Results 61 to 70 of about 376,317 (337)

Convolution Smooth: A Post-Training Quantization Method for Convolutional Neural Networks

IEEE Access
Convolutional neural network (CNN) quantization is an efficient model compression technique primarily used for accelerating inference and optimizing resources.
Yongyuan Chen, Zhendao Wang
doaj   +1 more source

Prequantization, Geometric Quantization, Corrected Geometric Quantization

Journal of Applied Mathematics and Physics, 2021
A comparison on some facts concerning the geometric quantization of symplectic manifolds is presented here. Criticism, facts and improvements on the sophisticated theory of geometric quantization are presented touching briefly, all the "salient points of the theory". The unfamiliar reader can consider this as a "soft" introduction to the topic.
openaire   +3 more sources

Statistically Resolving Thickness‐Dependent Electrical Characteristics in Multilayer‐MoS2 Transistors

Advanced Functional Materials, EarlyView.
A large number of MoS2 flakes were screened to obtain high‐quality flakes based on optical intensities in R, G, and B channel images. The flakes were classified from Level 1 to 6 based on optical intensities in the R, G, and B channel images. Low‐quality flake exhibited wrinkled, folded, or overlapped features, while high‐quality displayed a neat ...
Sanghyun Lee, Sumin Hong, Minho Park, Seongju Kim, Sanghoon Baek, Seonguk Yang, Chang‐Soo Lee, Sang‐Hoon Bae, Joonki Suh, Yongwoo Lee, Haksoon Jung, Jimin Kwon   +11 more
wiley   +1 more source

Curvature‐Tuned Friction at Electrified Ionic Liquid Interfaces

Advanced Functional Materials, EarlyView.
Graphene curvature plays a key role in friction electrotunability at single‐asperity contacts lubricated by ionic liquids. A 9 nm radius yields stronger tunability than larger radii, with distinct friction coefficients at low and high loads indicating a shift in the slippage plane.
Wei Song, Md Ashiqur Rahman, Qianlu Zheng, Nathaniel Hawthorne, James D. Batteas, Rui Qiao, Rosa M. Espinosa‐Marzal   +6 more
wiley   +1 more source

Comprehensive Analysis of Quantization Effects on Digital-Controlled Adaptive Self-Interference Cancellation System

IEEE Access, 2020
A digital-controlled adaptive self-interference cancellation system with capabilities of high interference cancellation ratio and strong environmental applicability is presented.
Jinling Xing, Songhu Ge, Yongcai Liu, Zhongpu Cui, Jin Meng   +4 more
doaj   +1 more source

Functional Schroedinger and BRST Quantization of (1+1)--Dimensional Gravity

, 1996
We discuss the quantization of pure string--inspired dilaton--gravity in $(1+1)$--dimensions, and of the same theory coupled to scalar matter. We perform the quantization using the functional Schroedinger and BRST formalisms.
A. Barvinsky, A. Bilal, A. J. Niemi, A. Polyakov, B. Lian, C. Callan, D. Amati, D. Cangemi, D. Cangemi, D. Cangemi, D. Louis-Martinez, E. Benedict, H. -J. Lee, H. Arisue, H. Neuberger, H. Verlinde, J. Hartle, K. Kuchař, K. Kuchař, K. Kuchař, N. Seiberg, P. Bouwknegt, R. Floreanini, R. Jackiw, R. Jackiw, S. Hirano, T. Strobl, Y. Kazama   +27 more
core   +1 more source

Spin and Charge Control of Topological End States in Chiral Graphene Nanoribbons on a 2D Ferromagnet

Advanced Materials, EarlyView.
Chiral graphene nanoribbons on a ferromagnetic gadolinium‐gold surface alloy display tunable spin and charge states at their termini. Atomic work function variations and exchange fields enabe transitions between singlet, doublet, and triplet configurations.
Leonard Edens, Francisco Romero‐Lara, Trisha Sai, Kalyan Biswas, Manuel Vilas‐Varela, Thomas Frederiksen, Diego Peña, Fabian Schulz, Jose Ignacio Pascual   +8 more
wiley   +1 more source

Efficient Deep Learning Model Compression for Sensor-Based Vision Systems via Outlier-Aware Quantization

Sensors
With the rapid growth of sensor technology and computer vision, efficient deep learning models are essential for real-time image feature extraction in resource-constrained environments.
Joonhyuk Yoo, Guenwoo Ban
doaj   +1 more source

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

Advanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades, Pedro Hidalgo, David Maestre, Ruth Martínez‐Casado, Emilio Nogales, Beatriz Rodríguez, G. Cristian Vásquez, Bianchi Méndez   +7 more
wiley   +1 more source

Frequency Spectrum Based Low-Area Low-Power Parallel FIR Filter Design

EURASIP Journal on Advances in Signal Processing, 2002
Parallel (or block) FIR digital filters can be used either for high-speed or low-power (with reduced supply voltage) applications. Traditional parallel filter implementations cause linear increase in the hardware cost with respect to the block size ...
Parhi Keshab K, Chung Jin-Gyun
doaj   +1 more source