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检索条件"机构=Software Systems Engineering LaboratoryDepartment of Mathematics and Computer Science"
228 条 记 录,以下是91-100 订阅
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Data sharing and privacy for patient IoT devices using blockchain  7th
Data sharing and privacy for patient IoT devices using block...
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7th International Conference on Smart City and Informatization, iSCI 2019
作者: Srivastava, Gautam Parizi, Reza M. Dehghantanha, Ali Choo, Kim-Kwang Raymond Department of Mathematics and Computer Science Brandon University BrandonMBR7A 6A9 Canada Research Center for Interneural Computing China Medical University Taichung40402 Taiwan College of Computing and Software Engineering Kennesaw State University KennesawGA30144 United States Cyber Science Lab School of Computer Science University of Guelph GuelphONN1G 2W1 Canada Department of Information Systems and Cyber Security University of Texas at San Antonio San AntonioTX78249 United States
Once a fitness fad, wearable and other related Internet of Things (IoT) devices are fast becoming common place in many different smart city applications such as healthcare. However, IoT devices, particularly inexpensi... 详细信息
来源: 评论
Energy Efficient Decentralized Authentication in Internet of Underwater Things Using Blockchain
Energy Efficient Decentralized Authentication in Internet of...
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IEEE Globecom Workshops
作者: Abbas Yazdinejad Reza M. Parizi Gautam Srivastava Ali Dehghantanha Kim-Kwang Raymond Choo Cyber Science Lab School of Computer Science University of Guelph Ontario Canada College of Computing and Software Engineering Kennesaw State University GA USA Department of Mathematics and Computer Science Brandon University Manitoba Canada Department of Information Systems and Cyber Security University of Texas at San Antonio TX USA
In recent years, there has been rapid growth in developing smart cities. Nearly 70% of the Earth’s surface is covered by water and a large proportion of underwater environments are still unknown and have not be... 详细信息
来源: 评论
software module clustering based on the fuzzy adaptive teaching learning based optimization algorithm
arXiv
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arXiv 2019年
作者: Zamli, Kamal Z. Din, Fakhrud Ramli, Nazirah Ahmed, Bestoun S. Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Gambang Kuantan Pahang26300 Malaysia Department of Computer Science and IT Faculty of Information Technology University of Malakand KPK Pakistan Department of Mathematics and Statistics Faculty of Information Technology and Quantitative Science Universiti Teknologi MARA Pahang Malaysia Faculty of Electrical Engineering Department of Computer Science Czech Technical University Czech Republic
Although showing competitive performances in many real world optimization problems, Teaching Learning based Optimization Algorithm (TLBO) has been criticized for having poor control on exploration and exploitation. Ad... 详细信息
来源: 评论
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
arXiv
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arXiv 2023年
作者: Lekadir, Karim Feragen, Aasa Fofanah, Abdul Joseph Frangi, Alejandro F. Buyx, Alena Emelie, Anais Lara, Andrea Porras, Antonio R. Chan, An-Wen Navarro, Arcadi Glocker, Ben Botwe, Benard O. Khanal, Bishesh Beger, Brigit Wu, Carol C. Cintas, Celia Langlotz, Curtis P. Rueckert, Daniel Mzurikwao, Deogratias Fotiadis, Dimitrios I. Zhussupov, Doszhan Ferrante, Enzo Meijering, Erik Weicken, Eva González, Fabio A. Asselbergs, Folkert W. Prior, Fred Krestin, Gabriel P. Collins, Gary S. Tegenaw, Geletaw S. Kaissis, Georgios Misuraca, Gianluca Tsakou, Gianna Dwivedi, Girish Kondylakis, Haridimos Jayakody, Harsha Woodruf, Henry C. Mayer, Horst Joachim Aerts, Hugo JWL Walsh, Ian Chouvarda, Ioanna Buvat, Irène Tributsch, Isabell Rekik, Islem Duncan, James Kalpathy-Cramer, Jayashree Zahir, Jihad Park, Jinah Mongan, John Gichoya, Judy W. Schnabel, Julia A. Kushibar, Kaisar Riklund, Katrine Mori, Kensaku Marias, Kostas Amugongo, Lameck M. Fromont, Lauren A. Maier-Hein, Lena Alberich, Leonor Cerdá Rittner, Leticia Phiri, Lighton Marrakchi-Kacem, Linda Donoso-Bach, Lluís Martí-Bonmatí, Luis Cardoso, M. Jorge Bobowicz, Maciej Shabani, Mahsa Tsiknakis, Manolis Zuluaga, Maria A. Bielikova, Maria Fritzsche, Marie-Christine Camacho, Marina Linguraru, Marius George Wenzel, Markus De Bruijne, Marleen Tolsgaard, Martin G. Ghassemi, Marzyeh Ashrafuzzaman, Md Goisauf, Melanie Yaqub, Mohammad Abadía, Mónica Cano Mahmoud, Mukhtar M.E. Elattar, Mustafa Rieke, Nicola Papanikolaou, Nikolaos Lazrak, Noussair Díaz, Oliver Salvado, Olivier Pujol, Oriol Sall, Ousmane Guevara, Pamela Gordebeke, Peter Lambin, Philippe Brown, Pieta Abolmaesumi, Purang Dou, Qi Lu, Qinghua Osuala, Richard Nakasi, Rose Zhou, S. Kevin Napel, Sandy Colantonio, Sara Albarqouni, Shadi Joshi, Smriti Carter, Stacy Klein, Stefan Petersen, Steffen E. Aussó, Susanna Awate, Suyash Raviv, Tammy Riklin Cook, Tessa Mutsvangwa, Tinashe E.M. Rogers, Wendy A. Niessen, Wiro J. Puig-Bosch, Xènia Zeng, Yi Mohammed, Yunusa G. Aquino, Yves Saint James Salahuddin, Zohaib Starmans, Martijn P.A. Department de Matemàtiques i Informàtica Universitat de Barcelona Barcelona Spain Barcelona Spain DTU Compute Technical University of Denmark Kgs Lyngby Denmark Department of Mathematics and Computer Science Faculty of Science and Technology Milton Margai Technical University Freetown Sierra Leone Center for Computational Imaging & Simulation Technologies in Biomedicine Schools of Computing and Medicine University of Leeds Leeds United Kingdom Cardiovascular Science and Electronic Engineering Departments KU Leuven Leuven Belgium Institute of History and Ethics in Medicine Technical University of Munich Munich Germany Faculty of Engineering of Systems Informatics and Sciences of Computing Galileo University Guatemala City Guatemala Department of Biostatistics and Informatics Colorado School of Public Health University of Colorado Anschutz Medical Campus AuroraCO United States Department of Medicine Women’s College Research Institute University of Toronto Toronto Canada Universitat Pompeu Fabra BarcelonaBeta Brain Research Center Barcelona Spain Department of Computing Imperial College London London United Kingdom School of Biomedical & Allied Health Sciences University of Ghana Accra Ghana Department of Midwifery & Radiography School of Health & Psychological Sciences City University of London United Kingdom Kathmandu Nepal European Heart Network Brussels Belgium Department of Thoracic Imaging University of Texas MD Anderson Cancer Center Houston United States IBM Research Africa Nairobi Kenya Departments of Radiology Medicine and Biomedical Data Science Stanford University School of Medicine Stanford United States Institute for AI and Informatics in Medicine Klinikum rechts der Isar Technical University Munich Munich Germany Department of Computing Imperial College London London United Kingdom Muhimbili University of Health and Allied Sciences Dar es Salaam Tanzania United Republic of Ioannina Greece Almaty AI Lab Almaty Kazakhstan
Background: Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. In recent years, concerns have been raise... 详细信息
来源: 评论
Code-aware combinatorial interaction testing
arXiv
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arXiv 2019年
作者: Ahmed, Bestoun S. Gargantini, Angelo Zamli, Kamal Z. Yilmaz, Cemal Bures, Miroslav Szeles, Marek Department of Mathematics and Computer Science Karlstad University Karlstad651 88 Sweden Department of Management Information and Production Engineering University of Bergamo Italy Faculty of Computer Systems and Software Engineering University Malaysia Pahang Faculty of Engineering and Natural Sciences Sabanci University Istanbul Turkey Department of Computer Science Faculty of Electrical Engineering Czech Technical University in Prague Karlovo nam. 13 Praha 2121 35 Czech Republic
Combinatorial interaction testing (CIT) is a useful testing technique to ad- dress the interaction of input parameters in software systems. In many ap- plications, the technique has been used as a systematic sampling ... 详细信息
来源: 评论
The occupation kernel method for nonlinear system identification
arXiv
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arXiv 2019年
作者: Rosenfeld, Joel A. Russo, Benjamin Kamalapurkar, Rushikesh Johnson, Taylor T. Department of Mathematics and Statistics University of South Florida TampaFL33620 United States Department of Mathematics Farmingdale State College FarmingdaleNY11735 United States Department of Mechanical and Aerospace Engineering Oklahoma State University StillwaterOK74078 United States Institute for Software Integrated Systems Department of Electrical Engineering and Computer Science Vanderbilt University NashvilleTN37212 United States
This manuscript presents a novel approach to nonlinear system identification leveraging densely defined Liouville operators and a new "kernel" function that represents an integration functional over a reprod... 详细信息
来源: 评论
Incident detection based on mobile crowd sensing for smart city
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Journal of computers (Taiwan) 2019年 第1期30卷 96-104页
作者: Zhang, Peng Zhang, Zhenjiang Chao, Han-Chieh Department of Electronic and Information Engineering Key Laboratory of Communication and Information Systems Beijing Municipal Commission of Education Beijing Jiaotong University Beijing100044 China Department of Software Engineering Key Laboratory of Communication and Information Systems Beijing Municipal Commission of Education Beijing Jiaotong University Beijing100044 China Department of Electrical Engineering National Dong Hwa University Hualien97401 Taiwan School of Information Science and Engineering Fujian University of Technology Fuzhou350118 China School of Mathematics and Computer Science Wuhan Polytechnic University Wuhan430023 China Department of Computer Science and Information Engineering National Ilan University Yilan County260 Taiwan
In recent years, mobile devices have taken a significant role in improving the quality of people’s life. In order to enhance the usability of those devices, more and more sensors have been built in. Furthermore, the ... 详细信息
来源: 评论
Ensemble of Learning Project Productivity in software Effort Based on Use Case Points
arXiv
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arXiv 2018年
作者: Azzeh, Mohammad Nassif, Ali Bou Banitaan, Shadi López-Martín, Cuauhtémoc Department of Software Engineering Applied Science Private University Amman Jordan Department of Electrical and Computer Engineering University of Sharjah Sharjah United Arab Emirates Department of Mathematics Computer Science and Software Engineering University of Detroit Mercy United States Department of Information Systems Universidad de Guadalajara Mexico
It is well recognized that the project productivity is a key driver in estimating software project effort from Use Case Point size metric at early software development stages. Although, there are few proposed models f... 详细信息
来源: 评论
A Proof-of-Concept Model Demonstration of System Level Cyber Attacks on Availability
A Proof-of-Concept Model Demonstration of System Level Cyber...
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IEEE SoutheastCon
作者: Uma Kannan Rajendran Swamidurai David Umphress Department of Computer Information Systems Alabama State University Montgomery AL USA Department of Mathematics and Computer Science Alabama State University Montgomery AL USA Department of Computer Science and Software Engineering Auburn University Auburn AL USA
In this study we have modeled a cyber security situation and demonstrated the system level effects using system dynamics PoC (Proof-of-Concept) model. We modeled a hypothetical Company's Information Technology inf... 详细信息
来源: 评论
ν-SVR polynomial kernel for predicting the defect density in new software projects
arXiv
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arXiv 2018年
作者: López-Martín, Cuauhtémoc Azzeh, Mohammad Nassif, Ali Bou Banitaan, Shadi Department of Information Systems Universidad de Guadalajara Mexico Department of Software Engineering Applied Science Private University Amman Jordan Department of Electrical and Computer Engineering University of Sharjah Sharjah United Arab Emirates Department of Mathematics Computer Science and Software Engineering University of Detroit Mercy DetroitMI United States
An important product measure to determine the effectiveness of software processes is the defect density (DD). In this study, we propose the application of support vector regression (SVR) to predict the DD of new softw... 详细信息
来源: 评论