Graph-based reinforcement learning for software-defined networking traffic engineering by Jingwen Lu, Chaowei Tang, Wenyu Ma, Wenjuan Xing

“…This paper proposes GRL-TE (Graph-based Reinforcement Learning for Traffic Engineering), a novel framework that achieves near-optimal performance while maintaining computational efficiency across diverse network scales. GRL-TE introduces three key innovations: (1) TopoFlowNet, a graph neural network architecture that models WANs as bipartite graphs with edge nodes representing physical links and path nodes representing candidate paths, enabling efficient bidirectional information propagation through GINConv layers while MLP modules handle collaborative relationships among paths serving the same demand; (2) A one-step A2C mechanism specifically designed for TE with immediate reward structure, eliminating the need for future state estimation and significantly simplifying training; (3) Integration of ADMM as a post-processing step to iteratively reduce constraint violations while improving solution quality. …”
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Improving DNA recovery and sample throughput using the PrepFiler™ Automated Forensic DNA Extraction Kit on two customised Tecan Fluent® 1080 Automated Workstations by Nicholas J. O’Rourke, Nicholas S. Steele, Jasmine W. Tay, Colby M. Hymus, Nicholas S. Mountford, Tania M. Neave, Marie S. Rye

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A mobile sink–integrated framework for the collection of farmland wireless sensor network information based on a virtual potential field by Ying Yang, Wude Yang, Huarui Wu, Yisheng Miao

“…The stronger the virtual field, the more attractive it will be to mobile sink, which consequently affects the mobile path of sink node. Rendezvous points are selected in accordance with the maximum-farthest criterion, and the shortest path connecting all rendezvous points is taken as the mobile path of sink. …”
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Impact of Controller Performance on the Process of Guiding an Armour-Piercing Missile onto a Ground-Based Target by Łukasz NOCOŃ, Konrad STEFAŃSKI

“…The concept presented here is the feasibility of bypassing obstacles in the path of an ATGM when the obstacle coordinates are known prior to firing the ATGM weapon. …”
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Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

“…Additionally, the simulation results show that the slime mold agent model can rapidly generate foraging networks in complex environments due to its efficient organization and structural resilience, as well as optimize path selection according to behavioral objectives.ConclusionABM analysis, supported by advanced algorithms, considers the basic spatial information of the site and simulates individual behavior patterns using distributed computation rules, thereby providing a new paradigm for landscape design thinking. …”
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A 1.2-V, 106.4-dB DR Discrete-Time Sigma-Delta Modulator With Feedback Adaptive Cascaded Integrator for Sensor Applications by Ghayur Hussain, Nguyen van Quang, Muhammad Basim, Chang Hyeon Kim, Nabeel Ahmad, Sung June Byun, Kang-Yoon Lee

“…They enhance signal integrity, eliminate the need for high-gain amplifiers, and provide optimal loop gain, enabling an efficient modulator design. A highly efficient switched-capacitor feedback DAC enhances the loop filter’s input path. …”
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MM-3D Unet: development of a lightweight breast cancer tumor segmentation network utilizing multi-task and depthwise separable convolution by Xian Wang, Wenzhi Zeng, Junzeng Xu, Senhao Zhang, Yuexing Gu, Benhui Li, Xueyang Wang

“…Background and objectivesThis paper introduces a novel lightweight MM-3DUNet (Multi-task Mobile 3D UNet) network designed for efficient and accurate segmentation of breast cancer tumors masses from MRI images, which leverages depth-wise separable convolutions, channel expansion units, and auxiliary classification tasks to enhance feature representation and computational efficiency.MethodsWe propose a 3D depth-wise separable convolution, and construct channel expansional convolution (CEC) unit and inverted residual block (IRB) to reduce the parameter count and computational load, making the network more suitable for use in resource-constrained environments. …”
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Study on scientific productivity determination and scientific productivity improvement of rock burst mine by Feng CUI, Zhong LUO, Xingping LAI, Jianqiang CHEN, Baoshan PENG, Lei ZOU, Xudong LIU

“…This paper puts forward the technical path to determine the productivity of rock burst mine, and based on mining dynamics, constructs a method to determine the advancing speed of coal face in rock burst mine by stages, regions, periods, unloading pressure and historical prevention and control level. …”
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Multi-strategy cooperative enhancement dung beetle optimizer and its application in obstacle avoidance navigation by Xiaojie Tang, Zhengyang He, Chengfen Jia

“…Abstract Path planning is a crucial component of unmanned driving systems designed to address the challenge of autonomous navigation. …”
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Design of Adaptive PID Controller for Lower Limb Rehabilitation Robot Based on Particle Swarm Optimization Algorithm. by Noor Sabah, Ekhlas Hameed, Muayed S AL-Huseiny

“…The simulation results show no overshoot and zero steady-state error, but large settling time (ts=3.654 sec. for link1 and ts=2.844 sec. for link2) for linear path, and the actual path tracks the desired path with a large error for the nonlinear path. …”
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Obstacle Avoidance Planning of Manipulator Joints Based on an Improved Artificial Potential Field Method by Yue Xu, Zhou Haibo, Shao Yanpeng, Lu Shuai, Xu Wangbei, Deng Yuxin

“…Adaptive variable-step path planning can generate smooth trajectories and improve the search efficiency. …”
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Optimizing Distribution Costs Using Linear Programming in Refinery Sugar Manufacturer by Hendy T annady, Michael A. Aloria

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Task Allocation and Saturation Attack Approach for Unmanned Underwater Vehicles by Qiangqiang Chen, Baisheng Liu, Changdong Yu, Mingkai Yang, Haonan Guo

“…In the task allocation link, the grey wolf optimizer is improved by introducing Logistic chaos mapping and differential evolution mechanism, which improves the search efficiency and allocation accuracy. At the same time, the combination of the optimal matching algorithm and Bezier curve dynamic path control ensures the accuracy and flexibility of a coordinated attack. …”
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A Tutorial on Optical Feeding of Millimeter-Wave Phased Array Antennas for Communication Applications by Ivan Aldaya, Gabriel Campuzano, Gerardo Castañón, Alejandro Aragón-Zavala

“…This is especially important at millimeter-wave (mm-wave) frequencies, where the high power consumption and significant path loss impose serious range constraints. However, at mm-wave frequencies the phase and amplitude control of the feeding currents of the PAA elements is not a trivial issue because electrical beamforming requires bulky devices and exhibits relatively narrow bandwidth. …”
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Discontinuity method for evaluating scattering amplitudes within the worldline formalism by Victor Miguel Banda Guzmán

“…Abstract The worldline formalism offers an alternative framework to the standard diagrammatic approach in quantum field theory, grounded in first-quantized relativistic path integrals. Over recent decades, this formalism has attracted growing interest due to its potential applications and computational advantages. …”
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Optimizing Solid Rocket Missile Trajectories: A Hybrid Approach Using an Evolutionary Algorithm and Machine Learning by Carlo Ferro, Matteo Cafaro, Paolo Maggiore

“…The proposed framework integrates a six-degree-of-freedom (6DoF) simulation environment experimentally tuned for accuracy, with a combination of genetic algorithms (GAs) and machine learning (ML) to enhance the performance of the missile path. In the initial phase, a GA is employed to optimize the missile’s trajectory for efficient target acquisition, defining key launch parameters such as the ramp angle and lateral maneuver force to minimize positional errors and to ensure effective target engagement. …”
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GrapeSLAM: UAV-based monocular visual dataset for SLAM, SfM and 3D reconstruction with trajectories under challenging illumination conditionszenodo by Kaiwen Wang, Sergio Vélez, Lammert Kooistra, Wensheng Wang, João Valente

“…Perception and path planning in an automatic way is crucial for precision agriculture. …”
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The impact mechanism and governance of dietary structure upgrading on grain security in China by Cong Liu, Yanchi Chen, Haotian Yu

“…Consequently, in the context of the continuous upgrading of residents’ dietary structure, emphasizing water resource conservation, efficient utilization of international trade, and advancing rational dietary improvements can offer fresh perspectives and guidelines for formulating polices aimed at reducing the burdens on grain security in China.…”
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Mie metasurfaces for enhancing photon outcoupling from single embedded quantum emitters by Prescott Samuel, Iyer Prasad P., Addamane Sadhvikas, Jung Hyunseung, Luk Ting S., Brener Igal, Mitrofanov Oleg

“…Mie metasurfaces can provide an efficient, polarisation-selective and scalable platform for QEs.…”
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Optimizing timing for emergency vehicle approaching warnings by Kajsa Weibull, Björn Lidestam, Erik Prytz

“…To ensure that the warning is efficient and reliable it must have a suitable timing. …”
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