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Context Based Adoption of Ranking and indexing Measures for Cricket Team Ranks

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Computers, Materials & Continua 2020年第11期65卷 1113-1136页

作者： Raja Sher Afgun Usmani Syed Muhammad Saqlain Shah Muhammad Sher Ramzan Abdullah Saad A.L-Malaise AL-Ghamdi Anwar Ghani Imran Khan Farrukh Saleem Department of CS&SE International Islamic UniversityH-10 SectorIslamabad44000Pakistan Department of Information System Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia

There is an international cricket governing body that ranks the expertise of all the cricket playing nations,known as the International Cricket Council(ICC).The ranking system followed by the ICC relies on the winnings and defeats of the teams.The model used by the ICC to implement rankings is deficient in certain key respects.It ignores key factors like winning margin and strength of the opposition.Various measures of the ranking concept are presented in this research.The proposed methods adopt the concepts of h-Index and PageRank for presenting more comprehensive ranking metrics.The proposed approaches not only rank the teams on their losing/winning stats but also take into consideration the margin of winning and the quality of the opposition.Three cricket team ranking techniques are presented i.e.,(1)Cricket Team-Index(ct-index),(2)Cricket Team Rank(CTR)and(3)Weighted Cricket Team Rank(WCTR).The proposed metrics are validated through the collection of cricket dataset,extracted from Cricinfo,having instances for all the three formats of the game i.e.,T20 International(T20i),One Day International(ODI)and Test matches.The comparative analysis between the proposed and existing techniques,for all the three formats,is presented as well.

关键词： indexing ranking cricket teams runs and wickets

A comprehensive review of significant researches on content based indexing and retrieval of visual information

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Frontiers of Computer Science 2013年第5期7卷 782-799页

作者： R. PRIYA T. N. SHANMUGAM Department of Mathematics Anna University-Chennai Chennai 600 025 India

Developments in multimedia technologies have paved way for the storage of huge collections of video doc- uments on computer systems. It is essential to design tools for content-based access to the documents, so as to allow an efficient exploitation of these collections. Content based anal- ysis provides a flexible and powerful way to access video data when compared with the other traditional video analysis tech- niques. The area of content based video indexing and retrieval （CBVIR）, focusing on automating the indexing, retrieval and management of video, has attracted extensive research in the last decade. CBVIR is a lively area of research with endur- ing acknowledgments from several domains. Herein a vital assessment of contemporary researches associated with the content-based indexing and retrieval of visual information. In this paper, we present an extensive review of significant researches on CBV1R. Concise description of content based video analysis along with the techniques associated with the content based video indexing and retrieval is presented.

关键词： nultimedia information content based video retrieval （CBVR） content based video indexing and retrieval （CBVIR） shot segmentation object segmentation feature extraction indexing motion estimation querying key frame retrieval and indexing.

Structural indexing for 3D Solid Digital Library

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Wuhan University Journal of Natural Sciences 2001年第Z1期6卷 438-442页

作者： Han Shui\|hua, Lu Zheng\|ding, Chen Chuan\|bo Department of Computer Engineering, Huazhong University of Science and Teclonogy, Wuhan 430074,Chian Department of Computer Engineering Huazhong University of Science and Teclonogy Wuhan Chian

In a very large digital library that support computer aided collaborative design, an indexing process is crucial whenever the retrieval process has to select among many possible designs. In this paper, we address the problem of retrieving important design and engineering information by structural indexing. A design is represented by a model dependency graph, therefor, the indexing problem is to determine whether a graph is present or absent in a database of model dependency graphs. we present a novel graph indexing method using polynomial characterization of a model dependency graph and on hashing. Such an approach is able to create an high efficient 3D solid digital library for retrieving and extracting solid geometric model and engineering information.

关键词： digital library computer aided design model dependency graphs hashing indexing

A Parallel indexing Cam Mechanism with Internal Placed Followers

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武汉理工大学学报 2006年第S2期28卷 533-537页

作者： ZHANG Yuhua REN Guangfa (School of Mechanical Engineering,Anhui University of Technology,Ma’anshan 243002,China School of Mechanical Engineering Anhui University of TechnologyMa'anshan 243002China

A new type of parallel indexing cam mechanism is discovered.The composition of the cam profile is proposed and the formulas of the mechanism parameters are established by synthesis of its configuration and size.The equations for working pro- file and pressure angle of the cam are derived based on the inverse model and the derivative of pitch curve of cams.An example is given and demonstrates that it is available to design the new mechanism using the derived expressions.

关键词： cam mechanism parallel indexing cam Internal cam mechanism synthesis internal placed followers

Looking back to 2023,and looking forward to 2024——From the Editor-in-Chief Wang Yingkuan

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International Journal of Agricultural and Biological Engineering 2024年第1期17卷 I0002-I0002页

In 2023,all 186 papers published in the International Journal of Agricultural and Biological,Engineering(IJABE)havebcen indexed and abstracted by the Web of Science Core Collection and other famous indexing databases in a timely manner.The iotal number of DOI resolutions of IJABE papers in the past 12 months from January 2023 to January 2024 reached 135s.

关键词： looking databases indexing

SYNTHESIS OF ZIRCONIUM BIS(MONOOCTYL PHOSPHATE) AND indexing ON ITS X-RAY POWDER DIFFRACTION PATTERN

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Chinese Science Bulletin 1992年第8期37卷 698-699页

作者：王綍陈云清王振军 Department of Chemistry Northwest University Xi'an 710069 PRC

a new compound, zirconium bis（n-monoocfly phosphate）, Zn (n-C8H17OPO3)2, in amorphous state has been synthesized, and its powder with higher crystallinity degree has been obtained by dissolving the amorphous material in hydrofluoric acid, evaporating into paste and then boiling with 0.5 mole·dm-3 H3BO3 solution. Elemental analysis shows

关键词： amorphous boiling crystallinity paste zirconium layered hasbeen indexing

Toward Inclusiveness and Thoroughness:A Paradigm Shift from More-ever-omics to Holovivology

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Genomics, Proteomics & Bioinformatics 2023年第5期21卷 895-896页

作者： Jun Yu Beijing Institute of Genomics Chinese Academy of Sciences and China National Center for BioinformationBeijing 100101China

Genomics,Proteomics&Bioinformatics(GPB)is now 20 years old.It has been nurtured by an entire generation of scientists,especially genomicists and bioinformaticians in China and elsewhere,and it has certainly been blooming,from struggling to be covered by abstracting and indexing databases and drawing authorship nationwide and worldwide to fill up each issue,to defending the seemingly outdated name along with the immense increase of scientific journals in number within our own and related fields.

关键词： roughness indexing entire

A Novel Metadata Based Multi-Label Document Classification Technique

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Computer Systems Science & Engineering 2023年第8期46卷 2195-2214页

作者： Naseer Ahmed Sajid Munir Ahmad Atta-ur Rahman Gohar Zaman Mohammed Salih Ahmed Nehad Ibrahim Mohammed Imran BAhmed Gomathi Krishnasamy Reem Alzaher Mariam Alkharraa Dania AlKhulaifi Maryam AlQahtani Asiya A.Salam Linah Saraireh Mohammed Gollapalli Rashad Ahmed Barani Institute of Information Technology(BIIT) PMAS Arid Agriculture UniversityRawalpindi46000PunjabPakistan Department of Computer Science(CS) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Faculty Computer Science and Information Technology Universiti Tun Hussein Onn MalaysiaBatu PahatMalaysia Department of Computer Engineering(CE) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia College of Business Administration Imam Abdulrahman bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Computer Information System(CIS) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia ICS Department King Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia

From the beginning,the process of research and its publication is an ever-growing phenomenon and with the emergence of web technologies,its growth rate is overwhelming.On a rough estimate,more than thirty thousand research journals have been issuing around four million papers annually on average.Search engines,indexing services,and digital libraries have been searching for such publications over the web.Nevertheless,getting the most relevant articles against the user requests is yet a fantasy.It is mainly because the articles are not appropriately indexed based on the hierarchies of granular subject classification.To overcome this issue,researchers are striving to investigate new techniques for the classification of the research articles especially,when the complete article text is not available(a case of nonopen access articles).The proposed study aims to investigate the multilabel classification over the available metadata in the best possible way and to assess,“to what extent metadata-based features can perform in contrast to content-based approaches.”In this regard,novel techniques for investigating multilabel classification have been proposed,developed,and evaluated on metadata such as the Title and Keywords of the articles.The proposed technique has been assessed for two diverse datasets,namely,from the Journal of universal computer science(J.UCS)and the benchmark dataset comprises of the articles published by the Association for computing machinery(ACM).The proposed technique yields encouraging results in contrast to the state-ofthe-art techniques in the literature.

关键词： Multilabel classification indexing metadata content/data mining

Assessment of retracted papers,and their retraction notices,from a cancer journal associated with“paper mills”

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数据与情报科学学报:英文版 2023年第2期8卷 118-125页

作者： Jaime A.Teixeira da Silva Serhii Nazarovets Independent researcher Ikenobe 3011-2Kagawa-ken761-0799Japan Borys Grinchenko Kyiv University 18/2 Bulvarno-Kudriavska Str.04053 KyivUkraine

Cancer research is occasionally described as being in a reproducibility crisis.The cancer literature has ample papers retracted due to misconduct,including the use of paper mills,invalid authorship,or fake data.The objective of this paper was to gain an appreciation of the balance of retractions and associated retraction notices of 23 retracted Cancer Biotherapy and Radiopharmaceuticals papers associated with paper mills.By 23 March 2023,these retracted papers had already accumulated 287 citations according to Web of Science Core Collection,253 according to Scopus,and 365 according to Google Scholar,i.e.,metrically speaking,they were highly rewarded.All authors had an affiliation(71%being a hospital)in China.Most(12/21;57%)of corresponding authors had emails with a@*** suffix.Four of the retraction notices(i.e.,17%)explicitly indicated paper mills as a reason for retraction although,in general,the retraction notices lacked details and background that could assist readers’understanding of the retractions.

关键词： indexing Oncology Publishing history PubMed Retraction Notices Transparency