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Liver-Tumor Detection Using CNN ResUNet

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Computers, Materials & Continua 2021年第5期67卷 1899-1914页

作者： muhammad Sohaib Aslam muhammad Younas muhammad Umar Sarwar muhammad Arif Shah Atif Khan MIrfan Uddin Shafiq Ahmad muhammad Firdausi Mazen Zaindin Department of Computer Science Government College University FaisalabadFaisalabad38000Pakistan Department of IT and Computer Science Pak-Austria Fachhochschule Institute of Applied Sciences and TechnologyHaripur22620Pakistan Department of Computer Science Islamia College PeshawarPeshawarKPPakistan Institute of Computing Kohat University of Science and TechnologyKohatPakistan Department of Industrial Engineering College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia Department of Statistics and Operations Research College of ScienceKing Saud UniversityRiyadh11421Saudi Arabia

Liver tumor is the fifth most occurring type of tumor in men and the ninth most occurring type of tumor in women according to recent reports of Global cancer statistics *** are several imaging tests like Computed Tomography(CT),Magnetic Resonance Imaging(MRI),and ultrasound that can diagnose the liver tumor after taking the sample from the tissue of the *** tests are costly and *** paper proposed that image processing through deep learning Convolutional Neural Network(CNNs)ResUNet model that can be helpful for the early diagnose of tumor instead of conventional *** existing studies have mainly used the two Cascaded CNNs for liver segmentation and evaluation of Region Of Interest(ROI).This study uses ResUNet,an updated version of U-Net and ResNet Models that utilize the service of Residential *** apply over method on the 3D-IRCADb01 dataset that is based on CT slices of liver tumor affected *** results showed the True Value Accuracy around 99%and F1 score performance around 95%.This method will be helpful for early and accurate diagnose of the Liver tumor to save the lives of many patients in the field of Biotechnology.

关键词： Liver tumor diagnose ResUNet CNNs segmentation

Effect of chromium on growth attributes in sunflower(Helianthus annuus L.)

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Journal of Environmental Sciences 2008年第12期20卷 1475-1480页

作者： FOZIA Andaleeb muhammad Anjum Zia muhammad Ashraf ZAFAR Mahmood Khalid National Institute for Biotechnology and Genetic Engineering Department of Chemistry and Biochemistry University of Agriculture Department of Botany University of Agriculture

Heavy metal soil pollution takes place when the metal concentration of soil exceeds natural background level and causes ecological destruction and deterioration of the *** the present study,a pot experiment was conducted to evaluate the effect of chromium-contaminated soil in sunflower(Helianthus annuus L.)growth *** different levels of chromium(Cr)i.e.,20, 40,and 60 mg/kg were applied to three varieties of sunflower(G-3,G-9,and G-59).The results of morphological,chemical,and yield p...

关键词： Helianthus annuus L. soil chromium growth attributes

The Impact of Internet of Things Supported by Emerging 5G in Power Systems: A Review

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CSEE Journal of Power and Energy Systems 2020年第2期6卷 344-352页

作者： Jinsong Tao muhammad Umair muhammad Ali Jian Zhou School of Electrical Engineering and Automation Wuhan UniversityHubei 430072China

The Internet of Things(IoT)is playing an important role in providing access to affordable,clean and green energy worldwide through the use of smart *** current electric power networks will be more reliable,secure,flexible and durable by implementing IoT in power *** paper presents a brief discussion about IoT contributions in the development of power systems from a generation,transmission,distribution and consumption point of view.5G cellular networks have a great potential for the development of IoT ***,5G cellular networks can be instrumental in supporting the greater communication needs of *** review provides a comprehensive analysis about the role of 5G cellular networks in the growth of IoT technology and power *** amounts of data will be generated due to the incorporation of renewable energy,deployment of the smart grid and the improvements to the electricity *** this way,in order to realize the connection between things and people,things and things and people and people in power systems,it is essential to apply IoT in power *** this case,5G is providing numerous advantages to Power IoT(PIoT)by offering greater opportunities in progress and improvements;however,there are also numerous challenges with the deployment of 5G in ***,this review article provides an overview of the role,implications and challenges of 5G in PIoT.

关键词： Fifth Generation(5G) Internet of Things(IoT) Power IoT(PIoT)

From Molecular Pathology of COVID-19 to Nigella Sativum as a Treatment Option:Scientific Based Evidence of Its Myth or Reality

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Chinese Journal of Integrative Medicine 2022年第1期28卷 88-95页

作者： muhammad Atif Farrah Naz Junaid Akhtar muhammad Imran Sidrah Saleem Javed Akram muhammad Imran muhammad Ikram Ullah Department of Clinical Laboratory Sciences College of Applied Medical SciencesJouf UniversitySakaka(75471)Saudi Arabia Department of Microbiology Government College UniversityFaisalabad(38000)Pakistan Department of Microbiology University of Health SciencesLahore(54600)Pakistan Department of Allied Health Sciences Sargodha Medical CollegeUniversity of SargodhaSargodha(40100)Pakistan University of Health Sciences Lahore(54600)Pakistan University Institute of Diet and Nutritional Sciences Faculty of Allied Health SciencesThe University of LahoreLahore(54590)Pakistan

COVID-19 virus is a causative agent of viral pandemic in human beings which specifically targets respiratory system of humans and causes viral *** unusual viral pneumonia is rapidly spreading to all parts of the world,currently affecting about 105 million people with 2.3 million *** review described history,genomic characteristics,replication,and pathogenesis of COVID-19 with special emphasis on Nigella sativum(***)as a treatment *** seeds are historically and religiously used over the centuries,both for prevention and treatment of different *** review summarizes the potential role of *** seeds against COVID-19 infection at levels of in silico,cell lines and animal models.

关键词： coronavirus nCoV-19 COVID-19 Nigella sativum review

Fe-Promoted Copper Oxide Thin-Film Catalysts for the Catalytic Reduction of N_(2)O in the Presence of Methane

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Journal of Thermal Science 2023年第2期32卷 531-541页

作者： muhammad Waqas WU Lingnan EI KASMI Achraf muhammad Ammar TIAN Zhenyu Institute of Engineering Thermophysics Chinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China Department of Mechanical Engineering College of Engineering and TechnologyUniversity of SargodhaSargodha 40100Pakistan Laboratory LSIA UAE/U02ENSAHNational School of Applied Sciences of Al HoceimaAbdelmalek Essaadi UniversityAl Hoceima 32003Morocco Department of Chemical Engineering Technology Government College UniversityFaisalabad 38000Pakistan

Thin-film catalysts are recently recognized as promising catalysts due to their reduced amount of materials and good catalytic activity,leading to low-cost and high-efficiency catalysts.A series of CuFeO_(x)thin-film catalysts were prepared with different Fe contents using a one-step method as well as tested for the catalytic reduction of nitrous oxide(N_(2)O)in the presence of CH_(4)at a high GH SV of 185000 mL/(g·h).The increase of iron strongly affects the dispersion and leads to the creation of a less-active segregated Fe_(2)O_(3)phase,which was confirmed by XRD,EDX,and XPS *** results show that the synergistic properties between Cu and Fe,which affect the CuFeOxfilm catalysts in many aspects,such as the hollow-like texture,specific surface area,nano-crystallite size,the surface contents of Cu^(+),Fe^(3+),and oxygen species,the reductive strength and the strong active sites on the *** DFT calculations,the adsorption and decomposition energy profiles of N_(2)O on the CuFeO_(2)(012)surface model were *** surface Fe-site and hollow-site are active for N_(2)O decomposition,and the decomposition energy barriers on the Fe-site and the hollow-site are 1.02 eV and 1.25 eV respectively at 0 *** strategy adopted here to tailor the activity through low-doping Fe-oxide catalysts could establish a promising way to improve the catalytic reduction of N_(2)O with CH_(4).

关键词： catalytic reduction thin-film catalysts doping strategy density functional theory calculations N_(2)O decomposition

Tectonic Study of the Sub-Himalayas Based on Geophysical Data in Azad Jammu and Kashmir and Northern Pakistan

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Journal of Earth Science 2016年第6期27卷 981-988页

作者： muhammad Rustam Khan Fahad Hameed muhammad Saleem Mughal muhammad Basharat Sohail Mustafa Institute of Geology University of Azad Jammu and Kashmir Muzaffarabad

The tectonic study based on geophysical data has been carried out in Sub-Himalayas in Azad Jammu and Kashmir and northern Pakistan. A series of thin skinned and thick skinned faults have been delineated in the investigated area on the basis of present study. In the study area compressional stresses caused by the collisional of Indian and Eurasian plates developed the northwestsoutheast trending faults which are Shaheed Gala thrust, Bagh basement fault, Kashmir boundary thrust and Kawai fault or Indus Kohistan seismic zone. The crustal thickness increases towards north due to the stacking of the thrust sheets along these faults. The Murree Formation thrusts over the Si- waliks molasse along the Shaheed Gala thrust. This fault dips at an angle of 43° northeast and joins the thick skinned Bagh basement fault in subsurface which are penetrated up to Moho depth. In the northeast of Bagh basement fault the northwest-southeast trending Kashmir boundary thrust has been delineated in the sedimentary-metasedimentary wedge which joins the Indus Kohistan seismic zone in the subsurface. The present study suggested that the Kawai fault which is running within Murree Formation cuts 16 km thick sedimentary-metasedimentary wedge and also joins the Indus Kohistan seismic zone in the subsurface.

关键词： tectonic study Sub-Himalayas Bouguer anomaly magnetic anomaly gravity modeling.

Measurement of ^(59)Co(ai,x)reaction cross sections with the fast neutrons based on the ^(9)Be(p,n)reaction

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Chinese Physics C 2021年第4期45卷 248-255页

作者： muhammad Zaman muhammad Nadeem muhammad Sahid Kwangsoo Kim Guinyun Kim Nguyen Thi Hien Department of Physics and Center for High Energy Physics Kyungpook National UniversityDaegu 41566Republic of Korea Institute of Physics Vietnam Academy of Science and Technology10 Dao TanHanoiVietnam

The cross sections of the ^(59)Co(n,x)reaction in the average energy range of 15.2-37.2 MeV were meas-ured using activation and an off-line γ-ray spectrometric *** neutrons were generated from the ^(9)Be(p,n)reaction with proton beam energies of 25-45 MeV at the MC-50 Cyclotron facility of the Korean Institute of Radi-ological and Medical Sciences(KIRAMS).Theoretical cal lculations of neutron-induced reactions on ^(59)Co were per-formed using the nuclear model code *** results for the ^(59)Co(n,x)reactions were compared with the theoretical values obtained using TALYS-1.9 and the literature data provided in EXFOR and the TENDL 2019 nuc-lear data *** theoretical values obtained using TALYS-1.9 with adjusted parameters are comparable to the experimental *** measured reaction cross sections of a few radionuclides are new,and the others are compar-able to the literature data,and thus,they can strengthen the *** present study on cross sections leads to useful insight into the mechanisms of ^(59)Co(n,x)reactions.

关键词： ^(59)Co(n,x)reaction cross sections average neutron energy of 15.2-37.2 MeV off-lineγ-ray spectrometry MCNPX 2.6.0 simulation TALYS-1.9

Brain Tumor Segmentation in Multimodal MRI Using U-Net Layered Structure

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Computers, Materials & Continua 2023年第3期74卷 5267-5281页

作者： muhammad Javaid Iqbal muhammad Waseem Iqbal muhammad Anwar muhammad Murad Khan Abd Jabar Nazimi Mohammad Nazir Ahmad Department of Information Technology The Superior UniversityLahorePakistan Department of Software Engineering The Superior UniversityLahorePakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahorePakistan Department of Computer Science Government College UniversityFaisalabadPakistan Deptment of Oral and Maxillofacial Surgery Faculty of DentistryUniversiti Kebangsaan MalaysiaKuala LumpurMalaysia Institute of IR4.0 Universiti Kebangsaan MalaysiaBangiSelangorMalaysia

The brain tumour is the mass where some tissues become old or damaged,but they do not die or not leave their *** brain tumour masses occur due to malignant *** tissues must die so that new tissues are allowed to be born and take their *** segmentation is a complex and time-taking problem due to the tumour’s size,shape,and appearance *** finding such masses in the brain by analyzing Magnetic Resonance Images(MRI)is a crucial task for experts and *** could not work for large volume images simultaneously,and many errors occurred due to overwhelming image *** main objective of this research study is the segmentation of tumors in brain MRI images with the help of digital image processing and deep learning *** research study proposed an automatic model for tumor segmentation in MRI *** proposed model has a few significant steps,which first apply the pre-processing method for the whole dataset to convert Neuroimaging Informatics Technology Initiative(NIFTI)volumes into the 3D NumPy *** the second step,the proposed model adopts U-Net deep learning segmentation algorithm with an improved layered structure and sets the updated *** the third step,the proposed model uses state-of-the-art Medical Image Computing and Computer-Assisted Intervention(MICCAI)BRATS 2018 dataset withMRI modalities such as T1,T1Gd,T2,and Fluidattenuated inversion recovery(FLAIR).Tumour types in MRI images are classified according to the tumour *** of these masses carried by state-of-the-art approaches such that the first is enhancing tumour(label 4),edema(label 2),necrotic and non-enhancing tumour core(label 1),and the remaining region is label 0 such that edema(whole tumour),necrosis and *** proposed model is evaluated and gets the Dice Coefficient(DSC)value for High-grade glioma(HGG)volumes for their test set-a,test set-b,and test set-c 0.9795, 0.9855 and 0.9793, respectively.

关键词： Brain tumour segmentation magnetic resonance images modalities dice coefficient low-grade glioma U-Net

Dynamic Response and Deformation Behavior of Kadui-2 Landslide Influenced by Reservoir Impoundment and Rainfall,Baoxing,China

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Journal of Earth Science 2023年第3期34卷 911-923页

作者： muhammad Kamran Xiewen Hu muhammad Awais Hussain muhammad Sanaullah Randa Ali Kun He Faculty of Geosciences and Environmental Engineering Southwest Jiaotong UniversityChengdu 611756China College of Civil Engineering and Architecture Zhejiang UniversityHangzhou 310058China Department of Civil Engineering Technology National Skills UniversityIslamabadPakistan Institute of Geology Unversity of the PunjabLahore 54590Pakistan

This study focuses on the deformation characteristics of Kadui-2 Landslide by the influence of reservoir filling-drawdown and precipitation.A three-year monitoring project was implemented in order to observe the short/long-term *** slide mass experienced consistent deformation with a maximum cumulative displacement of 331.34 *** on the recorded data of reservoir water level and precipitation during this period,a two-dimensional(2-D)finite element model using Geostudio software was set up for deformation simulation under different conditions to understand the real influence of these triggering factors on *** numerical simulation results are in consistent with monitoring field *** numerical simulation and field monitoring results exhibit that the maximum deformation occurred at the foreside of slumping *** slip surface shows significant creep characteristics decreasing as long-term shear strength reducing *** water level fluctuation is the primary triggering factor to reactivate the landslide mass and has a negative correlation with deformation *** rate increases with the reservoir drawdown and decreases with impoundment *** with reservoir filling-drawdown operation,rainfall has no significant effect on the slide motion of landslide due to limited penetration from the ground surface.

关键词： landslide reservoir water level fluctuation rainfall finite element method cumulative displacement deformation characteristics