16 papers · ranked by Valyu relevance
Raima Carol Appaw, Nicholas M. Fountain-Jones, Michael A. Charleston
The ability to simulate realistic networks based on empirical data is an important task across scientific disciplines, from epidemiology to computer science. Often, simulation approaches involve selecting a suitable network generative model such as Erdös-Rényi or small-world. However, few tools are available to…
Changqing Zhao, Ling Xia Liao, Guomin Chen, Han-Chieh Chao + 2 more
'Javier Prieto' 'Mehmet Rasit Yuce'] The accurate and efficient classification of network traffic, including malicious traffic, is essential for effective network management, cybersecurity, and resource optimization. However, traffic classification methods in modern, complex, and dynamic networks face significant…
Rajkumar Kulandaivel, Manikandan Ramachandran, Sathishkumar Veerappampalayam Easwaramoorthy, Jaehyuk Cho + 1 more
Recent evolution in connected devices modelled a massive stipulation for network traffic resources and classification. Software-defined networking (SDN) enables ML techniques with the Internet of Things (IoT) to automate network traffic. This helps to reduce accuracy and improves latency. Problems by conventional…
Nikolaos Peppes, Emmanouil Daskalakis, Theodoros Alexakis, Evgenia Adamopoulou + 2 more
'Evgenia Adamopoulou' 'Konstantinos Demestichas' 'Ivan Andonovic'] The upcoming agricultural revolution, known as Agriculture 4.0, integrates cutting-edge Information and Communication Technologies in existing operations. Various cyber threats related to the aforementioned integration have attracted increasing interest…
Heewon Park, Satoru Miyano, Senthilnathan Palaniyandi
Unraveling the genetic regulatory networks that underlie diseases is essential for comprehending the intricate mechanisms of these conditions. While various computational strategies were developed, the approaches in the existing studies concerning network-based prediction and classification are based on the…
Lourens Touwen, Doina Bucur, Remco van der Hofstad, Alessandro Garavaglia + 1 more
'Alessandro Garavaglia' 'Nelly Litvak'] We propose a novel model-selection method for dynamic networks. Our approach involves training a classifier on a large body of synthetic network data. The data is generated by simulating nine state-of-the-art random graph models for dynamic networks, with parameter range chosen…
Osama Bassam J. Rabie, Shitharth Selvarajan, Tawfiq Hasanin, Abdulrhman M. Alshareef + 2 more
'Abdulrhman M. Alshareef' 'C. K. Yogesh' 'Mueen Uddin'] The Internet of Things (IoT) is extensively used in modern-day life, such as in smart homes, intelligent transportation, etc. However, the present security measures cannot fully protect the IoT due to its vulnerability to malicious assaults. Intrusion detection…
Weiguang Liu, Rafael Delalibera Rodrigues, Jianglong Yan, Yu-tao Zhu + 5 more
'Everson José de Freitas Pereira' 'Gen Li' 'Qiusheng Zheng' 'Liang Zhao' 'Zhaoqing Pan'] In this work, we present a network-based technique for chest X-ray image classification to help the diagnosis and prognosis of patients with COVID-19. From visual inspection, we perceive that healthy and COVID-19 chest radiographic…
Óscar Mogollón Gutiérrez, José Carlos Sancho Núñez, Mar Ávila, Andrés Caro + 1 more
'Andrés Caro' 'M. Emilia Cambronero'] The evolution of engineering applications is highly relevant in the context of protecting industrial systems. As industries are increasingly interconnected, the need for robust cybersecurity measures becomes paramount. Engineering informatics not only provides tools for knowledge…
Michael Taynnan Barros, Harun Siljak, Peter Mullen, Constantinos Papadias + 3 more
'Constantinos Papadias' 'Jari Hyttinen' 'Nicola Marchetti' 'Dmitri B. Kireev'] The classification of biological neuron types and networks poses challenges to the full understanding of the human brain’s organisation and functioning. In this paper, we develop a novel objective classification model of biological neuronal…
Marinka Zitnik, Michelle M Li, Aydin Wells, Kimberly Glass + 34 more
Inference of a network from nonnetwork data. Biological networks that are computationally inferred from nonnetwork -omics data can be categorized into three broad types: association networks, correlation networks, and regulatory networks. The three network types are defined briefly in [vbae099-BOX1], discussed in…
Alicja Miniak-Górecka, Krzysztof Podlaski, Tomasz Gwizdałła, Yilun Shang
'Yilun Shang'] The classification of multi-dimensional patterns is one of the most popular and often most challenging problems of machine learning. That is why some new approaches are being tried, expected to improve existing ones. The article proposes a new technique based on the decision network called…
Madushi H. Pathmaperuma, Yogachandran Rahulamathavan, Safak Dogan, Ahmet M. Kondoz + 2 more
'Ahmet M. Kondoz' 'Zhongyun Hua' 'Yushu Zhang'] Despite the widespread use of encryption techniques to provide confidentiality over Internet communications, mobile device users are still susceptible to privacy and security risks. In this paper, a novel Deep Neural Network (DNN) based on a user activity detection…
Lijuan Zhang
Teachers in traditional English education devote a great deal of time and effort to developing excellent English teaching courseware and other teaching materials. However, because the network's powerful sharing capability was not fully utilized, poor resource sharing hampered the school's overall teaching efficiency.…
Yongheng Zhang, Yuliang Lu, Guozheng Yang, Dongdong Hou + 5 more
'Boleslaw K. Szymanski' 'Jianxi Gao' 'Lu Zhong' 'Xueming Liu'] The Internet creates multidimensional and complex relationships in terms of the composition, application and mapping of social users. Most of the previous related research has focused on the single-layer topology of physical device networks but ignored the…
Worku Gachena Negera, Friedhelm Schwenker, Taye Girma Debelee, Henock Mulugeta Melaku + 3 more
'Henock Mulugeta Melaku' 'Yehualashet Megeresa Ayano' 'Jinoh Kim' 'Alexander Sim'] The orchestration of software-defined networks (SDN) and the internet of things (IoT) has revolutionized the computing fields. These include the broad spectrum of connectivity to sensors and electronic appliances beyond standard…