Titlebook: Innovations in VLSI, Signal Processing and Computational Technologies; Select Proceedings o Gayatri Mehta,Nilmini Wickramasinghe,Deepti Kak

Androgen

Sunita Dhote,Michaelraj Kingston Roberts,K. P. Sridhar

有常識

G. Sakthipriya,Y. Suresh,C. Varnisha,R. Sindhu,R. Shivraj

藕床生厭倦

Ibd810

Manish Prajapati,Santos Kumar Baliarsingh,Jhalak Hota,Prabhu Prasad Dev,Shuvam Das

用樹皮

藥物

SOT-MRAM Memories for Energy Efficient Embedded and AI Applications,omparison to existing technology is established. Our investigations reveal that SOT-MRAM is?~7% faster,?>30% energy efficient and?~40% better in EDP than SRAM technology and therefore can be better choice for modern computing architectures.

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博識

All-,Type Digital Circuits Using Single Gate and Double Gate Organic Field Effect Transistors,ared to SG-OFET are achieved. Furthermore, 2-input NOR gates are also implemented using same inverter circuits and their characteristics are compared. In NOR gate design, DG ZVLL configuration outperforms other configurations.

大氣層

Rotor Unbalance Severity Detection Using Maximum Overlap Discrete Wavelet Transform,ing a publicly available dataset from Fraunhofer Institute for Integrated Circuits. The results show an overall classification accuracy of 97.05% for unbalance severity which is significantly better than other studies using single-sensor data.

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,Self-attention-Based Deep Learning Approach for Machine Translation of?Low Resource Languages: A Caighted summarised to highlight the complete contribution of the proposed model. Comparing this process inputs that are not hybrid, the transformation produced is more exact. A parallel corpus for the Sanskrit-Hindi language pair is created in this study, and the model is assessed using the created c