Research on the Innovation and Practical Path of Talent Training Model in Musicology Industry Based on AIGC by Wu Pengcheng, Pei Mengqi

“…AIGC technology relies on deep learning and big data analysis to efficiently generate music works, meet personalized needs, and promote the deep integration of the music industry with fields such as film, television, and gaming. …”
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AMD-FV: Adaptive margin loss and dual path network+ for deep face verification. by Zeeshan Ahmed Khan, Waqar Ahmed, Panos Liatsis

“…Next, DPN+ enhances the original Dual Path Network by redesigning the first block with a series of 3x3 convolutions, batch normalization, and ReLU activations, leveraging shared connections across layers, leading to increases in spatial resolution and computational cost efficiency, while maximizing the use of discriminative features. …”
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Memory-augmented meta-learning on meta-path for fast adaptation cold-start recommendation by Tianyuan Li, Xin Su, Wei Liu, Wei Liang, Meng-Yen Hsieh, Zhuhui Chen, XuChong Liu, Hong Zhang

“…As a result, this paper proposed memory-augmented meta-learning on meta-path, a new meta-learning method that addresses the cold-start recommendation on the meta-path furthered. …”
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Autonomous Robotic Path Planning Based on the Gaussian Mixture Model in Complex Manufacturing Environment by Rui Sun, Yuanmin Wang, Wenzheng Zhao, Yinhua Liu

“…The results show that compared with the benchmark methods, the proposed method can improve the planning efficiency, reduce the path length, and be more robust. …”
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Advancing e-commerce adoption among SMEs in Jordan: A path to digital transformation by Basim Abbas Ali Alobaydi, Mohammad Mahmoud Saleem Alzubi, Ali Mohammad Ali Alqudah

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Advancing e-commerce adoption among SMEs in Jordan: A path to digital transformation by Basim Abbas Ali Alobaydi, Mohammad Mahmoud Saleem Alzubi, Ali Mohammad Ali Alqudah

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Sparse support path generation for multi-axis curved layer fused filament fabrication by Tak Yu Lau, Dong He, Yamin Li, Yihe Wang, Danjie Bi, Lulu Huang, Pengcheng Hu, Kai Tang

“…Lastly, the support layer slices and support segments that satisfy the self-supported criterion are generated for the final support printing paths. Simulation and experiments have been performed to validate the proposed methodology.…”
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New blocked all-pairs shortest paths algorithms operating on blocks of unequal sizes by A. A. Prihozhy, O. N. Karasik

“…In real-world networks, many problems imply finding the All-Pairs Shortest Paths (APSP) and their distances in a graph. Solving the large-scale APSP problem on modern multi-processor (multi-core) systems is the key for various application domains. …”
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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

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Overhead line path planning based on deep reinforcement learning and geographical information system by Jiahui Chen, Yi Yang, Ling Peng, Lina Yang, Yinhui Han, Xingtong Ge

“…Current overhead line planning primarily relies on manual labor, and existing automated algorithms have low adaptability, making it difficult to efficiently accomplish path planning tasks under various environments and objectives. …”
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Multi-Strategy Improved Harris Hawk Optimization Algorithm and Its Application in Path Planning by Chaoli Tang, Wenyan Li, Tao Han, Lu Yu, Tao Cui

“…These results indicate that MIHHO has significant performance advantages in path planning tasks and helps to improve the path planning efficiency and accuracy of mobile robots.…”
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Machine Learning for Decision Support and Automation in Games: A Study on Vehicle Optimal Path by Gonçalo Penelas, Luís Barbosa, Arsénio Reis, João Barroso, Tiago Pinto

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Integrated Vehicle Dynamics Modeling, Path tracking, and Simulation: A MATLAB Implementation Approach by Fatima Haidar, Abderaouf Laib, Syed Ali Ajwad, Guillaume Guilbert

“…Specifically, the models accurately replicate vehicle motion in straight lines and circular patterns, corresponding to longitudinal speed and steering angle inputs. Additionally, a path tracking controller is integrated to showcase the model's efficiency and validate its derived parameters. …”
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An Adaptive Fusion Path Tracking Strategy for Autonomous Vehicles Based on Improved ACO Algorithm by Jihan Zhang, Yuan Wang, Jinyan Hu, Hongwu You

“…This study of path tracking strategy for autonomous vehicles can be devoted to providing a new perspective of the controllers’ development to improve computational efficiency and its application in complex traffic scenarios.…”
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Optimization of Noise Transfer Path Based on the Composite Panel Acoustic and Modal Contribution Analysis by Qiang Liu, Xuanyi Zhou, Jianxin Zhu, Xiaoping Gong

“…The noise of a cab directly affects the comfort and labor efficiency of the operators. The optimization of the structure-borne transmission path can obviously reduce the cab noise. …”
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Research on Particle Swarm Optimization-Based UAV Path Planning Technology in Urban Airspace by Qing Cheng, Zhengyuan Zhang, Yunfei Du, Yandong Li

“…An enhanced Lévy flight strategy is used to improve the exploration ability, and a greedy algorithm evaluation strategy is designed to evaluate the path more quickly. The configuration space is efficiently searched using the corresponding particle positions and UAV parameters. …”
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Path Planning for Agricultural UAVs Based on Deep Reinforcement Learning and Energy Consumption Constraints by Haitao Fu, Zheng Li, Weijian Zhang, Yuxuan Feng, Li Zhu, Yunze Long, Jian Li

“…The methodology encompasses four components: payload-energy consumption modeling, soybean cultivation area identification using Google Earth Engine-derived spatial distribution data, raster map construction, and enhanced segmented coverage path planning implementation. Through simulation experiments, the BiLG-D3QN algorithm demonstrated superior coverage efficiency, outperforming DDQN by 13.45%, D3QN by 12.27%, Dueling DQN by 14.62%, A-Star by 15.59%, and PPO by 22.15%. …”
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A novel mobile robot path planning method based on neuro-fuzzy controller by Abbas Mostafanasab, Mohammad Bagher Menhaj, Mahnaz Shamshirsaz, Rasul Fesharakifard

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The Development Path and Carbon-Reduction Method of Low-Carbon Pilot Urban Areas in China by Lining Zhou, Qingqin Wang, Haizhu Zhou, Yiqiang Jiang, Rongxin Yin, Tong Lu

“…Based on the prediction results, the study proposes six types of collaborative emission-reduction paths: improving building energy efficiency (annual emission reduction of 93800 tons), promoting green travel (58,900 tons), increasing the utilization rate of non-conventional water resources (3700 tons), reducing per capita solid waste generation (14,400 tons), expanding the application of renewable energy (288,200 tons), and increasing green space carbon sinks (135,000 tons). …”
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Path following control of underground mining articulated vehicle based on the preview control method by MENG Yu, GAN Xin, BAI Guo-xing

“…The realization of automatic driving of underground mine vehicles can improve mining automation and intelligence and ensure safety of workers, and it can significantly increase mining and exploitation efficiency. Automatic driving of underground mining vehicles requires the technologies of location, communication, navigation, and path following control. …”
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