Performance Statistics of Autoregressive Short and Ultrashort Signal Detectors by V. M. Kutuzov, V. P. Ipatov, S. S. Sokolov

“…This paper investigates modified detection statistics of the parametric Burg method, characterized by the simplicity of decision functions and the capacity to provide a constant false alarm probability under varying additive noise levels.Materials and methods. Statistical computer simulation of the detection algorithms under consideration was conducted. …”
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Uniform Quantization for Multi-Antenna Amplify–Quantize–Forward Relay by Gangsan Jeong, Xianglan Jin

“…Given the challenge of finding optimal step sizes for the MIMO AQF relay, comparing outcomes across different determination algorithms proves to be a significant obstacle. …”
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Deep reinforcement learning for conservation decisions by Marcus Lapeyrolerie, Melissa S. Chapman, Kari E. A. Norman, Carl Boettiger

“…We show that a deep RL agent is able to learn a nearly optimal solution for the fisheries management problem. …”
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Simulation of incremental update of electronic document information based on big data technology by Zhiyuan Jin, Qi Zhang, Tiejun Pan

“…Through first-order approximation, the number of iterations in model parameter updates is significantly reduced, thereby improving the computational efficiency of the algorithm. The network structure optimization is mainly achieved by increasing the number of neurons in the hidden layer, and the BP algorithm and gradient descent method are used to iteratively calculate until the model converges, so as to improve the model’s ability to capture the dynamic features of incremental data. …”
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GPU-accelerated simulated annealing based on p-bits with real-world device-variability modeling by Naoya Onizawa, Takahiro Hanyu

“…By providing a scalable and accessible tool, this framework aims to advance research in probabilistic computing, enabling optimization applications in diverse fields.…”
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2D Lidar-Based SLAM and Path Planning for Indoor Rescue Using Mobile Robots by Xuexi Zhang, Jiajun Lai, Dongliang Xu, Huaijun Li, Minyue Fu

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High-throughput end-to-end aphid honeydew excretion behavior recognition method based on rapid adaptive motion-feature fusion by Zhongqiang Song, Jiahao Shen, Qiaoyi Liu, Wanyue Zhang, Ziqian Ren, Kaiwen Yang, Xinle Li, Jialei Liu, Fengming Yan, Wenqiang Li, Yuqing Xing, Lili Wu

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Increasing load factor in logistics and evaluating shipment performance with machine learning methods: A case from the automotive industry by Raziye Kılıç Sarıgül, Burak Erkayman, Bilal Usanmaz

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UAV-Assisted Unbiased Hierarchical Federated Learning: Performance and Convergence Analysis by Ruslan Zhagypar, Nour Kouzayha, Hesham ElSawy, Hayssam Dahrouj, Tareq Y. Al-Naffouri

“…Additionally, the algorithm facilitates optimization of system parameters such as UAV count, altitude, battery capacity, etc. …”
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Surface Clay and Mineral Exploration Using Hyperspectral Imaging: Advanced Techniques for Geospatial Analysis by S. Raut, N. Andure, A. Kadam, A. Dongare, A. Fulari, G. M. Sayyad, S. B. Sayyad, S. K. Shaikh, S. Sawant

“…SAM is used to classify mineralogical components by computing the spectral angle between the pixel spectra and the known spectral profiles. …”
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Quantifying Tree Structural Change in an African Savanna by Utilizing Multi-Temporal TLS Data by Tasiyiwa Priscilla Muumbe, Jussi Baade, Pasi Raumonen, Corli Coetsee, Jenia Singh, Christiane Schmullius

“…Individual tree segmentation was applied on the two clouds using the comparative shortest-path algorithm in LiDAR 360(v5.4) software. We reconstructed optimized QSMs and assessed tree structural parameters such as Diameter at Breast Height (DBH), tree height, crown area, volume, and branch length at individual tree level. …”
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Performance Analysis of Real-Time Detection Transformer and You Only Look Once Models for Weed Detection in Maize Cultivation by Oscar Leonardo García-Navarrete, Jesús Hernán Camacho-Tamayo, Anibal Bregon Bregon, Jorge Martín-García, Luis Manuel Navas-Gracia

“…To reduce the influence of weeds, precision weeding is used, which uses image sensors and computational algorithms to identify plants and classify weeds using digital images. …”
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A novel Hadamard matrix based hybrid compressive sensing technique for enhancing energy efficiency and network longevity by Balamurali S, Kathirvelu M, SatheeshKumar Palanisamy, Tagrid Abdullah N. Alshalali

“…To address these challenges, integrating excellent data compression and reconstruction methods with high-quality clustering algorithms can be the ideal solution. The proposed approach, NHM-HCS (Novel Hadamard Matrix-based Hybrid Compressive Sensing) introduces a collaborative method incorporating data compression, efficient cluster head selection, and optimal routing. …”
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Energy-Efficient Trajectory Planning With Joint Device Selection and Power Splitting for mmWaves-Enabled UAV-NOMA Networks by Ahmad Gendia, Osamu Muta, Sherief Hashima, Kohei Hatano

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Predictive value of machine learning model based on CT values for urinary tract infection stones by Jiaxin Li, Yao Du, Gaoming Huang, Chiyu Zhang, Zhenfeng Ye, Jinghui Zhong, Xiaoqing Xi, Yawei Huang

“…Seven machine learning algorithms along with eleven preoperative variables were used to construct the prediction model. …”
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AntBot-EX: Enhancing robot search efficiency in complex post-disaster environments. by Yao Xue, Chee Keong Tan, Wai Peng Wong

“…Secondly, the remaining unexplored areas are segmented, enabling targeted path planning with the [Formula: see text] algorithm to maximize coverage. Thirdly, to address computational limitations in large and complex environments, a configurable boundary-aware and a score-based threshold are introduced to simplify paths by strategically disregarding irrelevant regions, optimizing search efficiency. …”
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Efficient Context-Preserving Encoding and Decoding of Compositional Structures Using Sparse Binary Representations by Roman Malits, Avi Mendelson

“…In addition, the proposed algorithms allow to optimize the amount of compute and memory needed to achieve the desired encoding/decoding performance.…”
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Φ-OTDR disturbance localization of communication optical cable based on moving variance average and spectral subtraction by Wei SHEN, Xin HU, Ze ZHANG, Ling JU, Jian WU, Yi HUANG

“…The results demonstrate that spectral subtraction significantly outperforms the other two algorithms in localization effectiveness, achieving an SNR improvement exceeding 20 dB while maintaining a computational time as low as 0.58 s.…”
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Multi-Attitude Hybrid Network for Remote Sensing Hyperspectral Images Super-Resolution by Chi Chen, Yunhan Sun, Xueyan Hu, Ning Zhang, Hao Feng, Zheng Li, Yongcheng Wang

“…Extensive experiments demonstrate that our method achieves optimal reconstruction results compared to other state-of-the-art algorithms while effectively reducing the computational complexity.…”
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Uniform Physics Informed Neural Network Framework for Microgrid and Its Application in Voltage Stability Analysis by Renhai Feng, Khan Wajid, Muhammad Faheem, Jiang Wang, Fazal E. Subhan, Muhammad Shoaib Bhutta

“…Accurately extracting the parameters of these models is essential for effectively controlling and optimizing the overall stability of Chongqing power system (CPS). …”
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