Construction and Simulation of a Strategic HR Decision Model Based on Recurrent Neural Network by Xiaorong Li, Lijun Zhang, Dongchen Li, Dan Guo

“…In this paper, RNN (Recurrent Neural Network) algorithm is used to conduct an in-depth analysis of HR strategic decision-making and an HR strategic decision model is constructed for simulation. …”
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Comparing the efficacy of physical therapy interventions in Alzheimer’s disease: a network meta-analysis by Jiawen Wu, Yunfei Teng, Yaming Xie, Shuangtao Xing, Songsong Zhi

“…Given the multifactorial nature of AD, effective therapeutic interventions targeting both cognitive and functional decline are critical. This study aimed to conduct a comprehensive comparison of the therapeutic effects of music therapy, acupuncture therapy, game therapy, cognitive training therapy, and exercise therapy on AD patients through a network meta-analysis. …”
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A Lightweight Network for UAV Multi-Scale Feature Fusion-Based Object Detection by Sheng Deng, Yaping Wan

“…Furthermore, the Focal-EIoU loss function supersedes the traditional CIoU loss function to address challenges related to the regression of small targets. …”
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In-band network telemetry system based on high-performance packet processing architecture VPP by Tian PAN, Xingchen LIN, Jiao ZHANG, Tao HUANG, Yunjie LIU

“…An in-band network telemetry-based system was built based on VPP, a high-performance virtual network forwarding architecture/device, via reorganizing the data plane pipeline processing modules.Moreover, a network-wide telemetry mechanism was further developed via embedding source routing into the probe packet header for specifying the route of probe packets.Finally, a virtual network topology was built with performance evaluation conducted.The evaluation shows that the telemetry system can monitor the network in a high precision of every 0.13 ms, detecting link congestion in real time with minor performance overhead.Given virtual network devices have been widely deployed in data centers, the proposed scheme is expected to improve the reliability of multi-tenancy and network function virtualization in data centers via high-precision, network-wide virtual link telemetry coverage.…”
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Convolutional neural network based on transfer learning for discriminating the fermentation degree of black tea by Xuesong Zhu, Zezhong Ding, Mei Wang, Shanjian Liu, Yulong Chen, Chunwang Dong

“…Next, we modified the loss function with PolyLoss and optimizer with AdamW for the student model. …”
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Learning the non-proportional multiaxial elastic–plastic response of an aluminium alloy with neural networks by Burcu Tasdemir, Antonio Pellegrino, Xinyu Su, Vito L. Tagarielli

“…A surrogate model in strain control, based on feed-forward neural networks, is implemented; this comprises a classification network, which distinguishes elastic from elastic-plastic increments, and a regression network to compute the increment in stress as a function of the increment in total strain. …”
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Construction and Overall Protection of Ecological and Marine Cultural Composite Landscape Network in Quanzhou, Fujian by Dongfang LU, Yaru ZHENG, Tianteng HAN, Shunhe CHEN

“…Functional evaluations and hierarchical optimizations of the composite landscape network are conducted.ed on the evaluation results of the gravity model, these corridors are classified into first-class, second-class, and third-class corridors, forming the spatial pattern of the Quanzhou ecological network.ResultsThe MCR model identifies 136 potential ecological corridors, totaling 4381.139 km. …”
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SSA-GAN: Singular Spectrum Analysis-Enhanced Generative Adversarial Network for Multispectral Pansharpening by Lanfa Liu, Jinian Zhang, Baitao Zhou, Peilun Lyu, Zhanchuan Cai

“…Additionally, we introduce Pareto optimization to the nonreference loss function to improve the overall performance. We conducted comparative experiments on two representative datasets, QuickBird and Gaofen-2 (GF-2). …”
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Inventory control strategy based on neural network and fuzzy algorithm in intelligent warehousing system by Chunmei Xie, Cong Xie

“…Abstract To cope with the inventory control problem of an intelligent warehousing system, this paper proposes a neuro-fuzzy dynamic inventory regulation model (NFDIRM), which integrates radial basis function neural network (RBFNN) and fuzzy logic algorithm, aiming to solve the problems of poor prediction accuracy and poor decision flexibility of traditional models. …”
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Social Network Analysis of Ancient Japanese Obsidian Artifacts Reflecting Sampling Bias Reduction by Sakahira, Fumihiro, Tsumura, Hiroomi

“…To improve regional representation and reduce the distortions caused by small sample sizes, we performed clustering based on a large-scale dataset and conducted social network analysis. The research results revealed that the trade networks during the Jomon period were not constant; they expanded throughout the southern Kanto region during the Middle Jomon period (5,500–4,500 years cal BP) and ceased to function during the Late Jomon period (4,500–3,200 years cal BP). …”
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Weighted Contrastive Prototype Network for Few-Shot Hyperspectral Image Classification with Noisy Labels by Dan Zhang, Yiyuan Ren, Chun Liu, Zhigang Han, Jiayao Wang

“…Then the weighted prototype network will minimize the distance between features and prototypes to train the network. …”
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Deep reinforcement learning-based routing framework for bidirectional communication in UAV-UGV networks by Prabhakar Saxena, Gayatri M. Phade

“…Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) performs crucial function in many applications like military operations, disaster management, hazardous operations and surveillance. …”
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Intermittent Short Circuit Fault Location for CAN Based on Two-Port Network Modeling by Longkai Wang, Yi Yang, Yong Lei

“…A testbed is constructed, and case studies are conducted to demonstrate that the proposed method can correctly locate the ISC faults in various network topological layouts.…”
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SGI-YOLOv9: an effective method for crucial components detection in the power distribution network by Mianfang Yang, Bojian Chen, Chenxiang Lin, Wenxu Yao, Yangdi Li

“…The detection of crucial components in the power distribution network is of great significance for ensuring the safe operation of the power grid. …”
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A Cooperative Generation Expansion Planning of Microgrids to Improve the Resiliency of Active Distribution Networks by Mohammad Hossein Atazadegan, Esmaeel Rokrok, Meysam Doostizadeh

“…Also, due to the importance of environmental issues, the problem has been solved again by considering the objective function of environmental pollutions. In this case, the multi objective optimization problem, including the objective functions of total cost and environmental pollution, has been solved using fuzzy decision-making and multi-objective improved golden ratio optimization algorithm based on the Pareto front.…”
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Discrete Dynamic Berth Allocation Optimization in Container Terminal Based on Deep Q-Network by Peng Wang, Jie Li, Xiaohua Cao

“…This study addresses the discrete dynamic berth allocation problem (DDBAP) under uncertain ship arrival times and varying load capacities. A novel deep Q-network (DQN)-based model is proposed, leveraging a custom state space, rule-based actions, and an optimized reward function to dynamically allocate berths and schedule vessel arrivals. …”
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A Rotation Target Detection Network Based on Multi-Kernel Interaction and Hierarchical Expansion by Qi Wang, Guanghu Xu, Donglin Jing

“…To address this issue, this paper proposes a Rotation Target Detection Network based on Multi-kernel Interaction and Hierarchical Expansion (MIHE-Net) as a systematic solution. …”
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The impact of brain network microstructural changes on upper limb mirror movements after stroke by Jie Dai, Zhaoqing Li, Jingyan Tao, Shuping Sun, Jianhua Li

“…ObjectiveThis study aimed to investigate the relationship between brain network microstructural changes and surface electromyographic (sEMG) signs of upper limb mirror movements (MMs) in stroke patients, focusing on the corpus callosum and bilateral corticospinal tracts (CSTs).MethodA retrospective analysis was conducted on 48 stroke patients (mean age 60.63y, range 15-83y) who underwent sEMG and diffusion tensor imaging (DTI). …”
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Wireless Sensor Network Optimization for Constrained Environments With Limited a Priori Target Information by Joseph Mockler, Sarah Wielgosz, Huan Xu

“…In target localization problems, positioning between sensor networks and targets plays a critical role in localization estimation. …”
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Economic Optimal Dispatch of Distribution Networks Considering the Stochastic Correlation of Wind and Solar Energy by Haiya Qian, Shuntao Qi, Min Xu, Feng Li

“…Additionally, energy storage devices are integrated into the system to smooth power fluctuations, thereby constructing an economically optimized scheduling model for wind–solar–storage distribution networks based on stochastic correlations. Finally, testing is conducted using an improved IEEE-33 node system. …”
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