Titlebook: Innovations in Signal Processing and Embedded Systems; Proceedings of ICISP Jyotsna Kumar Mandal,Mike Hinchey,K. Sreenivas Rao Conference p

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Chinthala Akhil,Kalyana Srinivas Kandala,Anudeep Peddi,N. Sudhakar Yadav,T. Srinivasa Rao,I. Neelimal system for many researchers; they are multipotent, ethically and non-controversially available in large numbers, immuno-compatible, developmentally primitive, easy to isolate and have high expansion potential in vitro. However, many controversies still exist in the field. There are several unanswe

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2524-7565 yderabad, India.Serves as a reference resource for researche.This book covers four sections such as artificial intelligence and machine learning; VLSI and signal processing; robotics and automation; and communications and networking. This book is a collection of selected papers presented at the Firs

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Video-Based Abnormal Driving Behavior Detection and Risk Control Using Machine Learning,f vehicle. We have used three deep learning models to detect the behavior of the driver. These three new fusion models help in designing the model building and thus helping in risk control and help traffic department.

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Design and Development of IoT-Based Women Auspice System by Using NodeMCU, their fingers accordingly. The information is then received by the microcontroller, which sends an indication to the chosen mobile device. The user’s location will be tracked before user accesses off the device when recorded. In fact, we used a battery-powered NodeMCU to operate the entire system.

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BTI Reliability Analysis of Low Leakage Fully Half-Select-Robust Free SRAM Design,Therefore, 12TSRAM is a good choice for dependable nano scale design with SRAM variants and an aging impact of the transistor. The proposed 12TSRAM reduces the write delay by over 69%, compared to the 11T-1, about 2 times there arranged. In comparison with existing 11T-1 cells, the suggested 12T cell also demonstrates a 60% lower power usage.

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