Effect of Heating Rate on the Dynamic Compressive Properties of Granite by Ronghua Shu, Tubing Yin, Xibing Li

“…By using a split Hopkinson pressure bar (SHPB) and variable-speed heating furnace, the dynamic compressive properties of granite were obtained after treatments at different heating rates and temperatures; these properties mainly included the dynamic compressive strength, peak strain, and dynamic elastic modulus. …”
Get full text

Review of Micro-Engines Utilizing Unsteady Wave Compression by Koji Okamoto, Toshio Nagashima, Janusz Piechna

“…The best solution is, therefore, a favorable combination of both features, leading to unsteady compression and steady-state expansion in the heat engine cycle. …”
Get full text

Learned distributed image compression with decoder side information by Yankai Yin, Zhe Sun, Peiying Ruan, Ruidong Li, Feng Duan

“…The encoder uses a deep Convolutional Neural Network (CNN) to extract high-level features from the input image, which then pass through the quantization module for further compression before undergoing lossless entropy coding. …”
Get full text

Compressive Sensing Network Deeply Induced by Visual Mechanism by Mingkun Feng, Xiaole Han, Kai Zheng

“…To further optimize the model’s efficiency, we employ a stepped replicating strategy in the feature transfer of dense residual blocks to improve feature transfer efficiency. …”
Get full text

An Axial Compression Transformer for Efficient Human Pose Estimation by Wen Tan, Haixiang Zhang, Xinyi Song

“…However, Transformer consumes a lot of computation. An axial compression pose transformer (ACPose) method is proposed to reduce part of the computational cost of Transformer by the axial compression of the input matrix, while maintaining the global receptive field by feature fusion. …”
Get full text

Indicators for the Compression and Stretching Characteristics of the HTF-Coordinate of WRF by Hailiang Zhang, Huoqing Li, Shuiyong Fan

“…Such indicators, including the maximum factor of compression (MFC), eta corresponding to the MFC, and the critical point of compression (CPC), were defined and calculated in this study. …”
Get full text

Parallel Fractal Compression Method for Big Video Data by Shuai Liu, Weiling Bai, Gaocheng Liu, Wenhui Li, Hari M. Srivastava

“…Meanwhile, a fractal compression method is deployed in a SIMD parallel environment to reduce compression time and improve the compression ratio. …”
Get full text

Experimental Study of Compression Behavior on Monolayer FFF Samples by Moises Batista, Pedro F. Mayuet Ares, Juan Manuel Vazquez-Martinez, Christiane Droste-Wendt

“…The current literature reveals a gap in the design and analysis of thin-walled AM specimens, especially monolayers, under compressive loads. Specifically, the design of monolayer or thin-walled AM compression specimens without infill has not been thoroughly explored. …”
Get full text

GlassBoost: A Lightweight and Explainable Classification Framework for Tabular Datasets by Ehsan Namjoo, Alison N. O’Connor, Jim Buckley, Conor Ryan

Subjects: Get full text

Analysis of archive formats and program solutions for compression of text files by Artem Perepelitsyn, Alona Chepelevych, Andrii Litvinov

“…The subject of study in this article and research is widely used archive formats for file compression, features of their implementation, text compression rates, and the time required for existing programs for different platforms. …”
Get full text

Multi-axis compression fusion network for vehicle re-identification by Tengda Ma, Ke Sun, Xiyu Pang, Wei Si, Tongxin Liu, Cheng Wang

“…The MCF attention mechanism preserves feature information on different axes through compression operations while maintaining high computational efficiency. …”
Get full text

A speech compression method without utilizing signal prediction by Ikuo Matsuo, Kazuo Ueda, Yoshitaka Nakajima

“…Previous speech compression methods for practical purposes had been based on signal prediction, taking the auditory functions into account but overlooking features specific to speech signals. …”
Get full text

Numerical Experiments on Triaxial Compression Strength of Soil-Rock Mixture by Yanxi Zhao, Zhongxian Liu

Get full text

Cervical spine cord compression by eosinophilic granuloma: case report by ELIZABETH BATISTA DUARTE-SILVA, JORGE EL-KADUM NOUJAIM, FILOMENA CARNEVALE

“…The clinical, radiological and histological features and, also, the value, in selected cases, of surgical treatment followed by low-dose radiation therapy is discussed. …”
Get full text

A Flexible Framework for Decentralized Composite Optimization with Compressed Communication by Zhongyi Chang, Zhen Zhang, Shaofu Yang, Jinde Cao

“…One of the key features of the CE-DADMM framework is its flexibility, allowing it to adapt to different communication and computation needs, balancing communication efficiency and computational overhead. …”
Get full text

Detection of Double Compression in HEVC Videos Containing B-Frames by Yoshihisa Furushita, Daniele Baracchi, Marco Fontani, Dasara Shullani, Alessandro Piva

“…The method extracts frame-level encoding features—including frame type, coding unit (CU) size, quantization parameter (QP), and prediction modes—and represents each video as a 28-dimensional feature vector. …”
Get full text

CAREC: Continual Wireless Action Recognition with Expansion–Compression Coordination by Tingting Zhang, Qunhang Fu, Han Ding, Ge Wang, Fei Wang

“…To address these issues, we propose CAREC, a class-incremental framework that balances dynamic model expansion with efficient compression. CAREC adopts a multi-branch architecture to incorporate new classes without compromising previously learned features and leverages balanced knowledge distillation to compress the model by 80% while preserving performance. …”
Get full text

Comparative analysis of the quality of fractal image compression with JPEG and JPEG2000 standards by Serhii Karnatov, Oleksandr Gertsiy

“…The analysis shows that JPEG2000 generally provides better quality at a given bitrate than JPEG, especially at high compression ratios, and offers additional features such as scalability, but this advantage is rather small. …”
Get full text

Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods by M. Timur Cihan

“…Prediction of the concrete compressive strength (fc) and slump (S) is important in terms of the desirability of concrete and its sustainability. …”
Get full text

Comparative Study on Hyperparameter Tuning for Predicting Concrete Compressive Strength by Jeonghyun Kim, Donwoo Lee

“…This study assesses the impact of hyperparameter optimization algorithms on the performance of machine learning-based concrete compressive strength prediction models. Three datasets were used to compare the performance of a basic model that had not undergone hyperparameter optimization, with the model incorporating random search, grid search, and Bayesian optimization. …”
Get full text