Defending against Online Social Network Rumors through Optimal Control Approach by Da-Wen Huang, Lu-Xing Yang, Xiaofan Yang, Yuan Yan Tang, Jichao Bi

“…This paper is devoted to the design of a cost-effective rumor-containing scheme in online social networks through an optimal control approach. First, a new individual-based rumor spreading model is proposed, and the model considers the influence of the external environment on rumor spreading for the first time. …”
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Markov Model-Based Energy Efficiency Spectrum Sensing in Cognitive Radio Sensor Networks by Yan Jiao, Inwhee Joe

“…Cognitive Radio Sensor Network (CRSN), incorporating cognitive radio capability in wireless sensor networks, is a new paradigm of the next-generation sensor network. …”
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Cluster Optimization in Mobile Ad Hoc Networks Based on Memetic Algorithm: memeHoc by Masood Ahmad, Abdul Hameed, Fasee Ullah, Atif Khan, Hashem Alyami, M. Irfan Uddin, Abdullah ALharbi

“…High-quality individuals are selected for the new population in the next generation. New individuals are generated using the crossover mechanism on the chromosome once the two parents have been selected. …”
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Operational Identification of Resistances of Wires of 380 V Distribution Networks by Automated Accounting Systems by M. I. Danilov, I. G. Romanenko

“…Considering that the active resistances of the wires must remain unchanged, the mode that is used for calculations is the one that is before the change in power consumption in the network and the next one immediately (about 0.1 s) after it. …”
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Indoor Deterministic Simulations and Statistical Modeling at Sub-THz Frequencies for Future Wireless Networks by Nektarios Moraitis, Konstantina S. Nikita

“…Next generation wireless networks will necessitate new and wide spectrum swaths able to accommodate and support Tb/s applications and services. …”
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Network intrusion detection method based on VAE-CWGAN and fusion of statistical importance of feature by Taotao LIU, Yu FU, Kun WANG, Xueyuan DUAN

“…Considering the problems of traditional intrusion detection methods limited by the class imbalance of datasets and the poor representation of selected features, a detection method based on VAE-CWGAN and fusion of statistical importance of features was proposed.Firstly, data preprocessing was conducted to enhance data quality.Secondly, a VAE-CWGAN model was constructed to generate new samples, addressing the problem of imbalanced datasets, ensuring that the classification model no longer biased towards the majority class.Next, standard deviation, difference of median and mean were used to rank the features and fusion their statistical importance for feature selection, aiming to obtain more representative features, which made the model can better learn data information.Finally, the mixed data set after feature selection was classified through a one-dimensional convolutional neural network.Experimental results show that the proposed method demonstrates good performance advantages on three datasets, namely NSL-KDD, UNSW-NB15, and CIC-IDS-2017.The accuracy rates are 98.95%, 96.24%, and 99.92%, respectively, effectively improving the performance of intrusion detection.…”
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ResNet15: Weather Recognition on Traffic Road with Deep Convolutional Neural Network by Jingming Xia, Dawei Xuan, Ling Tan, Luping Xing

“…A new simplified model named ResNet15 is proposed based on the residual network ResNet50 in this paper. …”
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6G-ADM: knowledge based 6G network management and control architecture by Jianxin LIAO, Xiaoyuan FU, Qi QI, Jingyu WANG, Haifeng SUN

“…Finally, there is only one layer of knowledge space above the next generation network implementation infrastructure. …”
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SliceScore: A Network Function Sharing Aware and Slice-Oriented DDoS Filtering Approach by Omer Zekvan Yilmaz, Kubra Kalkan, Fatih Alagoz

“…Network slicing presents new opportunities for cost-effective implementations of next-generation communication networks that target diverse service requirements. …”
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Revolutionizing load harmony in edge computing networks with probabilistic cellular automata and Markov decision processes by Dinesh Sahu, Nidhi, Rajnish Chaturvedi, Shiv Prakash, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang, Sabeen Tahir, Sheikh Tahir Bakhsh

“…To solve the problem of how to achieve steady-state load balance and provide dynamic adaption to edge networks, this paper proposes a new framework that using PCA and MDP. …”
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Popcorn Effect–inspired Self‐propagating Formation of High‐conductivity Cement Composite for Multifunctional Applications by Haiping Wu, Jiaqi Huang, Zhengyao Qu, Xueling Zheng, Sirui Tan, Wei Du, Guanming Cai, Zhong Zhao, Jing Wu, Daiqi Li

“…Inspired by the popcorn effect, this method leverages the rapid expansion of graphite at high temperatures, promoting contact between conductive fillers and forming new conductive networks. The obtained composites demonstrate a remarkable reduction of 60% in electrical resistance after heat treatment compared to the electrical resistance of standard cement composites, and the enhancing mechanisms is explored. …”
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Construction of Regional Logistics Weighted Network Model and Its Robust optimization: Evidence from China by Lizhao Yan, Yi Wen, Kok Lay Teo, Jian Liu, Fei Xu

“…This clearly provides a new perspective for the study of the regional logistics networks.…”
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Randomized geographic-based routing with nearly guaranteed delivery for three-dimensional ad hoc network by Alaa E. Abdallah, Emad E. Abdallah, Mohammad Bsoul, Ahmed Fawzi Otoom

“…The first algorithm 3DRanDom chooses the next neighbor randomly from a dominating set of the network (extracted locally). …”
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Autonomous Real-Time Smoothness Control for Reliable DDQN-Based UAV Navigation Using Cellular Networks by Ghada Afifi, Yasser Gadallah

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Energy saving proactive neighbor discovery algorithm in mobile low-duty-cycle wireless sensor network by Junbin LIANG, Xiang ZHOU, Taoshen LI

“…Mobile low-duty-cycle wireless sensor network is a new kind of wireless multi-hop network,which is self-organized by a large number of nodes that have mobile ability and are able to get into sleep for a long time.Such networks have wide application prospects in national defense,industry,agriculture and other fields that need long term monitoring in severe environments.However,the movement and the sleeping features of nodes lead to constantly change of network topology,which makes the nodes difficult to discover their neighbors quickly.Therefore,the nodes cannot achieve optimal distribution decisions.In order to solve this problem,a new proactive neighbor discovery algorithm was proposed.This algorithm made the nodes in the network take the initiative to find their neighbors when they woke up,and avoided the delay caused by long time waiting in the traditional passive neighbor discovery.In addition,by predicting the movement speed and distance of neighbors,the neighbor set at the next moment can be quickly determined,which can further reduce the delay and obtain more accurate neighbor discovery results.Theoretical analysis and experimental results show that compared with the existing algorithms,the algorithm can find all the neighbors in MLDC-WSN with less energy consumption and lower delay.…”
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Layered bandwidth allocation algorithm for multi-service in orthogonal frequency division multiplexing passive optical network by Yejun LIU, Yuying LIU, Pengchao HAN, Jidong WANG, Lei GUO

“…Due to the superiority in large bandwidth capacity and flexible resource allocation,orthogonal frequency division multiplexing passive optical network (OFDM-PON) has been recognized as one of the promising candidates for the next generation PON.There are many research works on the system architecture design of OFDM-PON.However,most of these works focused on the techniques of physical structure and signal transmission and less addressed the bandwidth allocation algorithms supporting the new types of system architecture.The bandwidth allocation in OFDM-PON,which is one of the key techniques to enable the access of multi-service,refers to the joint optimization of multi-dimensional resources in time domain,frequency domain and bits.A layered bandwidth allocation algorithm was proposed for multi-service in the enhanced system architecture of OFDM-PON,aiming at the efficient bandwidth resource utilization.Simulation results prove that the proposed bandwidth allocation algorithm outperforms the conventional algorithms without layered transmission significantly in terms of resource utilization and packet delay.…”
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Algorithm study of digital HPA predistortion using one novel memory type BP neural network by Chun-hui HUANG, Yong-jie WEN

“…Based on the characteristic analysis of the high power amplifier (HPA) in wide-band CMMB repeater stations,a novel neural network was proposed which can respectively process the memory effect and the nonlinear of power amplifier.The novel model based on real-valued time-delay neural networks(RVTDNN) uses the Levenberg-Marquardt (LM) optimization to iteratively update the coefficients of the neural network.Due to the new parameters w⁰in the novel NN model,the modified formulas of LM algorithm were provided.Next，in order to eliminate the over-fitting of LM algorithm,the Bayesian regularization algorithm was applied to the predistortion system.Additionally,the predistorter of CMMB repeater stations based on the indirect learning method was constructed to simulate the nonlinearity and memory effect of HPA.Simulation results show that both the NN models can improve system performance and reduce ACEPR (adjacent channel error power ratio ) by about 30 dB.Moreover,with the mean square error less than 10⁻⁶,the coefficient of network for FIR-NLNNN is about half of that for RVTDNN.Similarly,the times of multiplication and addition in the iterative process of FIR-NLNNN are about 25% of that for RVTDNN.…”
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Offloading strategy with edge optimization of time delay and energy consumption in integrated satellite-terrestrial relay network by Meinan ZHANG, Mingqi ZHANG, Fei DING, Hengheng ZHUANG, Hairong MA

“…The integrated satellite-terrestrial relay network (ISTRN) is a necessary part of the next-generation wireless communication system, and has important practical significance for accelerating the construction of my country's air-space-terrestrial integrated network system.In the traditional ISTRN architecture, a large amount of signaling needs to be forwarded to the ground control center for processing, which increases the delay of network control and management.A new cloud fog computing architecture was proposed, which constructs a sub-regional edge fog computing layer between the ground access and the central cloud to improve the flexibility of business flow management and control.Under the cloud network framework, a Q-learning based edge computing offloading strategy was designed, and the offloading performance was evaluated by time delay and energy consumption.Simulation results show that, compared with Min-min algorithm and backtracking algorithm, Q-learning based computational offload algorithm has better performance in terms of time delay and energy consumption, and can achieve a balance between the joint optimization of time delay and energy consumption.…”
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A New Model for Locating Plate Recognition Devices to Minimize the Impact of the Uncertain Knowledge of the Routes on Traffic Estimation Results by Santos Sánchez-Cambronero, Fernando Álvarez-Bazo, Ana Rivas, Inmaculada Gallego

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Evaluating sowing uniformity in hybrid rice using image processing and the OEW-YOLOv8n network by Zehua Li, Zehua Li, Yihui Pan, Xu Ma, Yongjun Lin, Xicheng Wang, Hongwei Li

“…Compared to the advanced object detection algorithms such as Faster-RCNN, SSD, YOLOv4, YOLOv5s YOLOv7-tiny, and YOLOv10s, the mAP of the new network increased by 5.2%, 7.8%, 4.9%, 2.8% 2.9%, and 3.3%, respectively. …”
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