Exploring Post-Quantum Cryptography: Evaluating Algorithm Resilience against Global Quantum Threats by Tara Nawzad Ahmad Al Attar, Mohammed Anwar Mohammed, Rebaz Nawzad Mohammed

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Study on the optimization of duration for repetitive projects considering spatial interference effects in operations by Chunli Zhang, Fan Zhang, Shuwen Yin, Yan Fu, Jun Liu, Peng Duan

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Research on 3D stability algorithm of potential sliding body in surface mining in confined space by Dong WANG, Xiaoyu XING, Li YIN, Shougong WANG, Lingwei KONG, Xiangyu MENG

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Protection Algorithm Based on Two-Dimensional Spatial Current Trajectory Image and Deep Learning for Transmission Lines Connecting Photovoltaic Stations by Panrun Jin, Jianling Liao, Wenqin Song, Xushan Zhao, Yankui Zhang

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Research on routing strategy of wireless sensor network in intelligent substation based on improved EEUC algorithm by LIU Yuming, CUI Chen, SUN Yanzhi, LI Xu, TIAN Feng

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Ecological and Statistical Evaluation of Genetic Algorithm (GARP), Maximum Entropy Method, and Logistic Regression in Predicting Spatial Distribution of Astragalus sp. by Amir Ghahremanian, Abbas Ahmadi, Hamid Toranjzar, Javad Varvani, Nourollah Abdi

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A genetic algorithm based method of optimizing dispersion matrix for RDSM system by Peng ZHANG, Xiaoping JIN, Dongxiao CHEN

“…Rectangular differential spatial modulation (RDSM) is a multi-antenna incoherent modulation technology with high spectral efficiency, low power consumption, and zero-overhead for channel estimation.RDSM is especially suitable for 6G communication systems, such as fast-moving Internet of vehicles, Internet of things, cellular networks, etc.However, the construction of the sparse rectangular unitary space-time dispersion matrix (DM) at transmitter is a problem.The proposed Genetic algorithm (GA) will result in less computational complexity than the currently used random research.The fitness of GA was calculated by the rank and determinant criterion (RDC) method to avoid discussions in differential system.Due to characteristics of constellation symbols of RDSM, the proposed method reduced the computational complexity during each single iteration in GA.The simulation results show that the optimized DMS can significantly improve the bit error rate (BER) performance of the RDSM system.Compared with random search, the low-complexity GA effectively improves the DMS optimization efficiency of RDSM.The computational complexity required for optimizing DMS is about 0.1% of random search optimization method.…”
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Research on the spatial allocation of fundamental medical facilities utilizing multi-objective optimization–a case study on Tianjin by Sheng Zhang, Yongsheng Ma, Juan Ren, Hui Liu, Lei Cui, Zizhao Fan

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EXPERIMENTAL RESULTS OF SOFTWARE ALGORITHMIC SYNCHRONIZATION OF DISTRIBUTED RADIO SYSTEM WITH MOBILE CARRIERS by I. V. Kryuchkov, M. I. Noniashvili, A. I. Skachkova, A. A. Filatov

“…One of the classes of modern radio engineering systems are systems with spatial diversity of transmitting, receiving or transceiving elements. …”
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Research on short-term traffic flow prediction based on the PCC-IGA-LSTM model by Junxi Zhang, Shiru Qu, Yang Bi, Lijing Ma

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Research and implementation of network transmission situation awareness by ZHUO Ying, GONG Chun-ye, GONG Zheng-hu

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Ship Formation and Route Optimization Design Based on Improved PSO and D-P Algorithm by Peilong Xu, Dan Lan, Haolin Yang, Shengtian Zhang, Hyeonseok Kim, Incheol Shin

“…The particle swarm algorithm introduces dynamic adaptive parameter adjustment and the cross mutation strategy of genetic algorithm, while the Douglas-Peucker algorithm integrates density-based noise application spatial clustering algorithm to improve model performance. …”
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A Spatial-Temporal Multi-Feature Network (STMF-Net) for Skeleton-Based Construction Worker Action Recognition by Yuanyuan Tian, Sen Lin, Hejun Xu, Guangchong Chen

“…However, most previous studies on action recognition have primarily focused on single-stream data, which limited the network’s ability to capture more comprehensive worker action features. Therefore, this research proposes a Spatial-Temporal Multi-Feature Network (STMF-Net) designed to utilize six 3D skeleton-based features to monitor and capture the movements of construction workers, thereby recognizing their actions. …”
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Flood-drought shifts monitoring on arid Xinjiang, China using a novel machine learning based algorithm by Sulei Naibi, Anming Bao, Ye Yuan, Jiayu Bao, Rafiq Hamdi, Tao Yu, Xiaoran Huang, Ting Wang, Tao Li, Jingyu Jin, Gang Long, Piet Termonia

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Research on malicious code variants detection based on texture fingerprint by Xiao-guang HAN, UWu Q, AOXuan-xia Y, UOChang-you G, Fang ZHOU

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Hybrid algorithms for geospatial analysis of dam location points in protective tasks for protected areas by S. Rodriguez Vasquez, N. V. Mokrova

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A super-resolution algorithm to fuse orthogonal CT volumes using OrthoFusion by Rebecca E. Abbott, Alain Nishimwe, Hadi Wiputra, Ryan E. Breighner, Arin M. Ellingson

“…Abstract OrthoFusion, an intuitive super-resolution algorithm, is presented in this study to enhance the spatial resolution of clinical CT volumes. …”
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The future of immunohistochemistry: advancing precision medicine through artificial intelligence-driven spatial proteomics and multiplexed diagnostic technologies by Ruby Dhar, Arun Kumar, Subhradip Karmakar

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Research on the Flow Space Planning Model of a Classical Garden Based on an Ant Colony Optimization Algorithm by YuLu Tang, Zamira Madina

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Determination of future gully erosion risk and its spatially quantitative interpretability of driving factors in regional scale using machine learning algorithms by Xin Liu, Dichen Wang, Mingming Guo, Xingyi Zhang, Zhuoxin Chen, Zhaokai Wan, Jielin Liu

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