Relevant bibliographies by topics / Selection network (SN)

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Selection network (SN)'

Author: Grafiati
Published: 14 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Selection network (SN)"

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Di Tella, Sonia, Matteo De Marco, Isabella Anzuino, Davide Quaranta, Francesca Baglio, and Maria Caterina Silveri. "The Contribution of Cognitive Control Networks in Word Selection Processing in Parkinson’s Disease: Novel Insights from a Functional Connectivity Study." Brain Sciences 14, no. 9 (2024): 913. http://dx.doi.org/10.3390/brainsci14090913.

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Parkinson’s disease (PD) patients are impaired in word production when the word has to be selected among competing alternatives requiring higher attentional resources. In PD, word selection processes are correlated with the structural integrity of the inferior frontal gyrus, which is critical for response selection, and the uncinate fasciculus, which is necessary for processing lexical information. In early PD, we investigated the role of the main cognitive large-scale networks, namely the salience network (SN), the central executive networks (CENs), and the default mode network (DMN), in word
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Mesodiakaki, Agapi, Ferrán Adelantado, Luis Alonso, and Christos Verikoukis. "Performance Analysis of a Cognitive Radio Contention-Aware Channel Selection Algorithm." IEEE Transactions on Vehicular Technologies 64, no. 5 (2015): 1958–72. https://doi.org/10.1109/TVT.2014.2341115.

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In cognitive radio (CR) networks, due to the ever increasing traffic demands and the limited spectrum resources, it is very likely for several secondary networks (SNs) to coexist and opportunistically use the same primary user (PU) resources. In such scenarios, the ability to distinguish whether a licensed channel is occupied by a PU or by other SNs can significantly improve the spectrum efficiency of the network, while the contention among the SNs already operating on licensed channels with no PU activity may further affect its throughput and energy efficiency. Therefore, the proper selection
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Höfinger, Gerhard, and Stefan Brunner. "Network-based Simulation in Water Construction – a Flexible Tool for Equipment Selection." SNE Simulation Notes Europe 26, no. 1 (2016): 55–58. http://dx.doi.org/10.11128/sne.26.sn.10329.

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Zakariyya, Aliyu, Umar Iliyasu, and Bashir Ahmad Jamilu. "Optimal selection of cluster head in wireless sensor networks using particle swarm optimization (PSO)." Dutse Journal of Pure and Applied Sciences 9, no. 3a (2023): 226–36. http://dx.doi.org/10.4314/dujopas.v9i3a.23.

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In a wide range of applications, such as the military, healthcare, and environmental monitoring, wireless sensor networks (WSNs) have emerged as a key player. Cluster-based WSNs are a viable method for enhancing the life of the sensor network. Choosing the proper cluster head for wireless sensor networks (WSNs) is a key undertaking that affects the network's performance. Current approaches for selecting the cluster head have a number of drawbacks, such as nodes dying too quickly, uneven energy utilization, and shorter network lifespan. Additionally, conventional techniques like fixed Cluster H
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Karchev, Konstantin, and Roberto Trotta. "STAR NRE: solving supernova selection effects with set-based truncated auto-regressive neural ratio estimation." Journal of Cosmology and Astroparticle Physics 2025, no. 07 (2025): 031. https://doi.org/10.1088/1475-7516/2025/07/031.

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Abstract Accounting for selection effects in supernova type Ia (SN Ia) cosmology is crucial for unbiased cosmological parameter inference — even more so for the next generation of large, mostly photometric-only surveys. The conventional “bias correction” procedure has a built-in systematic bias towards the fiducial model used to derive it and fails to account for the additional Eddington bias that arises in the presence of significant redshift uncertainty. On the other hand, likelihood-based analyses within a Bayesian hierarchical model, e.g. using MCMC, scale poorly with the data set size and
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Deepa, C., B. Latha, and I. Jenish. "Development and Performance Evaluation of a New Energy-Efficient Double Cluster-Head Routing (EEDCR) Protocol for Wireless Sensor Networks." Wireless Communications and Mobile Computing 2022 (June 21, 2022): 1–13. http://dx.doi.org/10.1155/2022/5041153.

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Utilization of energy and the lifetime increment are the big issues in designing of routing algorithms for wireless sensor networks (WSNs). Many routing algorithms have been developed by various researchers to achieve energy efficiency and to improve the lifetime of the network. But, the way to route the information from the sensor node (SN) to the base station (BS) and vice versa is an important issue, because of resource constraints. In this paper, we have proposed a low energy consumed, cluster-based routing protocol named an energy-efficient and double cluster-head routing (EEDCR) protocol
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Nasimifar, Mahdi, Senthilmurugan Thyagarajan, Sarah Chaudhari, and Nadarajah Sivaneswaran. "Pavement Structural Capacity from Traffic Speed Deflectometer for Network Level Pavement Management System Application." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 2 (2019): 456–65. http://dx.doi.org/10.1177/0361198118825122.

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Structural number (SN) represents the structural capacity of a flexible pavement system to sustain anticipated traffic and is among the structural indices most commonly used by pavement design engineers in the U.S. Effective structural number (SNeff) is an indicator of structural capacity of in-service pavement sections and is conventionally estimated from nondestructive testing (NDT) device data such as falling weight deflectometers (FWDs) using methods such as suggested by AASHTO. In addition to pavement design, structural condition is a critical input for the selection of maintenance and re
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He, Yixin, Daosen Zhai, Dawei Wang, Xiao Tang, and Ruonan Zhang. "A Relay Selection Protocol for UAV-Assisted VANETs." Applied Sciences 10, no. 23 (2020): 8762. http://dx.doi.org/10.3390/app10238762.

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In this paper, we investigate the relay selection problem for the unmanned aerial vehicle (UAV)-assisted vehicular ad-hoc networks (VANETs). For the considered network, we first model and analyze the link quality of service (LQoS) from the source node (SN) to the neighbor node and the node forward capacity (NFC) from the neighbor node to the destination node (DN). Then, the relay selection problem is formulated as a multi-objective optimization problem by jointly considering the LQoS and the NFC. Afterward, we decompose the problem into two subproblems and propose a relay selection protocol wi
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Xiao, Xingxing, and Haining Huang. "A Clustering Routing Algorithm Based on Improved Ant Colony Optimization Algorithms for Underwater Wireless Sensor Networks." Algorithms 13, no. 10 (2020): 250. http://dx.doi.org/10.3390/a13100250.

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Because of the complicated underwater environment, the efficiency of data transmission from underwater sensor nodes to a sink node (SN) is faced with great challenges. Aiming at the problem of energy consumption in underwater wireless sensor networks (UWSNs), this paper proposes an energy-efficient clustering routing algorithm based on an improved ant colony optimization (ACO) algorithm. In clustering routing algorithms, the network is divided into many clusters, and each cluster consists of one cluster head node (CHN) and several cluster member nodes (CMNs). This paper optimizes the CHN selec
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D. Mohanapriya. "Gaussian Distributive Clustering Based Multi-Objective Truncated Grasshopper Optimal Path Selection for Energy Efficient Routing in WSN." Journal of Information Systems Engineering and Management 10, no. 44s (2025): 911–29. https://doi.org/10.52783/jisem.v10i44s.8689.

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WSN is network that contain numerous SN deployed within a specific region for sensing and collecting data as well as transmitting to the BS. WSNs consistently face challenges in delivering the information to the base station with minimal delay, energy utilization, and packet loss. Energy efficiency is also considered one of the major issues in the WSNs through the routing process. An efficient routing protocol is required to mention these constraints as well as enhance effectiveness of WSNs. Motivated by these challenges, a Gaussian Distributive Clustering-based Multi-Objective Truncated Grass
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Dissertations / Theses on the topic "Selection network (SN)"

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XIAO, GUOPING. "VLSI architectures design for encoders of High Efficiency Video Coding (HEVC) standard." Doctoral thesis, Politecnico di Torino, 2016. http://hdl.handle.net/11583/2644058.

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The growing popularity of high resolution video and the continuously increasing demands for high quality video on mobile devices are producing stronger needs for more efficient video encoder. Concerning these desires, HEVC, a newest video coding standard, has been developed by a joint team formed by ISO/IEO MPEG and ITU/T VCEG. Its design goal is to achieve a 50% compression gain over its predecessor H.264 with an equal or even higher perceptual video quality. Motion Estimation (ME) being as one of the most critical module in video coding contributes almost 50%-70% of computational complexity
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Book chapters on the topic "Selection network (SN)"

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Mary Vincent, Le Duff Franck, Mougin Fleur, and Le Beux Pierre. "Method for Automatic Management of the Semantic Network Ambiguity in the UMLS : Possible Application for Information Retrieval on the Web." In Studies in Health Technology and Informatics. IOS Press, 2003. https://doi.org/10.3233/978-1-60750-939-4-475.

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The Unified Medical Language System (UMLS) is an extensive collection of terms and concepts. The UMLS includes biomedical terms from standard classifications. The semantic network (SN) links the concepts, sometimes ambiguously. In this paper we try, on one hand to describe the relationship between concepts more efficiently and on the other hand to find new relationships. Assuming that re-usability and automatic extraction of knowledge from existing thesaurus enables an improvement of the metathesaurus, we cross the SN with linked concepts from the ADM (Assisted Medical Diagnosis). Results are
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Dhiman, Saloni, Deepti Kakkar, and Gurjot Kaur. "Performance Analysis of Multi-Hop Routing Protocol With Optimized Grid-Based Clustering for Wireless Sensor Network." In Advances in Computer and Electrical Engineering. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1626-3.ch009.

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Wireless sensor networks (WSNs) consist of several sensor nodes (SNs) that are powered by battery, so their lifetime is limited, which ultimately affects the lifespan and hence performance of the overall networks. Till now many techniques have been developed to solve this problem of WSN. Clustering is among the effective technique used for increasing the network lifespan. In this chapter, analysis of multi-hop routing protocol based on grid clustering with different selection criteria is presented. For analysis, the network is divided into equal-sized grids where each grid corresponds to a clu
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Conference papers on the topic "Selection network (SN)"

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Radavičiūtė, Gabrielė, and Ieva Meidutė-Kavaliauskienė. "The negative impact of social networks on supply chain management: systematic literature review." In 14th International Scientific Conference „Business and Management 2024“. Vilnius Gediminas Technical University, 2024. http://dx.doi.org/10.3846/bm.2024.1193.

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This systematic literature review examines the negative impacts of social media (SM) on supply chain management (SCM). Pre-defined selection criteria were used on four research questions to identify a hundred relevant publications from the Scopus database, including publishers such as Emerald, Elsevier, Springer, Inderscience, and Wiley. The review begins with the first research question – the characteristics of the selected publications. Then, the authors delve into the second question – negative impacts, such as reputational damage, profit losses, and unreliable data. The third question high
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