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检索条件"机构=Key Laboratory of Computer Network and Information Integration in Southeast University"
679 条 记 录,以下是461-470 订阅
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Turbulence mitigation scheme based on multiple-user detection in an orbital-angular-momentum multiplexed system
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Chinese Physics B 2016年 第11期25卷 316-323页
作者: 邹丽 王乐 赵生妹 陈汉武 Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications School of Electronics and Information Nantong University Key Laboratory of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications School of Computer Science and Engineering College of Software Engineering Southeast University
Atmospheric turbulence(AT) induced crosstalk can significantly impair the performance of a free-space optical(FSO)communication link using orbital angular momentum(OAM) *** this paper,we propose a multiple-user ... 详细信息
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Design and Implementation of Not So Cooperative Caching System
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China Communications 2015年 第7期12卷 31-46页
作者: HU Xiaoyan GONG Jian CHENG Guang ZHANG Weiwei Ahmad Jakalan School of Computer Science and Engineering Southeast University Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education
Not So Cooperative Caching(NSCC) considers a network comprised of selfish nodes; each is with caching capability and an objective of reducing its own access cost by fetching data from its local cache or from neighbori... 详细信息
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Progress in Command and Control Server Finding Schemes of Botnet
Progress in Command and Control Server Finding Schemes of Bo...
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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
作者: Xiaojun Guo Guang Cheng Yifei Hu Mian Dai Southeast University Nanjing Jiangsu CN Key Laboratory of Computer Network and Information Integration Southeast University Nanjing China
Botnets have become one of the most serious threats to current Internet and future network security. Only finding and connecting command and control(C&C) servers can bots join and work for botnet, hence how to fin... 详细信息
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Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
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The Lancet 2020年 第10258期396卷 1204-1222页
作者: Abbafati, Cristiana Abbas, Kaja M. Abbasi, Mohammad Abbasifard, Mitra Abbasi-Kangevari, Mohsen Abbastabar, Hedayat Abd-Allah, Foad Abdelalim, Ahmed Abdollahi, Mohammad Abdollahpour, Ibrahim Abedi, Aidin Abedi, Parisa Abegaz, Kedir Hussein Abolhassani, Hassan Abosetugn, Akine Eshete Aboyans, Victor Abrams, Elissa M. Abreu, Lucas Guimarães Abrigo, Michael R.M. Abu Haimed, Abdulaziz Khalid Abualhasan, Ahmed Abu-Gharbieh, Eman Abu-Raddad, Laith Jamal Abushouk, Abdelrahman I. Acebedo, Alyssa Ackerman, Ilana N. Adabi, Maryam Adair, Tim Adamu, Abdu A. Adebayo, Oladimeji M. Adedeji, Isaac Akinkunmi Adekanmbi, Victor Adelson, Jaimie D. Adeoye, Abiodun Moshood Adetokunboh, Olatunji O. Adham, Davoud Advani, Shailesh M. Afarideh, Mohsen Afshari, Mahdi Afshin, Ashkan Agardh, Emilie E. Agarwal, Gina Agasthi, Pradyumna Agesa, Kareha M. Aghaali, Mohammad Aghamir, Seyed Mohammad Kazem Agrawal, Anurag Ahmad, Tauseef Ahmadi, Alireza Ahmadi, Keivan Ahmadi, Mehdi Ahmadieh, Hamid Ahmadpour, Ehsan Ahmed, Muktar Beshir Aji, Budi Akalu, Temesgen Yihunie Akinyemi, Rufus Olusola Akinyemiju, Tomi Akombi, Blessing Akunna, Chisom Joyqueenet Alahdab, Fares Al-Aly, Ziyad Alam, Khurshid Alam, Noore Alam, Samiah Alam, Tahiya Alanezi, Fahad Mashhour Alanzi, Turki M. Albertson, Samuel B. Alcalde-Rabanal, Jacqueline Elizabeth Alema, Niguse Meles Alemu, Biresaw Wassihun Alemu, Yihun Mulugeta Alhabib, Khalid F. Alhassan, Robert Kaba Ali, Muhammad Ali, Saqib Alicandro, Gianfranco Alijanzadeh, Mehran Alinia, Cyrus Alipour, Vahid Alizade, Hesam Aljunid, Syed Mohamed Alla, François Allebeck, Peter Almadi, Majid Abdulrahman Hamad Almasi, Ali Almasi-Hashiani, Amir Almasri, Nihad A. Al-Mekhlafi, Hesham M. Almulhim, Abdulaziz M. Alonso, Jordi Al-Raddadi, Rajaa M. Altirkawi, Khalid A. Alumran, Arwa Khalid Alvis-Guzman, Nelson Alvis-Zakzuk, Nelson J. Amare, Azmeraw T. Amare, Bekalu Amini, Saeed Amini-Rarani, Mostafa Aminorroaya, Arya Amiri, Fatemeh Amit, Arianna Maever L. Amugsi, Dickson A. Amul, Gianna Gayle Herrera Anbesu, Etsay Woldu Ancuceanu, Robert Anderl Department of Juridical and Economic Studies La Sapienza University Rome Italy Department of Infectious Disease Epidemiology London School of Hygiene and Tropical Medicine London United Kingdom Social Determinants of Health Research Center Tehran Iran Department of Neurology Cairo University Cairo Egypt School of Pharmacy Tehran Iran The Institute of Pharmaceutical Sciences (TIPS) Tehran Iran Neuroscience Research Center Isfahan University of Medical Sciences Isfahan Iran Biostatistics Department Near East University Nicosia Cyprus Biostatistics and Health Informatics Madda Walabu University Bale Robe Ethiopia Research Center for Immunodeficiencies Tehran Iran Karolinska University Hospital Huddinge Sweden Department of Cardiology Dupuytren University Hospital Limoges France University of Limoges Limoges France Department of Pediatric Dentistry Federal University of Minas Gerais Belo Horizonte Brazil Department of Research Philippine Institute for Development Studies Quezon City Philippines Department of Healthcare Policy and Research Weill Cornell Medical College in Qatar Doha Qatar Harvard Medical School Boston MA United States Department of Medicine Ain Shams University Cairo Egypt Hamadan University of Medical Sciences Hamadan Iran School of Medicine Cardiff University Cardiff United Kingdom School of Laboratory Medicine and Science University College Hospital Ibadan Ibadan Nigeria Institute of Cardiovascular Diseases University of Ibadan Ibadan Nigeria Centre of Excellence for Epidemiological Modelling and Analysis Stellenbosch University Cape Town South Africa Department of Global Health Stellenbosch University Cape Town South Africa School of Health Ardabil University of Medical Science Ardabil Iran Social Behavioral Research Branch National Institute of Health Bethesda MD United States Department of Oncology Georgetown University Washington DC DC United States Department of Health Metrics Sciences School of Medicine Seattle WA
Background: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. ...
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A Self-Similar Call Admission Control Algorithm in WiMAX
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International Journal of Communications, network and System Sciences 2016年 第5期9卷 168-176页
作者: Yongdong Hu Guoxin Wu School of Computer Science and Engineering Southeast University Nanjing China Key Laboratory of Computer Network and Information Integration Ministry of Education Southeast University Nanjing China College of Information Science and Technology Nanjing Forestry University Nanjing China
Modelling WiMAX network traffic based on the self-similarity character is better than the traditional model based on the Poisson process, because the former can provide more accurate calculation for effective bandwidt... 详细信息
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network-Interconnection-Oriented: a Scalable Routing Service Model
Network-Interconnection-Oriented: a Scalable Routing Service...
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IEEE International Conference on High Performance Computing and Communications
作者: Yi Wan Jun Shen Tao Han Zu-Qin Ji MOE Key Laboratory of Computer Network and Information Integration School of Computer Science and Engineering Southeast University Nanjing 210096 China
Aimed at improving poor performance of current network routing service in the way of scalability, a new scalable routing service model (SRSM) is proposed based on the core of network interconnection and principles of ... 详细信息
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Deep Age Distribution Learning for Apparent Age Estimation
Deep Age Distribution Learning for Apparent Age Estimation
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IEEE computer Society Conference on computer Vision and Pattern Recognition Workshops (CVPRW)
作者: Zengwei Huo Xu Yang Chao Xing Ying Zhou Peng Hou Jiaqi Lv Xin Geng Key Lab of Computer Network and Information Integration (Ministry of Education) Southeast University Nanjing China
Apparent age estimation has attracted more and more researchers since its potential applications in the real world. Apparent age estimation differs from chronological age estimation that in apparent age estimation eac... 详细信息
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A Description Method for network Architecture
A Description Method for Network Architecture
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IEEE International Conference on High Performance Computing and Communications
作者: Jun Shen Zuqin Ji Wen Gao Yi Wan Key Laboratory of Computer Network & Information Integration of Ministry of Education School of Computer Science & Engineering Southeast University Nanjing 210096 China
Due to lack of desired model for traditional network architecture, services which are newly deployed can't be analyzed and verified quickly or efficiently. To address this problem, this paper puts forward a descri... 详细信息
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Flow Scheduling Strategies for Minimizing Flow Completion Times in information-agnostic Data Center networks
Flow Scheduling Strategies for Minimizing Flow Completion Ti...
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作者: Peiyi Yu Chao Hu Bo Liu Changyou Xing College of Command Information Systems PLA University of Science and Technology Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education
Minimizing the flow completion time(FCT) is widely considered as an important optimization goal in designing data center networks. However, existing schemes either rely on the precondition that the size and deadline... 详细信息
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Logistic Boosting Regression for Label Distribution Learning
Logistic Boosting Regression for Label Distribution Learning
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IEEE Conference on computer Vision and Pattern Recognition
作者: Chao Xing Xin Geng Hui Xue Key Lab of Computer Network and Information Integration (Ministry of Education) School of Computer Science and Engineering Southeast University
Label Distribution Learning (LDL) is a general learning framework which includes both single label and multi-label learning as its special cases. One of the main assumptions made in traditional LDL algorithms is the d... 详细信息
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