Vijay Kakani

TL;DR: This paper investigates various scenarios and use cases of machine learning, machine vision and deep learning in global perspective with the lens of sustainability, and discusses the possibility of using Fourth Industrial Revolution [4.0 IR] technologies such as deep learning and computer vision robotics as a key for sustainable food production.

TL;DR: In this article, a carbon composite with hetero atom (N) doped graphene (CuO/NiO/N-rGO) was successfully synthesized by probe sonication assisted solvothermal procedure and used as active electrodes in supercapacitor application.

TL;DR: In this paper, a composite material consisting of carboxymethyl cellulose (CMC) with CuO@MnO2 is synthesized via thermal reduction protocol, which exhibited unique morphology and excellent electrochemical properties.

TL;DR: In this article, a novel nanohybrid composite containing nitrogen-doped multiwalled carbon nanotubes/carboxymethylcellulose (N-MWCNT/CMC) was synthesized for supercapacitor applications.

TL;DR: For a better performance validation of the proposed self-calibration method on a real-time ADAS platform, a pragmatic approach of qualitative analysis has been conducted through streamlining high-end vision-based tasks such as object detection, localization, and mapping, and auto-parking on undistorted frames.