Results 111 to 120 of about 9,664,784 (224)

VLSI Design of Neural Networks

, 1991
Ramacher U, Rückert U. VLSI Design of Neural Networks.
Ramacher, Ulrich, Rückert, Ulrich
core  

Advanced quantum computing-driven digital twin for energy and timing optimization in low-power VLSI circuits &IoT devices. [PDF]

Sci Rep
Mujahid MM, Jose D.
europepmc   +1 more source

A Simulation-based Redundancy Identification in Combinational Circuits

, 2009
[[abstract]]©2007 VLSI-Redundancy removal is an important operation in combinational logic optimization. Traditional redundancy identification algorithms are based on automatic test pattern generation algorithms.
Yi-Yuan Huang;Chun-Yao Wang
core  

Robust and compact reversible logic gate for low-power and high-performance computing. [PDF]

Sci Rep
Rajput A, Kumawat R, Srinivasulu A, Sharma J.   +3 more
europepmc   +1 more source

Design of (2, 1, N) parallel convolutional encodes for VLSI

, 2013
The characters of more high speed computing and much less low power dissipation are needed to settle for convolutional encodes. In this paper, we present a parallel method for convolutional encodes with SMIC 0.35μm CMOS technology; hardware design and
Huang XL(黄晓莉), Duan MQ(段茂强)
core  

Resistive switching memristors: structures, materials, fabrication techniques, and process challenges for VLSI integration. [PDF]

RSC Adv
Singla R, Pant D, Nautiyal P, Painuly A.
europepmc   +1 more source

An improved VLSI test economics analysis system

, 2012
[[abstract]]Managers used to consider design for testability (DFT) as an overhead in development and produc- tion rather than an aid. We take a full considera- tion on the relation between DFT methodologies and cost/revenue models, and show that DFT may ...
J.-D. Lin;J.-M. Lu;C.-W. Wu
core  

Low-power design and implementation of an enhanced I2C bus controller using open lane: from RTL to GDSII. [PDF]

Sci Rep
K G, S A, V A, Velmurugan SN, M M.
europepmc   +1 more source

An In-Ear Sleep Modulation SoC Featuring a CNN-LSTM Accelerator with Long-Kernel Memory Reuse and Runtime Dynamic Quantization. [PDF]

Dig Tech Pap (N Y)
Xu Y, Chen X, Hou Y, Xu J, You H, Huang Y, Liu B, Hung A, Richardson AG, Genov R, Liu X.   +10 more
europepmc   +1 more source

Deep learning-based prediction of PFAS toxicity in zebrafish. [PDF]

Sci Rep
Ramasamy K, Nallasamy V.
europepmc   +1 more source