Research on the Model of High-Speed Railway Station Security Resource Scheduling Based on Dynamic Passenger Flow Prediction by Mengkun Li, Yitian Sun, Chunjie Xu, Chen’ao Du, Wei Shao

“…The MHALSTM component predicts passenger flow by capturing trends and patterns, while the MPC component formulates an optimization problem that minimizes waiting times and operational costs by repeatedly solving it within a finite time horizon based on predicted passenger flow. …”
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Analysis and Research on Intelligent Logistics Data under Internet of Things and Blockchain by Yige Li

“…In the comparative analysis of system transmission performance, the model exhibits outstanding results in transmission latency, consistently maintaining an average delay of approximately 350 ms. This stability is primarily attributed to the seamless integration of BC technology, which optimizes data packet transmission paths and mitigates waiting time. …”
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The electromagnetic transient simulation acceleration algorithm based on delay mitigation of dynamic critical paths by Qi Guo, Yuanhong Lu, Jie Zhang, Jingyue Zhang, Libin Huang, Haiping Guo, Tianyu Guo, Liang Tu

“…Abstract The task scheduling problem based on directed acyclic graphs (DAGs) has been proven to be NP-complete in general cases or under certain restrictions. …”
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Spatial–Spectral Feature Fusion and Spectral Reconstruction of Multispectral LiDAR Point Clouds by Attention Mechanism by Guoqing Zhou, Haoxin Qi, Shuo Shi, Sifu Bi, Xingtao Tang, Wei Gong

“…Existing spectral reconstruction methods often require empirical parameter settings and involve high computational costs, limiting automation and complicating application. To address this problem, we introduce the dual attention spectral optimization reconstruction network (DossaNet), leveraging an attention mechanism and spatial–spectral information. …”
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Synergistic effect of artificial intelligence and new real-time disassembly sensors: Overcoming limitations and expanding application scope by Bozhou Li, Dajiang Ju, Xingwang Li, Yan Liu, Hongru He, Hao Wang

“…The experimental results show that the optimized GRU model combined with the new real-time disassembly sensor achieved an average accuracy of 0.94 in generator fault prediction, with a cost loss rate of only 3.03%, a decrease of 5.91% compared to the single new real-time disassembly sensor. …”
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Improvement of Modified Rotor on Aerodynamic Performance of Hybrid Vertical Axis Wind Turbine by Shaohua Chen, Chenguang Song, Zhong Qian, Aihua Wu, Yixian Zhu, Jianping Xia, Jian Wang, Yuan Yang, Xiang Chen, Yongfei Yuan, Chao Chen, Yang Cao

“…The improved design increases the average torque coefficient by 7.4% and the peak power coefficient by 32.4%, which effectively solves the problem of power loss due to the negative torque of the inner rotor in the conventional hybrid turbine at high TSR; the spoiler improves the performance of the outer rotor in the wake region by optimizing the airflow distribution, reducing the counter-pressure differential, lowering the inner rotor drag and at the same time attenuating the wake turbulence intensity. …”
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Numerical Identification of Multiparameters in the Space Fractional Advection Dispersion Equation by Final Observations by Dali Zhang, Gongsheng Li, Guangsheng Chi, Xianzheng Jia, Huiling Li

“…The parameters to be identified are the fractional order, the diffusion coefficient, and the average velocity in the FADE. The forward problem is solved by a finite difference scheme, and then an optimal perturbation regularization algorithm is introduced to determine the three parameters simultaneously. …”
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Mechanism of joint physical layer and MAC layer for handling multi-TRP UL overlapping transmissions by JING Xiaorong, XIONG Jie, SUN Jian, CHEN Qianbin

“…Comparative simulations between the proposed mechanism and the processing mechanisms in existing protocols show that, in non-overlapping and overlapping logical slot scenarios, the actual number of the reused physical uplink control channel (PUCCH) performance has improved by an average of 57.58% and 49.40%, the actual available resource quantity performance of the physical uplink shared channel (PUSCH) has improved by an average of 12.09% and 26.03%, the actual occupied resource quantity of the highest priority logical channel has improved by an average of 33.33% and 45.48%.…”
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Performance Investigation of a Solar-Driven Closed-Wheel Desiccant Air-Conditioning System by Shi Quancheng, Zhao Yujiao, Chen Liu

“…A solar-driven closed-wheel desiccant air-conditioning system is proposed to efficiently recycle the sensible heat and latent heat of regenerative exhaust air to solve the problem of exhaust air energy waste in traditional open-wheel desiccant air-conditioning systems. …”
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Mechanism of joint physical layer and MAC layer for handling multi-TRP UL overlapping transmissions by JING Xiaorong, XIONG Jie, SUN Jian, CHEN Qianbin

“…Comparative simulations between the proposed mechanism and the processing mechanisms in existing protocols show that, in non-overlapping and overlapping logical slot scenarios, the actual number of the reused physical uplink control channel (PUCCH) performance has improved by an average of 57.58% and 49.40%, the actual available resource quantity performance of the physical uplink shared channel (PUSCH) has improved by an average of 12.09% and 26.03%, the actual occupied resource quantity of the highest priority logical channel has improved by an average of 33.33% and 45.48%.…”
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Building new model of intelligent mutual support for the elderly based on the decision support platform of the health management data center by Zewei Hu, Jinxian Wang, Haiwen Nie, Yicheng Liu, Xing Li

“…With the continuous growth of the elderly population, the pension problem is also increasingly serious. The existing pension model has such problems as small service scope, low service level, and few types of services, which is difficult to provide good pension services for the elderly. …”
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Cultivation agrotechnologies of winter wheat varieties developed by the North Caucasus FRAC by L. R. Oganyan, F. V. Eroshenko, V. I. Kovtun, I. G. Storchak

“…The application of mineral fertilizers contributed to productivity improvement of the varieties sown in weedfree fallow on 1.27 t/ha, and on 1.8 t/ha when sown after winter wheat on average during 2018–2021. The maximum grain yield was identified at the optimal sowing time in September 30 – October 5 (an average of 6.8 % more than at early and late time). …”
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Warehouse Network Design With Fortification Considerations: A Mixed-Integer Nonlinear Modeling Approach by Tareq Oshan

“…The model is formulated as a mixed-integer nonlinear problem and subsequently linearized using standard techniques combined with a proposed method based on average-probability approximation. …”
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Mitigating Urban Congestion: A Cooperative Reservation Framework for Automated Vehicles by David Yagüe-Cuevas, Pablo Marín-Plaza, María Paz-Sesmero Lorente, Stephen F. Smith, Araceli Sanchis, José María Armingol Moreno

“…Today’s urban environments are complex, highly congested traffic scenarios that suffer from multiple unsolved problems such as traffic jams and congestion. These problems pose a significant increase in the risks and probability of traffic accidents in modern cities, which have experienced an enormous growth in the number of vehicles. …”
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Evaluation Model of Low-Carbon Circular Economy Coupling Development in Forest Area Based on Radial Basis Neural Network by Chang Liu

“…After an in-depth analysis of the particle swarm algorithm, an improved particle swarm algorithm is proposed to improve the search accuracy and capability of the algorithm by nonlinearly adjusting the inertia weights and introducing the average extreme value factor, in response to the problems of premature convergence and poor search capability that appear in the particle swarm algorithm. …”
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Fracture identification and 3D reconstruction of coal-rock combinations based on VRA-UNet network by Dengke WANG, Longhang WANG, Yaguang QIN, Le WEI, Tanggen CAO, Wenrui LI, Lu LI, Xu CHEN, Yuling XIA

“…In the 3D reconstruction of coal-rock combinations fractures, in response to the problem that traditional threshold segmentation methods cannot accurately determine the threshold size between coal and rock, resulting in poor fracture segmentation performance, a new VRA-UNet coal-rock combinations fracture identification model based on deep learning theory is proposed, providing an optimized solution for accurate identification of coal-rock combinations fractures. …”
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Link-disjoint routing algorithm under multiple additive QoS constraints by XIONG Ke1, QIU Zheng-ding1, ZHANG Yu1, ZHANG Hong-ke3

“…The problem of finding link-disjoint paths under multiple additive QoS constraints was studied.Since the existing algorithms depended on network’s structure and could not guarantee to find feasible solutions for arbitrary net-works,a novel algorithm called multiple constrained link-disjoint path routing algorithm（MCLPRA） was proposed.MCLPRA was based on SAMCRA and didn’t rely on the network’s structure.By introducing the parameter to control its search depth,dividing the solution space into different classes and performing searching according to the classes respectively,MCLPRA was able to obtain the feasible solutions for arbitrary networks.Theoretic analysis shows that MCLPRA can get the feasible and optimal solutions when traditional schemes can not.Comprehensive simulations also show that MCLPRA has better performances than existing algorithms in terms of higher average successful rate of getting feasible solutions with shorter average total length of the obtained path pair.…”
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SEEI: spherical evolution with feedback mechanism for identifying epistatic interactions by De-yu Tang, Yi-jun Mao, Jie Zhao, Jin Yang, Shi-yin Li, Fu-xiang Ren, Junxi Zheng

“…Abstract Background Detecting epistatic interactions (EIs) involves the exploration of associations among single nucleotide polymorphisms (SNPs) and complex diseases, which is an important task in genome-wide association studies. The EI detection problem is dependent on epistasis models and corresponding optimization methods. …”
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KERF: a knowledge-enhanced relearning framework for tailings pond detection from high-resolution remote sensing images by Bingjie Liu, Wei Wu, Hao Wu, Ailong Ma, Shaohua Hu, Nianchun Du, Xuan Cui, Junyang Xie

“…This framework comprises a multi-stage positioning optimization module and an adaptive knowledge-supported relearning module for recognition refinement. …”
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Adaptive bandwidth allocation algorithm based on the multi-threshold reservation mechanism by Geng CHEN, Wei-wei XIA, Lian-feng SHEN

“…An adaptive bandwidth allocation algorithm based on multi-threshold reservation mechanism is proposed to guarantee the quality of service (QoS) of multi-services in heterogeneous wireless networks.With the bandwidth reserva-tion mechanism by setting multi-threshold in each network for every traffic,the adaptive bandwidth allocation scheme according to the transmission rate levels requirements for traffic k and the network status can be formulated as an optimal problem with the constraints of the bandwidth allocation matrix for each traffic and all users based on the multi-homing technology.A procedure of the iterative method is presented to solve the optimal problem of the formulated adaptive bandwidth allocation scheme.The optimized bandwidth allocation matrixes for traffics and for all users are obtained for the real-time network throughput maximization under bandwidth reserving thresholds and network capacity constrains and the bandwidth resource utilization efficiency of heterogeneous wireless network can be increased.Numerical simula-tion results show that the proposed algorithm can support QoS requiring transmission rate grades,decrease the new call blocking probability,increase the average user access rate and improve the network throughput of the heterogeneous wireless network by 40% to the largest extent.…”
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