Deep learning-enabled exploration of global spectral features for photosynthetic capacity estimation by Xianzhi Deng, Xiaolong Hu, Liangsheng Shi, Chenye Su, Jinmin Li, Shuai Du, Shenji Li

“…Furthermore, we verified that power compression was an effective method for spectral processing. …”
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Clinical features and surgical treatment of mediastinal masses in children: a retrospective study of 51 cases by Xianhui Shang, Xianhui Shang, Yuanmei Liu, Yuanmei Liu, Zhen Luo, Zhen Luo, Yingbo Li, Yingbo Li, Guangxu Zhou, Guangxu Zhou, Hongyang Tan, Hongyang Tan, Kaiyi Mao, Kaiyi Mao

“…Preoperative airway compression assessment and collaboration with anesthesia teams to establish emergency ventilation protocols are essential to ensuring perioperative safety in children.…”
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Study on acoustic emission evolution features of gas-bearing coal under different gas pressures by Yejiao Liu, Fu Gao, Wenjie Yan, Zeyu Duan, Guangbo Chen, Fengyi Jiang, Zhichao Tian, Jinliang Li

“…Abstract To explore gas pressure of coal samples under uniaxial compression condition the influence of the acoustic emission features, based on the uniaxial compression acoustic emission monitoring test, the acoustic emission parameters of coal samples under different gas pressure gradients are monitored and analyzed. …”
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Features of differential diagnosis and treatment of compression radiculopathy L₃, L₄ and femoral nerve neuropathy by O. V. Sklyarenko, S. N. Larionov, A. P. Zhivotenko, V. E. Potapov, A. V. Gorbunov

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AI driven prediction of early age compressive strength in ultra high performance fiber reinforced concrete by Mohamed Abdellatief, Wafa Hamla, Hassan Hamouda

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Adversarial feature learning for semantic communication in human 3D reconstruction by Shaojiang Liu, Jiajun Zou, Zhendan Liu, Meixia Dong, Zhiping Wan

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Efficient Deep Learning Model Compression for Sensor-Based Vision Systems via Outlier-Aware Quantization by Joonhyuk Yoo, Guenwoo Ban

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Resource-Constrained Specific Emitter Identification Based on Efficient Design and Network Compression by Mengtao Wang, Shengliang Fang, Youchen Fan, Shunhu Hou

“…Regarding model compression, we introduce sparse regularization techniques in the fully connected (FC) layer, achieving over 99% feature dimensionality reduction. …”
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Evaluating Packaging Design Relative Feature Importance Using an Artificial Neural Network (ANN) by Juan Gu, Euihark Lee

“…To address this challenge, this work applied four distinct Artificial Neural Network (ANN)-based approaches, including connection weights, gradient-based, permutation, and Shapley additive explanations (SHAP) values, to explore the relative importance of different packaging design features on a given packaging property. In this study, box compression strength (BCS) was used as a representative packaging property, and the relative importance of up to six BCS features (edge crush test (ECT), perimeter, thickness, depth, and flexural stiffness in both the machine and cross-machine directions) were evaluated. …”
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Enhancing the data processing speed of a deep-learning-based three-dimensional single molecule localization algorithm (FD-DeepLoc) with a combination of feature compression and pipeline programming by Shuhao Guo, Jiaxun Lin, Yingjun Zhang, Zhen-Li Huang

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Gearbox Fault Diagnosis Based on Compressed Sensing and Multi-Scale Residual Network with Lightweight Attention Mechanism by Shihua Zhou, Xinhai Yu, Xuan Li, Yue Wang, Kaibo Ji, Zhaohui Ren

“…Subsequently, a multi-scale feature extraction (MSFE) module was designed based on multi-scale learning, with the aim of improving the feature extraction ability of the signal in noisy environments. …”
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NMS-KSD: Efficient Knowledge Distillation for Dense Object Detection via Non-Maximum Suppression and Feature Storage by Suho Son, Byung Cheol Song

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Coefficient-Shuffled Variable Block Compressed Sensing for Medical Image Compression in Telemedicine Systems by R Monika, Samiappan Dhanalakshmi, Narayanamoorthi Rajamanickam, Amr Yousef, Roobaea Alroobaea

“…Compressed Sensing (CS) has recently gained widespread acceptance for rapidly compressing images with a reduced number of samples. …”
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SPECIFIC FEATURES OF DEFORMATION OF THE CONTINENTAL AND OCEANIC LITHOSPHERE AS A RESULT OF THE EARTH CORE NORTHERN DRIFT by Mikhail A. Goncharov, Yuri N. Raznitsin, Yuri V. Barkin

“…Drifting and submeridional compression of the continental and oceanic lithosphere, both with the northward vector (Figure 1) are revealed at the background of various directions of horizontal displacement combined with deformations of horizontal extension, compression and shear of the lithosphere (Figures 7–14). …”
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TPG image compression technology by Shitao WANG, Piao DING, Xiaozheng HUANG, Haijun LIU, Binji LUO, Xinxing CHEN, Youbao WU, Ronggang WANG

“…TPG(tiny portable graphic) is a new image compression technology based on the video part of AVS2 standard,whose compression efficiency is notably higher than traditional image formats like JPG,PNG and GIF.Theory and feature of TPG image compression technology were introduced.Then,the compression efficiency of TPG and traditional image formats was compared.Results show that TPG has overwhelming advantage.…”
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Image data-driven intelligent recognition of permafrost strength and feature visualization based analysis by Zhaoming YAO, Xun WANG, Hang WEI, Xiaolong WANG

“…It was found that the model could extract and analyze key image features of frozen soil, enabling rapid strength assessment. …”
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MRI-based 2.5D deep learning radiomics nomogram for the differentiation of benign versus malignant vertebral compression fractures by Wenhua Liang, Hong Yu, Lisha Duan, Xiaona Li, Ming Wang, Bing Wang, Jianling Cui

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Dual-Branch Neural Network-Based In-Loop Filter for VVC Intra Coding Using Spatial-Frequency Feature Fusion by Zhen Feng, Xu Liu, Cheolkon Jung

“…The spatial-frequency feature fusion combines features in spatial and frequency domains, which enhances feature representation capability and learns local and long-range feature correlations. …”
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Analytical computation for segmentation and classification of lumbar vertebral fractures by Roseline Nyange, Hemachandran Kannan, Channabasava Chola, Saurabh Singh, Jaejeung Kim, Anil Audumbar Pise

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Experimental study on the correlation between pore evolution characteristics and seepage flow of loaded lignite by Xi Zhang, Xi Zhang, Yankun Ma, Yankun Ma, Mingye Hu, Aohan Zhao, Aohan Zhao, Wenwang Yang, Wenwang Yang

Subjects: “…uniaxial compression…”
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