Compressed Speech Steganalysis Through Deep Feature Extraction Using 3D Convolution and Bi-LSTM by Kesen Li, Feipeng Gao, Jie Yang

Get full text

Sparse convolutional neural network acceleration with lossless input feature map compression for resource‐constrained systems by Jisu Kwon, Joonho Kong, Arslan Munir

“…In this work, the authors propose a CNN acceleration technique that leverages hardware/software co‐design and exploits the sparsity in input feature maps (IFMs). On the software side, the authors' technique employs a novel lossless compression scheme for IFMs, which are sent to the hardware accelerator via direct memory access. …”
Get full text

Toward Quantum Interconnects Featuring Nanometer-to-Picometer Bandwidth Compression and THz-Range Quantum Frequency Conversion by Tim F. Weiss, Alberto Peruzzo

Get full text

Image Coding for Object Recognition Tasks Based on Contour Feature Learning With Flexible Object Selection by Takahiro Shindo, Taiju Watanabe, Yui Tatsumi, Hiroshi Watanabe

Get full text

Multi-Scale Channel Distillation Network for Image Compressive Sensing by Tianyu Zhang, Kuntao Ye, Yue Zhang, Rui Lu

Subjects: Get full text

An MCM-Enhanced Compressive Sensing for Weak Fault Feature Extraction of Rolling Element Bearings under Variable Speeds by Ya He, Kun Feng, Minghui Hu, Jinmiao Cui

“…The compressive sensing (CS) theory provides a new slight to the big-data problem led by the Shannon sampling theorem in rolling element bearings condition monitoring, where the measurement matrix of CS tends to be designed by the random matrix (RM) to preserve the integrity of signal roughly. …”
Get full text

Bayesian Neural Networks With Robust Feature Interpretation for Enhanced Compressive Strength Prediction of Ultra‐High‐Performance Concrete by Tao Zhang, Ji Hao, Jie Zhang, Lina Du, Yunhao Zhang, Wenbin Jiao

“…Two neural network models were constructed—one optimized using the Levenberg–Marquardt algorithm and the other employing Bayesian regularization—with the Bayesian model demonstrating superior accuracy and generalization. Feature importance and partial dependence analyses were further utilized to elucidate the influence of key mix parameters on compressive strength. …”
Get full text

Unique features of plasmonic absorption in ultrafine metal nanoparticles: unity and rivalry of volumetric compression and spill-out effect by Khrennikov Daniil, Labuntsov Victor, Ladutenko Konstantin, Terekhov Ivan, Bogdanov Andrey, Ågren Hans, Karpov Sergey

Get full text

Some features of compression therapy for varicose veins of the lower extremities of clinical class C2 according to CEAP by V. Yu. Bogachev, B. V. Boldin, P. Yu. Turkin, M. N. Klyuchevskaya

Get full text

Crack initiation and fracture features of Fe–Co–B–Si–Nb bulk metallic glass during compression by S. Lesz, A. Januszka, S. Griner, R. Nowosielski

“…The aim of the paper was investigation crack initiation and fracture features developed during compression of Fe-based bulk metallic glass (BMG). …”
Get full text

Features of laparoscopic and conventional decompression of the сeliac trunk by S. F. Bagnenko, D. I. Vasilevsky, A. M. Ignashov, Z. M. Кнamid, S. Yu. Puzanov, I. P. Rumyantsev, S. G. Balandov, A. N. Morozov, A. A. Suprunovich

Get full text

Knowledge distillation for spiking neural networks: aligning features and saliency by Yifan Hu, Guoqi Li, Lei Deng

Get full text

Advanced Machine Learning Techniques for Predicting Concrete Compressive Strength by Mohammad Saleh Nikoopayan Tak, Yanxiao Feng, Mohamed Mahgoub

Subjects: Get full text

Discrete Cosine Transform-Based Joint Spectral–Spatial Information Compression and Band-Correlation Calculation for Hyperspectral Feature Extraction by Ziqi Zhao, Changbao Yang, Zhongjun Qiu, Qiong Wu

“…To address this over-smoothing problem, we designed a method for extracting spectral–spatial-band-correlation (SSBC) features. In SSBC features, joint spectral–spatial feature extraction is considered a discrete cosine transform-based information compression, where a flattening operation is used to avoid the high computational cost induced by the requirement of distillation from 3D images for joint spectral–spatial information. …”
Get full text

Digital visual media forensics by Chun-hui FENG, Zheng-quan XU, Xing-hui ZHENG, Li JIANG

Subjects: “…intrinsic features…”
Get full text

Research on herd sheep facial recognition based on multi-dimensional feature information fusion technology in complex environment by Fu Zhang, Fu Zhang, Xiaopeng Zhao, Shunqing Wang, Yubo Qiu, Sanling Fu, Yakun Zhang

“…For facial identity recognition, the sixth-stage structure in GhostNet was replaced with a four-layer spatially separable self-attention mechanism (SSSA) to strengthen key feature extraction. Additionally, model compression techniques were applied to optimize the facial expression analysis network for improved efficiency. …”
Get full text

n-FFT COMPRESSED SENSING ALGORITHM OF SMART DIMENSIONALITY REDUCTION METHOD AND ITS APPLICATION IN FEATURE EXTRACTION AND CLASSIFICATION OF GEAR SYSTEM by CHEN Xiao, HUANG ChuanJin

Subjects: Get full text

Automated sparse feature selection in high-dimensional proteomics data via 1-bit compressed sensing and K-Medoids clustering by FuDong Wen, Yue Su, Dan Liu, YuPeng Wang, MeiNa Liu

Subjects: “…Feature selection…”
Get full text

Application of machine learning techniques to predict the compressive strength of steel fiber reinforced concrete by Ala’a R. Al-Shamasneh, Arsalan Mahmoodzadeh, Faten Khalid Karim, Taoufik Saidani, Abdulaziz Alghamdi, Jasim Alnahas, Mohammed Sulaiman

Subjects: Get full text

Encrypted traffic identification scheme based on sliding window and randomness features by LIU Jiachi, KUANG Boyu, SU Mang, XU Yaqian, FU Anmin

Subjects: Get full text