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Cervical Cancer Prediction Empowered with Federated Machine Learning

Computers, Materials & Continua 2024年第4期79卷 963-981页

作者： muhammad Umar Nasir Omar Kassem Khalil Karamath Ateeq Bassam SaleemAllah Almogadwy M.A.Khan Khan muhammad Adnan Department of Computer Sciences Bahria University Lahore CampusLahore54000Pakistan Faculty of Information Technology Liwa CollegeAbu Dhabi20009UAE Department of Computing Skyline University CollegeSharjah999041UAE Department of Computer Science Taibah UniversityMedina42315Saudi Arabia Riphah School of Computing and Innovation Faculty of ComputingRiphah International UniversityLahore54000Pakistan Department of Software Faculty of Artificial Intelligence and SoftwareGachon UniversitySeongnam13120Korea

Cervical cancer is an intrusive cancer that imitates various women around the world. Cervical cancer ranks in thefourth position because of the leading death cause in its premature stages. The cervix which is the lower end of thevagina that connects the uterus and vagina forms a cancerous tumor very slowly. This pre-mature cancerous tumorin the cervix is deadly if it cannot be detected in the early stages. So, in this delineated study, the proposed approachuses federated machine learning with numerous machine learning solvers for the prediction of cervical cancer totrain the weights with varying neurons empowered fuzzed techniques to align the neurons, Internet of MedicalThings (IoMT) to fetch data and blockchain technology for data privacy and models protection from hazardousattacks. The proposed approach achieves the highest cervical cancer prediction accuracy of 99.26% and a 0.74%misprediction rate. So, the proposed approach shows the best prediction results of cervical cancer in its early stageswith the help of patient clinical records, and all medical professionals will get beneficial diagnosing approachesfrom this study and detect cervical cancer in its early stages which reduce the overall death ratio of women due tocervical cancer.

关键词： Cervical cancer federated machine learning neurons blockchain technology

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Deep Convolutional Neural Networks for Accurate Classification of Gastrointestinal Tract Syndromes

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Computers, Materials & Continua 2024年第1期78卷 1207-1225页

作者： Zahid Farooq Khan muhammad Ramzan Mudassar Raza muhammad Attique Khan Khalid Iqbal Taerang Kim Jae-Hyuk Cha Department of Computer Science COMSATS University IslamabadWah CampusWah47040Pakistan Department of Computer Science and Mathematics Lebanese American UniversityBeirut13-5053Lebanon Department of Computer Science HITEC UniversityTaxila47080Pakistan Department of Computer Science COMSATS University IslamabadAttock CampusAttock43600Pakistan Department of Computer Science Hanyang UniversitySeoul04763Korea

Accurate detection and classification of artifacts within the gastrointestinal(GI)tract frames remain a significant challenge in medical image *** science combined with artificial intelligence is advancing to automate the diagnosis and treatment of numerous *** to this is the development of robust algorithms for image classification and detection,crucial in designing sophisticated systems for diagnosis and *** study makes a small contribution to endoscopic image *** proposed approach involves multiple operations,including extracting deep features from endoscopy images using pre-trained neural networks such as Darknet-53 and ***,feature optimization utilizes the binary dragonfly algorithm(BDA),with the fusion of the obtained feature *** fused feature set is input into the ensemble subspace k nearest neighbors(ESKNN)*** Kvasir-V2 benchmark dataset,and the COMSATS University Islamabad(CUI)Wah private dataset,featuring three classes of endoscopic stomach images were *** assessments considered various feature selection techniques,including genetic algorithm(GA),particle swarm optimization(PSO),salp swarm algorithm(SSA),sine cosine algorithm(SCA),and grey wolf optimizer(GWO).The proposed model excels,achieving an overall classification accuracy of 98.25% on the Kvasir-V2 benchmark and 99.90% on the CUI Wah private *** approach holds promise for developing an automated computer-aided system for classifying GI tract syndromes through endoscopy images.

关键词： Feature fusion Darknet-53 Xception binary dragonfly algorithm ensemble

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Divergent consequences of bio-resources on morphological plasticity and biochemical responses in early-stage leguminous species:Sustainable productivity approaches

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Geoscience Frontiers 2024年第3期15卷 312-321页

作者： Taimoor Hassan Farooq muhammad Farrakh Nawaz muhammad Qasid Awais Shakoor Irfan Ahmad Sadaf Gul Khuram Shahzad Xiaoyong Chen Bangor College China A Joint Unit of Bangor University and Central South University of Forestry and TechnologyChangsha 410004China Institute of Environmental Studies University of KarachiKarachi 75270Pakistan Department of Forestry and Range Management University of Agriculture FaisalabadPakistan Hawkesbury Institute for the Environment Western Sydney UniversityPenrithNSW 2751Australia Department of Botany University of KarachiKarachi 75270Pakistan Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesChaoyang DistrictBeijing 100101China College of Arts and Sciences Governors State UniversityUniversity ParkIL 60484USA

Inorganic resources can be detrimental to the environment when *** comparison,organic resources help balance the soil’s carbon and nitrogen(C/N)ratio,enhance soil fertility and benefit ecological *** climate crises,rapid urbanization,and fast population growth are causing many natural forests to be converted to agricultural and industrial lands to fulfill ever-increasing food and developmental *** of different bio-resources becomes necessary for sustainable productivity of available *** study explores the effects of various organic amendments on the growth,morpho-physiological and biochemical attributes of three leguminous tree species:Dalbergia sissoo,Vachellia nilotica,and Acacia ampliceps,concerning sustainable ***-year-old healthy,disease-free,and homogenous seedlings were used as study material in a greenhouse pot *** organic amendments,i.e.,compost(CMP),cow dung(CD),poultry manure(PM),and biochar(BC),along with a control(CK)treatment,were *** showed that all the organic amendments performed significantly better(P<0.05)than *** produced the most significant results,followed by BC application,while PM influence was the *** all treatments and species,the maximum values of root length,root biomass,chlorophyll content,carotenoids,catalase,and total phenolic content were recorded under the CD *** for plant height and collar diameter,no big differences were observed between CD and BC(P=0.054).While comparing species,*** growth was significantly enhanced under organic amendments,followed by *** and comparative results of studied parameters conclude that CD and BC were the most effective organic amendments,which greatly improved the growth of experimental leguminous tree species;this makes these two biofertilizers a powerful tool for sustainable agricultural *** study contributes toward an enhanced understanding of plant’

关键词： Bio-fertilizers Crop productivity Ecological sustainability Nitrogen fixation Organic cultivation Physiological responses

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Artificial Intelligence Based Meteorological Parameter Forecasting for Optimizing Response of Nuclear Emergency Decision Support System

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原子能科学技术 2024年第10期58卷 2068-2076页

作者： BILAL Ahmed Khan HASEEB ur Rehman QAISAR Nadeem muhammad Ahmad Naveed Qureshi JAWARIA Ahad muhammad Naveed Akhtar AMJAD Farooq MASROOR Ahmad Pakistan Institute of Engineering and Applied Sciences Islamabad 44000Pakistan

This paper presents a novel artificial intelligence (AI) based approach to predict crucial meteorological parameters such as temperature,pressure,and wind speed,typically calculated from computationally intensive weather research and forecasting (WRF) *** meteorological data is indispensable for simulating the release of radioactive effluents,especially in dispersion modeling for nuclear emergency decision support *** of meteorological conditions during nuclear emergencies using the conventional WRF model is very complex and ***,a new artificial neural network (ANN) based technique was proposed as a viable alternative for meteorological prediction.A multi-input multi-output neural network was trained using historical site-specific meteorological data to forecast the meteorological *** evaluation of this technique was conducted to test its performance in forecasting various parameters including atmospheric pressure,temperature,and wind speed components in both East-West and North-South *** performance of developed network was evaluated on an unknown dataset,and acquired results are within the acceptable range for all meteorological *** show that ANNs possess the capability to forecast meteorological parameters,such as temperature and pressure,at multiple spatial locations within a grid with high accuracy,utilizing input data from a single ***,accuracy is slightly compromised when predicting wind speed *** mean square error (RMSE) was utilized to report the accuracy of predicted results,with values of 1.453℃for temperature,77 Pa for predicted pressure,1.058 m/s for the wind speed of U-component and 0.959 m/s for the wind speed of *** conclusion,this approach offers a precise,efficient,and wellinformed method for administrative decision-making during nuclear emergencies.

关键词： prediction of meteorological parameters weather research and forecasting model artificial neural networks nuclear emergency support system

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Stability analysis and soliton solutions of the(1+1)-dimensional nonlinear chiral Schrodinger equation in nuclear physics

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Communications in Theoretical Physics 2024年第9期76卷 1-15页

作者： Fazal Badshah Kalim U tariq Ahmet Bekir S M Raza Kazmi Emad Az-Zo'bi School of Electrical and Information Engineering Hubei University of Automotive TechnologyShiyan 442002China Department of Mathematics Mirpur University of Science and TechnologyMirpur-10250(AJK)Pakistan Neighbourhood of Akcaglan Imarli StreetNumber:28/426030EskisehirTurkey Department of Mathematics and Statistics Faculty of ScienceMutah UniversityAlKarak 61710Jordan

The nonlinear Schrodinger equation equation is one of the most important physical models used in optical fiber theory to explain the transmission of an optical *** field of chiral soliton propagation in nuclear physics is very interesting because of its numerous applications in communications and ultra-fast signal routing ***(1+1)-dimensional chiral dynamical structure that describes the soliton behaviour in data transmission is dealt with in this work using a variety of in-depth analytical *** work has applications in particle physics,ionised science,nuclear physics,optics,and other applied mathematical *** are able to develop a variety of solutions to demonstrate the behaviour of solitary wave structures,periodic soliton solutions,chiral soliton solutions,and bell-shaped soliton solutions with the use of applied ***,in order to verify the scientific calculations,the stability analysis for the observed solutions of the governing model is taken into *** addition,the3-dimensional,contour,and 2-dimensional visuals are supplied for a better understanding of the behaviour of the *** employed strategies are dependable,uncomplicated,and effective;yet have not been utilised with the governing model in the literature that is now *** resulting outcomes have impressive applications across a large number of study areas and computational physics phenomena representing real-world *** methods applied in this model are not utilized on the given models in previous literature so we can say that these describe the novelty of the work.

关键词： solitons the nonlinear Schrodinger equation stability analysis chiral solitons exact solutions

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Morpho-anatomical adaptations of dominantly grown wild Datura inoxia to wastewater resource:Productivity and ecological issues

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Geoscience Frontiers 2024年第3期15卷 248-258页

作者： Taimoor Hassan Farooq Shagufta Jabeen Awais Shakoor muhammad Saleem Arif Nadia Siddique Khuram Shahzad muhammad Umair Riaz Yong Li Bangor College China a Joint Unit of Bangor University and Central South University of Forestry and TechnologyChangsha 410004HunanChina Department of Botany The Islamia University of BahawalpurBahawalpur 63100Pakistan Hawkesbury Institute for the Environment Western Sydney UniversityPenrithNSW 2751Australia Department of Environmental Sciences Government College University FaisalabadFaisalabad 38000Pakistan Department of Forestry Rangeand Wildlife ManagementThe Islamia University of BahawalpurBahawalpur 63100Pakistan Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China National Engineering Laboratory for Applied Technology of Forestry and Ecology in South China Central South University of Forestry and TechnologyChangsha 410004HunanChina

With the increasing global water scarcity,wastewater irrigation has become widespread,but it can have detrimental ecological *** wastewater contains valuable nutrients for plants,improper treatment or the use of untreated wastewater in irrigation can negatively impact soil fertility and plant *** study is divided into two parts:firstly,a phytosociological survey was conducted to identify plant species with the highest importance value index(IVI)in the vicinity of wastewaterirrigated ***,a comparative morpho-anatomical analysis was carried out to investigate the morpho-anatomical adaptations of the species with the highest IVI under wastewater irrigation compared to normal water *** results of the phytosociological survey revealed the presence of 51 plant species in the vicinity of the wastewater-irrigated areas,with varying relative densities and *** inoxia exhibited the highest IVI(28.79),followed by Xanthium strumarium(24.34),while Lippia nodiflora showed the lowest IVI(1.86).The morphological growth of *** was superior under normal water irrigation,but the average root length was greater under wastewater *** cell anatomy,cell thickness and cell area characteristics in the dermal,ground,and vascular tissues of the stem and root tended to be greater under wastewater ***,the opposite trend was observed in leaf anatomical analysis,possibly due to the combined effect of wastewater and climatic *** and root xylem thickness were greater under wastewater irrigation,whereas phloem thickness was higher under normal water *** number of vascular bundles in the stem,root,and leaf was higher under wastewater treatment compared to normal water irrigation,but their arrangement was circular in the latter and scattered under wastewater *** inoxia demonstrated strong adaptive potential under wastewater irrigation,as indicated by its highest relative d

关键词： Water pollution Phytosociology Structural growth Phytoremediation Agricultural irrigation Ecological concerns

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Phonon Thermal Transport at Interfaces of a Graphene/Vertically Aligned Carbon Nanotubes/Hexagonal Boron Nitride Sandwiched Heterostructure

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Chinese Physics Letters 2024年第1期41卷 57-62页

作者：李檬璘 muhammad Asif Shakoori 王瑞鹏李海鹏 School of Materials Science and Physics China University of Mining and TechnologyXuzhou 221116China

Molecular dynamics simulation is used to calculate the interfacial thermal resistance of a graphene/carbon nanotubes/hexagonal boron nitride(Gr/CNTs/hBN)sandwiched heterostructure,in which vertically aligned carbon nanotube(VACNT)arrays are covalently bonded to graphene and hexagonal boron nitride *** find that the interfacial thermal resistance(ITR)of the Gr/VACNT/hBN sandwiched heterostructure is one to two orders of magnitude smaller than the ITR of a Gr/hBN van der Waals heterostructure with the same plane *** is observed that covalent bonding effectively enhances the phonon coupling between Gr and hBN layers,resulting in an increase in the overlap factor of phonon density of states between Gr and hBN,thus reducing the ITR of Gr and *** addition,the chirality,size(diameter and length),and packing density of sandwich-layer VACNTs have an important influence on the ITR of the *** the same CNT diameter and length,the ITR of the sandwiched heterostructure with armchair-shaped VACNTs is higher than that of the sandwiched heterostructure with zigzag-shaped VACNTs due to the different chemical bonding of chiral CNTs with Gr and *** the armchair-shaped CNT diameter increases or the length decreases,the ITR of the sandwiched heterostructure tends to ***,the increase in the VACNT packing density also leads to a continuous decrease in the ITR of the sandwiched heterostructure,attributed to the extremely high intrinsic thermal conductivity of CNTs and the increase of out-of-plane heat transfer *** work may be helpful for understanding the mechanism for ITR in multilayer vertical heterostructures,and provides theoretical guidance for a new strategy to regulate the interlayer thermal resistance of heterostructures by optimizing the design of sandwich layer thermal interface materials.

关键词： sandwich shaped packing

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Physico-chemical properties and macrofauna of soils under various farming systems of cold arid region in Balochistan,Pakistan

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Journal of Mountain Science 2024年第8期21卷 2618-2630页

作者： KHAN Mehmood GUL Shamim KAKAR Hidayatullah PANEZAI Sanaullah KHAN Nayab ZIAD tariq NASEEM Mahrukh SHAHEEN Umbreen Department of Botany University of BalochistanQuetta 87300Pakistan Department of Natural Resource Sciences McGill University21111 Lakeshore Road Ste.Anne de BellevueQuébec H9X 3V9Canada Directorate of Agriculture Research Soil and Water TestingAgricultural Research InstituteQuetta 87300Pakistan Department of Geography and Regional Planning University of BalochistanQuetta 87300Pakistan Department of Zoology University of BalochistanQuetta 87300Pakistan

Barshore is a small village in the Pishin District,Balochistan,Pakistan,with dry summers and cold rainy *** is an agrarian region,mostly with orchards of various fruit *** study investigated the physico-chemical properties and macrofauna of soils under various agricultural management practices of this *** concentrations of soil organic matter(SOM),soil organic carbon(SOC),nutrients,pH,electrical conductivity,soil texture,and the abundance and number of species of soil macrofauna of the agricultural fields were *** agricultural fields were *** fields were orchards of apple,apricot or the mixture of apple and apricot trees and one field was a cropland,cultivated with wheat as a *** orchards were under conservation agricultural practices;whereas,the cropland was under conventional *** agricultural lands were 2-26 years *** concentration of soil organic matter(SOM)in the upper 0-10 cm depth of these field sites ranged from 11.6 g kg^(-1)to 32.8 g kg^(-1)*** compared to cropland,orchards had significantly higher concentration of SOM and SOC.A total of 18 soil macrofauna species were found and the most common and abundant were ants(Monomorium minimum,Camponotus pennsylvanicus,Solenopsis invicta,and Lasius niger)followed by Arion ssp.(Brown Slug)and earthworm Lumbricus *** analysis revealed non-significant relationship of the age and the concentration of SOM with the number of macrofauna species and with the concentrations of total mineral nitrogen,bioavailable phosphorus and *** existence of ants had no relationship with the concentration of SOM;whereas,existence of Lumbricus terrestris tended to had a positive relationship with the concentration of *** field of tree-based intercropping system was 2 years of age since the land was converted from rangeland to a cropland,had two ant species *** indicates the positive influence of crop diversification on soil

关键词： Soil organic matter Macrofauna Land use history Tree-based intercropping Conservation agriculture

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Investigation on Magnetorheological Effect of Novel Self-healing Magnetorheological Elastomers

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China Petroleum Processing & Petrochemical Technology 2024年第2期26卷 88-97页

作者： Wang Deping Wang Jing Wang Xin Noman tariq Yu Zhen Zheng Wenbo Wei Yintao General Research and Development Institute China FAW Corporation LimitedChangchun 130013 China School of Vehicle and Mobility Tsinghua UniversityBeijing 100084China

Magnetorheological elastomers(MREs)hold significant promise in various fields such as automotive engineering,and civil engineering,where they serve as intelligent *** on the application of an external magnetic field,these materials exhibit varying magnetorheological and viscoelastic properties,including shear stress,yield stress,dynamic moduli,and *** this work,a new type of MRE,termed self-healing MREs(SH-MREs),has been developed by adding a novel self-healing agent into existing *** dynamic modulus and loss factor of SH-MREs with different compositions have been characterized under various conditions of frequency,temperature,and *** results show that as the strain value increases,the loss factor also ***,the loss factor initially increases and then decreases with increasing magnetic field *** higher concentrations of ferromagnetic particles increase the loss factor,they enhance the operational range due to their better responsiveness to magnetic ***-MREs demonstrate improved damping capabilities,attributed to the formation of coordination bonds between ferromagnetic particles and the self-healing *** stable structure increases the viscosity of *** results of the regression model suggest a direct proportionality between sensitivity to the magnetic field and the ferromagnetic particle concentration.

关键词： magnetorheological elastomer magnetorheological effect storage modulus loss factor

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Evolution of light deflection and shadow from a gauge-potential-like AdS black hole under the influence of a non-magnetic plasma medium

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Communications in Theoretical Physics 2024年第9期76卷 83-94页

作者： Riasat Ali Xia Tiecheng muhammad Awais Rimsha Babar Department of Mathematics Shanghai University and Newtouch Center for Mathematics of Shanghai UniversityShanghai-200444China Department of Mathematics University of Engineering and Technology Lahore-54890Pakistan Department of Mathematics GC University Faisalabad Layyah CampusLayyah-31200Pakistan

We investigate the light deflection in the weak field approximation from the accelerating charged AdS black *** this purpose,we apply the Gauss–Bonnet theorem to calculate the light deflection in the weak field area and use the Gibbons–Werner approach to analyze the optical geometry of the accelerating charged AdS black hole in the non-magnetic plasma absence/presence of a non-magnetic *** also represent the graphical behavior of the light deflection angle *** impact *** also compute the light deflection angle using Keeton and Petters approximations under the impact of accelerating charged AdS black hole ***,by using the ray-tracing approach,we determine the shadow in the nonmagnetic plasma presence and also demonstrate that graphical shadow has an impact on the gauge potential,non-magnetic plasma frequencies and charge.

关键词： accelerating charged Ad S black hole Gibbons-Werner approach deflection angle ray-tracing approach shadow

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