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Computer Modeling in Engineering & Sciences 2025年第1期142卷 501-530页

作者： Khuram Ali Khan Saba Mubeen Ishfaq Atiqe Ur Rahman Salwa El-Morsy Department of Mathematics University of SargodhaSargodha40100Pakistan Department of Mathematics University of Management and TechnologyLahore54000Pakistan Department of Mathematics College of ScienceQassim UniversityBuraydah51452Saudi Arabia

Due to the numerous variables to take into account as well as the inherent ambiguity and uncertainty,evaluating educational institutions can be *** concept of a possibility Pythagorean fuzzy hypersoft set(pPyFHSS)is more flexible in this regard than other theoretical fuzzy set-like models,even though some attempts have been made in the literature to address such *** study investigates the elementary notions of pPyFHSS including its set-theoretic operations union,intersection,complement,OR-and *** results related to these operations are also modified for ***,the similarity measures between pPyFHSSs are formulated with the assistance of numerical examples and ***,an intelligent decision-assisted mechanism is developed with the proposal of a robust algorithm based on similarity measures for solving multi-attribute decision-making(MADM)problems.A case study that helps the decision-makers assess the best educational institution is discussed to validate the suggested *** algorithmic results are compared with the most pertinent model to evaluate the adaptability of pPyFHSS,as it generalizes the classical possibility fuzzy set-like theoretical ***,while considering significant evaluating factors,the flexibility of pPyFHSS is observed through structural comparison.

关键词： Hypersoft set Pythagorean fuzzy hypersoft set computational complexity multi-attribute decision-making optimization similarity measures uncertainty

Solid Waste management:A MADM Approach Using Fuzzy Parameterized Possibility Single-Valued Neutrosophic Hypersoft Expert Settings

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 531-553页

作者： Tmader Alballa Muhammad Ihsan Atiqe Ur Rahman Noorah Ayed Alsorayea Hamiden Abd El-Wahed Khalifa Department of Mathematics College of SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia 2 Department of Mathematics University of Management and TechnologyLahore54000Pakistan Department of Mathematics College of ScienceQassim UniversityBuraydah51452Saudi Arabia

The dramatic rise in the number of people living in cities has made many environmental and social problems *** search for a productive method for disposing of solid waste is the most notable of these *** scholars have referred to it as a fuzzy multi-attribute or multi-criteria decision-making problem using various fuzzy set-like approaches because of the inclusion of criteria and anticipated *** goal of the current study is to use an innovative methodology to address the expected uncertainties in the problem of solid waste site *** characteristics(or sub-attributes)that decision-makers select and the degree of approximation they accept for various options can both be indicators of these *** tackle these problems,a novel mathematical structure known as the fuzzy parameterized possibility single valued neutrosophic hypersoft expert set(ρˆ-set),which is initially described,is integrated with a modified version of Sanchez’s *** this,an intelligent algorithm is *** steps of the suggested algorithm are explained with an example that explains *** compatibility of solid waste management sites and systems is discussed,and rankings are established along with detailed justifications for their *** study’s strengths lie in its application of fuzzy parameterization and possibility grading to effectively handle the uncertainties embodied in the parameters’nature and alternative approximations,*** uses specific mathematical formulations to compute the fuzzy parameterized degrees and possibility grades that are missing from the prior *** is simpler for the decisionmakers to look at each option separately because the decision is *** the computed results,it is discovered that they are consistent and dependable because of their preferred properties.

关键词： Hypersoft expert set Sanchez’s method decision making optimization solid waste management possibility grade fuzzy parameterization

Micro-strain regulation strategy to stabilize perovskite lattice based on the categories and impact of strain on perovskite solar cells

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Journal of Energy Chemistry 2025年第1期100卷 578-604页

作者： Caixia Li Wenwu Liu Shiji Da Lingbin Kong Fen Ran State Key Laboratory of Advanced Processing and Recycling of Nonferrous Metals Lanzhou University of Technology School of Materials Science and Engineering Lanzhou University of Technology

Photovoltaic metal halide perovskite solar cells(PSCs) convert light to electricity more efficiently than crystalline silicon cells, and the cost of materials used to make them is lower than that of silicon *** efficiency is not a core issue affecting the application of perovskite solar cells in special *** present, stability is the major technical encounters that hinders its further commercial development. Microstrain in PSCs is currently a significant factor responsible for the device's instability. Strain-induced ion migration is widely believed to accelerate perovskite degradation even when external stimuli are ***, it is imperative to study strain to enhance the stability of PSCs. This paper reviews recent developments to understand strain's origin and effect mechanisms on performance of PSCs, including ion migration,failure behavior, defect formation, and its effect on photoelectric properties, stability, and ***, several well-known strain management strategies are systematically introduced based on the strain effect mechanism and strain engineering on the film, providing more clues for further preparation with increased stability. The manipulation of external physical strain applied from films to entire devices has been extensively studied. Furthermore, recommendations for future research directions and chemical approaches have been provided. It is emphasized that strain engineering plays a crucial role in improving the efficiency and longevity of PSCs. Tensile strain causes rapid degradation, while moderate compressive strain and external strain control could improve properties and stability. Efforts should focus on controlling compressive strain to mitigate residual tensile strain and introducing it in a controlled manner. Future research endeavors may focus on exploring these pathways to improve the efficiency and lifespan of PSCs.

关键词： Halide perovskite solar cells Strain origins Strain effects Strain management

Fingerprint matching,spoof and liveness detection:classification and literature review

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Frontiers of Computer Science 2021年第1期15卷 179-196页

作者： Syed Farooq ALI Muhammad Aamir KHAN Ahmed Sohail ASLAM Department of Software Engineering University of Management and TechnologyLahore 54770Pakistan Department of Informatics and Systems University of Management and TechnologyLahore 54770Pakistan Department of Computer Science University of Management and TechnologyLahore 54770Pakistan

Fingerprint matching,spoof mitigation and liveness detection are the trendiest biometric techniques,mostly because of their stability through life,uniqueness and their least risk of *** recent decade,several techniques are presented to address these challenges over well-known *** study provides a comprehensive review on the fingerprint algorithms and techniques which have been published in the last few *** divides the research on fingerprint into nine different approaches including feature based,fuzzy logic,holistic,image enhancement,latent,conventional machine learning,deep learning,template matching and miscellaneous *** these,deep learning approach has outperformed other approaches and gained significant attention for future *** reviewing fingerprint literature,it is historically divided into four eras based on 106 referred papers and their cumulative citations.

关键词： computer society template matching fingerprint recognition survey deep learning machine learning

Theoretical Investigation of Two-Dimensional Nonlinear Radiative Thermionics in Nano-MHD for Solar Insolation:A Semi-Empirical Approach

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Computer Modeling in Engineering & Sciences 2022年第2期130卷 751-776页

作者： Usman Inayat Shaukat Iqbal Tareq Manzoor School of Systems and technology University of Management and TechnologyLahore54000Pakistan Energy Research Centre COMSATS University IslamabadLahore CampusLahore54000Pakistan

In this contemporary study,theoritical investigation of nanofluidic model is ***-dimensional nanomaterials based mixed flow is considered *** solar radiative heat transport properties have been investigated over a nonlinearly stretched wall in the presence of magneto-hydrodynamic(MHD),by innovative application of semi analytical“optimal homotopy asymptotic method(OHAM)”.OHAM does not require any discretization,linearization and small parameter *** describes extremely precise 1^(st)/2^(nd) order solutions without the need of computing further higher order terms,therefore,fast convergence is *** governing model is transformed into system of ordinary differential equations(ODEs)by exploitation of similarity *** study the significance of radiation parameter alongwith thermophoresis parameter,a semi analytical solver is applied to the transformed *** this work,Brownianmotion,influence ofmagnetic field,Lewis number,Prandtl number,Eckert number and Biot number have investigated on velocity,temperature and nanoparticle concentration *** study provides sufficient number of graphical representations to demonstrate the inspiration of mentioned parameters.

关键词： Magneto-hydrodynamic(MHD) OHAM nanofluid solar radiative stretched wall

Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 467-500页

作者： Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models Duc-Dam Nguyen Nguyen Viet Tiep Quynh-Anh Thi Bui Hiep Van Le Indra Prakash Romulus Costache Manish Pandey Binh Thai Pham Faculty of Civil Engineering University of Transport TechnologyThanh XuanHa Noi100000Vietnam Faculty of Hydraulic Engineering Hanoi University of Civil EngineeringHa Noi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India Research Institute of the university of Bucharest Bucharest050663Romania National Institute of Hydrology and Water management Bucharest013686Romania Department of Civil Engineering Transilvania University of BrasovBrasov500152Romania Danube Delta National Institute for Research and Development Tulcea820112Romania Marwadi university Research Center(MURC) Marwadi UniversityRajkotGujaratBharat360003India Department of Civil Engineering Faculty of Engineering&TechnologyMarwadi UniversityRajkotGujaratBharat360003India

This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand,India,using advanced ensemble models that combined Radial Basis Function Networks(RBFN)with three ensemble learning techniques:DAGGING(DG),MULTIBOOST(MB),and ADABOOST(AB).This combination resulted in three distinct ensemble models:DG-RBFN,MB-RBFN,and ***,a traditional weighted method,Information Value(IV),and a benchmark machine learning(ML)model,Multilayer Perceptron Neural Network(MLP),were employed for comparison and *** models were developed using ten landslide conditioning factors,which included slope,aspect,elevation,curvature,land cover,geomorphology,overburden depth,lithology,distance to rivers and distance to *** factors were instrumental in predicting the output variable,which was the probability of landslide *** analysis of the models’performance indicated that the DG-RBFN model,with an Area Under ROC Curve(AUC)of 0.931,outperformed the other *** AB-RBFN model achieved an AUC of 0.929,the MB-RBFN model had an AUC of 0.913,and the MLP model recorded an AUC of *** results suggest that the advanced ensemble ML model DG-RBFN was more accurate than traditional statistical model,single MLP model,and other ensemble models in preparing trustworthy landslide susceptibility maps,thereby enhancing land use planning and decision-making.

关键词： Landslide susceptibility map spatial analysis ensemble modelling information values(IV)

Error Detection and Pattern Prediction Through Phase II Process Monitoring

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Computers, Materials & Continua 2022年第3期70卷 4781-4802页

作者： Azam Zaka Riffat Jabeen Kanwal Iqbal Khan Government Graduate College of Science Wahdat RoadLahorePakistan COMSATS university Islamabad Lahore CampusLahorePakistan Institute of Business&management University of Engineering and TechnologyLahorePakistan

The continuous monitoring of the machine is beneficial in improving its process reliability through reflected power function *** is substantial for identifying and removing errors at the early stages of production that ultimately benefit the firms in cost-saving and quality *** current study introduces control charts that help the manufacturing concerns to keep the production process in *** presents an exponentially weighted moving average and extended exponentially weighted moving average and then compared their *** percentiles estimator and the modified maximum likelihood estimator are used to constructing the control *** findings suggest that an extended exponentially weighted moving average control chart based on the percentiles estimator performs better than exponentially weightedmoving average control charts based on the percentiles estimator and modified maximum likelihood ***,these results will help the firms in the early detection of errors that enhance the process reliability of the telecommunications and financing industry.

关键词： Reflected power function distribution exponentially weighted moving average extended exponentially weighted moving averages modified maximum likelihood estimator percentile estimator

Interpretable and Adaptable Early Warning Learning Analytics Model

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Computers, Materials & Continua 2022年第5期71卷 3211-3225页

作者： Shaleeza Sohail Atif Alvi Aasia Khanum The university of Newcastle Sydney2000Australia university of management and technology Lahore54770Pakistan Forman Christian College Lahore54600Pakistan

Major issues currently restricting the use of learning analytics are the lack of interpretability and adaptability of the machine learning models used in this *** makes it easy for the stakeholders to understand the working of these models and adaptability makes it easy to use the same model for multiple cohorts and courses in educational ***,some models in learning analytics are constructed with the consideration of interpretability but their interpretability is not ***,adaptability is not specifically considered in this *** paper presents a new framework based on hybrid statistical fuzzy theory to overcome these *** also provides explainability in the form of rules describing the reasoning behind a particular *** paper also discusses the system evaluation on a benchmark dataset showing promising *** measure of explainability,fuzzy index,shows that the model is highly *** system achieves more than 82%recall in both the classification and the context adaptation stages.

关键词： Learning analytics interpretable machine learning fuzzy systems early warning interpretability explainable artificial intelligence

Medical decision support systems based on Fuzzy Cognitive Maps

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International Journal of Biomathematics 2019年第6期12卷 147-180页

作者： Shaista Habib Muhaiijmad Akram Punjab university College of Information technology university of the.Punjab LahorePakistan School of Systems and technology university of management and technology lahore Pakistan Department of Mathematics University of the Punjab New CampusLahorePakistan

This paper determines the risk for cardiovascular diseases(CVDs).and nutrition level in infants aged 06 montlis using Fuzzy Cognitive Maps(FCMs).The aim of this study is to facilitates the medical experts to early detects these diseases with accuracy,so that overall death ratio can be ***,we have introduced the concepts of FCMs and briefly refer to the applications of these methods in *** that,two intel ligent decision support systems for cardiovascular and malnutrition are developed using *** proposed cardiovascular risk assessment system takes six inputs:chest pain,cholesterol,heart rate,blood pressure,blood sugar,and old peak and determines CVDs *** second decision support system of malnutrition diagnosis takes twelve inputs:breastfeeding,daily income,maternal education,colostrum intake,energy intake,protein intake,vitamin A intake,iron intake,family size,height,weight,head circumference,and skin fold thickness and diagnoses the nutrition level in *** have explained the working of both decision support systems using case studies.

关键词： Fuzzy sets fuzzy cognitive maps algorithm time complexity cardiovascular diseases malnutrition.

A Cost-Efficient Environment Monitoring Robotic Vehicle for Smart Industries

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Computers, Materials & Continua 2022年第4期71卷 473-487页

作者： Arfat Ahmad Khan Chitapong Wechtaisong Faizan Ahmed Khan Nadeem Ahmad Suranaree university of technology Nakhon Ratchasima30000Thailand university of Engineering and technology LahorePakistan The university of lahore LahorePakistan

Environmental monitoring is essential for accessing and avoiding the undesirable situations in industries along with ensuring the safety of ***,inspecting and monitoring of environmental parameters by humans lead to various health concerns,which in turn brings to the requirement of monitoring the environment by *** this paper,we have designed and implemented a cost-efficient robotic vehicle for the computation of various environmental parameters such as temperature,radiation,smoke,and pressure with the help of ***,the robotic vehicle is designed in such a way that it can be dually controlled by using the remote control along with the distant *** addition,contrary to the existing researches,the GSM modules are used to achieve the two-way long distance communication between the robotic vehicle and the distant *** the distant computer,the above-mentioned environmental parameters can be monitored along with controlling the robotic vehicle with the help of Graphical User Interface(GUI).In order to fulfill the given tasks,we have proposed two algorithms implemented at the robotic vehicle and the distant computer respectively in this *** final results validate the proposed algorithms where the above-mentioned environmental parameters can be monitored along with the smooth-running operation of the robotic vehicle.

关键词： Industry 4.0 sensors robotic vehicle distant communication environment monitoring