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Journal articles on the topic 'SPAN Networks'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Acakpovi, Amevi, Dominique Kogue, Koudjo Mawuefam Koumadi, and Ibrahim Tahirou. "Inteference Mitigation in Femtocellular Networks." International Journal of Informatics and Communication Technology (IJ-ICT) 3, no. 2 (2014): 113. http://dx.doi.org/10.11591/ijict.v3i2.pp113-121.

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<span lang="EN-US">Femtocells can significantly boost up wireless cellular network capacity by reducing communication distances to user equipment and also by reusing resources already utilized in the macrocell network on which they overlay. However, the deployment of femtocells within a macrocell coverage area, causes severe interference between the femtocell and the macrocell, which may have an impact on the overall performance of the femtocells. Avoiding such interference is very important for the effective co-existence </span><span lang="EN-US">of femtocells and macrocell.

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Riera, Celine E., Carsten Merkwirth, C. Daniel De Magalhaes Filho, and Andrew Dillin. "Signaling Networks Determining Life Span." Annual Review of Biochemistry 85, no. 1 (2016): 35–64. http://dx.doi.org/10.1146/annurev-biochem-060815-014451.

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3

Yu, Shaojun, Li Lin, Yujian Wang, and Xingyuan Chen. "Time Synchronization Algorithm for Wireless Sensor Networks Based on Frequency Offset Estimation." International Journal of Online Engineering (iJOE) 14, no. 06 (2018): 71. http://dx.doi.org/10.3991/ijoe.v14i06.8699.

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<p class="0abstract"><span lang="EN-US">A</span><span lang="EN-US">iming at solving the poor</span><span lang="EN-US"> the classical synchronous algorithm stability in wireless sensor network</span><span lang="EN-US"> and high overhead of </span><span lang="EN-US">clock phase offset and frequency offset</span><span lang="EN-US">, </span><span lang="EN-US">a synchronization algorithm (CSMS algorithm) was designed for wireless sensor networks based on frequency offset estimation. The CSMS algorithm used the low o

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4

Husam Mahdi, Miaad, and Ibrahim Adel Ibrahim. "Routing protocols for hybrid wireless networks: a brief review." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 2 (2022): 842. http://dx.doi.org/10.11591/ijeecs.v27.i2.pp842-848.

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Hybrid <span>wireless networks (HWNs) are resulted from the integration of a mobile Ad hoc networks (MANET) and an infrastructure wireless networks. These networks have received increasing interest from researchers for their superior performance and reliability. Packet routing protocols in hybrid wireless networks are important to increase the capacity and scalability of these networks, therefore, several routing protocols have been proposed. Routing protocols in HWNs are designed and implemented from combining <span>the cellular transmission mode with the Ad hoc transmission mode.

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He, Huan. "Privacy Protection of Node Location and Data in Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 12, no. 11 (2016): 34. http://dx.doi.org/10.3991/ijoe.v12i11.6235.

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<p class="Abstract"><span lang="EN-US">In order to solve the problem of low safety and low efficiency in distributed data protection in wireless sensor networks, a new method for </span><span lang="EN-US">privacy protection of node location and data in </span><span lang="EN-US">w</span><span lang="EN-US">ireless </span><span lang="EN-US">s</span><span lang="EN-US">ensor </span><span lang="EN-US">n</span><span lang="EN-US">etworks</span><span lang="EN-US"> is researched in this paper. The

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Susa, Marius, Kristijan Cincar, and Andrea Amalia Minda. "Security in Wireless Sensor Networks for Precision Agriculture: Threats, Prevention, and Protection Mechanisms." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 16, no. 2 (2025): 353. https://doi.org/10.70594/brain/16.2/25.

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<span id="docs-internal-guid-56bb1404-7fff-70af-568d-7f7a23c69e90"><span>This paper explores the</span><span>security challenges</span><span>associated with</span><span>data transmission</span><span>in</span><span>precision agriculture, emphasising the</span><span>vulnerabilities introduced by wireless sensor networks (WSNs</span><span>)</span><span>. To mitigate these risks, we provide a</span><span>comprehensive analysis</span><span>of different types of</spa

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Bhat, Rajeshwari, Mohammad Rashid Ansari, and Ruqaiya Khanam. "Effect of integrated power and clock networks on combinational circuits." International Journal of Reconfigurable and Embedded Systems (IJRES) 9, no. 3 (2020): 242. http://dx.doi.org/10.11591/ijres.v9.i3.pp242-248.

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<p class="western" align="JUSTIFY"><span style="font-size: small;"><span style="color: #000000;"><span style="font-family: 'Times New Roman', serif;"><span><span>Reduction of power consumption is necessary in a system on chip. To achieve this, power and clock networks can be integrated. This leads to a significant reduction in power consumption in a circuit. This paper explores the effect of such a network on various combinational circuits and compares the power consumption of these circuits with conventional combinational circuits. The combinational circuit

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8

Doran, Nick, and Ian Bennion. "Optical networks to span the globe." Physics World 9, no. 11 (1996): 35–40. http://dx.doi.org/10.1088/2058-7058/9/11/22.

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9

Galimberti, Edoardo, Martino Ciaperoni, Alain Barrat, Francesco Bonchi, Ciro Cattuto, and Francesco Gullo. "Span-core Decomposition for Temporal Networks." ACM Transactions on Knowledge Discovery from Data 15, no. 1 (2021): 1–44. http://dx.doi.org/10.1145/3418226.

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10

Duran-Quintero, Michel, John E. Candelo, and Jose Soto-Ortiz. "A modified backward/forward sweep-based method for reconfiguration of unbalanced distribution networks." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 1 (2019): 85. http://dx.doi.org/10.11591/ijece.v9i1.pp85-101.

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<span lang="EN-US">A three-phase unbalanced power flow method can provide a more realistic scenario of how distribution networks operate. The backward/forward sweep-based power flow method </span><span lang="EN-AU">(BF-PF)</span><span lang="EN-US"> has been used for many years as an important computational tool to solve the power flow for unbalanced and radial power systems. However, some of the </span><span lang="EN-AU">few </span><span lang="EN-US">available research tools produce many errors when </span><span lang="EN-AU">the

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11

Zhao, Zhigang. "Research on Invulnerability of Wireless Sensor Networks Based on Complex Network Topology Structure." International Journal of Online Engineering (iJOE) 13, no. 03 (2017): 100. http://dx.doi.org/10.3991/ijoe.v13i03.6863.

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<p><span style="font-family: 'Times New Roman',serif; font-size: 12pt; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;"><span style="font-family: 'Times New Roman',serif; font-size: 12pt; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;">For real-world wireless sensor networks (WSNs), the invulnerability of the network is very critical, because a cascading failure would

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Agarwal, Anurag. "Abductive Networks For Two-Group Classification: A Comparison With Neural Networks." Journal of Applied Business Research (JABR) 15, no. 2 (2011): 1. http://dx.doi.org/10.19030/jabr.v15i2.5675.

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<span>In this study, a new Artificial Intelligence technique for non-linear mapping called Abductive Networks is used for two-group classification of firms. The results are compared with Neural Networks, another AI technique, which has been shown to perform better than the traditional statistical techniques such as multivariate discriminant analysis and logit. In empirical tests, Abductive Networks perform as well or better than Neural Networks on various criteria of measurement such as Type 1 / Type II accuracy criteria and Distance Between Centroids.</span>

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Naga Chandrika, Gogulamudi, and E. Srinivasa Reddy. "A novel similarity measure for missing link prediction in social networks." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 2 (2020): 1071. http://dx.doi.org/10.11591/ijeecs.v19.i2.pp1071-1077.

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<p><span>Social Networks progress over time by the addition of new nodes and links, form associations with one community to the other community. Over a few decades, the fast expansion of Social Networks has attracted many researchers to pay more attention towards complex networks, the collection of social data, understand the social behaviors of complex networks and predict future conflicts. Thus, Link prediction is imperative to do research with social networks and network theory. The objective of this research is to find the hidden patterns and uncovered missing links over comple

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14

Chen, Lingling, Zhiyi Fang, and Xiaohui Zhao. "Probabilistical Robust Power Control for Cognitive Radio Networks under Interference Uncertainty Conditions." International Journal of Online Engineering (iJOE) 14, no. 07 (2018): 90. http://dx.doi.org/10.3991/ijoe.v14i07.8967.

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<p class="0abstract"><a name="OLE_LINK11"></a><a name="OLE_LINK12"></a><span lang="EN-US">The focus of this paper is to find a robust power control strategy with uncertain noise plus interference (NI) in </span><span lang="EN-US">cognitive radio networks (</span><span lang="EN-US">CRNs</span><span lang="EN-US">)in an </span><span lang="EN-US">under orthogonal frequency-division multiplexing (OFDM) framework. The optimization problem is formulated to maximize </span><span lang="EN-US">the </span&g

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Ma, Lili, Jiangping Liu, and Jidong Luo. "Method of Wireless Sensor Network Data Fusion." International Journal of Online Engineering (iJOE) 13, no. 09 (2017): 114. http://dx.doi.org/10.3991/ijoe.v13i09.7589.

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<p style="margin: 1em 0px;"><span lang="EN-US"><span style="font-family: 宋体; font-size: medium;">In order to better deal with large data information in computer networks, a large data fusion method based on wireless sensor networks is designed. Based on the analysis of the structure and learning algorithm of RBF neural networks, a heterogeneous RBF neural network information fusion algorithm in wireless sensor networks is presented. The effectiveness of information fusion processing methods is tested by RBF information fusion algorithm. The proposed algorithm is applied to he

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16

Huang, Zhi. "A Genetic Algorithm Based and Subtree Restricted Routing Algorithm in Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 14, no. 03 (2018): 52. http://dx.doi.org/10.3991/ijoe.v14i03.8018.

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<span lang="EN-US">The GA(genetic algorithms) was applied to find routing trees with minimal maximal sensor load</span><span lang="EN-US"> thus extend network lifetime in wireless sensor networks. However, t</span><span lang="EN-US">he existing algorithm</span><span lang="EN-US">limits search space of GA to avoid generating cycles by dividing sensors into layers and stipulating that a sensor only can select a sensor in its lower layer as its new parent.</span><span lang="EN-US"> In this paper, w</span><span lang="EN-US">e have f

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17

Jamal, A. M. M., and Cuddalore Sundar. "Modeling Exchange Rates With Neural Networks." Journal of Applied Business Research (JABR) 14, no. 1 (2011): 1. http://dx.doi.org/10.19030/jabr.v14i1.5723.

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<span>This paper applies the neural network model to forecast bilateral exchange rates between the U.S. and Germany and U.S. and France. The predictions from the neural network model were compared to those based on a standard econometric model. The results suggest that the neural network model may have some advantages when frequent short term forecasts are needed.</span>

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18

Nayakwadi, Nishanth Banu, and Ruksar Fatima. "Resource optimization-based network selection model for heterogeneous wireless networks." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 1 (2023): 357. http://dx.doi.org/10.11591/ijai.v12.i1.pp357-366.

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<p class="Abstract"><span lang="EN-US">The internet of things (IoT) environment prerequisite seamless connectivity for meeting real-time application requirements; thus, required efficient resource management techniques. Heterogeneous wireless networks (HWNs) have been emphasized for providing seamless connectivity with high quality of service (QoS) performance to provision IoT applications. However, the existing resource allocation scheme suffers from interference and fails to provide a quality experience for low-priority users. As a result, induce bandwidth wastage and increase ha

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19

Qian, Zhong, Peifeng Li, Qiaoming Zhu, and Guodong Zhou. "MRC and Transfer Learning Framework for Document-level Event Factuality Identification with Heterogeneous Spectral Attention Networks." Journal of Artificial Intelligence Research 82 (March 25, 2025): 1691–710. https://doi.org/10.1613/jair.1.17292.

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This paper concentrates on Document-level Event Factuality Identification (DEFI) that predicts event factuality values from the viewpoint of the document. At present, the shortcomings of previous studies are multi-fold, including data limitation and scarcity, coarsegrained interpretability without span-level factuality clues, no unified model for different datasets. This paper is devoted to address the above problems by building unified Machine Reading Comprehension (MRC) frameworks comprised of both span-extraction and multiple-choice styles, which exploit Heterogeneous Spectral Attention Net

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20

Socaciu, Tiberiu, and Paul Pașcu. "Physics-Informed Neural Networks in Pricing Financial Options." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 16, no. 2 (2025): 474. https://doi.org/10.70594/brain/16.2/33.

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<p dir="ltr"><span>PINNs (Physics-Informed Neural Networks) are neural networks designed to solve Partial Differential Equations (PDEs) by integrating physical knowledge into the learning framework. Constructing a PINN involves defining a neural network to approximate the PDE solution, with the total loss calculated as a combination of the losses associated with the PDE, boundary conditions, initial conditions, and measured data. This concept is employed in practical applications to solve various PDEs, such as the Black-Scholes and Heston equations, which are fundamental in financi

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21

Clouqueur, M., and W. D. Grover. "Availability analysis of span-restorable mesh networks." IEEE Journal on Selected Areas in Communications 20, no. 4 (2002): 810–21. http://dx.doi.org/10.1109/jsac.2002.1003046.

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22

Yu, Cunjiang. "Research on Event-driven Data Collection Protocol of Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 12, no. 10 (2016): 45. http://dx.doi.org/10.3991/ijoe.v12i10.6205.

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<p><span style="font-family: Times New Roman; font-size: small;">This paper carries out research on two types of event-driven data collection protocols of wireless sensor networks: EDDGP and ACBP protocols. In the EDDGP protocol, an adaptive evaluation model is put forward to select the cluster head, including the node classification, the fuzzy grade classification, the evaluation function and the parent grid resolution. Once an event of interest occurs, the member nodes will send the collected information to the cluster heads which will then integrate the data and send a </span

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23

DuPre, Elizabeth, and R. Nathan Spreng. "Structural covariance networks across the life span, from 6 to 94 years of age." Network Neuroscience 1, no. 3 (2017): 302–23. http://dx.doi.org/10.1162/netn_a_00016.

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Structural covariance examines covariation of gray matter morphology between brain regions and across individuals. Despite significant interest in the influence of age on structural covariance patterns, no study to date has provided a complete life span perspective—bridging childhood with early, middle, and late adulthood—on the development of structural covariance networks. Here, we investigate the life span trajectories of structural covariance in six canonical neurocognitive networks: default, dorsal attention, frontoparietal control, somatomotor, ventral attention, and visual. By combining

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Iparraguirre-Villanueva, Orlando, Victor Guevara-Ponce, Daniel Ruiz-Alvarado, et al. "Text prediction recurrent neural networks using long short-term memory-dropout." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 3 (2023): 1758. http://dx.doi.org/10.11591/ijeecs.v29.i3.pp1758-1768.

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<span lang="EN-US">Unit short-term memory (LSTM) is a type of recurrent neural network (RNN) whose sequence-based models are being used in text generation and/or prediction tasks, question answering, and classification systems due to their ability to learn long-term dependencies. The present research integrates the LSTM network and dropout technique to generate a text from a corpus as input, a model is developed to find the best way to extract the words from the context. For training the model, the poem "</span><em><span lang="EN-US">La Ciudad y los perros</span>&

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Hadi Saleh, Hassan, Israa Adnan Mishkal, and Dheyab Salman Ibrahim. "Controller placement problem in software defined networks." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 3 (2022): 1704. http://dx.doi.org/10.11591/ijeecs.v27.i3.pp1704-1711.

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<span>The requirements <span>for the network are increasing by the expanding and spreading the Internet. The Previous techniques of the network do not meet the modern needs, thus, a new technical presents software-defined networking (SDN). SDN recognizes as a promising new model that separates the control plane (traffic routing and network topology) from the data plane (network architecture layers). The architecture of SDN has some features that find in a single controller or many controllers instance of programmable, flexible, and scalable. In the current SDN, multiple controllers

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26

Yadav Kundala, Praveen Kumar, Mrutyunjaya Mangaraj, and Suresh Kumar Sudabattula. "Inductively coupled distributed static compensator for power quality analysis of distribution networks." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (2023): 1387. http://dx.doi.org/10.11591/ijece.v13i2.pp1387-1399.

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<span lang="EN-US">In this research paper, an inductively coupled distributed static compensator (IC-DSTATCOM) for three phase three wire (3P3W) electric power distribution system (EPDS) is proposed. The contraction of power quality (PQ) was marked as a perilous droop mode bump into direct coupled distributed static compensator (DC-DSTATCOM). To regain the PQ, inductive coupling transformer is assisted in conjunction with DC-DSTATCOM. The system equivalent circuit of IC-DSTATCOM is accomplished by take into account of impedance of both transformer and DC-DSTATCOM to reveal the filtering

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Purboyo, Wiryawan. "Penilaian Kinerja dan AKNOP Daerah Irigasi Rawa DR Malind Kabupaten Merauke, Provinsi Papua." INDONESIAN JOURNAL OF CONSTRUCTION ENGINEERING AND SUSTAINABLE DEVELOPMENT (CESD) 3, no. 1 (2020): 10. http://dx.doi.org/10.25105/cesd.v3i1.8018.

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<span><em>The Malind Swamp area (DR. MALIND) of 3,000 Ha is located +60 Km to the Northwest of the city of Merauke. </em><span><em>The Malind Swamp area consists of 4 (four) irrigation networks, i.e: Kurik 1 (Rawasari); Kurik 3 (Padang </em><span><em>Raharja); Kurik 5 (Suka Maju); and Kumbe. Swamp Irrigation is a supply bussines, regulate and dispose of water </em><span><em>through a swamp irrigation network in the agricultural cultivation area. An assessment of the level of performance </em><span><em>and the m

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Wang, Lin-lin, and Chengliang Wang. "A Self-organizing Wireless Sensor Networks Based on Quantum Ant Colony Evolutionary Algorithm." International Journal of Online Engineering (iJOE) 13, no. 07 (2017): 69. http://dx.doi.org/10.3991/ijoe.v13i07.7284.

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<p><span style="font-size: medium;"><span style="font-family: 宋体;">Aiming at the coverage problem of self-organizing wireless sensor networks, a target coverage method for wireless sensor networks based on Quantum Ant Colony Evolutionary Algorithm (QACEA) is put forward. This method introduces quantum state vector into the coding of ant colony algorithm, and realizes the dynamic adjustment of ant colony through quantum rotation port. The simulation results show that the quantum ant colony evolutionary algorithm proposed in this paper can effectively improve the target coverag

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He, Fangzhou. "Exploration of Multi-Node Collaborative Image Acquisition and Compression Techniques for Wireless Multimedia Sensor Networks." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 01 (2019): 196. http://dx.doi.org/10.3991/ijoe.v15i01.9787.

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<span lang="EN-US">Aiming at saving energy and maximizing the network life cycle, the multi-node cooperative image acquisition and compression technology in Wireless Multimedia Sensor Networks</span><span lang="EN-US">(</span><span lang="EN-US">WMSNs) is studied deeply. </span><span lang="EN-US">T</span><span lang="EN-US">he Minimum Energy Image Collection (MEIC) problem for multiple target domains in a certain period of time in the monitoring area is proposed, the integer linear programming for Minimum Energy Image Collection (MEIC) proble

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Shahbazian, Reza, and Seyed Ali Ghorashi. "Localization of Distributed Wireless Sensor Networks using Two Sage SDP Optimization." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 3 (2017): 1255. http://dx.doi.org/10.11591/ijece.v7i3.pp1255-1261.

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<span class="fontstyle0">A wireless sensor network (WSN) may comprise a large distributed set of low cost, low power sensing nodes. In many applications, the location of sensors is a necessity to evaluate the sensed data and it is not energy and cost efficient to equip all sensors with global positioning systems such as GPS. In this paper, we focus on the localization of sensors in a WSN by solving an optimization problem. In WSN localization, some sensors (called anchors) are aware of their location. Then, the distance measurements between sensors and anchors locations are used to local

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Radwan, Abdelrahman, Nasser Abdellatif, Eyad Radwan, and Maryam Akhozahieh. "Fitness function X-means for prolonging wireless sensor networks lifetime." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 1 (2023): 465. http://dx.doi.org/10.11591/ijece.v13i1.pp465-472.

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<span lang="EN-US">X-means and k-means are clustering algorithms proposed as a solution for prolonging wireless sensor networks (WSN) lifetime. In general, X-means overcomes k-means limitations such as predetermined number of clusters. The main concept of X-means is to create a network with basic clusters called parents and then generate (</span><em><span lang="EN-US">j</span></em><span lang="EN-US">) number of children clusters by parents splitting. X-means did not provide any criteria for splitting parent’s clusters, nor does it provide a method to d

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Larabi-Marie-Sainte, Souad, Sanaa Ghouzali, Tanzila Saba, Linah Aburahmah, and Rana Almohaini. "Improving spam email detection using deep recurrent neural network." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 3 (2022): 1625. http://dx.doi.org/10.11591/ijeecs.v25.i3.pp1625-1633.

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<span>Nowadays the entire world depends on emails as a communication tool. Spammers try to exploit various vulnerabilities to attack users with spam emails. While it is difficult to prevent spam email attacks, many research studies have been developed in the last decade in an attempt to detect spam emails. These studies were conducted using machine learning techniques and various types of neural networks. However, with all their attempts the highest accuracy acquired was 94.2% by random forest classifier. Deep learning techniques have demonstrated higher accuracy performance compared to

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Stubbings, Garrett, and Andrew Rutenberg. "Network topologies for maximal organismal health span and lifespan." Chaos: An Interdisciplinary Journal of Nonlinear Science 33, no. 2 (2023): 023124. http://dx.doi.org/10.1063/5.0105843.

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The population dynamics of human health and mortality can be jointly captured by complex network models using scale-free network topology. To validate and understand the choice of scale-free networks, we investigate which network topologies maximize either lifespan or health span. Using the Generic Network Model (GNM) of organismal aging, we find that both health span and lifespan are maximized with a “star” motif. Furthermore, these optimized topologies exhibit maximal lifespans that are not far above the maximal observed human lifespan. To approximate the complexity requirements of the under

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Kamble, Pradnya, and Alam N. Shaikh. "Modified-LSTM and feed forward neural network enabled resource allocation for 6G wireless networks." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 2 (2025): 811. http://dx.doi.org/10.11591/ijeecs.v37.i2.pp811-818.

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<span>The 6G wireless networks utilize terahertz (THz) frequency and intended to tremendously dynamic and diverse applications with deep learning enabled network, harvested significant attention and able to solve complex problems. Efficient resource allocation is a key requirement of next generation wireless networks. This research focuses on the resource allocation optimization challenge which includes storage, computing power, bandwidth and memory in the milieu of 6G wireless networks with device-to-device (D2D) communication enabled. The proposed model uses modified long short-term me

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Cabana, Katherine, John Candelo, Rafael Castillo, and Emiro De la Hoz Franco. "Voltage sensitivity analysis to determine the optimal integration of distributed generation in distribution systems." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 1 (2019): 55. http://dx.doi.org/10.11591/ijece.v9i1.pp55-65.

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<span>This paper presents a</span><span lang="EN-US"> voltage </span><span>sensitivity analysis </span><span lang="EN-US">with respect to the real power injected </span><span>with</span><span lang="EN-US"> renewable energies</span><span> to determine the optimal integration of distributed generation (DG) in distribution systems (DS).</span><span> <span lang="EN-US">The best nodes where the power injections improve voltages magnitudes complying with the constraints are determined.</span></sp

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Shneen, Salam Waley, Mohammed Qasim Sulttan, and Manal Kadhim Oudah. "Design and implementation of a stability control system for TCP/AQM network." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 1 (2021): 129. http://dx.doi.org/10.11591/ijeecs.v22.i1.pp129-136.

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<p><span>In this work, we used a new approach as active queue management (AQM) to avoid data congestion in TCP/IP networks. The new approach is PSO-PI controller which use the proportional-integral controller as a control unit and particle swarm optimization (PSO) algorithm as an optimization technique to improve the performance of the PI controller and therefore improving the performance of TCP/IP networks as a required goal. The optimization control (PSO-PI) is characterized by access to design and choosing the optimal parameters of </span>(K_1 and K_p) <span>to reach

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Han, Dan, and Lingmei Fu. "A Routing Algorithms for Resource Constrained Wireless Self-organized Networks." International Journal of Online Engineering (iJOE) 13, no. 11 (2017): 136. http://dx.doi.org/10.3991/ijoe.v13i11.7750.

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<p><span style="font-size: medium;"><span style="font-family: 宋体;">To explore the algorithms for wireless self-organized networks, through the NS-2 network simulation platform, the simulation analysis is made on the performances of multi hop data transmission of the existing four typical Ad hoc network routing protocols. And the energy saving strategy of Ad hoc network routing protocol SFR (Selection Forwarding Routing) based on network average node connection degree is discussed and analyzed, which is suitable for intensive Ad hoc network. The simulation data showed that, SF

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Shu, Xiaobin, Caihong Liu, Chunxia Jiao, Qin Wang, and Hongfeng Yin. "Design of Trusted Security Routing in Wireless Sensor Networks Based on Quantum Ant Colony Algorithm." International Journal of Online Engineering (iJOE) 13, no. 07 (2017): 4. http://dx.doi.org/10.3991/ijoe.v13i07.7273.

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<span style="font-family: 'Times New Roman',serif; font-size: 10.5pt; mso-ansi-language: EN-US; mso-fareast-font-family: 宋体; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">To d</span><span style="font-family: 'Times New Roman',serif; font-size: 10.5pt; mso-ansi-language: EN-US; mso-fareast-font-family: 宋体; mso-fareast-language: DE; mso-bidi-language: AR-SA;" lang="EN-US">esign an effective secure routing of trusted nodes in wireless sensor networks</span><span style="font-family: 'Times New Roman',serif; font-size: 10.5pt; mso-ansi-language: EN-

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Rouskas, A. N., M. G. Kazantzakis, and M. E. Anagnostou. "Minimization of frequency assignment span in cellular networks." IEEE Transactions on Vehicular Technology 48, no. 3 (1999): 873–82. http://dx.doi.org/10.1109/25.765004.

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Zhou, Ling, Marcel Held, and Urs Sennhauser. "Connection availability analysis of span-restorable mesh networks." Photonic Network Communications 14, no. 2 (2007): 135–48. http://dx.doi.org/10.1007/s11107-007-0062-5.

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Yang, Xiaoqing. "A Quality of Service Routing Algorithm in Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 13, no. 07 (2017): 47. http://dx.doi.org/10.3991/ijoe.v13i07.7280.

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<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-ansi-language: EN-US; mso-fareast-font-family: 宋体; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">An Quality of Service(QOS) secure routing algorithm based on ant colony optimization is put forward to solve a variety of security problems in wireless sensor networks. The algorithm combines the ant colony optimization algorithm with the cr</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-ansi-language: EN-US; mso-fareast-font-family: 'Times New Roman'; mso-far

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Deebalakshmi, R., and V. L. Jyothi. "Intelligent Packet Delivery in Router Using Structure Optimized Neural Network." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 2 (2018): 545. http://dx.doi.org/10.11591/ijeecs.v10.i2.pp545-553.

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The Internet itself is a worldwide network connecting millions of computers and less significant networks. Computers communicated by routers. Crucial the role of a router is to our technique of communicating and computing. Routers are situated at gateways, the spaces where two or more networks connect, and are the decisive device that keeps data flow between networks and keeps the networks connected to the Internet. When data is sent between places on one network or from one network to a second network the data is always seen and intended for to the proper place by the router. The router carri

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Cao, Luzhou. "Clustering Routing Protocol for Mobile Wireless Sensor Networks Based on Dynamic Network Partition." International Journal of Online Engineering (iJOE) 14, no. 11 (2018): 103. http://dx.doi.org/10.3991/ijoe.v14i11.9516.

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<p class="0abstract"><span lang="EN-US">To prolong the network life and improve the network performance, a new clustering routing protocol which uses dynamic network to divide and consider the residual energy of sensor nodes is proposed. The design and simulation of the clustering scheme for mobile wireless sensor networks are also studied. The results show that the protocol controls the number of cluster heads by region division of the network and balances its distribution in wireless sensor networks according to the latest location of the sink node. At the same time, the residual

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Azimi, S., E. Vig, F. Kurz, and P. Reinartz. "SEGMENT-AND-COUNT: VEHICLE COUNTING IN AERIAL IMAGERY USING ATROUS CONVOLUTIONAL NEURAL NETWORKS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (September 26, 2018): 19–23. http://dx.doi.org/10.5194/isprs-archives-xlii-1-19-2018.

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<p><strong>Abstract.</strong> High-resolution aerial imagery can provide detailed and in some cases even real-time information about traffic related objects. Vehicle localization and counting using aerial imagery play an important role in a broad range of applications. Recently, convolutional neural networks (CNNs) with atrous convolution layers have shown better performance for semantic segmentation compared to conventional convolutional aproaches. In this work, we propose a joint vehicle segmentation and counting method based on atrous convolutional layers. This method uses

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Cincar, Kristijan, Andrea Amalia Minda, and Marius Susa. "Performance Assessment of Neural Networks in Medical Treatment Cost Estimation." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 16, no. 1 Sup1 (2025): 87. https://doi.org/10.70594/brain/16.s1/8.

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<p dir="ltr"><span>This study explores the use of simulations to analyze the performance of predictive neural network models applied in healthcare, specifically in estimating medical treatment costs. The simulation uses synthetic data generated for 30 days, with variables such as treatment cost, disease severity, and patient waiting time. Three neural network models — Feedforward NN, LSTM NN, and 1D CNN — are employed for cost prediction, and their performance is evaluated using the Mean Absolute Error (MAE), Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) metrics. In a

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Wu, Jianwei, and Yisheng Miao. "Node Deployment in Farmland Wireless Sensor Networks based on Renewable Energy." International Journal of Online Engineering (iJOE) 12, no. 10 (2016): 62. http://dx.doi.org/10.3991/ijoe.v12i10.6210.

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<p><span style="font-size: small;"><span style="font-family: Times New Roman;">Wireless sensor network (WSN) plays an important role in the large scale farmland environmental monitoring. The complex farmland environment has a great impact on the WSN performance. Extremely low power consumption of WSN is required because of the long monitoring period and limited energy. In the considering of network coverage, connectivity, organization and power consumption, this paper proposes a new deployment strategy in the consideration of solar power nodes. A mixed deployment method combi

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Gaši, Nehad, Bakir Čičak, and Almira Salkić. "6G – NETWORK OF THE FUTURE." Nauka i tehnologija 11, no. 2 (2023): 148–56. http://dx.doi.org/10.58952/nit20231102148.

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&lt;p class=&quot;MsoNormal&quot; style=&quot;text-align: justify; line-height: 150%;&quot;&gt;&lt;span style=&quot;font-size: 12.0pt; line-height: 150%; font-family: 'Times New Roman',serif;&quot;&gt;6G stands for the sixth generation of mobile networks, which represents the future of wireless communication. While 5G networks are still being developed and expanded around the world, the industry is already thinking about the next generation to meet the needs of the accelerated digital transformation and the demands of modern society. 6G networks will be

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Gunawan, Rudiyanto, and Neda Bagheri. "Special Issue on “Biological Networks”." Processes 6, no. 12 (2018): 242. http://dx.doi.org/10.3390/pr6120242.

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Networks of coordinated interactions among biological entities govern a myriad of biological functions that span a wide range of both length and time scales—from ecosystems to individual cells, and from years (e.g., the life cycle of periodical cicadas) to milliseconds (e.g., allosteric enzymeregulation[...]

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Borvornvitchotikarn, Thuvanan, and Thongchai Yooyativong. "Combining convolutional neural networks and spatial-channel “squeeze and excitation” block for multiple-label image classification." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 1 (2024): 368. http://dx.doi.org/10.11591/ijai.v13.i1.pp368-374.

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<span lang="EN-US">In emergency rooms and intensive care units, catheters and tubes are used to keep critically ill patients alive. Appropriate catheter or tube insertion is crucial to avoiding serious complications. Such issues can be rectified if they are identified early. Chest X-rays are commonly used to assess catheter placement. Convolutional neural networks (</span><span lang="IN">CNN</span><span lang="EN-US">)</span><span lang="EN-US"> have recently been found to enhance multi-label classification tasks on chest X-rays images. Furthermore, atte

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Johnson, Gary W., Kenneth J. Bagstad, Robert R. Snapp, and Ferdinando Villa. "Service Path Attribution Networks (SPANs)." International Journal of Agricultural and Environmental Information Systems 3, no. 2 (2012): 54–71. http://dx.doi.org/10.4018/jaeis.2012070104.

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Ecosystem services are the effects on human well-being of the flow of benefits from ecosystems to people over given extents of space and time. The Service Path Attribution Network (SPAN) model provides a spatial framework for determining the topology and strength of these flows and identifies the human and ecological features which give rise to them. As an aid to decision-making, this approach discovers dependencies between provision and usage endpoints, spatial competition among users for scarce resources, and areas of highest likely impact on ecosystem service flows. Particularly novel is th

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