Paramounts of Intent-based Networking: Overview by Martins Mihaeljans, Andris Skrastins, Jurgis Porins

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Enhancing network Quality of Experience based on Artificial Neural Networks by Ali Mohammed, Rana Ghani

“…In modern networking, ensuring both Quality of Experience (QoE) and Quality of Service (QoS) is paramount due to the increasing demand for efficient, reliable, and high-performance networks. …”
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Inference of ecological networks and possibilistic dynamics based on Boolean networks from observations and prior knowledge by Loïc Paulevé, Cédric Gaucherel

“…Abstract Being able to infer the interactions between a set of species from observations of the system is of paramount importance to obtain explanatory and predictive models in ecology. …”
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A Pre-Emptive Scheduling Mechanism for Service Assurance of Network Slicing in Next Generation Cellular Networks by Ege Engin, Ibrahim Hokelek, Ali Gorcin, Hakan Ali Cirpan

“…In this paper, we propose a pre-emptive scheduling mechanism for managing network slices, specifically enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low-Latency Communications (URLLC), in 5G and beyond (5GB) networks, leveraging network slicing to optimize resource management. …”
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Multiplex Networks and Pan-Cancer Multiomics-Based Driver Gene Identification Using Graph Neural Networks by Xingyi Li, Junming Li, Jun Hao, Xingyu Liao, Min Li, Xuequn Shang

“…Abundant omics data and interactome networks provided by numerous extensive databases enable the application of graph deep learning techniques that incorporate network structures into the deep learning framework. …”
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Toward next-generation networks: A blockchain-based approach for core network architecture and roaming identity verification by Yi Gong, Boyuan Yu, Lei Yang, Fanke Meng, Lei Liu, Xinjue Hu, Zhan Xu

“…With the evolution of next-generation communication networks, ensuring robust Core Network (CN) architecture and data security has become paramount. …”
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Combining Software-Defined and Delay-Tolerant Networking Concepts With Deep Reinforcement Learning Technology to Enhance Vehicular Networks by Olivia Nakayima, Mostafa I. Soliman, Kazunori Ueda, Samir A. Elsagheer Mohamed

“…Ensuring reliable data transmission in all Vehicular Ad-hoc Network (VANET) segments is paramount in modern vehicular communications. …”
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Automatic detection of sleep spindles by neural networks algorithms by Jan Rychlík, Roman Mouček

“…The convolutional neural network emerged as the most effective classification model, achieving an accuracy surpassing 67 %. …”
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Ground Vibrations Prediction Using Artificial Neural Networks by Ismail Derbal, Nouredine Bourahla, Ahmed Mebarki, Ramdane Bahar

“…Predicting the propagation of ground vibration wave, induced by highways, railways, electrical power plants and other industrial activities, in their vicinity is of paramount importance to evaluate the degree of nuisance to populations, buildings and sensitive equipment. …”
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Drug discovery and mechanism prediction with explainable graph neural networks by Conghao Wang, Gaurav Asok Kumar, Jagath C. Rajapakse

“…Abstract Apprehension of drug action mechanism is paramount for drug response prediction and precision medicine. …”
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Semi-Supervised Learning for Intrusion Detection in Large Computer Networks by Brandon Williams, Lijun Qian

“…In an increasingly interconnected world, securing large networks against cyber-threats has become paramount as cyberattacks become more rampant, difficult, and expensive to remedy. …”
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Mixed metric dimension and exchange property of hexagonal nano-network by Peide Liu, Sikander Ali, Muhammad Azeem, Muhammad Kamran Jamil, Manzoor Ahmad Zahid, Waleed Ali, Bandar Almohsen

“…Abstract The mixed metric dimension of a graph is an important parameter in characterizing its structural complexity, specifically in nanoscale networks where precision is paramount. In this article, we calculate the mixed metric dimension of hexagonal nano-network, a modal with significant applications in nanotechnology and material science. …”
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Graph neural network-based drug-drug interaction prediction by Khushnood Abbas, Chen Hao, Xu Yong, Mohammad Kamrul Hasan, Shayla Islam, Abdul Hadi Abd Rahman

“…Thus, the accurate prediction of DDIs is paramount. Building on recent advancements in graph neural network (GNN) architectures, this paper extends prior research, such as the SAGE GNN model, Graph Attention Network model, and Graph Diffusion Network model, by integrating advanced techniques such as skip connections, post-processing layers, and optimized training methods. …”
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Security Orchestration in 5G and Beyond Smart Network Technologies by Sadeep Batewela, Madhusanka Liyanage, Engin Zeydan, Mika Ylianttila, Pasika Ranaweera

“…The seamless integration of SCO into emerging 5G/B5G technologies, such as Open Radio Access Networks (ORAN), Zero-touch network and Service Management (ZSM), Software-Defined Networking (SDN), Network Function Virtualization (NFV), Multi-access Edge Computing (MEC), cloud computing, and Network Slicing (NS), is of paramount importance for realizing the vision of zero-touch, self-repair, self-healing, and secure networks. …”
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A Survey for Blockchain-Enabled Resource Management in Edge Networks by Sharon A. Boamah, Jean D. Louis, Janise McNair, Juan E. Gilbert

“…This necessitates a drastic change in the existing edge network infrastructure. As these devices come online, make requests, and go offline, the allocation and management of edge network resources become paramount. …”
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Integrating PCA and DEA techniques for strategic assessment of network security by Reza Rasinojehdehi, Seyyed Najafi

“…Network security is paramount in safeguarding the integrity of computer networks and the data they host. …”
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A Convolutional Neural Network for Early Supraventricular Arrhythmia Identification by Emilio J. Ochoa, Luis C. Revilla

“…These challenges are of paramount importance, as recurrent SVEs may elevate the risk of developing severe SVAs, potentially resulting in cardiac weakening and subsequent heart failure. …”
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Energy-Efficient Node Selection for Target Tracking in Wireless Sensor Networks by Yong Wang, Dianhong Wang

“…Saving energy while preserving accuracy is of paramount importance to target tracking in wireless sensor networks. …”
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Physics-Informed Neural Networks for Unmanned Aerial Vehicle System Estimation by Domenico Bianchi, Nicola Epicoco, Mario Di Ferdinando, Stefano Di Gennaro, Pierdomenico Pepe

“…This study presents an approach for estimating the dynamic model of Unmanned Aerial Vehicles based on Physics-Informed Neural Networks (PINNs), which is of paramount importance due to the presence of uncertain data and since control actions are required in very short computation times. …”
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Cooperative, reliable, and stability-aware routing for underwater wireless sensor networks by Munsif Ali, Anwar Khan, Hasan Mahmood, Naeem Bhatti

“…In underwater wireless sensor networks, stability and reliability of the network are of paramount importance. …”
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