G. Krishna - researchr alias

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2024

Optimising carbon fixation through agroforestry: Estimation of aboveground biomass using multi-sensor data synergy and machine learningR. K. Singh, C. M. Biradar, Mukunda Dev Behera, A. Jaya Prakash, P. Das, M. R. Mohanta, G. Krishna, A. Dogra, S. K. Dhyani, J. Rizvi. ecoi, 79:102408, March 2024. [doi]

2019

Method of deflection corrected tonometry with phantom vessel experimentsG. Drzewiecki, G. Krishna, H. Katta. cbm, 104:329-334, 2019. [doi]

Nanobots for Biomedical ApplicationsG. Krishna, Lourde R. Mary, Keerthi Jerome. icbet 2019: 270-279 [doi]

2O deep learning platformK. B. Sundhara Kumar, G. Krishna, N. Bhalaji, Chithra Selvaraj. cee, 74:547-556, 2019. [doi]

1994

An effective clustering technique for feature extractionV. Ramdas, V. Sridhar, G. Krishna. prl, 15(9):885-891, 1994. [doi]

1992

Vector-extrapolated fast maximum likelihood estimation algorithms for emission tomographyNallakkandi Rajeevan, Kasi Rajgopal, G. Krishna. tmi, 11(1):9-20, 1992. [doi]

Time-normalization techniques for speaker-independent isolated word recognitionS. Uma, V. Sridhar, G. Krishna. icpr 1992: 537-540 [doi]

1991

An O-O Approach Toward Semantic Interpretation of Indian LanguagesP. Nagvar, V. Sridhar, G. Krishna. TOOLS 1991: 181-194

1990

A knowledge-based approach to pattern generationB. Shekar, M. Narasimha Murty, G. Krishna. PR, 23(11):1299-1306, 1990. [doi]

The Function-Acquisition Paradigm in a Knowledge-Based Concept-Synthesis EnvironmentB. Shekar, M. Narasimha Murty, G. Krishna. alt 1990: 97-108

1989

Structural aspects of semantic-directed clustersB. Shekar, M. Narasimha Murty, G. Krishna. PR, 22(1):65-74, 1989. [doi]

Knowledge-based learning using Conceptual TransformersB. Shekar, M. Narasimha Murty, G. Krishna. jirs, 2(4):361-379, 1989. [doi]

A logical model for decision-makingV. Sridhar, N. Narasimha Murty, G. Krishna. SMC 1989: 1142-1147 [doi]

1987

A knowledge-based clustering schemeB. Shekar, M. Narasimha Murty, G. Krishna. prl, 5(4):253-259, 1987. [doi]

Pattern Clustering: An Artificial Intelligence ApproachB. Shekar, M. Narasimha Murty, G. Krishna. IJCAI 1987: 214-216

1981

A hybrid clustering procedure for concentric and chain-like clustersM. Narasimha Murty, G. Krishna. ijpp, 10(6):397-412, 1981. [doi]

1980

A computationally efficient technique for data-clusteringM. Narasimha Murty, G. Krishna. PR, 12(3):153-158, 1980. [doi]

1979

The condensed nearest neighbor rule using the concept of mutual nearest neighborhood (Corresp.)K. Chidananda Gowda, G. Krishna. TIT, 25(4):488-490, 1979. [doi]

Learning with a mutualistic teacherK. Chidananda Gowda, G. Krishna. PR, 11(5-6):383-390, 1979. [doi]

An algorithm to detect linearly separable clusters of binary patternsC. S. Warnekar, G. Krishna. PR, 11(2):109-114, 1979. [doi]

A heuristic clustering algorithm using union of overlapping pattern-cellsC. S. Warnekar, G. Krishna. PR, 11(2):85-93, 1979. [doi]

1978

Agglomerative clustering using the concept of mutual nearest neighbourhoodK. Chidananda Gowda, G. Krishna. PR, 10(2):105-112, 1978. [doi]

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