematics University of SargodhaSargodha 40100Pakistan

In this paper,a proficient numerical technique for the time-fractional telegraph equation(TFTE)is *** chief aim of this paper is to utilize a relatively new type of B-spline called the cubic trigonometric B-spline for the proposed *** technique is based on finite difference formulation for the Caputo time-fractional derivative and cubic trigonometric B-splines based technique for the derivatives in space.A stability analysis of the scheme is presented to confirm that the errors do not amplify.A convergence analysis is also *** experiments are carried out in addition to verify the theoretical *** results are contrasted with a few present techniques and it is concluded that the presented scheme is progressively right and more compelling.

关键词： Time-fractional telegraph equation finite difference method Cubic trigonometric B-splines collocation method Stability Convergence

A Double-Branch Xception Architecture for Acute Hemorrhage Detection and Subtype Classification

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Computers, Materials & Continua 2023年第9期76卷 3727-3744页

作者： muhammad Naeem Akram muhammad Usman yaseen muhammad Waqar muhammad Imran Aftab Hussain Department of Computer Science COMSATS University IslamabadIslamabad45550Pakistan Department of Software Engineering Capital University of Science&TechnologyIslamabad44000Pakistan

This study presents a deep learning model for efficient intracranial hemorrhage(ICH)detection and subtype classification on non-contrast head computed tomography(CT)*** refers to bleeding in the skull,leading to the most critical life-threatening health condition requiring rapid and accurate *** is classified as intra-axial hemorrhage(intraventricular,intraparenchymal)and extra-axial hemorrhage(subdural,epidural,subarachnoid)based on the bleeding location inside the *** computer-aided diagnoses(CAD)-based schemes have been proposed for ICH detection and classification at both slice and scan ***,these approaches performonly binary classification and suffer from a large number of parameters,which increase storage ***,the accuracy of brain hemorrhage detection in existing models is significantly low for medically critical *** overcome these problems,a fast and efficient system for the automatic detection of ICH is *** designed a double-branch model based on xception architecture that extracts spatial and instant features,concatenates them,and creates the 3D spatial context(common feature vectors)fed to a decision tree classifier for final *** data employed for the experimentation was gathered during the 2019 Radiologist Society of North America(RSNA)brain hemorrhage detection *** model outperformed benchmark models and achieved better accuracy in intraventricular(99.49%),subarachnoid(99.49%),intraparenchymal(99.10%),and subdural(98.09%)categories,thereby justifying the performance of the proposed double-branch xception architecture for ICH detection and classification.

关键词： Computed tomography convolutional neural networks intracranial hemorrhage xception architecture

Simultaneous operation of dibenzothiophene hydrodesulfurization and methanol reforming reactions over Pd promoted alumina based catalysts

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燃料化学学报 2012年第6期40卷 714-720页

作者： muhammad yaseen muhammad Shakimllah Imtiaz Ahmad Ata Ur Rahman Faiz Ur Rahman muhammad Usman Rauf Razzaq Institute of Chemical Sciences University of Peshawar Khyberpukhtunkhwa Pakistan State Key Laboratory of Multiphase Complex Systems Institute of Process Engineering Chinese Academy of Sciences Beijing 100190 China

In the current study simultaneous reactions of hydrodesulfurization(HDS) of dibenzothiophene(DBT) and reforming of methanol in a micro-autoclave reactor were studied over bi-metallic(Co-Mo/Al2O3 and Ni-Mo/Al2O3) and tri-metallic(Pd-Co-Mo/Al2O3 and Pd-Ni-Mo/Al2O3) catalyst systems which were prepared by incipient impregnation *** situ hydrogen utilization and low Pd loadings were the major targets of this *** comparison purpose,catalytic activity was separately determined for both the methanol reforming and HDS of DBT reactions as *** based catalysts were confirmed with better activity than Co ones for both the reactions with Pd promoted ones ranking at the top ***-Ni-Mo/Al2O3 > Ni-Mo/Al2O3 > Pd-Co-Mo/Al2O3 > Co-Mo/Al2O3 where Pd-Ni-Mo/Al2O3 showed 91% DBT conversion at 380 ℃ and 12 h reaction *** of the selected organic additives on catalytic activity were tested for their effect toward HDS reaction which was unique with close relation to their chemical *** products were quantitatively and qualitatively analyzed via HPLC and GC-MS techniques respectively which helped in elucidating reaction mechanism.

关键词：加氢脱硫二苯并噻吩催化剂高效液相色谱法

Malware Detection in Android IoT Systems Using Deep Learning

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Computers, Materials & Continua 2023年第2期74卷 4399-4415页

作者： muhammad Waqar Sabeeh Fareed Ajung Kim Saif Ur Rehman Malik muhammad Imran muhammad Usman yaseen Department of Computer Science COMSATS UniversityIslamabad45550Pakistan Department of Optical Engineering Sejong UniversitySeoul143747Korea Cybernetica AS Tallinn12618Estonia

The Android Operating System(AOS)has been evolving since its inception and it has become one of the most widely used operating system for the Internet of Things(IoT).Due to the high popularity and reliability ofAOS for IoT,it is a target of many cyber-attacks which can cause compromise of privacy,financial loss,data integrity,unauthorized access,denial of services and so *** Android-based IoT(AIoT)devices are extremely vulnerable to various malwares due to the open nature and high acceptance of Android in the ***,several detection preventive malwares are developed to conceal their malicious activities from analysis ***,conventional malware detection techniques could not be applied and innovative countermeasures against such anti-detection malwares are indispensable to secure the *** this paper,we proposed the novel deep learning-based real-time multiclass malware detection techniques for the AIoT using dynamic *** results show that the proposed technique outperforms existing malware detection techniques and achieves detection accuracy up to 99.87%.

关键词： Android cyber security deep learning internet of things malware detection

Oxidative desulfurization of dibenzothiophene over Fe promoted Co–Mo/Al_2O_3 and Ni–Mo/Al_2O_3 catalysts using hydrogen peroxide and formic acid as oxidants

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Chinese Journal of Chemical Engineering 2018年第3期26卷 593-600页

作者： yaseen muhammad Ayesha Shoukat Ata Ur Rahman Haroon Ur Rashid Waqas Ahmad Institute of Chemical Sciences University ofPeshawar Khyber Pakhtunkhwa Pakistan School of Chemistry and Chemical Engineering Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology Guangxi University Guangxi 530004 China Department of Chemistry 5arhad University of Science and Information Technology Peshawar Pakistan

This work reports the enhancing effect of a highly cost effective and efficient metal, Fe, incorporation to Co or Ni based Mo/Al2O3 catalysts in the oxidative desulfurization （ODS） of dibenzothiophene （DBT） using H2O2 and formic acid as oxidants. The influence of operating parameters i.e. reaction time, catalyst dose, reaction temperature and oxidant amount on oxidation process was investigated. Results revealed that 99% DBT conversion was achieved at 60℃ and 150 min reaction time over Fe-Ni-Mo/Al2O3. Fe tremendously enhanced the ODS activity of Co or Ni based Mo/Al2O3 catalysts following the activity order：Fe-Ni-Mo/Al2O3 〉 Fe-Co-Mo/Al2O3 〉 Ni-Mo/Al2O3 〉 Co-Mo/Al2O3, while H2O2 exhibited higher oxidation activity than formic acid over all catalyst systems. Insight about the surface morphology and textural properties of fresh and spent catalysts were achieved using scanning electron microscopy （SEM）, X-ray diffraction （XRD）, energy dispersive X-ray （EDX） analysis, Atomic Absorption Spectroscopy （AAS） and BET surface area analysis, which helped in the interpretation of experimental data. The present study can be deemed as an effective approach on industrial level for ODS of fuel oils crediting to its high efficiency, low process/catalyst cost, safety and mild operating condition.

关键词： Oxidative desulfurization Fuel oil Dibenzothiophene Fe promoted (Co/Ni)-Mo/Al2O3 catalyst XRD

Foliar application of micronutrients enhances crop stand, yield and the biofortification essential for human health of different wheat cultivars

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Journal of Integrative Agriculture 2019年第6期18卷 1369-1378页

作者： muhammad Zahir Aziz muhammad yaseen Tanveer Abbas muhammad Naveed Adnan Mustafa Yasir Hamid Qudsia Saeed XU Ming-gang Institute of Soil and Environmental Sciences University of AgricultureFaisalabad 38040Pakistan National Engineering Laboratory for Improving Quality of Arable Land Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural SciencesBeijing 100081P.R.China College of Environmental and Resources Science Zhejiang UniversityHangzhou 310058P.R.China College of Natural Resources and Environment Northwest Agriculture and Forestry UniversityYangling 712100P.R.China

Globally about half of the world’s population is under micronutrient malnutrition due to poor quality food *** overcome this problem,fortification and biofortification techniques are often *** is considered a better option than fortification due to the easy control of nutrient deficiencies present in daily *** field experiment was conducted to evaluate the effects of foliar application of a micronutrient mixture(MNM)consisting of zinc(Zn),iron(Fe),copper(Cu),manganese(Mn)and boron(B)on yield and flour quality of *** results show the effectiveness of foliar feeding for growth and yield parameters,in addition to the enriching of wheat grains with Zn,Cu,Fe,Mn and *** to the control without foliar feeding,foliar application on wheat crop increased tillering ability,spike length,grain yield and the contents of Zn,Cu,Mn,Fe and B by 21,47,22,22 and 25%in wheat flour,***,foliar feeding of micronutrients could be an effective approach to enrich wheat grains with essential nutrients for correcting malnutrition.

关键词： enrichment biofortification malnutrition micronutrients wheat flour

Template/surfactant free and UV light irradiation assisted fabrication of Mn-Co oxides composite nanorings: Structure and synthesis mechanism

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Progress in Natural Science:Materials International 2019年第2期29卷 163-169页

作者： Wentao Jiang Xiaonan Hu muhammad yaseen Liyi Shi Dengsong Zhang Jianping Zhang Lei Huang Research Center of Nano Science and Technology Shanghai University Institute of Chemical Sciences University of Peshawar

A facile, green, cost effective, and template or surfactant free strategy via a two-step route i.e. UV irradiation followed by dissolution-growth for the controlled synthesis of Mn-Co composite nanorings at room temperature was proposed. The nanorings structures and the process were systematically studied via TEM, HRTEM, EDX and XRD. Bir-MnO;nanosheets first formed through the direct photolysis of KMnO;under UV light irradiation. This was followed by a dissolution-growth process via the dissolution of Bir-MnO;nanosheets by the generated H;from the redox reaction between the added Co（NO;）;and residual KMnO;, as well as the accompanied formation of CoOOH, and Mn-Co composite nanorings. It was found that a balance between the dissolution and growth rate was needed. Suitable pH, KMnO;presence and the starting nanosheets like Bir-MnO;were the key factors for the formation of nanorings. The obtained Mn-Co nanorings/TiO;showed enhanced efficiency for the catalytic oxidation of HCHO. Based on the above understandings, it is believed that the developed dissolution-growth method can be adopted for the designing and preparation of other Mn-Co composite nanostructures which can be further applied for environmental pollution remediation.

关键词： KMnO4 irradiation Template free green synthesis MnO2 nanoring Co3O4 Structural characterization

Enhanced Pervaporative Separation of Thiophene/n-Heptane Using Metal Loaded PEBAX/PAN Membranes

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China Petroleum Processing & Petrochemical Technology 2019年第3期21卷 36-45页

作者： Han Jianjian Wang Yidong Hu Yongjie Liu Kun muhammad yaseen Hu Minzhuan School of Chemistry and Chemical Engineering Guangxi UniversityNanning 530004 Guangdong Testing Institute of Product Quality Supervision Guangzhou 510670 Guangzhou College of Commerce Guangzhou 510000 Institute of Chemical Sciences University of Peshawar25120KPPakistan

The mass transfer of thiophene through pervaporation（PV） membranes could be facilitated by certain transitional metal ions like Ag+, Mn2+, and Cr3+ thanks to their p complexation with thiophene. In this study, Ag+, Mn2+, and Cr3+ ions were loaded onto the polyether block amide（PEBAX）/PAN composite membranes and were tested on the performance for separation of thiophene/n-heptane mixture. Pervaporation test results showed that the pervaporative separation index increased significantly to 73.1%, 75.5%, and 97.2% at 30 oC for the Ag+-, Mn2+-, Cr3+-loaded PEBAX membranes, respectively,as compared to the pristine PEBAX/PAN composite membrane.

关键词： transitional metal ion facilitated mass transfer of thiophene polyether block amide membrane pervaporation desulfurization

PAN-DeSpeck:A Lightweight Pyramid and Attention-Based Network for SAR Image Despeckling

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Computers, Materials & Continua 2023年第9期76卷 3671-3689页

作者： Saima Yasmeen muhammad Usman yaseen Syed Sohaib Ali Moustafa M.Nasralla Sohaib Bin Altaf Khattak Department of Computer Sciences Comsats UniversityIslamabadPakistan Department of Research and Development Shearwater GeoservicesCrawleyWest SussexUK Department of Communications&Networks Engineering Prince Sultan UniversityRiyadhSaudi Arabia

SAR images commonly suffer fromspeckle noise,posing a significant challenge in their analysis and *** convolutional neural network(CNN)based despeckling methods have shown great performance in removing speckle ***,these CNN-basedmethods have a *** do not decouple complex background information in ***,they have deep network structures thatmay result in many parameters,limiting their applicability tomobile ***,extracting key speckle information in the presence of complex background is also a major problem with *** proposed study addresses these limitations by introducing a lightweight pyramid and attention-based despeckling(PAN-Despeck)*** primary objective is to enhance image quality and enable improved information interpretation,particularly on mobile devices and scenarios involving complex *** PAN-Despeck network leverages domainspecific knowledge and integrates Gaussian Laplacian image pyramid decomposition for multi-resolution image *** utilizing this approach,complex background information can be effectively decoupled,leading to enhanced despeckling ***,the attention mechanism selectively focuses on key speckle features and facilitates complex background *** network incorporates recursive and residual blocks to ensure computational efficiency and accelerate training speed,making it lightweight while maintaining high *** comprehensive evaluations,it is demonstrated that PAN-Despeck outperforms existing image restoration *** an impressive average peak signal-to-noise ratio(PSNR)of 28.355114 and a remarkable structural similarity index(SSIM)of 0.905467,it demonstrates exceptional performance in effectively reducing speckle noise in SAR *** source code for the PAN-DeSpeck network is available on GitHub.

关键词： Synthetic Aperture Radar(SAR) SAR image despeckling speckle noise deep learning pyramid networks multiscale image despeckling