Stacking modeling with genetic algorithm-based hyperparameter tuning for uniaxial compressive strength prediction by Tanveer Alam Munshi, Khanum Popi, Labiba Nusrat Jahan, M. Farhad Howladar, Mahamudul Hashan

“…The methodology provided in this paper can assist engineers and researchers in quickly and precisely determining the strength of reservoir rock by using a few log features, hence decreasing the reliance on labor-intensive and time-consuming laboratory work.…”
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Numerical Simulation and Microscopic Stress Mechanism for the Microscopic Pore Deformation during Soil Compression by Gaoliang Tao, Wan Peng, Henglin Xiao, Xiaokang Wu, Yin Chen

“…A large number of studies have shown that pores of soil have fractal features, and hence, the carpet model can be used to approximately simulate the fractal structure of clay. …”
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10-km passive drone detection using broadband quantum compressed sensing imaging by Shuxiao Wu, Jianyong Hu, Jiaqing Ge, Yanshan Fan, Zhexin Li, Liu Yang, Kai Song, Jiazhao Tian, Zhixing Qiao, Guosheng Feng, Xilong Liang, Changgang Yang, Ruiyun Chen, Chengbing Qin, Guofeng Zhang, Liantuan Xiao, Suotang Jia

“…In this study, we introduce a new passive single-photon dynamic imaging method using quantum compressed sensing. This method utilizes the inherent randomness of photon radiation and detection to construct a compressive imaging system. …”
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Clinical and Imaging Characteristics of Patients with Cervical Compressive Myelopathy Presenting with Unilateral Motor Deficits by Masatsune Sato, Hisanori Mihara, Hyonmin Choe, Takanori Niimura, Yuji Kawashima, Yutaka Inaba

“…Although the pathological classification of cervical myelopathy is well established, the quantitative analysis of its imaging features remains underexplored. This study quantitatively evaluated the imaging characteristics of unilateral motor deficit cervical compressive myelopathy. …”
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Study on the energy evolution characteristics of coal-rock combined bodies under uniaxial compression by Min Gao, Qiangqiang Li, Yang Yang

“…To reveal the energy evolution characteristics of coal-rock combined bodies at different coal-body heights, uniaxial compression tests were conducted to investigate the influence of the coal-body height on the energy evolution features during the compression and failure process of the combined bodies. …”
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Clinical and biomechanical analysis of a dynamic compression intramedullary nail for hindfoot and ankle arthrodesis by Ryan Stone, DPM, AACFAS, Trevor Page, DPM, Thomas Chang, DPM, FACFAS, Byron Hutchinson, DPM, FACFAS

“…Newer generation intramedullary nail implants feature dynamic compression technology, offering continuous compression across the desired fusion interfaces. …”
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Compression after impact behavior of flat and tapered Single-Double carbon composite specimens by Alessandro Vescovini, Carina Xiaochen Li, Bo Cheng Jin, Andrea Manes

“…Two sets of specimens are flat with a constant cross-section and they are manufactured with ±45° and ±30° NCFs, respectively. Two sets feature a tapered cross-section and the same NCFs as the flat ones, and the fifth set consists of tapered specimens with the same fiber orientation as one of the tapered sets but feature NCFs with different areal density. …”
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Towards an Efficient Remote Sensing Image Compression Network with Visual State Space Model by Yongqiang Wang, Feng Liang, Shang Wang, Hang Chen, Qi Cao, Haisheng Fu, Zhenjiao Chen

“…As the network’s effective receptive field (ERF) expands, it can capture more feature information across the remote sensing images, thereby reducing spatial redundancy and improving compression efficiency. …”
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Mathematical modeling non-contact external compression pumps with different molecular weights gases by A. A. Raykov, A. A. Isaev, A. V. Burmistrov

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Determining Functional Safety Indices of CWR Track Subject to Action of Thermal Compression Forces by O. A. Suslov

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Sparse channel estimation algorithm based on compressed sensing in MIMO NC-OFDM system by Enqing CHEN, Xinli GAO, Xiaoqiang XIANG, Zhongyong WANG

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Channel estimation method of massive MIMO-OFDM system based on adaptive compressed sensing by Yiyang HU, Lina QI

“…Massive multiple-input multiple-output (MIMO) is a solution for efficiently providing connection services for a variety of machine equipment in the Internet of things (IoT), and efficient connection services require accurate channel estimation.Aimed at the problems of high pilot overhead and poor performance of normalized mean square error (NMSE) estimation in downlink channel estimation of massive MIMO systems, based on the compressed sensing (CS) theory, the common sparsity of the channel space domain was combined while using the feature of lower sparsity of adjacent time slot differential channel impulse response (CIR), which leaded to a significant reduction in pilot overhead.In the reconstruction algorithm, a two-stage differential estimation algorithm, which divided the channel estimation in consecutive time slots with time correlation into two stages, was proposed and the idea of adaptive compressed sensing was combined to achieve fast and accurate CIR estimate.The simulation results show that the proposed two-stage differential channel estimation algorithm not only has a significant improvement in the estimated NMSE performance and data transmission rate compared to the existing CS-based multiple measurement vector (MMV) algorithm, but also show a certain reduction in runtime complexity.…”
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Channel estimation method of massive MIMO-OFDM system based on adaptive compressed sensing by Yiyang HU, Lina QI

“…Massive multiple-input multiple-output (MIMO) is a solution for efficiently providing connection services for a variety of machine equipment in the Internet of things (IoT), and efficient connection services require accurate channel estimation.Aimed at the problems of high pilot overhead and poor performance of normalized mean square error (NMSE) estimation in downlink channel estimation of massive MIMO systems, based on the compressed sensing (CS) theory, the common sparsity of the channel space domain was combined while using the feature of lower sparsity of adjacent time slot differential channel impulse response (CIR), which leaded to a significant reduction in pilot overhead.In the reconstruction algorithm, a two-stage differential estimation algorithm, which divided the channel estimation in consecutive time slots with time correlation into two stages, was proposed and the idea of adaptive compressed sensing was combined to achieve fast and accurate CIR estimate.The simulation results show that the proposed two-stage differential channel estimation algorithm not only has a significant improvement in the estimated NMSE performance and data transmission rate compared to the existing CS-based multiple measurement vector (MMV) algorithm, but also show a certain reduction in runtime complexity.…”
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Comparative Analyses Concerning Triaxial Compressive Yield Criteria of Coal with the Presence of Pore Water by Rulin Liu, Yanbin Yu, Weimin Cheng, Qingfeng Xu, Haotian Yang, Jialong Shen

“…Although the parabolic Mohr criterion can describe the nonlinearity feature more decently than the linear yield criterion, the fitting error is significant, and the uniaxial compressive strength of coal is overestimated. …”
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SBCS-Net: Sparse Bayesian and Deep Learning Framework for Compressed Sensing in Sensor Networks by Xianwei Gao, Xiang Yao, Bi Chen, Honghao Zhang

“…Compressed sensing is widely used in modern resource-constrained sensor networks. …”
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Features of vertebral arteries pathology at trauma by V. V. Shchedrenok, T. V. Zakhmatova, O. V. Moguchaya

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A new shape clustered leg sizing system for mass customization fit of compression garments by Qian Mao, Rong Liu, Jingyun Lv, Rama Gheerawo

“…This study developed a novel shape-clustered leg sizing (SCLS) system for mass customization fit of compression garments. Applying 3D digital body scanning technology, we analyzed the anthropometrical features of 480 lower limbs from 240 adults (mean age 55.16 ± 4.65 years). …”
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Enhancing Hyperspectral Images Compressive Sensing Reconstruction With Smooth Low-Rankness Joint Gradient Sparsity by Yanyan Lv, Dan Li, Fanqiang Kong, Xinwei Wan, Qiang Wang

“…The application of compressive sensing (CS) theory in hyperspectral images (HSI) reconstruction has been validated. …”
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Fast COVID-19 Detection from Chest X-Ray Images Using DCT Compression by Fatma Taher, Reem T. Haweel, Usama M. H. Al Bastaki, Eman Abdelwahed, Tariq Rehman, Tarek I. Haweel

“…For each image, hardly few spectral DCT components are included as features. The dimension of the final feature vectors is reduced by scanning the compressed images using average pooling windows. …”
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Microstructural analysis and compressive strength evaluation of interlocking concrete paving blocks incorporating crumb rubber by Matheus David Inocente Domingos, Allan de Oliveira Gomes, Rafael de Oliveira Gomes, Wellington Mazer

“…Imaging Analysis Techniques (IATs) have become instrumental in civil engineering materials research, providing critical insights into the microstructural characteristics of mixtures and enabling associations between these features, numerical parameters, and laboratory-derived mechanical performance data. …”
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