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Google Scholar University Ranking Algorithm to Evaluate the Quality of Institutional Research

Computers, Materials & Continua 2023年第6期75卷 4955-4972页

作者： noor ul sabah Muhammad Murad Khan Ramzan Talib Muhammad Anwar Muhammad Sheraz Arshad Malik Puteri Nor Ellyza Nohuddin Department of Computer Science Government College UniversityFaisalabad 38000Pakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahore54000Pakistan Department of Software Engineering Government College UniversityFaisalabad 38000Pakistan Institute of IR4.0 Universiti Kebangsaan MalaysiaBangiSelangor43600Malaysia

Education quality has undoubtedly become an important local and international benchmark for education,and an institute’s ranking is assessed based on the quality of education,research projects,theses,and dissertations,which has always been ***,this research paper is influenced by the institutes ranking all over the *** data of institutes are obtained through Google Scholar(GS),as input to investigate the United Kingdom’s Research Excellence Framework(UK-REF)*** this purpose,the current research used a Bespoke Program to evaluate the institutes’ranking based on their *** bespoke program requires changes to improve the results by addressing these methodological issues:Firstly,Redundant profiles,which increased their citation and rank to produce false ***,the exclusion of theses and dissertation documents to retrieve the actual publications to count for ***,the elimination of falsely owned articles from scholars’*** accomplish this task,the experimental design referred to collecting data from 120 UK-REF institutes and GS for the present year to enhance its correlation analysis in this new *** data extracted from GS is processed into structured data,and afterward,it is utilized to generate statistical computations of citations’analysis that contribute to the ranking based on their *** research promoted the predictive approach of correlational ***,experimental evaluation reported encouraging results in comparison to the previous modi-fication made by the proposed *** paper discussed the limitations of the current evaluation and suggested the potential paths to improve the research impact algorithm.

关键词： Google scholar institutes ranking research assessment exercise research excellence framework impact evaluation citation data

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A Latency-Aware and Fault-Tolerant Framework for Resource Scheduling and Data Management in Fog-Enabled Smart City Transportation Systems

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Computers, Materials & Continua 2025年第1期82卷 1377-1399页

作者： Ibrar Afzal noor ul Amin Zulfiqar Ahmad Abdulmohsen Algarni Department of Computer Science and Information Technology Hazara UniversityMansehra21300Pakistan Department of Computer Science King Khalid UniversityAbha61421Saudi Arabia

Thedeployment of the Internet of Things(IoT)with smart sensors has facilitated the emergence of fog computing as an important technology for delivering services to smart environments such as campuses,smart cities,and smart transportation *** computing tackles a range of challenges,including processing,storage,bandwidth,latency,and reliability,by locally distributing secure information through end *** of endpoints,fog nodes,and back-end cloud infrastructure,it provides advanced capabilities beyond traditional cloud *** smart environments,particularly within smart city transportation systems,the abundance of devices and nodes poses significant challenges related to power consumption and system *** address the challenges of latency,energy consumption,and fault tolerance in these environments,this paper proposes a latency-aware,faulttolerant framework for resource scheduling and data management,referred to as the FORD framework,for smart cities in fog *** framework is designed to meet the demands of time-sensitive applications,such as those in smart transportation *** FORD framework incorporates latency-aware resource scheduling to optimize task execution in smart city environments,leveraging resources from both fog and cloud *** simulation-based executions,tasks are allocated to the nearest available nodes with minimum *** the event of execution failure,a fault-tolerantmechanism is employed to ensure the successful completion of *** successful execution,data is efficiently stored in the cloud data center,ensuring data integrity and reliability within the smart city ecosystem.

关键词： Fog computing smart cities smart transportation data management fault tolerance resource scheduling

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Use of clay as a pozzolona in high strength Portland cement and its thermal activation

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Chinese Journal Of Geochemistry 2010年第2期29卷 143-145页

作者： noor-ul-Amin Department of Chemistry Abdul Wali Khan University

In this investigation local clay from Cherat mines, Nowshera District, NWFP, Pakistan, has been tested as a pozzolanic material in high strength Portland cement. Thermal treatments were performed as a means of activation of the clay. It was found that thermal treatment of the clay can increase its pozzolanic activity. Different blended mortars, containing different amounts of clay, activated at different temperatures were studied for compressive strength, consistency, and setting times. It was concluded that the mechanical properties of the blended cements were mainly governed by the percentage of incorporation of the calcined clay. Blended cement composition has been for-mulated, with optimal results of 20% calcined clay at a temperature of 600℃.

关键词：高强度水泥烧粘土热激活火山灰活性混合水泥硅酸盐水泥巴基斯坦测试调查

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Forest cover dynamics in Palas Valley Kohistan, Hindu Kush-Himalayan Mountains, Pakistan

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Journal of Mountain Science 2021年第2期18卷 416-426页

作者： noor ul HAQ Fazlur RAHMAN Iffat TABASSUM MEHRAN Department of Geography University of PeshawarPeshawar 25120Pakistan Department of Urban and Regional Planning University of PeshawarPeshawar 25120Pakistan

Forest cover change in the mountainous region is driven by a variety of anthropogenic and natural *** Hindu Kush-Himalayan Mountains has experienced a considerable vegetation cover change due to intensive human activities,such as population growth,proximate causes,accessibility,unstable political situations,government policy failure and *** present study seeks to find out the impact of population growth and road network expansion on forest cover of Palas valley based on remotely sensed data and employing geospatial *** in forest cover were determined by classifying time-series satellite images of Landsat and Sentinel 2 *** images of October 1980,2000,2010 and 2017 were classified into six land cover classes and then the impact of population growth and accessibility on forest cover was ***,forest cover and land-use change detection map was prepared using classified images of 1980 and *** data were collected mainly from field visits(ground verification),census reports,Communication and Works Department,*** imageries were obtained from the United States Geological Survey’s websites and classified in ERDAS imagine 2014 and ESRI ArcGIS 10.2.1 using supervised classification-maximum likelihood *** of this study revealed that a substantial reduction in forest cover has taken place mainly in the proximity of human *** the average,during the study period,annually more than 460 hectares of forest area has been converted into other uses.

关键词： Forest cover changes Population growth Road networks Deforestation Palas Valley Pakistan

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Raw mix designing,clinkerization and manufacturing of high-strength Portland cement from the limestone and clay of Darukhula Nizampur,Nowshera District,North-West Frontier Province (N.W.F.P.),Pakistan

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Chinese Journal Of Geochemistry 2009年第3期28卷 279-283页

作者： noor-ul-Amin Tahir Shah Khurshid Ali Institute of Chemical Science University of PeshawarPakistan National Center of Excellence in Geology University of PeshawarPakistan

This paper covers the detailed version of the potential raw material deposits at Darukhula and the adjacent areas of Nizampur, the manufacturing of high-strength Portland cement samples from the same material and comparison of the physical and chemical parameters for resulting cement with British and Pakistan standard specifications, which include compressive strength, setting time, consistency, lechatelier expansion, Blaine and insoluble residue. It was found that the raw material available in the study area meets the standard specifications and the area is feasible for the cement plant installation. The area can provide raw material which is quite sufficient for the running of a cement plant.

关键词：水泥制造业巴基斯坦硅酸盐高强度石灰石设计生料边境

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Multistage-batch bipolar membrane electrodialysis for base production from high-salinity wastewater

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Frontiers of Chemical Science and Engineering 2022年第5期16卷 764-773页

作者： Arif Hussain Haiyang Yan noor ul Afsar Chenxiao Jiang Yaoming Wang Tongwen Xu Department of Applied Chemistry Anhui Provincial Engineering Laboratory of Functional Membrane Science and TechnologySchool of Chemistry and Materials ScienceUniversity of Science and Technology of ChinaHefei 230026China

Bipolar membrane electrodialysis(BMED)is considered a state-of-the-art technology for the conversion of salts into acids and ***,the low concentration of base generated from a traditional BMED process may limit the viability of this technology for a large-scale ***,we report an especially designed multistage-batch(two/three-stage-batch)BMED process to increase the base concentration by adjusting different volume ratios in the acid(Vacid),base(Vbase),and salt compartments(Vsalt).The findings indicated that performance of the two-stage-batch with a volume ratio of Vacid:Vbase:Vsalt=1:1:5 was superior in comparison to the threestage-batch with a volume ratio of Vacid:Vbase:Vsalt=1:1:***,the base concentration could be further increased by exchanging the acid produced in the acid compartment with fresh water in the second stage-batch *** the two-stage-batch BMED,the maximum concentration of the base can be obtained up to 3.40 mol∙L^(-1),which was higher than the most reported base production by *** low energy consumption and high current efficiency further authenticate that the designed process is reliable,cost-effective,and more productive to convert saline water into valuable industrial commodities.

关键词： bipolar membrane electrodialysis multistagebatch base production high-salinity wastewater

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Chemical study of limestone and clay for cement manufacturing in Darukhula,Nizampur District,Nowshera,North West Frontier Province(N.W.F.P.),Pakistan

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Chinese Journal Of Geochemistry 2008年第3期27卷 242-248页

作者： Khurshid Ali noor-ul-Amin M.Tahir Shah Institute of Chemical Sciences University of Peshawar Pakistan National Center of Excellence in Geology University of PeshawarPakistan

Limestone and clay samples were collected from Darukhula and adjoining areas of the Nizampur District,Nowshera,N.W.F.P.,Pakistan,and analyzed for different parameters in order to search for new reserves of suitable material for the manufacture of different types of cements in *** was found that the area under study contains three types of limestones,including high grade limestone,Darukhula limestone and siliceous limestone,which contain 53%,49.03% and 45.19% CaO,respectively,and three types of clay,including maroon color,yellow to yellowish-green color and green color clay containing 57.76%,65.47% and 61.24% SiO2,*** analysis of the limestone and clay samples collected from the deposits in the area under study showed that all the elements found in these samples are within the range of permissible limits for the production of high-strength Portland cement,sulphate resisting cement and white *** paper covers the detailed version of the potential raw material deposits at Darukhula and adjoining areas of the Nizampur District.

关键词：水泥原材料 N.W.F.P. 化学制品黏土

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State of Health Estimation of LiFePO_(4) Batteries for Battery Management Systems

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Computers, Materials & Continua 2022年第11期73卷 3149-3164页

作者： Areeb Khalid Syed Abdul Rahman Kashif noor ul Ain Ali Nasir Department of Electrical Engineering University of Engineering and TechnologyLahorePakistan Department of Electrical Engineering University of Central PunjabLahorePakistan

When considering the mechanism of the batteries,the capacity reduction at storage(when not in use)and cycling(during use)and increase of internal resistance is because of degradation in the chemical composition inside the *** optimize battery usage,a battery management system(BMS)is used to estimate possible aging effects while different load profiles are requested from the *** is specifically seen in a case when the vehicle is connected to the net(online through BMS).During this process,the BMS chooses the optimized load profiles based on the least aging effects on the battery *** major focus of this paper is to design an algorithm/model for lithium iron phosphate(LiFePO4)*** model of the batteries is based on the accelerated aging test data(data from the beginning of life till the end of life).The objective is to develop an algorithm based on the actual battery trend during the whole life of the *** the analysis of the test data,the complete trend of the battery aging and the factors on which the aging is depending on is identified,the aging model can then be recalibrated to avoid any differences in the production process during cell *** validation of the model was carried out at the end by utilizing different driving profiles at different C-rates and different ambient temperatures.A Linear and non-linear model-based approach is used based on statistical *** parameterization was carried out by dividing the data into small chunks and estimating the parameters for the individual ***-adaptive characteristic map using a lookup table was also *** nonlinear model was chosen as the best candidate among all other approaches for longer validation of 8-month data with real driving data set.

关键词： Aging model state of health lithium-ion cells battery management system state of charge battery modeling

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Identification of Software Bugs by Analyzing Natural Language-Based Requirements Using Optimized Deep Learning Features

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Computers, Materials & Continua 2024年第3期78卷 4379-4397页

作者： Qazi Mazhar ul Haq Fahim Arif Khursheed Aurangzeb noor ul Ain Javed Ali Khan Saddaf Rubab Muhammad Shahid Anwar Department of Computer Science and Engineering and International Bachelor’s Program in Informatics Yuan Ze UniversityZhongliTaoyuan320315Taiwan Department of Computer Science National University of PakistanRawalpindiPunjab46000Pakistan Department of Computer Software Engineering MCSNational University of Sciences and TechnologyIslamabad44000Pakistan Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Department of Computer Science School of PhysicsEngineering and Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK Department of Computer Engineering College of Computing and InformaticsUniversity of SharjahSharjah27272United Arab Emirates Department of AI and Software Gachon UniversitySeongnam-SI13120South Korea

Software project outcomes heavily depend on natural language requirements,often causing diverse interpretations and issues like ambiguities and incomplete or faulty *** are exploring machine learning to predict software bugs,but a more precise and general approach is *** bug prediction is crucial for software evolution and user training,prompting an investigation into deep and ensemble learning ***,these studies are not generalized and efficient when extended to other ***,this paper proposed a hybrid approach combining multiple techniques to explore their effectiveness on bug identification *** methods involved feature selection,which is used to reduce the dimensionality and redundancy of features and select only the relevant ones;transfer learning is used to train and test the model on different datasets to analyze how much of the learning is passed to other datasets,and ensemble method is utilized to explore the increase in performance upon combining multiple classifiers in a *** National Aeronautics and Space Administration(NASA)and four Promise datasets are used in the study,showing an increase in the model’s performance by providing better Area Under the Receiver Operating Characteristic Curve(AUC-ROC)values when different classifiers were *** reveals that using an amalgam of techniques such as those used in this study,feature selection,transfer learning,and ensemble methods prove helpful in optimizing the software bug prediction models and providing high-performing,useful end mode.

关键词： Natural language processing software bug prediction transfer learning ensemble learning feature selection

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Remote Health Monitoring Using IoT-Based Smart Wireless Body Area Network

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Computers, Materials & Continua 2021年第8期68卷 2499-2513页

作者： Farhan Aadil Bilal Mehmood Najam ul Hasan Sangsoon Lim Sadia Ejaz noor Zaman Computer Science Department COMSATS University IslamabadAttock Campus43600Pakistan Department of Electrical and Computer Engineering Dhofar UniversitySalalahOman Department of Computer Engineering Sungkyul UniversityAnyang430010Korea School of Computer Science and Engineering(SCE) Taylor’s UniversityMalaysia

A wireless body area network(WBAN)consists of tiny healthmonitoring sensors implanted in or placed on the human *** sensors are used to collect and communicate human medical and physiological data and represent a subset of the Internet of Things(IoT)*** are connected to medical servers that monitor patients’*** type of network can protect critical patients’lives due to the ability to monitor patients’health continuously and *** inter-WBAN communication provides a dynamic environment for patients allowing them to move ***,during patient movement,the WBAN patient nodes may become out of range of a remote base ***,to handle this problem,an efficient method for inter-WBAN communication is *** this study,a method using a cluster-based routing technique is *** the proposed method,a cluster head(CH)acts as a gateway between the cluster members and the external network,which helps to reduce the network’s *** clustering,the cluster’s lifetime is a vital parameter for network ***,to optimize the CH’s selection process,three evolutionary algorithms are employed,namely,the ant colony optimization(ACO),multi-objective particle swarm optimization(MOPSO),and the comprehensive learning particle swarm optimization(CLPSO).The performance of the proposed method is verified by extensive experiments by varying values of different parameters,including the transmission range,node number,node mobility,and grid size.A comprehensive comparative analysis of the three algorithms is conducted by extensive *** results show that,compared with the other methods,the proposed ACO-based method can form clusters more efficiently and increase network lifetime,thus achieving remarkable network and energy *** proposed ACO-based technique can also be used in other types of ad-hoc networks as well.

关键词： Wireless body area network clustering internet of things evolutionary algorithm ant colony optimization

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