26 papers · ranked by Valyu relevance
Saray Shai, Isaac Jacobs, Peter J. Mucha
—Network classification aims to group networks (or graphs) into distinct categories based on their structure. We study the connection between classification of a network and of its constituent nodes, and whether nodes from networks in different groups are distinguishable based on structural node characteristics such as…
Md Ariful Haque, Rajesh Palit
—Focus on Deep Neural Network based malicious and normal computer Network Traffic classification. (such as attacks, phishing, any other illegal activity and normal traffic identification). In this paper, the main idea is to review, existed Neural Network based network traffic classification. Which indicates intrusion…
Gonzalo Travieso, Joao Merenda, Odemir M. Bruno
Network models have been widely used to study diverse systems and analyze their dynamic behaviors. Given the structural variability of networks, an intriguing question arises: Can we infer the type of system represented by a network based on its structure? This classification problem involves extracting relevant…
Hesham Alhumyani, Ibrahim El Rube, Sameer Alsharif, Ashraf Afifi + 3 more
'Chokri Ben Amar' 'Hala S. El‐sayed' 'Osama S. Faragallah'] Abstract: Internet of Things (IoT) defines a network of devices connected to the internet and sharing a massive amount of data between each other and a central location. These IoT devices are connected to a network therefore prone to attacks. Various…
Benoît Pichon, Rémy Le Goff, Hélène Morlon, Benoît Perez-Lamarque
Characterizing and understanding the processes that shape the structure of ecological networks, which represent who interacts with whom in a community, has many implications in ecology, evolutionary biology, and conservation. A highly debated question is whether and how the structure of a bipartite ecological network…
Ahmad Antari, Yazan Abo-Aisheh, Jehad Shamasneh, Huthaifa I. Ashqar
—This study uses various models to address network traffic classification, categorizing traffic into web, browsing, IPSec, backup, and email. We collected a comprehensive dataset from Arbor Edge Defender (AED) devices, comprising of 30,959 observations and 19 features. Multiple models were evaluated, including Naive…
Jawad Hussain Kalwar, Sania Bhatti
Internet of Things (IoT): A Survey Authors: ['Jawad Hussain Kalwar' 'Sania Bhatti'] The Internet of Things (IoT) has witnessed unprecedented growth, resulting in a massive influx of diverse network traffic from interconnected devices. Effectively classifying this network traffic is crucial for optimizing resource…
Khuong N. Nguyen, Abhishek Sehgal, Yuming Zhu, Junsu Choi + 4 more
'Guanbo Chen' 'Hao Chen' 'Boon Loong Ng' 'Charlie Zhang'] Abstract—As the complexity and scale of modern computer networks continue to increase, there has emerged an urgent need for precise traffic analysis, which plays a pivotal role in cutting-edge wireless connectivity technologies. This study focuses on leveraging…
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…
Enrico Borriello
The search for motifs –recurrent patterns in the topology of a network– has allowed the identification of universal classes of complex systems from very diverse fields, and has been used as a quantitative tool to highlight unifying properties of evolved and designed networks. This work explores if, and to what extent…
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…
Yang Yu, Shuang Wang, Dong Xu, Juexin Wang
The spatial arrangement of cells within tissues plays a pivotal role in shaping tissue functions. A critical spatial pattern is network motif as the building blocks of cell organization. Network motifs can be represented as recurring significant interconnections of cells with various types in a spatial cell-relation…
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.…
James Swift, Matthew Arran Turner, James Christopher Reynolds
A rapid headspace analysis method for the authenticity testing of whiskies of different brands and years was developed for a low cost, deployable atmospheric pressure ionisation mass spectrometer, which required minimal sample preparation. Principal component analysis was applied to the time-averaged mass spectra, the…
Yeji Lee, Soyeong Kim, Yuna Park, Eunah Jeong + 6 more
Understanding the complex nature of multi-functional interactions among genes is crucial for interpreting omics data. We developed NetCrafter, an ontology-driven platform for constructing de novo gene networks that are specific to each input gene list and quantitatively defined by ontology-weighted similarity. By…
Daniel Barter, Evan Walter Clark Spotte-Smith, Nikita S. Redkar, Shyam Dwaraknath + 2 more
Chemical reaction networks (CRNs) are powerful tools for obtaining mechanistic insight into complex reactive processes. However, they are limited in their applicability where reaction mechanisms are not well understood and products are unknown. Here we report new methods of CRN generation and analysis that overcome…
Authors not listed
Because topology plays a key role in many chemical and physical properties of materials, identification of topology from crystalline structures is a common and important task in materials science. We present here a new web application, CrystalNets, whose user-friendly interface allows scientists to identify and…
Harshavardhan BV, Sarah Adigwe, Mohit Kumar Jolly, Tomáš Gedeon
Cell fate decisions are driven by gene regulatory networks (GRNs). While the mutually inhibitory toggle switch effectively models binary fate decisions, fully connected inhibitory networks with more than two nodes fail to capture multi-fate decisions due to the low prevalence of “single high states”, where only a…
Daniel Barter, Evan Walter Clark Spotte-Smith, Nikita S. Redkar, Shyam Dwaraknath + 2 more
Chemical reaction networks (CRNs) are powerful tools for obtaining mechanistic insight into complex reactive processes. However, they are limited in their applicability where reaction mechanisms are unintuitive, and products are unknown. Here we report new methods of CRN generation and analysis that overcome these…
Shubham Tripathi, David A. Kessler, Herbert Levine
Regulatory networks as large and complex as those implicated in cell-fate choice are expected to exhibit intricate, very high-dimensional dynamics. Cell-fate choice, however, is a macroscopically simple process. Additionally, regulatory network models are almost always incomplete and / or inexact, and do not…
Daniel Barter, Evan Walter Clark Spotte-Smith, Nikita S. Redkar, Aniruddh Khanwale + 3 more
Chemical reaction networks (CRNs) are powerful tools for obtaining insight into complex reactive processes. However, they are difficult to employ when reaction mechanisms and products are not thoroughly understood. Here we report new methods of CRN generation and analysis that seek to overcome these limitations. We…
Chi Zhang, Dmytro Antypov, Matthew J Rosseinsky, Matthew Stephen Dyer
Machine learning has found wide application in the materials field, particularly in discovering structure-property relationships. However, its potential in predicting synthetic accessibility of materials remains relatively unexplored due to the lack of negative data. In this study, we employ several one-class…