Bio-inspired multi-dimensional deep fusion learning for predicting dynamical aerospace propulsion systems by Michael Qian Vergnolle, Eastman Z. Y. Wu, Yanan Sui, Qian Wang

“…Additionally, a dual-way learning workflow using TwinBlock, inspired by the cooperative behavior of visual cells, is implemented to enhance perception of dynamical multi-scale features at a reduced computational cost. TimeWaves demonstrates reliable and robust performance in predicting rocket combustion instability, a key challenge in the aerospace industry.…”
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Deep Learning-Based Detection and Identification Method for Sports Health Video Dissemination by Yajun Pang

“…Sports health is gradually attracting attention, and computer vision technology is integrated into sports health to improve the quality of sports and increase the motivation of athletes. …”
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Multi-Channel Underwater Acoustic Signal Analysis Using Improved Multivariate Multiscale Sample Entropy by Jing Zhou, Yaan Li, Mingzhou Wang

“…This paper explores the optimal parameter selection range for the IMMSE algorithm and compares its sensitivity to noise and computational efficiency with traditional multivariate entropy algorithms. …”
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The Impact of Integrating Shallow and Deep Information on Knowledge Distillation by Yilin Miao, Yuhong Tang, Huangliang Ren, Jianjun Li

“…To address these issues, we propose a shallow feature extraction module (SFEM) that enriches the receptive field of images through dilated convolutions and captures information at different scales, while reducing parameter counts and optimizing computational resources. …”
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Research and Design of an Active Light Source System for UAVs Based on Light Intensity Matching Model by Rui Ming, Tao Wu, Zhiyan Zhou, Haibo Luo, Shahbaz Gul Hassan

“…The saliency feature is a key factor in achieving vision-based tracking for multi-UAV control. …”
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Interactive Maintenance of Space Station Devices Using Scene Semantic Segmentation by Haoting Liu, Chuanxin Liao, Xikang Li, Zhen Tian, Mengmeng Wang, Haiguang Li, Xiaofei Lu, Zhenhui Guo, Qing Li

“…Regarding the improved network, the original backbone network is replaced with a lightweight convolutional neural network, i.e., the MobileNetV2, with a smaller model scale and computational complexity. The convolutional block attention module (CBAM) is introduced to improve the network’s feature perception ability. …”
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Visual Localization Based on Torus-like Surfaces by Xuandong Liu, Lihong Luo, Bingren Shen

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Bayesian curriculum generation in sparse reward reinforcement learning environments by Onur Akgün, N. Kemal Üre

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Two-stage spline-approximation in linear structure routing by D. A. Karpov, V. I. Struchenkov

“…In the article, computer design of routes of linear structures is considered as a spline approximation problem. …”
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Multiscale Residual Weighted Classification Network for Human Activity Recognition in Microwave Radar by Yukun Gao, Lin Cao, Zongmin Zhao, Dongfeng Wang, Chong Fu, Yanan Guo

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Aircraft Multi-stage Altitude Prediction Under Satellite Signal Loss by Mengchan HUANG, Qiang MIAO

“…Addressing the longitudinal nature of aircraft flight parameter time series, a long temporal correlation attention (LTCA) mechanism is designed for feature extraction, enhancing spatiotemporal correlation representation. …”
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An interpretable stacking machine-learning model to predict the hot torsion flow characteristics of a micro-alloyed steel by Hojjat Emami, Mehdi Shaban Ghazani

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WirelessNet: An Efficient Radio Access Network Model Based on Heterogeneous Graph Neural Networks by Jose Perdomo, M. A. Gutierrez-Estevez, Chan Zhou, Jose F. Monserrat

“…With ablation experiments, we validate the downlink signal-to-interference-and-noise ratio (SINR) user equipment (UE) node feature as the most significant contributor to reconstruct downlink rates. …”
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Fuzzy model-based analysis of user feedback for product development insights by Anna Sudár, Borbála Berki, Ildikó Horváth

“…The proposed modeling framework constructs a model that outlines the relationship between measurable parameters of objective and subjective user feedback and the evaluation metrics of software and user capability, motivated by the typical disparity between feedback parameters and capability metrics. …”
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Additively manufactured hybrid auxetic structures for enhanced low frequency acoustic performance through experiments and modelling by Ali Bin Naveed, Aamir Mubashar, Muhammad Khizer Ali Khan, Adnan Munir, Kamran A. Khan

“…A computational modeling approach was verified and validated using numerical and experimental results from the literature. …”
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Exploring the thermal attributes of nano-composition (GQDs+Bi2Se3+Ag) suspended in therminol VP-1: An artificial intelligence based approach by Sohail Ahmad, Hessa A. Alsalmah

“…An order reduction approach is applied to streamline the mathematical modelling and computational efforts while preserving the system's accuracy. …”
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Lightweight Domestic Pig Behavior Detection Based on YOLOv8 by Kaining Zhang, Yu Zhang, Hongli Xu

“…Ultimately, we implement BiFPN in the neck network to replace the original FPN, which streamlines the neck network and enhances its feature-processing capabilities. The test findings indicated that, in comparison to the original YOLOv8n model, the precision, recall, and mean average precision at 50% remain constant, while the parameters and floating-point computations are diminished by 59.80% and 39.50%, respectively. …”
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Optimization Design Research of Architectural Layout and Morphology in Multi-Story Dormitory Areas Based on Wind Environment Analysis by Xiangru Chen, Haoran Kang, Juanru Zhao, Qibo Liu

“…Based on the analysis, the optimal design scheme features a staggered building layout, with individual dormitory buildings measuring 60 m in length, 16 m in width, and 11.4 m in height. …”
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Properties of the SURE Estimates When Using Continuous Thresholding Functions for Wavelet Shrinkage by Alexey Kudryavtsev, Oleg Shestakov

“…The advantages of these methods lie in their computational efficiency and the ability to adapt to the local features of the estimated function. …”
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AHG-YOLO: multi-category detection for occluded pear fruits in complex orchard scenes by Na Ma, Na Ma, Na Ma, Yile Sun, Yile Sun, Chenfei Li, Chenfei Li, Zonglin Liu, Zonglin Liu, Haiyan Song, Haiyan Song

“…First, the sampling method in the backbone and neck networks is replaced with ADown downsampling to capture higher-level image features, reducing floating-point operations and computational complexity. …”
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