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Optimization Algorithms of PERT/CPM Network Diagrams in Linear Diophantine Fuzzy Environment

Computer Modeling in Engineering & Sciences 2024年第4期139卷 1095-1118页

作者： Mani Parimala Karthikeyan Prakash ashraf Al-Quran muhammad Riaz Saeid Jafari Department of Mathematics Bannari Amman Institute of TechnologySathyamangalamTamil Nadu638401India Basic Sciences Department Preparatory Year DeanshipKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Mathematics University of the PunjabLahorePakistan College of Vestsjaelland South Herrestraede 11Slagelse4200Denmark

The idea of linear Diophantine fuzzy set(LDFS)theory with its control parameters is a strong model for machine learning and optimization under *** activity times in the critical path method(CPM)representation procedures approach are initially static,but in the Project Evaluation and Review Technique(PERT)approach,they are *** study proposes a novel way of project review and assessment methodology for a project network in a linear Diophantine fuzzy(LDF)*** LDF expected task time,LDF variance,LDF critical path,and LDF total expected time for determining the project network are all computed using LDF numbers as the time of each activity in the project *** primary premise of the LDF-PERT approach is to address ambiguities in project network activity timesmore simply than other approaches such as conventional PERT,Fuzzy PERT,and so *** LDF-PERT is an efficient approach to analyzing symmetries in fuzzy control systems to seek an optimal *** also present a new approach for locating LDF-CPM in a project network with uncertain and erroneous activity *** the available resources and activity times are imprecise and unpredictable,this strategy can help decision-makers make better judgments in a project.A comparison analysis of the proposed technique with the existing techniques has also been *** suggested techniques are demonstrated with two suitable numerical examples.

关键词： Linear Diophantine fuzzy graphs project management PERT CPM linear Diophantine fuzzy numbers score function accuracy function

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Ontology Driven Testing Strategies for IoT Applications

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Computers, Materials & Continua 2022年第3期70卷 5855-5869页

作者： muhammad Raza Naqvi muhammad Waseem Iqbal muhammad Usman ashraf Shafiq Ahmad Ahmed T.Soliman Shahzada Khurram muhammad Shafiq Jin-Ghoo Choi INP-ENIT University of ToulouseTarbes65000France Department of Software Engineering Superior UniversityLahore54000Pakistan University of Management and Technology Sialkot CampusPakistan Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia Faculty of Computing The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

Internet-of-Things(IoT)has attained a major share in embedded software *** new era of specialized intelligent systems requires adaptation of customized software engineering ***,software engineering has merged the development phases with the technologies provided by industrial *** improvements are still required in testing phase for the software developed to IoT *** research aims to assist in developing the testing strategies for IoT applications,therein ontology has been adopted as a knowledge representation technique to different software engineering *** proposed ontological model renders 101 methodology by using Protégé.After completion,the ontology was evaluated in three-dimensional view by the domain experts of software testing,IoT and ontology *** results of the research are showed in interest of the specialists regarding proposed ontology development and suggestions for *** Proposed reasoning-based ontological model for development of testing strategies in IoT application contributes to increase the general understanding of tests in addition to assisting for the development of testing strategies for different IoT devices.

关键词： Ontology software testing internet of things automation

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Intelligent Systems and Photovoltaic Cells Empowered Topologically by Sudoku Networks

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Computers, Materials & Continua 2023年第2期74卷 4221-4238页

作者： Khalid Hamid muhammad Waseem Iqbal MUsman ashraf Akber Abid Gardezi Shafiq Ahmad Mejdal Alqahtani muhammad Shafiq Department of Computer Science Superior UniversityLahore54000Pakistan Department of Software Engineering Superior UniversityLahore54000Pakistan Department of Computer Science GC Women UniversitySialkot51310Pakistan Department of Computer Science COMSATS University IslamabadIslamabad45550Pakistan Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

A graph invariant is a number that can be easily and uniquely calculated through a ***,part of mathematical graph invariants has been portrayed and utilized for relationship ***,no reliable appraisal has been embraced to pick,how much these invariants are associated with a network graph in interconnection networks of various fields of computer science,physics,and *** this paper,the study talks about sudoku networks will be networks of fractal nature having some applications in computer science like sudoku puzzle game,intelligent systems,Local area network(LAN)development and parallel processors interconnections,music composition creation,physics like power generation interconnections,Photovoltaic(PV)cells and chemistry,synthesis of chemical *** networks are generally utilized in disorder,fractals,recursive groupings,and complex *** outcomes are the normal speculations of currently accessible outcomes for specific classes of such kinds of networks of two unmistakable sorts with two invariants K-banhatti sombor(KBSO)invariants,Irregularity sombor(ISO)index,Contraharmonic-quadratic invariants(CQIs)and dharwad invariants with their reduced *** study solved the Sudoku network used in mentioned systems to improve the performance and find irregularities present in *** calculated outcomes can be utilized for the modeling,scalability,introduction of new architectures of sudoku puzzle games,intelligent systems,PV cells,interconnection networks,chemical compounds,and extremely huge scope in very large-scale integrated circuits(VLSI)of processors.

关键词： Sudoku dharwad KBSO indices CQIs network graph intelligent system photovoltaic cells

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Bioaugmentation of a novel bacterial consortium in cotton-planted soil for lambda-cyhalothrin degradation

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Pedosphere 2024年第6期34卷 1100-1110页

作者： Samina ANWAR Anusha LIAQAT Asma MUNIR muhammad F.ashraf Samina IQBAL Soil & Environmental Biotechnology Division National Institute for Biotechnology & Genetic Engineering College Pakistan Institute of Engineering &Applied Sciences (NIBGE-CPIEAS) Department of Chemistry Government College Women University

Extensive use of lambda-cyhalothrin（LC） for agricultural and domestic pest control leads to the accumulation of its residues in soil and water,which poses a serious threat to the *** of LC at the point source is the most effective way to avoid its spread and harmful ***,this study was planned to investigate the potential of indigenously isolated bacteria for the remediation of LC in cotton-vegetated *** potent LC-degrading bacteria,Brucella intermedia Halol,Alcaligenes faecalis CH1S,and Aquamicrobium terrae CH1T,were isolated from a pyrethroid-contaminated soil.A consortium CHST comprising these three strains was found to exhibit a higher potential for LC degradation as compared to the individual *** degradation of LC by CHST was optimized for four varying factors,i.e.,pH,inoculum density（ID）,carbon source（CS）,and initial pesticide（i.e.,LC）concentration（PC）,by applying Taguchi design of *** contributions of these factors to the biodegradation of LC were found to be in the order of pH> CS> PC> *** enhanced degradation of LC（84%） was attained at pH 7.0 in minimum salt medium containing 10 mg L-1LC and 3% *** consortium CHST was also augmented in sterilized and unsterilized soil microcosms at three PCs,i.e.,2,5,and 10 mg *** 21 d of incubation,complete LC degradation was achieved at 2 mg kg-1PC in sterilized as well as unsterilized soil,whereas at higher PCs,the extent of degradation was comparatively *** PC of 5 mg kg-1,88% and 96% LC degradation were observed in sterilized and unsterilized soils,respectively,compared to 79% and90% degradation at 10 mg kg-1,*** biodegradation,the major metabolite of LC,i.e.,3-phenoxybenzoic acid,was produced and further *** a cotton-planted soil spiked with 10 mg kg-1LC,the consortium degraded 91.8% LC,as well as improving the agronomic parameters of the cotton *** a nutshell,the consortium CHST was found to be a promising

关键词： 3-phenoxybenzoic acid bioremediation HPLC analysis pesticide point source of contamination pyrethroids Taguchi design of experiment

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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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Automatic Detection of Outliers in Multi-Channel EMG Signals Using MFCC and SVM

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Intelligent Automation & Soft Computing 2023年第4期36卷 169-181页

作者： muhammad irfan Khalil Ullah Fazal muhammad Salman Khan Faisal Althobiani muhammad Usman Mohammed Alshareef Shadi Alghaffari Saifur Rahman Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia Department of Software Engineering University of MalakandDir LowerPakistan Department of Electrical Engineering University of Engineering and TechnologyMardan23200Pakistan Faculty of Maritime Studies King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science University of Engineering and TechnologyMardan23200Pakistan

The automatic detection of noisy channels in surface Electromyogram(sEMG)signals,at the time of recording,is very critical in making a noise-free EMG *** an EMG signal contaminated by high-level noise is recorded,then it will be useless and can’t be used for any healthcare *** this research work,a new machine learning-based paradigm is proposed to automate the detection of low-level and high-level noises occurring in different channels of high density and multi-channel sEMG signals.A modiﬁed version of mel fre-quency cepstral coefﬁcients(mMFCC)is proposed for the extraction of features from sEMG channels along with other statistical parameters i-e complexity coef-ﬁcient,hurst exponent,and root mean *** state-of-the-art classiﬁers such as Support Vector Machine(SVM),Ensemble Bagged Trees,Ensemble Sub-space Discriminant,and Logistic Regression are used to automatically identify an EMG channel either bad or good based on these extracted ***-based analyses of these classiﬁers have also been considered based on total classi-ﬁcation accuracy,prediction speed(observations/sec),and processing *** proposed method is tested on 320 simulated EMG channels as well as 640 experi-mental EMG *** is used as our main classiﬁer for the detection of noisy channels which gives a total classiﬁcation accuracy of 99.4%for simulated EMG channels whereas accuracy of 98.9%is achieved for experimental EMG channels.

关键词： Machine learning surface electromyography support vector machine classiﬁcation features

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Reservoir Quality Assessment of the Upper Permian Chhidru Formation, Salt and Surghar Ranges, Pakistan

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Acta Geologica Sinica(English Edition) 2021年第6期95卷 2120-2137页

作者： muhammad ZAHIR muhammad AWAIS Mukhtiar GHANI Mohibullah MOHIBULLAH Osman SALAD HERSI irfan U.JAN Sajjad AHMAD Hamid IQBAL Centre of Excellence in Mineralogy University of BalochistanQuetta 87300Pakistan Department of Geology University of SwabiAnbarKhyber Pakhtunkhwa 23561Pakistan Geological Survey of Pakistan HQQuetta 87300Pakistan Department of Geology University of BalochistanQuetta 87300Pakistan University of Regina Geology 3737 Wascana Parkway ReginaSaskatchewan S4S0A2Canada National Centre of Excellence in Geology University of PeshawarPeshawar 25000Pakistan Department of Geology University of PeshawarPeshawar 25000Pakistan Oil and Gas Development Company Islamabad 44800Pakistan

The Late Permian succession of the Upper Indus Basin in northeastern Pakistan is represented by the carbonatedominated Zaluch Group, which consists of the Amb, Wargal and Chhidru formations, which accumulated on the southwestern shelf of the Paleo-Tethys Ocean, north of the hydrocarbon-producing Permian strata of the Arabian Peninsula. The reservoir properties of the mixed clastic-carbonate Chhidru Formation(CFm) are evaluated based on petrography, using scanning electron microscopy(SEM), energy dispersive x-ray spectroscopy(EDX) and x-ray diffraction(XRD) techniques. The diagenetic features are recognized, ranging from marine(isopachous fibrous calcite, micrite), through meteoric(blocky calcite-I, neomorphism and dissolution) to burial(poikilotopic cement, blocky calcite-II-III, fractures, fracture-filling, and stylolites). Major porosity types include fracture and moldic, while inter-and intra-particle porosities also exist. Observed visual porosity ranges from 1.5%–7.14% with an average of 5.15%. The sandstone facies(CMF-4) has the highest average porosity of 10.7%, whereas the siliciclastic grainstone microfacies(CMF-3) shows an average porosity of 5.3%. The siliciclastic mudstone microfacies(CMF-1) and siliciclastic wacke-packestone microfacies(CMF-2) show the lowest porosities of 4.8% and 5.0%, respectively. Diagenetic processes like cementation, neomorphism, stylolitization and compaction have reduced the primary porosities;however, processes of dissolution and fracturing have produced secondary porosity. On average, the CFm in the Nammal Gorge, Salt Range shows promise and at Gula Khel Gorge, Trans-Indus, the lowest porosity.

关键词： sedimentary petrography diagenesis hydrocarbon reservoir Changhsingian Chhidru Formation Salt Range Surghar Range Pakistan

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Optimized Evaluation of Mobile Base Station by Modern Topological Invariants

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Computers, Materials & Continua 2023年第1期74卷 363-378页

作者： Khalid Hamid muhammad Waseem Iqbal muhammad Usman ashraf Ahmed Mohammed Alghamdi Adel A.Bahaddad Khalid Ali Almarhabi Department of Computer Science Superior UniversityLahore54000Pakistan Department of Software Engineering Superior UniversityLahore54000Pakistan Department of Computer Science GC Women UniversitySialkot53310Pakistan Department of Software Engineering College of Computer Science and EngineeringUniversity of Jeddah21493Saudi Arabia Department of Information System Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science College of Computing in Al-QunfudahUmm Al-Qura UniversityMakkah24381Saudi Arabia

Due to a tremendous increase in mobile traffic,mobile operators have started to restructure their networks to offload their *** directions will lead to fundamental changes in the design of future Fifthgeneration(5G)cellular *** the formal reason,the study solves the physical network of the mobile base station for the prediction of the best characteristics to develop an enhanced network with the help of graph *** number that can be uniquely calculated by a graph is known as a graph *** the last two decades,innumerable numerical graph invariants have been portrayed and used for correlation *** any case,no efficient assessment has been embraced to choose,how much these invariants are connected with a network *** paper will talk about two unique variations of the hexagonal graph with great capability of forecasting in the field of optimized mobile base station topology in setting with physical *** K-banhatti sombor invariants(KBSO)and Contrharmonic-quadratic invariants(CQIs)are newly introduced and have various expectation characteristics for various variations of hexagonal graphs or *** the hexagonal networks are used in mobile base stations in layered,forms called *** review settled the topology of a hexagon of two distinct sorts with two invariants KBSO and CQIs and their reduced *** deduced outcomes can be utilized for the modeling of mobile cellular networks,multiprocessors interconnections,microchips,chemical compound synthesis and memory interconnection *** results find sharp upper bounds and lower bounds of the honeycomb network to utilize the Mobile base station network(MBSN)for the high load of traffic and minimal traffic also.

关键词： Hexagonal networks k-banhatti sombor invariants maple network graph artificial intelligence contraharmonic-quadratic invariants honeycomb

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Flexible Global Aggregation and Dynamic Client Selection for Federated Learning in Internet of Vehicles

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Computers, Materials & Continua 2023年第11期77卷 1739-1757页

作者： Tariq Qayyum Zouheir Trabelsi Asadullah Tariq muhammad Ali Kadhim Hayawi irfan Ud Din College of Information Technology United Arab Emirates UniversityAl Ain17551UAE Department of Computing School of EECSNational University of Sciences and TechnologyIslamabad44000Pakistan College of Technological Innovation Zayed UniversityAbu Dhabi144534UAE Department of Computer Science The Superior UniversityLahore54000Pakistan

Federated Learning(FL)enables collaborative and privacy-preserving training of machine learning models within the Internet of Vehicles(IoV)*** FL effectively tackles privacy concerns,it also imposes significant resource *** traditional FL,trained models are transmitted to a central server for global aggregation,typically in the *** approach often leads to network congestion and bandwidth limitations when numerous devices communicate with the same *** need for Flexible Global Aggregation and Dynamic Client Selection in FL for the IoV arises from the inherent characteristics of IoV *** include diverse and distributed data sources,varying data quality,and limited communication *** employing dynamic client selection,we can prioritize relevant and high-quality data sources,enhancing model *** address this issue,we propose an FL framework that selects global aggregation nodes dynamically rather than a single fixed *** global aggregation ensures efficient utilization of limited network resources while accommodating the dynamic nature of IoV data *** approach optimizes both model performance and resource allocation,making FL in IoV more effective and *** selection of the global aggregation node is based on workload and communication speed ***,our framework overcomes the constraints associated with network,computational,and energy resources in the IoV environment by implementing a client selection algorithm that dynamically adjusts participants according to predefined *** approach surpasses Federated Averaging(FedAvg)and Hierarchical FL(HFL)regarding energy consumption,delay,and accuracy,yielding superior results.

关键词： IoT Federated Learning sensors IoV OMNeT++ edge computing

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Conversion of adverse data corpus to shrewd output using sampling metrics

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Visual Computing for Industry,Biomedicine,and Art 2020年第1期3卷 202-214页

作者： Shahzad ashraf Sehrish Saleem Tauqeer Ahmed Zeeshan Aslam Durr muhammad College of Internet of Things Engineering Hohai UniversityChangzhouJiangsu 210032China muhammad Nawaz Sharif University of Engineering&Technology Multan 66000Pakistan Petroweld Kurdistan Region Erbil 42002Iraq Pakistan Steel Mills Karachi Karachi 75200Pakistan

An imbalanced dataset is commonly found in at least one class,which are typically exceeded by the other ones.A machine learning algorithm(classifier)trained with an imbalanced dataset predicts the majority class(frequently occurring)more than the other minority classes(rarely occurring).Training with an imbalanced dataset poses challenges for classifiers;however,applying suitable techniques for reducing class imbalance issues can enhance classifiers’*** this study,we consider an imbalanced dataset from an educational ***,we examine all shortcomings regarding the classification of an imbalanced ***,we apply data-level algorithms for class balancing and compare the performance of *** performance of the classifiers is measured using the underlying information in their confusion matrices,such as accuracy,precision,recall,and F *** results show that classification with an imbalanced dataset may produce high accuracy but low precision and recall for the minority *** analysis confirms that undersampling and oversampling are effective for balancing datasets,but the latter dominates.

关键词： Classification Machine learning Spread subsampling Class imbalance

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