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Improved Hybrid Deep Collaborative Filtering Approach for True Recommendations

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Computers, Materials & Continua 2023年第3期74卷 5301-5317页

作者： Muhammad Ibrahim imran sarwar bajwa Nadeem sarwar Haroon Abdul Waheed Muhammad Zulkifl Hasan Muhammad Zunnurain Hussain Department of Computer Science The Islamia University of BahawalpurBahawalpurPakistan Department of Computer Science Bahria University Lahore CampusLahorePakistan Software Engineering Department Faculty of ITUniversity of Central PunjabLahorePakistan Faculty of Computer Science and Information Technology Universiti Putra MalaysiaSelangorMalaysia

Recommendation services become an essential and hot research topic for researchers *** data such asReviews play an important role in the recommendation of the *** was achieved by deep learning approaches for capturing user and product information from a short ***,such previously used approaches do not fairly and efficiently incorporate users’preferences and product *** proposed novel Hybrid Deep Collaborative Filtering(HDCF)model combines deep learning capabilities and deep interaction modeling with high performance for True *** overcome the cold start problem,the new overall rating is generated by aggregating the Deep Multivariate Rating DMR(Votes,Likes,Stars,and Sentiment scores of reviews)from different external data sources because different sites have different rating scores about the same product that make confusion for the user to make a decision,either product is truly popular or *** proposed novel HDCF model consists of four major modules such as User Product Attention,Deep Collaborative Filtering,Neural Sentiment Classifier,and Deep Multivariate Rating(UPA-DCF+NSC+DMR)to solve the addressed *** results demonstrate that our novel model is outperforming state-of-the-art IMDb,Yelp2013,and Yelp2014 datasets for the true top-n recommendation of products using HDCF to increase the accuracy,confidence,and trust of recommendation services.

关键词： Neural sentiment classification user product attention deep collaborative filtering multivariate rating artificial intelligence

Leaching Fraction (LF) of Irrigation Water for Saline Soils Using Machine Learning

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Intelligent Automation & Soft Computing 2023年第5期36卷 1915-1930页

作者： Rab Nawaz Bashir imran sarwar bajwa Muhammad Waseem Iqbal Muhammad Usman Ashraf Ahmed Mohammed Alghamdi Adel ABahaddad Khalid Ali Almarhabi Department of Computer Science COMSATS University IslamabadVehari CampusPakistan Department of Computer Science and IT Islamia University BahawalpurPakistan Department of Software Engineering Superior University Lahore54000Pakistan 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

Soil salinity is a serious land degradation issue in *** is a major threat to agriculture *** irrigation water is applied to leach down the salts from the root zone of the plants in the form of a Leaching fraction(LF)of irrigation *** the leaching process to be effective,the LF of irriga-tion water needs to be adjusted according to the environmental conditions and soil salinity level in the form of Evapotranspiration(ET)*** relationship between environmental conditions and ET rate is hard to be deﬁned by a linear relationship and data-driven Machine learning(ML)based decisions are required to determine the calibrated Evapotranspiration(ETc)***-assisted ETc is pro-posed to adjust the LF according to the ETc and soil salinity level.A regression model is proposed to determine the ETc rate according to the prevailing tempera-ture,humidity,and sunshine,which would be used to determine the smart LF according to the ETc and soil salinity *** proposed model is trained and tested against the Blaney Criddle method of Reference evapotranspiration(ETo)*** validation of the model from the test dataset reveals the accu-racy of the ML model in terms of Root mean squared errors(RMSE)are 0.41,Mean absolute errors(MAE)are 0.34,and Mean squared errors(MSE)are 0.28 mm *** applications of the proposed solution in a real-time environ-ment show that the LF by the proposed solution is more effective in reducing the soil salinity as compared to the traditional process of leaching.

关键词： Leaching fraction saline soil evapotranspiration machine learning calibrated evapotranspiration artiﬁcial intelligence blaney criddle method

Development of Molecular Marker Linked with Cercospora Leaf Spot (CLS) Disease Resistance in Vigna radiata, Cloning, and Expression for Evaluating Antifungal Activity against Cercospora canescens

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Phyton-International Journal of Experimental Botany 2023年第4期92卷 1289-1300页

作者： Maria Babar Siddra Ijaz imran Ul Haq Muhammad sarwar Khan Centre of Agricultural Biochemistry and Biotechnology(CABB) University of Agriculture FaisalabadFaisalabad38040Pakistan Department of Plant Pathology University of Agriculture FaisalabadFaisalabad38040Pakistan

We developed a molecular marker for MAS of mungbean resistant varieties against CLS from the consensus sequence(MB-CLsRG)of identified RGAs(MB-ClsRCaG1 and MB-ClsRCaG2).The MB-CLsRG sequence-specific primer pair was used to screen Cercospora leaf spot(CLS)resistant varieties of mungbean in genomic analysis that showed congruency with phenotypic *** of molecular marker linkage with CLS resistance was performed using rtPCR in transcriptomic *** sequenced PCR products showed 100%homology with MB-CLsRG sequence and putative disease resistance proteins that confirmed the linkage of molecular marker with CLS resistance in *** antifungal potential of MB-CLsRG gene encoding protein was *** MB-CLsRG gene sequence was cloned in the *** expression vector for recombinant protein *** recombinant protein was then investigated for its in vitro antifungal potential against Cercospora *** in vitro investigation showed strong antifungal activity of recombinant protein as it restricted the growth of fungal mycelial *** results validated the linkage of developed marker with CLS-resistant mungbean varieties;therefore,it can be used to screen resistant varieties from a large population in ***,the recombinant protein of the MB-CLsRG gene sequence revealed antifungal potential,which proved the gene sequence could be suitable to use in transgenic plants technology to develop fungal-resistant transgenic crops.

关键词： Molecular marker mungbean MAS recombinant protein antifungal potential

Inclined magnetic field and variable viscosity effects on bioconvection of Casson nanofluid slip flow over non linearly stretching sheet

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Propulsion and Power Research 2022年第4期11卷 565-574页

作者： Noman sarwar Muhammad imran Asjad Sajjad Hussain Md.Nur Alam Mustafa Inc Department of Mathematics University of Management and TechnologyLahore54770Pakistan School of Aerospace and Mechanical Engineering Nanyang Technological University639798Singapore Department of Mathematics Pabna University of Science and TechnologyPabna-6600Bangladesh Department of Mathematics Science FacultyFirat University23119ElazigTurkey

In pursuit of improved thermal transportation,the slip flow of Casson nanofluid is considered in the existence of an inclined magnetic field and radiative heat flux flow over a nonlinear stretching *** viscosity of the fluid is considered as a function of temperature along with the convective thermal boundary *** solutions are obtained via Runge-Kutta along with the shooting technique method for the chosen boundary values *** see the physical insights of the problem,some graphs are plotted for various flow and embedded parameters on temperature function,micro-organism distribution,velocity,and volume fraction of nanoparticles.A decline is observed in the velocity and the temperature for Casson *** and Brownian motion incremented the temperature *** is also found that thermal transportation can be enhanced in the presence of nanoparticles and the bioconvection of *** results are useful in the various sectors of engineering and for heat exchangers working in various technological *** main findings of the problem are validated and compared with those in the existing literature as a limiting case.

关键词： Variable viscosity Bioconvection Inclined field Casson fluid Nonlinearly Stretching sheet Convective boundary Velocity slip Varying viscosity

A Joint Resource Allocation Algorithm for D2D Communication

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Computers, Materials & Continua 2022年第2期70卷 3751-3762页

作者： Abdul Kadir Hamid Lamia Osman Widaa Fahd N.Al-Wesabi imran Khan Anwer Mustafa Hilal Manar Ahmed Hamza Abu sarwar Zaman Mohammed Rizwanullah Department of Electrical&Computer Engineering University of SharjahSharjahUnited Arab Emirates Department of Electrical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerKSA&Faculty of Computer and ITSana’a UniversityYemen Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

The emergence of multimedia services has meant a substantial increase in the number of devices in mobile networks and driving the demand for higher data transmission *** result is that,cellular networks must technically evolve to support such higher rates,to be equipped with greater capacity,and to increase the spectral and energy *** with 4G technology,the 5G networks are being designed to transmit up to 100 times more data volume with devices whose battery life is 10 times ***,this new generation of networks has adopted a heterogeneous and ultra-dense architecture,where different technological advances are combined such as device-to-device(D2D)communication,which is one of the key elements of 5G *** has immediate applications such as the distribution of traffic load(data offloading),communications for emergency services,and the extension of cellular coverage,*** this communication model,two devices can communicate directly if they are close to each other without using a base station or a remote access ***,eliminating the interference between theD2Dand cellular communication in the *** interference management has become a hot issue in current *** order to address this problem,this paper proposes a joint resource allocation algorithm based on the idea of mode selection and resource *** results showthat the proposed algorithm effectively improves the systemperformance and reduces the interference as compared with existing algorithms.

关键词： D2D communication resource allocation wireless networks mobile communication

Analysis of 1246 Cases of Orbital Lesions: A Study of 17 Years

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Natural Science 2015年第6期7卷 324-337页

作者： Asad Aslam Khan Suhail sarwar M. Ali Ayaz Sadiq Munib Ur Rehman Asad Ullah imran Ahmad Institute of Ophthalmology King Edward Medical University Mayo Hospital Lahore Pakistan

Purpose: The aim of this study is to present an analysis of orbital lesions by classifying them according to the site of origin in patients of all ages presenting at a tertiary care eye hospital from 1996 till 2012. Methods: 1637 patients were initially enrolled in this descriptive case series. Clinical data of 1246 patients who completed the study during 17 years were analyzed. Orbital lesions of the patients were examined and managed medically or surgically as per requirement. The histopathological reports of these patients were used to classify the lesions. Results: Out of all cases 54.57% (n = 680) were neoplastic and 45.42% (n = 566) were nonneoplastic lesions. Amongst the neoplastic lesions 86.17% (n = 586) were malignant and 13.82% (n = 94) were benign. Primary orbital lesions were the most common orbital lesions being 963 (77.29%) followed by secondary orbital lesions being 232 (18.62%), hematopoietic reticuloendothelial being 47 (3.77%) and metastatic lesions being 04 (0.32%). Conclusion: Orbital lesions are more common in adults as compared to children. Neoplastic lesions are more common than nonneoplastic lesions, and amongst the neoplastic lesions malignant lesions are more common than benign ones. Primary orbital lesions are the most common orbital lesions followed by secondary orbital lesions, lesions of the hematopoietic reticuloendothelial system and metastatic lesions.

关键词： Neoplastic Lesions Primary Orbital Lesions Secondary Orbital Lesions Hematopoietic Orbital Lesions Metastatic Orbital Lesions Case Study

Empirical Analysis of Software Success Rate Forecasting During Requirement Engineering Processes

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Computers, Materials & Continua 2023年第1期74卷 783-799页

作者： Muhammad Hasnain imran Ghani Seung Ryul Jeong Muhammad Fermi Pasha Sardar Usman Anjum Abbas Lahore Leads University Lahore42000Pakistan Computer and Information Sciences Virginia Military InstituteLexingtonVA24450USA Graduate School of Business IT Kookmin UniversitySeoul136Korea School of Information Technology Monash UniversityBandar Sunway47500Malaysia Department of Computer Science and Software Engineering Grand Asian University Sialkot51040Pakistan Government sarwar Shaheed Associate College Gujjar KhanRawalpindi46000Pakistan

Forecasting on success or failure of software has become an interesting and,in fact,an essential task in the software development *** order to explore the latest data on successes and failures,this research focused on certain questions such as is early phase of the software development life cycle better than later phases in predicting software success and avoiding high rework?What human factors contribute to success or failure of a software?What software practices are used by the industry practitioners to achieve high quality of software in their day-to-day work?In order to conduct this empirical analysis a total of 104 practitioners were recruited to determine how human factors,misinterpretation,and miscommunication of requirements and decision-making processes play their roles in software success *** discussed a potential relationship between forecasting of software success or failure and the development *** noticed that experienced participants had more confidence in their practices and responded to the questionnaire in this empirical study,and they were more likely to rate software success forecasting linking to the development *** analysis also shows that cognitive bias is the central human factor that negatively affects forecasting of software success *** results of this empirical study also validated that requirements’misinterpretation and miscommunication were themain causes behind software systems’*** has been seen that reliable,relevant,and trustworthy sources of information help in decision-making to predict software systems’success in the software *** empirical study highlights a need for other software practitioners to avoid such bias while working on software *** investigation can be performed to identify the other human factors that may impact software systems’success.

关键词： Cognitive bias misinterpretation of requirements miscommunication software success and failure prediction decision making

Evaluation of Different Radish (Raphanus sativus) Genotypes under Different Saline Regimes

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American Journal of Plant Sciences 2016年第6期7卷 894-898页

作者： C. M. Ayyub Muhammad Rashid Shaheen Samad Raza Muhammad sarwar Yaqoob Rashad Waseem Khan Qadri Muhammad Azam M. Awais Ghani imran Khan Naheed Akhtar Institute of Horticultural Sciences University of Agriculture Faisalabad Pakistan College of Agriculture and Environmental Sciences TheIslamia University of Bahawalpur Punjab Pakistan Department of Agronomy University of Agriculture Faisalabad Pakistan College of Agriculture Dera Ghazi Khan Pakistan

An effective and simple screening technique for identification of salt tolerant and salt sensitive radish genotypes was observed. Sand is used as potting media. Six genotypes of radish were used for screening against four salinity levels (0, 1, 3, 5 and 7 dS/m-1). Twenty days old seedlings of radish were salinized with salt solution (NaCl). Morphological, physiological and ionic parameters were studied. Radish genotypes Laal-Pari and 40 Days executed the best performance in all the measured attributes and categorized as salt tolerant genotype while Green Neck was the poorest in retaining normal functioning at higher salinity levels thus grouped under salt sensitive cultivar.

关键词： Radish Salinity Physiological Morphological Ionic Attributes Genotypes

A Longitudinal Survey for Genome-based Identification of SARS-CoV-2 in Sewage Water in Selected Lockdown Areas of Lahore City, Pakistan: A Potential Approach for Future Smart Lockdown Strategy

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Biomedical and Environmental Sciences 2021年第9期34卷 729-733页

作者： Tahir Yaqub Muhammad Nawaz Muhammad Z.Shabbir Muhammad A.Ali imran Altaf Sohail Raza Muhammad A.B.Shabbir Muhammad A.Ashraf Syed Z.Aziz Sohai l Q.Cheema Muhammad B.Shah Saira Rafique Sohail Hassan Nageen Sardar Adnan Mehmood Muhammad W.Aziz Sehar Fazal Nadir Hussain Muhammad T.Khan Muhammad M.Atique Ali Asif Muhammad Anwar Nabeel A.Awan Muhammad U.Younis Muhammad A.Bhattee Zarfishan Tahir Nadia Mukhtar Huda sarwar Maaz S.Rana Omair Farooq Institute of Microbiology University of Veterinary and Animal SciencesLahorePakistan Water and Sanitation Agency LahorePunjabPakistan Specialized Healthcare&Medical Education Department PunjabPakistan Primary and Secondary Healthcare Department PunjabPakistan Institute of Public Health LahorePakistan Farooq Hospital LahorePakistan

In 2019,the newly emerged SARS-CoV-2 virus caused pneumonia-like *** disease rapidly spread globally,leading to a worldwide outbreak referred to as the COVID-19 pandemic.

关键词： globally Strategy Smart