Research on collision avoidance path planning method for mining and anchoring equipment in narrow and restricted space of tunneling laneways by Wenjuan YANG, Ran ZHANG, Xuhui ZHANG, Sihao TIAN, Zeyao WANG, Xili ZHENG, Zhiteng REN, Jicheng WAN, Yuyang DU, Hanbing ZHANG

“…Considering the motion characteristics of the mining and anchoring equipment, this paper introduces a Multi-Agent Experience Sharing mechanism on the basis of the Soft Actor-Critic (SAC) algorithm, proposing the MAES-SAC algorithm. …”
Get full text

A Priority-Based CSMA/CA Mechanism to Support Deadline-Aware Scheduling in Home Automation Applications Using IEEE 802.15.4 by Mario Collotta, Gianfranco Scatà, Giovanni Pau

“…Most of home automation networks (depending on the specific application) are mainly characterized by periodic traffic flows. In soft real-time contexts, the main problem is represented by the efficient allocation of guaranteed time slots (GTSs) for periodic traffic flows transmission in IEEE 802.15.4 networks. …”
Get full text

Large language models design sequence-defined macromolecules via evolutionary optimization by Wesley F. Reinhart, Antonia Statt

“…Anthropic’s Claude 3.5 model outperforms an active learning scheme with handcrafted surrogate models and an evolutionary algorithm in selecting monomer sequences to produce targeted morphologies in macromolecular self-assembly. …”
Get full text

Estimation single output with a hybrid of ANFIS and MOPSO_HS by Aref Yelghi

“…In the field of soft computing, the Adaptive Neuro-Fuzzy Inference System (ANFIS) has been more well-liked in recent years for its predictive capabilities. …”
Get full text

Limited Incisional Drainage and Negative-Pressure Wound Therapy in an Acute Morel-Lavallée Lesion by Eui-Sung Choi, Jae-Young Yang, Byung-Hyun Ahn

“…A Morel-Lavallée lesion is a post-traumatic closed degloving soft tissue injury after blunt trauma. Infection and skin necrosis frequently occur if it is not treated properly in the early stages. …”
Get full text

Adaptive variable channel heat dissipation control of ground control station under various work modes by Dexin Wang, Jiali Tao, Jin Lei, Xinyan Qin, Yanqi Wang, Jie Song, Tianming Feng, Yujie Zeng

“…This research introduces an Adaptive Variable Channel Control (AVCC) cooling approach using the Deep Reinforcement Learning Soft Actor-Critic (SAC) algorithm. The primary contributions of this paper include: (1) the design of a distributed cooling module featuring multiple cooling fans, which enables a variable channel cooling structure; (2) the development of a multi-module temperature control platform that simulates the heat generation conditions of each module under six work modes, providing a training environment for the cooling control algorithm; (3) the formulation of a model-free control method based on the SAC algorithm, AVCC, to optimize the cooling efficiency and endurance of the GCS. …”
Get full text

Rainfall Estimation Using Specific Differential Phase for the First Operational Polarimetric Radar in Korea by Cheol-Hwan You, Dong-In Lee, Mi-Young Kang

“…For quantitative use of specific differential phase (KDP), a data quality algorithm was developed for differential phase shift (ΦDP), composed of two steps; the first involves removal of scattered noise and the second is unfolding of ΦDP. …”
Get full text

Increasing the Quality of Transient Processes in the Vehicle Transmission by A. Taratorkin, V. Derzhankii, I. Taratorkin

“…For higher gears it is recommended that the Ramp algorithm (linear increase in the control input) be used for the cases when the response rate is not longer than period of the single-node mode of oscillations occurring in the dynamic system during a gear shift. …”
Get full text

Secure Transmission for RIS-Assisted Downlink Hybrid FSO/RF SAGIN: Sum Secrecy Rate Maximization by Jiawei Li, Weichao Yang, Tong Liu, Li Li, Yi Jin, Yixin He, Dawei Wang

“…To improve the security performance of SAGIN, this paper maximizes the sum secrecy rate (SSR) by optimizing the power allocation, RIS phase shift, and drone trajectory. Then, an alternating iterative framework is proposed for a joint solution using the simulated annealing algorithm, semi-definite programming, and the designed deep deterministic policy gradient (DDPG) algorithm. …”
Get full text

An effective method for the abnormal monitoring of stage performance based on visual sensor network by Fuquan Zhang, Gangyi Ding, Lin Xu, Bo Chen, Zuoyong Li

“…Through the background subtraction, the weighted threshold-based segmentation of the target image from the background image, the chaotic search particle swarm optimization algorithm based on image target detection and tracking algorithm for target tracking by mean shift, the abnormal behavior of local linear embedding and detection method based on sparse representation, a comprehensive analysis of the local manifold structure of sample is set. …”
Get full text

Deep learning-based detection and evaluation of building changes in rail transit protection zones by Cai Jia, Long Zhao, Chengyang Qian, Yu Zhang, Zini Cao, Xiaoqiang Zhu

“…The study demonstrates that a dedicated training sample set enhances the accuracy of building change detection. It emphasizes a shift from pure algorithm optimization toward dataset specialization, offering methodological and practical value for infrastructure safety and sustainable urban development.…”
Get full text

Transmission scheme for collaborative‐RIS‐aided NOMA system with multiple channels by Heyi Li, Hong Wang, Peiqi Li, Peiyu Wang

“…In the second approach, a joint optimization algorithm that achieves the channel assignment vectors and the phase shift coefficients in an alternative manner, and a sub‐channel assignment algorithm based on the equivalent channel gain is developed. …”
Get full text

Experimental Indoor Visible Light Positioning Systems With Centimeter Accuracy Based on a Commercial Smartphone Camera by Jiaojiao Xu, Chen Gong, Zhengyuan Xu

“…When the LED positions are unknown, we develop a shift rotation model on the receiver movement and further propose a novel indoor positioning algorithm. …”
Get full text

Minimizing Polarization Multiplexing Angle in Polarization-Division-Multiplexed System by Lin Jiang, Lianshan Yan, Anlin Yi, Zhiyu Chen, Yan Pan, Wei Pan, Bin Luo, Xinyu Zhou, Xia Feng

“…Both simulation and experimental results verify the effectiveness of the proposed algorithm for the transmission of a 56-Gb/s PDM-dual phase-shift keying (DPSK) signal over different polarization multiplexing angles (i.e., <inline-formula> <tex-math notation="LaTeX">$\theta=23^{\circ}$</tex-math></inline-formula>, 45&#x00B0;, 67&#x00B0;, 90&#x00B0;) and different lengths of transmission links (i.e., back-to-back, 320 km, 400 km).…”
Get full text

Research on Flexible Material Identification and Positioning Based on Machine Vision by Xiaowei Zhou, Qingmei Pan, Dingyuan Jiang, Jiazang Zhang

“…Traditional shape-based template matching algorithms are prone to local optima and overall shifts when dealing with size scaling and deformation of flexible materials, resulting in decreased positioning accuracy. …”
Get full text

Contactless Diagnosis Method and Unsupervised Learning for Panel-Level Photovoltaic Plant Operation and Maintenance by Yifan Wang, Jianrong Xu, Fei Xu, Long Deng, Chensheng Jin, Wenzhong Bao, Yufeng Xie

“…Renewable energy systems that depend on photovoltaic energy are crucial in the shift towards sustainable energy. Detecting faults in photovoltaic components is highly valued. …”
Get full text

Low-Carbon Dispatch Method for Active Distribution Network Based on Carbon Emission Flow Theory by Jiang Bian, Yang Wang, Zhaoshuai Dang, Tianchun Xiang, Zhiyong Gan, Ting Yang

“…Next, based on the carbon flow distribution of distribution networks, we construct a low-carbon dispatch model and formulate its optimization problem within a Markov Decision Process framework. We improve the Soft Actor–Critic (SAC) algorithm by adopting a Gaussian-distribution-based reward function to train and deploy agents for optimal low-carbon dispatch. …”
Get full text

Using Graph Neural Networks in Reinforcement Learning With Application to Monte Carlo Simulations in Power System Reliability Analysis by Oystein Rognes Solheim, Boye Annfelt Hoverstad, Magnus Korpas

“…For the actor part of this architecture, we have implemented both a deterministic agent being a variant of the Twin Delayed DDPG-algorithm, and a stochastic agent with similarities to the Soft Actor Critic-algorithm. …”
Get full text

Possibilities of magnet-resonance tomography usage while examining patients with reccurent genital prolapse by Banakhevych R.M.

“…The developed algorithm of dynamic magnetic resonance imaging in patients with recurrent pelvic hernia significantly improves the quality of diagnosis. …”
Get full text

A Micro-Segmentation Method Based on VLAN-VxLAN Mapping Technology by Di Li, Zhibang Yang, Siyang Yu, Mingxing Duan, Shenghong Yang

“…Building on the implementation of micro-segmentation, we also introduce an enhanced asset behaviour algorithm. This algorithm constructs behavioural profiles based on the historical traffic of internal network assets, enabling the rapid identification of abnormal behaviours and facilitating timely defensive actions. …”
Get full text