In most cases, to see the figures, consult the printed versions of the papers
Augmented watermarking,
(with Kiranmayi Penumarthi). Cryptologia, vol. 30, 2006.
Watermarking using decimal sequences,
Text compression using instantaneously trained neural networks,
2001 (with Vishweshwar Reddy Admal).
Fast classification networks for signal processing, Circuits Systems Signal Processing, vol 21, 2002, pp. 207-224. (with K.W. Tang)
A neural network-based intelligent metasearch
engine.
Better web searches and faster prediction using instantaneously
trained neural networks.
General qubit errors cannot be corrected.
Information Sciences, vol. 152, pp. 195-202, 2003.
Statistical constraints in starting a quantum computation.
Pramana, vol. 57, pp. 683-688, 2001.
Rotating a qubit.
Information Sciences, vol. 128, pp. 149-154, 2000.
The initialization problem in quantum computing.
Foundations of Physics, vol. 29, 1999, pp. 267-279.
Quantum computing and AI.
IEEE Intelligent Systems, 1999.
Information, physics and computation.
Speed of computation and simulation. Foundations of Physics, vol. 26, 1996, pp. 1375-1386.
Quantum information in a distributed apparatus.
Recent arXiv papers by me.
A class of instantaneously trained neural networks,
Information Sciences, Vol. 148, pp. 97-102, 2002.
Active agents, intelligence and quantum computing,
Information Sciences, Vol. 128, pp. 1-18, 2000.
Can we have different levels of artificial intelligence?
The three languages of the brain: quantum, reorganizational,
and associative.
Learning and Self-Organization,
edited by Karl H. Pribram and Robert King, Lawrence Erlbaum
Associates, 1996, pp. 185-219.
On generalization by neural networks.
Inverse kinematics in robotics using
neural networks
Speech Encryption using Waveform Scrambling,
Bell System Technical Journal, vol. 56, 1977, pp. 781-808.
Encryption and Error-Correction Using D Sequences,
IEEE Trans. Computers, vol. C-34, 1985, pp. 803-809.
Computational Aspects of the Aryabhata Algorithm,
Indian J. of History of Science, vol. 21, 1986, pp. 62-71.
The Paninian Approach to Natural Language Processing,
Int. J. of Approx. Reasoning, vol. 1, 1987, pp. 117-130.
Information associated with an Object,
Proc. Indian National Science Academy, vol. 50, 1984, pp. 386-396.