An illustration of a human-AI conversation

Authors

  • PAWAN WHIG

Abstract

AI-informed decision-making results to ensure that casualties will be either minimised or completely avoided and that the rescuers on the ground may be led in the best direction. In this work, we investigate the viability of our autonomous drone-based AI target detection system as a means of assessing the categorization accuracy of several targets-of-interest. This study's main objective is to comprehend how AI-driven autonomous systems might be used as a supportive tool for effective, quick, and accurate decision-making, traversing a challenging environment, and identifying targets.

References

Whig, P., & Ahmad, S. N. (2011a). On the performance of ISFET-based device for water quality monitoring. Int’l J. of Communications, Network and System Sciences, 4(11), 709.

Whig, P., & Ahmad, S. N. (2012a). A CMOS integrated CC-ISFET device for water quality monitoring. International Journal of Computer Science Issues, 9(4), 1694–1814.

Whig, P., & Ahmad, S. N. (2012f). Performance analysis of various readout circuits for monitoring quality of water using analog integrated circuits. International Journal of Intelligent Systems and Applications, 4(11), 103.

Published

2012-08-17

How to Cite

WHIG, P. (2012). An illustration of a human-AI conversation. International Journal of Statistical Computation and Simulation, 4(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/175

Issue

Section

Articles