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ACM/IEEE 43rd Annual International Symposium on…
A number of recent efforts have attempted to design accelerators for popular machine learning algorithms, such as those involving convolutional and deep neural networks (CNNs and DNNs). These… Continue Reading
Abstract As a potential alternative to CMOS technology, Quantum-dot Cellular Automata (QCA) promises efficient digital design with high device density and low power dissipation in the future. This… Continue Reading
This paper presents a method to compute the largest sphere inside the position-workspace of a semi-regular Stewart platform manipulator , that is free of gain-type singularities. The sphere is… Continue Reading
Many recent works take advantage of highly parallel analog in-situ computation in memristor crossbars to accelerate the many vector-matrix multiplication operations in deep neural networks (DNNs).… Continue Reading
This work targets the design of a multiplexer in multilayer QCA (Quantum-dot Cellular Automata) framework. The proposed multiplexer satisfies the requirement of high device density as well as… Continue Reading
International Conference on Current Trends in…
This paper presents a practical implementation model for simulating the pitching and yawing motions of an autonomous underwater vehicle (AUV) and its consequent control using an ARM based SBC… Continue Reading
Precision Medicine will rely on frequent genomic analysis, especially for patients undergoing cancer treatments or suffering from rare diseases. Sequence alignment is invoked in multiple stages of… Continue Reading