Prediction of lithium-ion battery SOC based on IGA-GRU and the fusion of multi-head attention mechanism by Pei Tang, Minnan Jiang, Weikai Xu, Zhengyu Ding, Mao Lv

“…However, the value of SOC cannot be directly measured. In order to more accurately estimate the SOC, this paper proposes a prediction method that combines an immune genetic algorithm, gated recurrent unit, and multi-head attention mechanism (MHA), using battery experimental data from the University of Maryland as the dataset. …”
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Single-Lane 112-Gbit/s SSB-PAM4 Transmission With Dual-Drive MZM and Kramers–Kronig Detection Over 80-km SSMF by Liang Shu, Jianqiang Li, Zhiquan Wan, Fan Gao, Songnian Fu, Xiang Li, Qi Yang, Kun Xu

“…We have experimentally demonstrated the signal-to-signal beating interference (SSBI) mitigation capability of Kramers–Kronig (KK) detection in a single sideband (SSB) four-ary pulse-amplitude-modulation (PAM4) direct detection (DD) system. A 112-Gbit/s (56-GBaud) SSB-PAM4 optical signal suitable for KK detection is generated by using a single commercial, low-cost dual-drive Mach–Zehnder modulator. …”
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Edge-Fog Computing-Based Blockchain for Networked Microgrid Frequency Support by Ying-Yi Hong, Francisco I. Alano, Yih-der Lee, Chia-Yu Han

“…The parameters and hyperparameters of the LSTM-MFPC are optimized using the Bayesian Adaptive Direct Search (BADS) algorithm. The root mean square error (RMSE) of the current obtained using the traditional model predictive control (MPC) and the proposed LSTM-MFPC applied to the inverter are 0.1970 and 0.1432, respectively. …”
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A Diagnostic and Performance System for Soccer: Technical Design and Development by Alberto Gascón, Álvaro Marco, David Buldain, Javier Alfaro-Santafé, Jose Victor Alfaro-Santafé, Antonio Gómez-Bernal, Roberto Casas

“…Designed to meet the needs of professional podiatrists and sports practitioners, the system focuses on three key soccer-related movements: passing, shooting, and changes of direction (CoDs). The system leverages low-power IMU sensors, Bluetooth Low Energy (BLE) communication, and a cloud-based architecture to enable real-time data analysis and performance feedback. …”
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Human motion capture data recovery based on non-convex low-rank priors of temporal difference(非凸时序差分低秩约束的人体运动捕获数据恢复算法) by 胡文玉(HU Wenyu), 彭绍婷(PENG Shaoting), 郭震宇(GUO Zhenyu), 黄慧英(HUANG Huiying)

“…However, as the frame number increases, the low-rank property may not be satisfied. To characterize the low-rank property of motion data well, a non-convex temporal difference low-rank constrained human motion capture data recovery algorithm is proposed by combining the Schatten-p norm and the q-norm. …”
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Infrared Small Target Detection Based on Compound Eye Structural Feature Weighting and Regularized Tensor by Linhan Li, Xiaoyu Wang, Shijing Hao, Yang Yu, Sili Gao, Juan Yue

“…Our model is efficiently solved using the Alternating Direction Method of Multipliers (ADMM). Experimental results demonstrate that the proposed model can rapidly and accurately detect small infrared targets in bio-inspired compound eye image sequences, outperforming other comparative algorithms.…”
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What is known about the health of location-based and online web-based digital labour platform workers? A scoping review of the literature by Nuria Matilla-Santander, Filippa Lundh, Signild Kvart, Sherry L. Baron, Theo Bodin, Jessie Gevaert, Carin Håkansta, Julio C. Hernando, Carles Muntaner, Bertina Kreshpaj

“…Methodological limitations, such as low sample size and lack of control groups, were noted. …”
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Evaluation of geological engineering factors for productivity of deep CBM well after fracturing based on grey correlation method by KONG Xiangwei,XIE Xin,WANG Cunwu,SHI Xian

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An Adaptive Vehicle Stability Enhancement Controller Based on Tire Cornering Stiffness Adaptations by Jianbo Feng, Zepeng Gao, Bingying Guo

“…A hierarchical control architecture is developed, combining active front steering (AFS) and direct yaw moment control (DYC). A recursive regularized weighted least squares algorithm is designed to estimate tire cornering stiffness from measurable vehicle states, eliminating the need for additional tire sensors. …”
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RRBM-YOLO: Research on Efficient and Lightweight Convolutional Neural Networks for Underground Coal Gangue Identification by Yutong Wang, Ziming Kou, Cong Han, Yuchen Qin

“…Coal gangue identification is the primary step in coal flow initial screening, which mainly faces problems such as low identification efficiency, complex algorithms, and high hardware requirements. …”
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Massive access technology in 6G cellular Internet of things network by Feiyan TIAN, Xiaoming CHEN, Caijun ZHONG, Zhaoyang ZHANG

“…To realize Internet of everything (IoE),the 6G cellular Internet of things (IoT) network need to provide wireless access with low power,massive connectivity and wide coverage.Through the analysis and research on the massive access technology in 6G cellular IoT network,especially in combination with the sporadic characteristics of IoT applications,a new access framework based on the grant-free random access protocol was designed to facilitate efficient massive access with limited spectrum resources.The proposed framework consisted of two phases.One was joint activity detection and channel estimation.The other was data transmission,which was divided into two categories,uplink data transmission and downlink data transmission,according to the different directions of data transmission.Due to the uncertainty of channel state information at the base station under the massive grant-free random access and considering the low power demand of 6G IoT devices,two robust uplink and downlink access algorithms were designed by maximizing the system energy efficiency.Extensive simulation results validate the effectiveness and robustness of the proposed algorithm.…”
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Artificial intelligence in triage of COVID-19 patients by Yuri Oliveira, Iêda Rios, Paula Araújo, Alinne Macambira, Marcos Guimarães, Lúcia Sales, Marcos Rosa Júnior, André Nicola, Mauro Nakayama, Hermeto Paschoalick, Francisco Nascimento, Carlos Castillo-Salgado, Vania Moraes Ferreira, Hervaldo Carvalho

“…Systems capable of predicting individuals at higher risk of progressing to severe forms of the disease could optimize the allocation and direction of resources. In this work, we evaluated the performance of different Machine Learning algorithms when predicting clinical outcomes of patients hospitalized with COVID-19, using clinical data from hospital admission alone. …”
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Robust Multi-Stage Planning of Park-Level Integrated Energy System Considering Source-Load Uncertainties by JIANG Xunpu, BAO Zhejing, YU Miao, GUO Chuangxin, GUO Yuanyue, WANG Jian

“…Therefore， this paper employs the nested column-and-constraint generation （NC&CG） algorithm to solve the model. [Results] Simulation results show that the robust programming model can improve the robustness of the system by sacrificing the economic and low-carbon benefits of the system to a certain extent and can flexibly adjust the robustness of the PIES planning scheme by changing the value of the uncertainty parameters. …”
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Study on Trajectory Planning for Polishing Free-Form Surfaces of XY-3-RPS Hybrid Robot by Xiaozong Song, Junfeng An, Xingwu Ma

“…Traditional trajectory planning methods for free-form surface polishing in high-curvature regions suffer from issues such as a lack of precision, low trajectory continuity, and inefficiency. This paper proposes an improved trajectory planning method based on curvature characteristics, incorporating dynamic partitioning and boundary smoothing algorithms. …”
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Leveraging Vision Foundation Model via PConv-Based Fine-Tuning with Automated Prompter for Defect Segmentation by Yifan Jiang, Jinshui Chen, Jiangang Lu

“…On two real-world defect segmentation datasets, PA-SAM achieves mean Intersections over Union of 73.87% and 68.30%, as well as mean Dice coefficients of 84.90% and 80.22%, outperforming other state-of-the-art algorithms, further demonstrating its robust generalization and application potential.…”
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Research on run-time overhead of RM and improvement by LUO Ding-ding, ZHAO Hai, SUN Pei-gang, ZHANG Xi-yuan, YIN Zhen-yu

“…RM algorithm is a classic fixed priority real-time scheduling algorithm, but in most embedded real-time sys- tems, where the workload is composed of many tasks of high frequency and short execution time, the overheads from context-switches of real-time operating system will lead to a low resource utilization rate if RM algorithm is directly used. …”
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探討強化學習演算法之素材推薦機制與AI學習履歷之學習者感知 Learner Perceptions of AI-Powered Learning Portfolios and Personalized Material Recommendation Mechanisms in Reinforcement Learning Algorithms... by 曾建維 Jian-Wei Tzeng, 黃天麒 Tien-Chi Huang, 薛承祐 Cheng-Yu Hsueh, 廖英淞 Ying-Song Liao

“…The participants demonstrated strong positive attitudes toward system reliability, learning attitudes, and metacognition but low perceptions of system utility, and low overall usage rates. …”
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A novel lubricating method of oil pump with self-adaptive adjustment function for transmission by Yangfeng Cao, Dazhou Liu, Peng Zhang, Hao Zhou, Shengdun Zhao

“…Abstract At present, the lubrication of transmission in vehicles cannot be adjusted according to driving conditions, especially vehicles’ speed, resulting in low lubrication efficiency and high energy loss. …”
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Enhanced Vehicle Tracking With Discretization Error Control for OFDM-Based Radar System by Seong-Hwan Hyun, Jiho Song, Keunwoo Kim, Jong-Ho Lee, Seong-Cheol Kim

“…Numerical results demonstrate that the estimation performance of the proposed algorithm outperforms that of existing algorithms that rely on uncorrected discrete measurement samples.…”
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An adaptive method for individual tree segmentation synthesizing canopy cover and competitive mechanism using UAV data by Qiyu Guo, Kangning Li, Xiaojun Qiao, Jinbao Jiang, Yinpeng Zhao

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