YOLOv8-UCB: Visual Detection of Pouch Battery Using Improved YOLOv8 by Hao Hao, Xiang Yu

“…First, while retaining the original network structure, we replaced the backbone of YOLOv8 with the UniRepLKNet feature extraction network to achieve a larger receptive field. Second, we constructed a distributed focal detection head CLLAHead, to better capture the features at different scales. …”
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Wi-CL: Low-Cost WiFi-Based Detection System for Nonmotorized Traffic Travel Mode Classification by Runnan Xu, Zilin Huang, Sikai Chen, Jinlong Li, Pan Wu, Yongjie Lin

“…In addition, the constructed travel speed estimation algorithm outperforms other baseline models in four different scenarios (flat-peak walking, midday peak walking, flat-peak cycling, and midday peak cycling), achieving an overall classification accuracy of 97.92%. …”
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Dynamic inverse piezo-effect problem for a long piezoceramic thermoelastic cylinder by M. A. Kalmova

“…The constructed solution allows determining the stress-strain state and electric field in a piezoceramic cylinder, as well as analyzing the effect of the induced temperature field on the electroelastic state of the system under consideration using the hyperbolic Lord–Shulman theory of thermal conductivity. …”
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Enhancing water saturation predictions from conventional well logs in a carbonate gas reservoir with a hybrid CNN-LSTM model by Ali Gohari Nezhad, Mohammad Emami Niri

“…The findings support two points: first, 1D-CNN and LSTM work better together in a hybrid structure, and second, the Archie equation is ineffective in carbonate reservoirs of the South Pars gas field. The study intends to enrich the literature by employing a hybrid machine learning algorithm compared to earlier studies and surpassing traditional protocols by comparing algorithms in a blind well to offer a reliable validation mechanism. …”
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Awareness of Unethical Artificial Intelligence and its Mitigation Measures by Sonja HÖLLER, Thomas DILGER, Teresa SPIESS, Christian PLODER, Reinhard BERNSTEINER

“…The most frequently mentioned mitigation measures by survey participants are laws and regulations, various types of algorithm audits, and education and training. This work thus provides new empirical insights for researchers and practitioners in the field of ethical artificial intelligence.…”
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Multiscale network alignment model based on convolution of homogeneous multilayer graphs by CUI Jiahao, JIANG Tao, XU Mengyao

“…Social network alignment as an important research method in network science has been widely used in several fields. Existing methods usually rely on high-quality user attribute information to complete specific tasks, but the existence of privacy protection mechanisms makes this information difficult to obtain. …”
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Optimization of D2D emergency communication resources for UAV relay based on DA-STD3 by Xiaofang Deng, Zijian Deng, Lin Zheng, Chao Yang, Chuanxu Chen

“…We construct a communication model for this scenario and propose an improved Dual-Actor Network Softmax Twin Delayed Deep Deterministic Policy Gradient algorithm based on deep reinforcement learning. …”
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Finite element modeling of heat propagation of a complete rod of constant cross-section by Б.З. Кенжегулов, С.Б. Кенжегулова, Д.Б. Алибиев, А.Ш. Кажикенова

“…The article presents a method for constructing a mathematical model and a corresponding computational algorithm that allows solving a class of problems to determine the regularities of the temperature distribution field in the elements of rod-shaped structures. …”
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Digital twin and contact analysis of ultra-long distance coiled tubing operation structures [version 2; peer review: 1 approved, 2 approved with reservations] by Wenlan Wei, Jiarui Cheng, Hao Qu, Maliang Wang, Wenyuan Wang

“…Firstly, the digital twin unit of continuous tubing-wellbore is constructed to achieve the fusion modelling of three types of information, namely structure, physical field and material, of the micro-element well section. …”
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Integrated Navigation Method for Orchard-Dosing Robot Based on LiDAR/IMU/GNSS by Wang Wang, Jifeng Qin, Dezhao Huang, Furui Zhang, Zhijie Liu, Zheng Wang, Fuzeng Yang

“…Firstly, the tightly coupled LIO-SAM algorithm was used to construct an orchard grid map for path planning and obstacle avoidance. …”
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Optimal Selection of the Reference Potential Probe Point in DCPD Real-Time Monitoring of Crack Growth Rate by He Xue, Siyu Gou, Chenqiang Ni, Liang Zhang, Shuai Wang, Youjun Zhao

“…Finite element method is used to analyze the electric potential field of the compact tensile sample, a mathematical model of the measurability and crack independence of the reference potential difference are constructed, genetic algorithm is used to find the optimal reference potential difference (RPD) probe point position, and finally, the crack monitoring experiments are performed to evaluate the feasibility of algorithm optimization results. …”
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Evolved Motor Design Process to Reduce the Design Expense of Axial Flux Permanent Magnet Motor by Jong-Min Ahn, Dong-Kuk Lim, Min-Mo Koo

“…Design variables with significant impact on performance are selected, and an optimal design is conducted using a multi-objective optimization algorithm. The analytical method employs the space harmonic method to calculate the motor’s magnetic field distribution using Fourier series, while the conformal mapping method considers the slot effect by incorporating it into the air gap flux density. …”
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ADAM-DETR: an intelligent rice disease detection method based on adaptive multi-scale feature fusion by Hanyu Song, Xinyue Huang, Ziqiang Wang, Jianwei Hu, Huasheng Zhang, Hui Yang

“…To address the challenges of insufficient feature extraction and poor multi-scale disease adaptability in existing deep learning approaches under complex field environments, this study proposes ADAM-DETR, a rice disease detection algorithm based on improved RT-DETR. …”
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TOPOLOGY OPTIMIZATION DESIGN METHOD FOR HINGE-FREE MULTI-INPUT MULTI-OUTPUT COMPLIANT MECHANISMS UNDER BUCKLING CONSTRAINTS (MT) by GAN Wei, RONG JianHua, ZHAO Lei, HE YiFan, LI ZhengWei, ZHOU Quan

“…Furthermore, cooperating with the Pian mixed stress element formula, the aggregation function method, the Heaviside three-field mapping scheme and the compliance change rate constraint measure, the topology optimization model of hinge-free multi-input multi-output compliant mechanisms considering buckling is constructed. …”
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ConvNeXt embedded U-Net for semantic segmentation in urban scenes of multi-scale targets by Yanyan Wu, Qian Li

“…The experimental results show that the method achieves 84.25% MPA and 75.61% MIoU. Our improved algorithm, ConvNeXt embedding in the U-Net algorithm architecture, is named Conv-UNet. …”
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Analysis and Prediction of Grouting Reinforcement Performance of Broken Rock Considering Joint Morphology Characteristics by Guanglin Liang, Linchong Huang, Chengyong Cao

“…Furthermore, multiple machine learning algorithms are employed to construct a robust predictive model. …”
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Deep Reinforcement Learning in Multi-UAV Air Combat Maneuver Decision-Making: A Review of Key Techniques in Practice and Future Prospects by Fang Siyu, Zhang Zhenhua, Niu Jinglong, Bian Jiang, Xu Changyi, Wu Yuhu

“…Aimed at providing practical optimization suggestions or basic entry-level guidance for researchers in this field, this paper focuses on the key technologies involved in multi-UAV air combat from a practical perspective, including improvements in deep reinforcement learning algorithms, the design of efficient training methods, and the construction of multi-UAV combat environments. …”
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Facilitate Sustainable Architecture Through Computational Integration: A Three-Phase Framework by Passaint Massoud

“…It represents a significant advancement in the field of architecture, offering the potential for more sustainable building practices. …”
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Analysis for sparse channel representation based on dictionary learning in massive MIMO systems by Qing‐Yang Guan

“…Finally, a sparse representation coefficient optimization algorithm is proposed using this optimal threshold. …”
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Teaching a neural network modeling socio-economic development of the region by S. V. Romanchukov, O. G. Berestneva, L. A. Petrova

“…The article is devoted to the formation of an array of data for the construction of an artificial neural network, designed to search for relationships between social and economic parameters of the development of regions of the Russian Federation. …”
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