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Journal of Bionic Engineering 2022年第2期19卷 471-482页

作者： Bosheng Liu tanvir R.Faisal School of Architecture and Design University of Louisiana at LafayetteLafayetteLA 70503USA Department of Mechanical Engineering University of Louisiana at LafayetteLafayetteLA 70503USA

Bio-inspired architectural designs are often superior for their aesthetics and structural *** forms and loading states of a biological structure is complex as it requires a delicate balance among geometry,material properties,and interacting *** goal of this work is to design a biomimetic,ultra-lightweight,bending-active structure utilizing an informed integral design approach,and thereby constructing a self-supporting cellular pavilion.A bioinspired pavilion has been designed and constructed based on the natural cellular organization observed in Radiolaria,a deep-sea *** cellularity was mimicked via Voronoi tessellation in the structure of the pavilion,whose structural performance was evaluated using finite element ***,funicular structure design strategies were studied with a focus on cellular distributions and concentration responding to areas with high structural *** computer aided custom designed pavilion was constructed with engineered,in-house fabricated fiberglass composite *** bending-active lightweight structure was also validated through material performance inquiry,a partial full-scale cellular assembly,and the full-size pavilion *** work contributes to the design approach comprising a bending-active form-finding schematic strategy to construct the elastic bending-active structure physically and simulate computationally within the context of nature inspired innovative lightweight structure design.

关键词： Biomimetic design Double-curved shell pavilion Voronoi tessellation Bending-active structures Finite element analysis

Autonomous Eyewitness Identification by Employing Linguistic Rules forDisaster Events

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Computers, Materials & Continua 2021年第1期66卷 481-498页

作者： Sajjad Haider Muhammad tanvir Afzal Capital University of Science and Technology Islamabad44000Pakistan

Social networking platforms provide a vital source for disseminating information across the globe,particularly in case of *** platforms are great mean to find out the real account of the *** is an example of such platform,which has been extensively utilized by scientific community due to its unidirectional *** is considered a challenging task to identify eyewitness tweets about the incident from the millions of tweets shared by twitter *** community has proposed diverse sets of techniques to identify eyewitness account.A recent state-of-the-art approach has proposed a comprehensive set of features to identify eyewitness ***,this approach suffers some ***,automatically extracting the feature-words remains a perplexing task against each feature identified by the ***,all identified features were not incorporated in the *** paper has utilized the language structure,linguistics,and word relation to achieve automatic extraction of feature-words by creating grammar ***,all identified features were implemented which were left out by the state-of-the-art model.A generic approach is taken to cover different types of disaster such as earthquakes,floods,hurricanes,and *** proposed approach was then evaluated for all disaster-types,including earthquakes,floods,hurricanes,and *** on the static dictionary,the Zahra et *** was able to produce an F-Score value of 0.92 for Eyewitness identification in the earthquake *** proposed approach secured F-Score values of 0.81 in the same *** score can be considered as a significant score without using a static dictionary.

关键词： Grammar rules social media eyewitness identification disaster response

Exploiting Structural Similarities to Classify Citations

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Computers, Materials & Continua 2021年第2期66卷 1195-1214页

作者： Muhammad Saboor Ahmed Muhammad tanvir Afzal Capital University of Science and Technology IslamabadPakistan

Citations play an important role in the scientific community by assisting in measuring multifarious policies like the impact of journals,researchers,institutions,and *** cite papers for different reasons,such as extending previous work,comparing their study with the state-of-the-art,providing background of the field,*** recent years,researchers have tried to conceptualize all citations into two broad categories,important and *** a categorization is very important to enhance scientific output in multiple ways,for instance,(1)Helping a researcher in identifying meaningful citations from a list of 100 to 1000 citations(2)Enhancing the impact factor calculation mechanism by more strongly weighting important citations,and(3)Improving researcher,institutional,and university rankings by only considering important *** of these uses depend upon correctly identifying the important citations from the list of all citations in a *** date,researchers have utilized many features to classify citations into these broad categories:cue phrases,in-text citation counts,and metadata features,***,contemporary approaches are based on identification of in-text citation counts,mapping sections onto the Introduction,Methods,Results,and Discussion(IMRAD)structure,identifying cue phrases,*** such features accurately is a challenging task and is normally conducted manually,with the accuracy of citation classification demonstrated in terms of these manually extracted *** research proposes to examine the content of the cited and citing pair to identify important citing papers for each cited *** content similarity approach was adopted from research paper recommendation ***,a novel section-based content similarity approach is also *** results show that solely using the abstract of the cited and citing papers can achieve similar accuracy as the stateof-the-art *** makes the propose

关键词： Section-wise similarity citation classification content similarity important citation

Risk factor profiles for gastric cancer prediction with respect to Helicobacter pylori:A study of a tertiary care hospital in Pakistan

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Artificial Intelligence in Gastroenterology 2023年第1期4卷 10-27页

作者： Shahid Aziz Simone könig Muhammad Umer Tayyab Saeed Akhter Shafqat Iqbal Maryum Ibrar Tofeeq ur-Rehman tanvir Ahmad Alfizah Hanafiah Rabaab Zahra Faisal Rasheed Patients Diagnostic Lab Isotope Application DivisionPakistan Institute of Nuclear Science and TechnologyIslamabad 44000Pakistan Department of Microbiology Quaid-i-Azam UniversityIslamabad 45320Pakistan Interdisciplinary Center for Clinical Research Core Unit ProteomicsUniversity of MünsterMünster 48149Germany Management Information System Division Pakistan Institute of Nuclear Science and TechnologyIslamabad 44000Pakistan Centre for Liver and Digestive Diseases Holy Family HospitalRawalpindi 46300Pakistan Pakistan Scientific and Technological Information Centre Quaid-i-Azam UniversityIslamabad 45320Pakistan Department of Pharmacy Quaid-i-Azam UniversityIslamabad 45320Pakistan Faculty of Medicine Department of Medical Microbiology and ImmunologyUniversiti Kebangsan MalaysiaCherasKuala Lumpur 56000Malaysia

BACkGROUND Gastric cancer(GC)is the fourth leading cause of cancer-related deaths *** relies on histopathology and the number of endoscopies is *** pylori(***)infection is a major risk *** To develop an in-silico GC prediction model to reduce the number of diagnostic surgical *** meta-data of patients with gastroduodenal symptoms,risk factors associated with GC,and *** infection status from Holy Family Hospital Rawalpindi,Pakistan,were used with machine *** A cohort of 341 patients was divided into three groups[normal gastric mucosa(NGM),gastroduodenal diseases(GDD),and GC].Information associated with socioeconomic and demographic conditions and GC risk factors was collected using a *** infection status was determined based on urea breath *** association of these factors and histopathological grades was assessed statistically.k-Nearest Neighbors and Random Forest(RF)machine learning models were *** This study reported an overall frequency of 64.2%(219/341)of *** infection among enrolled *** was higher in GC(74.2%,23/31)as compared to NGM and GDD and higher in males(54.3%,119/219)as compared to *** abdominal pain(72.4%,247/341)was observed than other clinical symptoms including vomiting,bloating,acid reflux and *** majority of the GC patients experienced symptoms of vomiting(91%,20/22)with abdominal pain(100%,22/22).The multinomial logistic regression model was statistically significant and correctly classified 80%of the GDD/GC ***,income level,vomiting,bloating and medication had significant association with GDD and GC.A dynamic RF GC-predictive model was developed,which achieved>80%test *** GC risk factors were incorporated into a computer model to predict the likelihood of developing GC with high sensitivity and *** model is dynamic and will be further improved and validated by including n

关键词： Gastric cancer Gastritis Machine learning Prediction model Helicobacter pylori

Extension of Direct Citation Model Using In-Text Citations

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Computers, Materials & Continua 2021年第3期66卷 3121-3138页

作者： Abdul Shahid Muhammad tanvir Afzal Muhammad Qaiser Saleem M.S.Elsayed Idrees Majzoob k.Omer Institute of Computing Kohat University of Science and TechnologyKohat26000Pakistan Department of Computer Science NAMAL InstituteMianwali42250Pakistan College of Computer Science and Information Technology Albaha UniversityAl BahaSaudi Arabia

Citations based relevant research paper recommendations can be generated primarily with the assistance of three citation models:(1)Bibliographic Coupling,(2)Co-Citation,and(3)Direct *** of new scholarly articles are published every *** flux of scientific information has made it a challenging task to devise techniques that could help researchers to find the most relevant research papers for the paper at *** this study,we have deployed an in-text citation analysis that extends the Direct Citation Model to discover the nature of the relationship degree-ofrelevancy among scientific *** this purpose,the relationship between citing and cited articles is categorized into three categories:weak,medium,and *** an experiment,around 5,000 research papers were crawled from the *** research papers were parsed for the identification of in-text citation ***,0.1 million references of those articles were extracted,and their in-text citation frequencies were computed.A comprehensive benchmark dataset was established based on the user ***,the results were validated with the help of Least Square Approximation by Quadratic Polynomial *** was found that degreeof-relevancy between scientific papers is a quadratic increasing/decreasing polynomial with respect to-increase/decrease in the in-text citation frequencies of a cited ***,the results of the proposed model were compared with state-of-the-art techniques by utilizing a well-known measure,known as the normalized Discount Cumulative Gain(nDCG).The proposed method received an nDCG score of 0.89,whereas the state-of-the-art models such as the Content,Bibliographic-coupling,and Metadata-based Models were able to acquire the nDCG values of 0.65,0.54,and 0.51 *** results indicate that the proposed mechanism may be applied in future information retrieval systems for better results.

关键词： Direct citation model in-text citations frequencies normalized discount cumulative gain least square approximation

A critical review of ash slagging mechanisms and viscosity measurement for low-rank coal and bio-slags

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Frontiers in Energy 2021年第1期15卷 46-67页

作者： Md tanvir ALAM Baiqian DAI Xiaojiang WU Andrew HOADLEY Lian ZHANG Department of Chemical Engineering Monash UniversityClaytonVictoria 3800Australia R&D Division Shanghai Boiler Works Co.Ltd.Shanghai 200245China

Gasification or combustion of coal and biomass is the most important form of power generation ***,the use of coal/biomass at high temperatures has an inherent problem related to the ash *** formation of ash leads to a problematic phenomenon called *** is the accumulation of molten ash on the walls of the furnace,gasifier,or boiler and is detrimental as it reduces the heat transfer rate,and the combustion/gasification rate of unburnt carbon,causes mechanical failure,high-temperature corrosion and on occasions,superheater *** improve the gasifier/combustor facility,it is very important to understand the key ash properties,slag characteristics,viscosity and critical viscosity *** paper reviews the content,compositions,and melting characteristics of ashes in differently ranked coal and biomass,and discusses the formation mechanism,characteristics,and structure of *** particular,this paper focuses on low-rank coal and biomass that have been receiving increased attention ***,it reviews the available methodologies and formulae for slag viscosity measurement/prediction and summarizes the current limitations and potential ***,it discusses the slagging behavior of different ranks of coal and biomass by examining the applicability of the current viscosity measurement methods to these fuels,and the viscosity prediction models and factors that affect the slag *** review shows that the existing viscosity models and slagging indices can only satisfactorily predict the viscosity and slagging propensity of high-rank coals but cannot predict the slagging propensity and slag viscosity of low-rank coal,and especially biomass ashes,even if they are limited to a particular composition ***,there is a critical need for the development of an index,or a model or even a measurement method,which can predict/measure the slagging propensity and slag viscosity correctly for all low-rank co

关键词： slag viscosity biomass low-rank coal combustion gasification

Crimean-Congo hemorrhagic fever: etiology, diagnosis, management and potential alternative therapy

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Asian Pacific Journal of Tropical Medicine 2020年第4期13卷 143-151页

作者： Mohammad Saleem Muiz tanvir Muhammad Furqan Akhtar Ammara Saleem Department of Pharmacology Punjab University College of PharmacyUniversity of the PunjabLahorePakistan Department of Pharmacology Faculty of Pharmaceutical SciencesGovernment College University FaisalabadFaisalabadPakistan Riphah Institute of Pharmaceutical Sciences Riphah International UniversityLahore CampusPakistan

Crimean-Congo hemorrhagic fever(CCHF)virus belongs to the genus Nairovirus and family *** is a tickborne disease that has mostly been reported from Asia,Africa and *** diagnosis of CCHF is essential for patient care and preventing its spread to normal *** of CCHF is mostly limited to the use of ribavirin and palliative *** practice of using interferon and vaccines has also been proved to be ineffective and unsafe.A search for an effective alternative treatment of the CCHF still ***,the current review focusses on the cause,prevalence,mode of transmission,pathophysiology,signs,symptoms,diagnostic features and treatment options of *** review also highlights the possible alternative therapy in the form of antiviral medicinal plants which are effective against viral hemorrhagic *** medicinal plants have shown convincing evidence for their activities against different viral hemorrhagic fevers and may be used alone or in combination with existing therapies to achieve an optimum therapeutic response.

关键词： Congo fever Dengue fever Alternative therapy Antiviral plants

Evolution and Effectiveness of Loss Functions in Generative Adversarial Networks

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China Communications 2021年第10期18卷 45-76页

作者： Ali Syed Saqlain Fang Fang tanvir Ahmad Liyun Wang Zain-ul Abidin School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China Department of Computer Science Portland State UniversityPortland 97207U.S. School of Information and Communication Engineering South West Jiaotong UniversityChengdu 610031China

Recently,the evolution of Generative Adversarial Networks(GANs)has embarked on a journey of revolutionizing the field of artificial and computational *** improve the generating ability of GANs,various loss functions are introduced to measure the degree of similarity between the samples generated by the generator and the real data samples,and the effectiveness of the loss functions in improving the generating ability of *** this paper,we present a detailed survey for the loss functions used in GANs,and provide a critical analysis on the pros and cons of these loss ***,the basic theory of GANs along with the training mechanism are ***,the most commonly used loss functions in GANs are introduced and ***,the experimental analyses and comparison of these loss functions are presented in different GAN ***,several suggestions on choosing suitable loss functions for image synthesis tasks are given.

关键词： loss functions deep learning machine learning unsupervised learning generative adversarial networks(GANs) image synthesis

Classifying Misinformation of User Credibility in Social Media Using Supervised Learning

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Computers, Materials & Continua 2023年第5期75卷 2921-2938页

作者： Muhammad Asfand-e-Yar Qadeer Hashir Syed Hassan tanvir Wajeeha khalil Department of Computer Science Center of Excellence in Artificial Intelligence(CoE-AI)Bahria UniversityIslamabad44000Pakistan Department of Computer Science and Information Technology University of Engineering and TechnologyPeshawar25000Pakistan

The growth of the internet and technology has had a significant effect on social *** information has become an important research topic due to the massive amount of misinformed content on social *** is very easy for any user to spread misinformation through the ***,misinformation is a problem for professionals,organizers,and ***,it is essential to observe the credibility and validity of the News articles being shared on social *** core challenge is to distinguish the difference between accurate and false *** studies focus on News article content,such as News titles and descriptions,which has limited their ***,there are two ordinarily agreed-upon features of misinformation:first,the title and text of an article,and second,the user *** the case of the News context,we extracted different user engagements with articles,for example,tweets,i.e.,read-only,user retweets,likes,and *** calculate user credibility and combine it with article content with the user’s *** combining both features,we used three Natural language processing(NLP)feature extraction techniques,i.e.,Term Frequency-Inverse Document Frequency(TF-IDF),Count-Vectorizer(CV),and Hashing-Vectorizer(HV).Then,we applied different machine learning classifiers to classify misinformation as real or ***,we used a Support Vector Machine(SVM),Naive Byes(NB),Random Forest(RF),Decision Tree(DT),Gradient Boosting(GB),and k-Nearest Neighbors(kNN).The proposed method has been tested on a real-world dataset,i.e.,“fakenewsnet”.We refine the fakenewsnet dataset repository according to our required *** dataset contains 23000+articles with millions of user *** highest accuracy score is 93.4%.The proposed model achieves its highest accuracy using count vector features and a random forest *** discoveries confirmed that the proposed classifier would effectively classify misinformat

关键词： Misinformation user credibility fake news machine learning

Experimental and analytical investigation on friction resistance force between buried coated pressurized steel pipes and soil

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Frontiers of Structural and Civil Engineering 2024年第4期18卷 615-629页

作者： Shaurav ALAM tanvir MANZur John MATTHEWS Chris BARTLETT Erez ALLOUCHE Brent kEIL John kRAFT Department of Civil Engineering and Construction Engineering Technology Louisiana Tech UniversityRustonLA 71270USA Department of Civil Engineering Bangladesh University of Engineering and TechnologyDhaka 1000Bangladesh Georgia Tech Research Institute AtlantaGA 30332USA Stantec Inc. Edmonton T5J0K4Canada North West Pipe Company VancouverWA 98684USA

This paper presents an analytical approach for estimating frictional resistance to pipe movement at soil and external pipe surface of buried coated pressurized steel pipes relative to the internal thrust *** proposed analytical method was developed based on 36 experiments,which involved three coating types(cement mortar(CM),polyurethane type-I(PT-I),prefabricated plastic tape(PPT))on pipes’surfaces,three different soils(pea-gravel(PG),sand(S),silty-clay(SC)),and four simulated over burden depths above the pipe’s *** showed frictional resistance decreased with increasing over burden depth above the pipe’s *** degree of frictional resistance at the pipe-soil interface was found to be in the order of PG>SC>S for all coating variations and overburden *** coated pipe buried in all three types of soil produced significantly higher frictional resistance as compared to other coating *** on experimental data,the developed analytical introduced a dimensionless factor“Z”,which included effects of types of coatings,soil,and overburden depths for simplified rapid *** showed that the method provided a better prediction of frictional resistance forces,in comparison to previous analytical methods,which were barely close in predicting friction resistance for different coating variations,soil types,and overburden *** resistance force values reported herein could be considered conservative.

关键词： friction resistance force thrust force coated pressurized steel pipe soil type overburden depth