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Compressing the inert doublet model [PDF]
Physical Review D, 2016 The Inert Doublet Model relies on a discrete symmetry to prevent couplings of the new scalars to Standard Model fermions. This stabilizes the lightest inert state, which can then contribute to the observed dark matter density. In the presence of additional approximate symmetries, the resulting spectrum of exotic scalars can be compressed.
Blinov, Nikita +3 more
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Finite element modeling of fracture compression by compression plates
Journal of Orthopaedic Research, 2023 AbstractDynamic compression plating is a common type of fracture fixation used to compress between bone fragments. The quality of compression across the fracture is important for postoperative stability and primary bone healing. Compression quality may be affected by surgical variations in plate prebend, screw location, screw torque, fracture gap, and ...
Hwabok Wee +2 more
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A Neural Network Model Compression Approach Based on Deep Feature Map Transfer
IEEE Access, 2020 Neural network is widely used in computer vision. However, with the continuous expansion of the application field, high-precision large parameter neural network model is difficult to deploy on small equipment with limited resources.
Zhibo Guo +4 more
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SANA: Sensitivity-Aware Neural Architecture Adaptation for Uniform Quantization
Applied Sciences, 2023 Uniform quantization is widely taken as an efficient compression method in practical applications. Despite its merit of having a low computational overhead, uniform quantization fails to preserve sensitive components in neural networks when applied with ...
Mingfei Guo, Zhen Dong, Kurt Keutzer
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A model for rockfill compressibility [PDF]
Géotechnique, 2001 The paper presents a macroscopic constitutive model for rockfill that includes the effect of water on compressibility and collapse phenomena. Breakage of rock particles and fracture propagation are basic underlying mechanisms controlled by the relative humidity of the air filling the rockfill voids.
Oldecop, Luciano A. +1 more
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Filter Pruning with Convolutional Approximation Small Model Framework
Computation, 2023 Convolutional neural networks (CNNs) are extensively utilized in computer vision; however, they pose challenges in terms of computational time and storage requirements. To address this issue, one well-known approach is filter pruning.
Monthon Intraraprasit +1 more
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Mathematics, 2023 Among various network compression methods, network pruning has developed rapidly due to its superior compression performance. However, the trivial pruning threshold limits the compression performance of pruning.
Yunlong Ding, Di-Rong Chen
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IEEE AccessModel Compression is an actively pursued research field in recent years with the goal of deploying state-of-the-art deep neural networks. It is targeted to implementations which are based on power constrained and resource limited devices as the reduced ...
Danhe Tian +2 more
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IEEE Access, 2020 The enormous inference cost of deep neural networks can be mitigated by network compression. Pruning connections is one of the predominant approaches used for network compression.
Sai Aparna Aketi +3 more
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Compressed Context Modeling for Text Compression
2011 Data Compression Conference, 2011 In text compression, statistical context modeling aims to construct a model to calculate the probability distribution of a character based upon its context. The order -- $k$ context of a symbol is defined as the string formed by its preceding $k$ symbols.
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