Comparison of Fractional Anisotropy Variances in the Trigeminal Nerve at Root Entry and Cisternal Segment Zones in Patients with and without Clinical Features of Trigeminal Neuralg... by Athota Sai Preethi, Vadana Balamurali Krishna, Velicheti Sandeep, Hanumanthu Manasa Mayukha, Marineni Anveeksha, Kondragunta chandrasekhar

“…Diffusion Tensor Imaging (DTI) is commonly utilised to identify white matter tracts in the brain through tractography, providing valuable insights into neural integrity and potential compression. Aim: To compare the Fractional Anisotropy (FA) value at root entry and cisternal segment zones in patients with and without clinical features of Trigeminal Neuralgia (TN). …”
Get full text

Correction: 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

Subjects: Get full text

Interpretable Machine Learning Framework for Non-Destructive Concrete Strength Prediction with Physics-Consistent Feature Analysis by Teerapun Saeheaw

Get full text

Rapid video copy detection on compressed domain by ZHANG Yong-dong, ZHANG Dong-ming, GUO Jun-bo, TANG Sheng

“…To reduce the detection time efficiency under large scale data environment, a rapid algorithm was proposed on compressed domain using a two-level hierarchical detection scheme.The ordinal measures of DCT coefficients were adopted as visual features for similarity-matching in order to reduce the computational load in video decoding.Inverted indexing structure was used to accelerate the first level detection process.The experiment results show, compared with the previous algorithm, the algorithm can improve the detection speed obviously with the similar detection precision.…”
Get full text

Dual-Ascent-Inspired Transformer for Compressed Sensing by Rui Lin, Yue Shen, Yu Chen

“…Deep learning has revolutionized image compressed sensing (CS) by enabling lightweight models that achieve high-quality reconstruction with low latency. …”
Get full text

Compression Ratio as Picture-Wise Just Noticeable Difference Predictor by Nenad Stojanović, Boban Bondžulić, Vladimir Lukin, Dimitrije Bujaković, Sergii Kryvenko, Oleg Ieremeiev

“…This paper indicates the great potential of CR so that in future research, it can be used in joint prediction based on several features or through the CR curve obtained for different values of the parameters controlling the compression.…”
Get full text

Enhanced fracture fixation stability and osseointegration through over-compression: Design of an annular compression plate for posterolateral tibial plateau fractures by Chao-Wei Huang, Xin-Cheng Dai, Yu-Tzu Wang

“…The AC plate features an annular enclosure to prevent fragment collapse and a 1° over-compression angle at primary bending angles to promote osseointegration. …”
Get full text

Comparison of some Algorithms in Image Compression Application by Manar Ahmed

“…Today there are a number of algorithms developed in the framework of international committees that allow still image compression. In this paper, the area of Vector Quantization (VQ) neural network with the Self-Organizing Feature Map (SOFM) has been compared with the ordinary vector Quantization technique Linde-Buzo-Gray (LBG) in image compression. …”
Get full text

Compressing Neural Networks on Limited Computing Resources by Seunghyun Lee, Dongjun Lee, Minju Hyun, Heeje Kim, Byung Cheol Song

“…Network compression is a crucial technique for applying deep learning models to edge or mobile devices. …”
Get full text

An Enhanced and Lightweight YOLOv8-Based Model for Accurate Rice Pest Detection by Guisuo Liu, Juxing Di, Qing Wang, Yan Zhao, Yang Yang

Subjects: Get full text

Surface anomaly detection on island-based PV panels using edge neural networks by ZHANG Yinxian, ZHANG Zhanyao, ZHANG Xiya

Subjects: Get full text

Dual-branch attention network-based stereoscopicvideo compression by TANG Shu, ZHAO Yu, YANG Shuli, XIE Xian-Zhong

“…However, most existing deep learning-based stereoscopic video compression networks only use convolutional operations to extract and fuse features, which limits their ability to effectively capture non-repetitive texture details within local areas and cannot capture global features, thus affects the quality of image reconstruction during decoding seriously. …”
Get full text

Aortosternal Venous Compression: A Review of Two Cases by Victoria Giglio, Zain Badar, Yasovineeth Bhogadi, Brian Van Adel, Gordon Yip

“…One of the features of AVC involves compression of the left innominate vein with variability in luminal caliber on inspiration and expiration. …”
Get full text

COMPRESSIVES IN STUDENT DISCOURSE OF THE INDO-EUROPEAN LANGUAGE ENVIRONMENT by Natalia V. Diachok.

“…Philologists are expected to know how to analyze the results of modern nomination processes, especially those that show their belonging to the youth subcode: in word-formation, form-building, other grammatical features of compressives of different representation. …”
Get full text

Compression of Digital Image based on Hybrid Heuristic Algorithm by Fawziya Ramo, Yaser Al Deen

“…In the first algorithm which is now as  Meta Heuristic Genetic Compression Algorithm (MGCA) the characteristic and features of GA and local search are used to compress digital image. …”
Get full text

Research and application of flight trajectory data compression algorithm by YANG Yao, XIAO Yajuan

“…The algorithm first performs clustering on the flight direction parameters and selects trajectory feature points based on the category labels. Then, the algorithm calculates the information entropy to determine the score of each trajectory feature point, and compresses the trajectory data based on the compression rate and score sorting. …”
Get full text

Numerical investigation on the compressive behavior of hierarchical granular piles by Sota Arakawa, Mikito Furuichi, Daisuke Nishiura

“…In addition, we developed a semi-analytical model for the compression curve, offering insights into the compressive stages and structural dynamics. …”
Get full text

Efficient Large-Scale Point Cloud Geometry Compression by Shiyu Lu, Cheng Han, Huamin Yang

“…To address these issues, we propose an efficient large-scale scene point cloud geometry compression algorithm. By analyzing the sparsity of large-scale point clouds and the impact of scale on feature extraction, we design a cross-attention module in the encoder to enhance the extracted features by incorporating positional information. …”
Get full text

Adaptive Image Compressive Sensing Using Texture Contrast by Fang Sun, Dongyue Xiao, Wei He, Ran Li

“…The traditional image Compressive Sensing (CS) conducts block-wise sampling with the same sampling rate. …”
Get full text

An Experimental Study on the Compressibility of Clays Reinforced with Basalt Fiber by Yasemin Aslan Topçuoğlu, Zülfü Gürocak

“…The results obtained showed that the basalt fiber ratio at which bentonite can be compressed best is 2.5%, and basalt fiber reinforcement at rates greater than this ratio negatively affects the compressibility.…”
Get full text