Performance Assessment of a Triangular Integrated Collector Using Neural Networks by Raid W. Daoud, Omer K. Ahmed, Ruaa H. Ali Al-Mallah

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A novel cluster of improved frilled lizard optimization and multi-ladder gated networks for the detection of cyber-attacks in computer networks by Vandana Dharmapuri, Sushama Rani Dutta

“…Motivated by this challenge, this paper introduces the novel combination of multi-ladder gated network units (ML-GNU) and the Improved Frilled Lizard Optimization (IFLO) model to recognize distinct types of multiple cyber-threats. …”
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Gearbox fault diagnosis method based on optimized VMD-NLM with 1DDRSN by WAN Zhiguo, ZHAO Wei, WANG Zhiguo, DOU Yihua

“…ObjectiveAiming at the problem of poor accuracy of gearbox fault diagnosis under noise interference, a new fault diagnosis method for gearboxes based on the denoising methods of optimized variational modal decomposition (VMD）and non-local means (NLM) was constructed, combined with a one-dimensional deep residual shrinkage network (1DDRSN).MethodsFirstly, the parameters in the VMD were automatically optimized using the subtractive average-based optimization (SABO); secondly, each intrinsic mode function (IMF） after the decomposition of the VMD was filtered using sample entropy, and the noise-containing components were subjected to the NLM denoising and reconstruction; then, a residual network that combines the attention mechanism with soft thresholding was introduced to model 1DDRSN; finally, the denoised and reconstructed signals were inputted into the 1DDRSN for fault diagnosis and identification. …”
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Efficient node deployment for enhancing coverage and connectivity in Wireless Sensor Networks by Rahul Priyadarshi

“…Abstract Efficient deployment of Wireless Sensor Networks (WSNs) is critical to ensuring optimal performance across key metrics such as coverage, connectivity, energy efficiency, and network longevity. …”
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Cluster-based resource allocation mechanism for Femtocell network by Hai-bo ZHANG, Jian ZOU, Kai-jian LIU, Shan-xue CHEN

“…A based-cluster resource allocation mechanism was proposed for suppressing interference between Femtocell and Macrocell in Macro-Femto network.The mechanism included three parts,FBS was put in disjoint clusters by graph theory and convex optimization,then a sub-channel allocation algorithm was adopted to assign sub-channel to the FUE and MUE based on fairness of rate.In the end,power allocation was performed by using distributed algorithm.Simulation results show that the proposed mechanism effectively suppresses cross-tier and co-tier interference in the Macro-Femto network,improves the average rate,meanwhile satisfies the requirements of fairness of rate,which makes users more satisfied.…”
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Cluster-based resource allocation mechanism for Femtocell network by Hai-bo ZHANG, Jian ZOU, Kai-jian LIU, Shan-xue CHEN

“…A based-cluster resource allocation mechanism was proposed for suppressing interference between Femtocell and Macrocell in Macro-Femto network.The mechanism included three parts,FBS was put in disjoint clusters by graph theory and convex optimization,then a sub-channel allocation algorithm was adopted to assign sub-channel to the FUE and MUE based on fairness of rate.In the end,power allocation was performed by using distributed algorithm.Simulation results show that the proposed mechanism effectively suppresses cross-tier and co-tier interference in the Macro-Femto network,improves the average rate,meanwhile satisfies the requirements of fairness of rate,which makes users more satisfied.…”
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PERFORMANCE REQUIRED FOR COMMON-USE COMPONENTS OF COMPUTER NETWORKS by BOLUN, Ion

“…Based on Jackson’s partitioning theorem and considering the linear dependence of the costs of channels, routers, and servers on their performance, a simplified analytical model for these components of the network is defined. Using this model, two optimization problems are formulated: minimizing the average response time to user requests of data processing and minimizing the summary cost of servers, channels and routers of the computer network. …”
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CycRank: a universal optimization framework for vital nodes identification in complex networks by Wenfeng Shi, Tianlong Fan, Shuqi Xu, Rongmei Yang, Linyuan Lü

“…Identifying influential nodes to maximize the spread of information within networks is a vital combinatorial optimization problem with extensive practical applications. …”
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Optimization of resource allocations in 5G mobile network using Active Reward Learning by Taghi Shahgholi, Keyhan Khamforoosh, Amir Sheikhahmadi, Sadoon Azizi

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Optimal Design for One-Dimensional ALOHA Ad Hoc Networks Based on Stochastic Geometry by Seunghee Lee, Ganguk Hwang

“…To mathematically model the random locations of nodes and the interference in the ad hoc network, we use stochastic geometry theory. With the help of stochastic geometry theory, we model the ad hoc network, derive an analytic form of the performance metric, and finally obtain the optimal access probability that maximizes the performance metric. …”
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Comprehensive Outlier Detection in Wireless Sensor Network with Fast Optimization Algorithm of Classification Model by Haiqing Yao, Heng Cao, Jin Li

“…To reduce the complexity of optimization algorithm for QSSVM model in existing techniques, a fast optimization algorithm based on average Euclidean distance has been developed and employed to the comprehensive outlier detection method. …”
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Educational Behaviour Analysis Using Convolutional Neural Network and Particle Swarm Optimization Algorithm by Zhenjiang Dong

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Improved Data Transmission Scheme of Network Coding Based on Access Point Optimization in VANET by Zhe Yang, Lingzhi Li, Wenqiang Yao, Kaisheng Xu, Dongxin Tang

“…The simulation results show the optimization model greatly affects the VANET transmission performances based on network coding, and it can enhance the delivery rate by 25% and 14% and reduce the average delay of transmission by 38% and 33%.…”
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Enhanced Camera Relocalization Through Optimized Accelerated Coordinate Encoding Network and Pose Solver by Xinbo Chai, Zhen Yang, Xinrong Tan, Mengyang Zhu, Changbin Zhong, Jianping Shi

“…Here, we show that the average localization errors were reduced by up to 30% and the computational times were cut by approximately 10% compared to the original ACE network, demonstrating the practicality and robustness of our approach.…”
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Electrothermal co-optimization of 2.5D power distribution network with TTSV cooling by Yang Wang, Changle Zhi, Gang Dong, Daihang Liu, Deguang Yang, Zhangming Zhu

“…This paper proposes an electrothermal co-optimization design methodology for a 2.5D power distribution network with thermal through silicon via (TTSV) cooling. …”
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Resilience-Based Restoration Sequence Optimization for Metro Networks: A Case Study in China by Jiefei Zhang, Gang Ren, Jianhua Song

“…Taking both budget limitations and repair time uncertainty into account, this paper proposes a resilience-based optimization model for choosing an optimal restoration sequence scheme, maximizing the global average efficiency, under the condition that the network accessibility meets given resilience requirements. …”
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“Optimizing sEMG Gesture Recognition with Stacked Autoencoder Neural Network for Bionic Hand” by Mr. Amol Pandurang Yadav, Dr. Sandip.R. Patil

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Application of BITCN-BIGRU Neural Network Based on ICPO Optimization in Pit Deformation Prediction by Yong Liu, Cheng Liu, Xianguo Tuo, Xiang He

“…To enhance the prediction of pit deformation and improve accuracy and precision, an Improved Crown Porcupine Optimization Algorithm (ICPO) based on a Bidirectional Time Convolution Network–Bidirectional Gated Recirculation Unit (BITCN-BIGRU) is developed. …”
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Reactive Power Optimization of a Distribution Network Based on Graph Security Reinforcement Learning by Xu Zhang, Xiaolin Gui, Pei Sun, Xing Li, Yuan Zhang, Xiaoyu Wang, Chaoliang Dang, Xinghua Liu

“…Finally, a dual-critic framework is adopted to train the actor network and derive an optimal policy. Experiments conducted on real load profiles demonstrated that the proposed method reduced the voltage violation rate to 0%, compared to 4.92% with the Deep Deterministic Policy Gradient (DDPG) algorithm and 5.14% with the Twin Delayed DDPG (TD3) algorithm. …”
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Research on the connectivity reliability analysis and optimization of natural gas pipeline network based on topology by Xiuxuan Yang, Kun Chen, Minghui Liu

“…Abstract The rapid expansion of natural gas pipeline networks in China necessitates robust reliability assessment and optimization frameworks, particularly for large-scale looped configurations where traditional tree-based models fall short. …”
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