Results 121 to 130 of about 3,331,180 (402)

A Covert Channel in Packet Switching Data Networks [PDF]

, 2005
This paper presents a covert communication channel that exists in virtually all forms of packet switching data networks. On the one hand, this covert channel, if used properly, can potentially enhance the overall security of data communications over ...
Lutz, Peter, Yuan, Bo
core   +1 more source

YASCA: A collective intelligence approach for community detection in complex networks [PDF]

arXiv, 2014
In this paper we present an original approach for community detection in complex networks. The approach belongs to the family of seed-centric algorithms. However, instead of expanding communities around selected seeds as most of existing approaches do, we explore here applying an ensemble clustering approach to different network partitions derived from
arxiv  

Bone‐wise rigid registration of femur, tibia, and fibula for the tracking of temporal changes

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Multiple myeloma (MM) induces temporal alterations in bone structure, such as osteolytic bone lesions, which are challenging to identify through manual image interpretation. The large variation in radiologists' assessments, even at expert centers, further complicates diagnosis.
Arttu Ruohola, Ville Haapamäki, Eero Salli, Tuomas Kaseva, Marko Kangasniemi, Sauli Savolainen   +5 more
wiley   +1 more source

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising, Frank Verhaegen, Stefan G. Scheib, Maria J. G. Jacobs, Carol X. J. Ou, Viola Mottarella, Yin‐Ho Chong, Mariangela Zamburlini, Sebastiaan M. J. J. G. Nijsten, Ans Swinnen, Michel Öllers, Cecile J. A. Wolfs   +11 more
wiley   +1 more source

Neighborhoods are good communities [PDF]

arXiv, 2011
The communities of a social network are sets of vertices with more connections inside the set than outside. We theoretically demonstrate that two commonly observed properties of social networks, heavy-tailed degree distributions and large clustering coefficients, imply the existence of vertex neighborhoods (also known as egonets) that are themselves ...
arxiv  

Assessment of a medical physics educational program for science teachers

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Medical physics is a fulfilling profession where physics is applied to advance human health. However, many are uninformed of the role of physicists in medicine, and students are unaware of this career pathway. This study presents a pilot 1‐year program for science teachers to learn about physics in medicine and share with students
Ashley J. Cetnar, Jeffrey Woollard, Lin Ding   +2 more
wiley   +1 more source

A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective

IEEE Access, 2018
The vision of Industry 4.0, otherwise known as the fourth industrial revolution, is the integration of massively deployed smart computing and network technologies in industrial production and manufacturing settings for the purposes of automation ...
Hansong Xu, Wei Yu, David Griffith, Nada Golmie   +3 more
doaj   +1 more source

Risk analysis of the Unity 1.5T MR‐Linac adapt‐to‐shape workflow

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background and Purpose The adapt‐to‐shape (ATS) workflow on the Unity MR‐Linac (Elekta AB, Stockholm, Sweden) allows for full replanning including recontouring and reoptimization5. Additional complexity to this workflow is added when the adaptation involves the use of MIM Maestro (MIM Software, Cleveland, OH) software in conjunction with ...
Jiayi Liang, Eric Aliotta, Neelam Tyagi, Paola Godoy Scripes, Nicolas Côté, Ergys Subashi, Qijie Huang, Lian Sun, Ching‐Yun Chan, Angela Ng, Theresa Wunner, Victoria Brennan, Kaveh Zakeri, James Mechalakos   +13 more
wiley   +1 more source

Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms

Sensors
Widespread and ever-increasing cybersecurity attacks against Internet of Things (IoT) systems are causing a wide range of problems for individuals and organizations.
Esra Altulaihan, Mohammed Amin Almaiah, Ahmed Aljughaiman   +2 more
doaj   +1 more source

Network Community Detection on Small Quantum Computers

Advanced Quantum Technologies, 2019
AbstractIn recent years, a number of quantum computing devices with small numbers of qubits have become available. A hybrid quantum local search (QLS) approach that combines a classical machine and a small quantum device to solve problems of practical size is presented. The proposed approach is applied to the network community detection problem. QLS is
Ruslan Shaydulin, Hayato Ushijima‐Mwesigwa, Ilya Safro, Susan Mniszewski, Yuri Alexeev   +4 more
openaire   +4 more sources