N. Kannan

12 papers C 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
EMLSCF-FCH: A Secure and Efficient Machine Learning-Based Framework for Fog Computing in Healthcare.
Int. J. Comput. Intell. Syst.
N. Kannan, K. Balasubramanian
2025 J jnl
Enhancing sustainable agriculture using attention convolutional bidirectional Gated recurrent based modified leaf in wind algorithm: Integrating AI and IoT for efficient farming.
Sustain. Comput. Informatics Syst.
V. Sellam, N. Kannan, S. Senthil Pandi, I. Manju
2024 — conf
Harnessing NLP to align Candidate Profile with Position Requirements.
ICCCNT
P. Jayadharshini, S. Karuppusamy, S. Santhiya, J. Rakshitaa, N. Abarna, N. Kannan
2020 J jnl
Reactive Power Loss Reduction in Distribution Network Using Crow Search Optimization and Available Transfer Capability.
J. Circuits Syst. Comput.
N. Kannan, S. Sutha
2019 J jnl
Enhanced spectrum aggregation based frequency-band selection routing protocol for cognitive radio ad-hoc networks.
Concurr. Comput. Pract. Exp.
S. Deva priya, N. Kannan
2017 J jnl
Refined trust energy-ad hoc on demand distance vector (ReTE-AODV) routing algorithm for secured routing in MANET.
Wirel. Networks
Priya Sethuraman, N. Kannan
2009 J jnl
A new integer image coding technique based on orthogonal polynomials.
Image Vis. Comput.
R. Krishnamoorthi, N. Kannan
2008 J jnl
Direct adaptive neural flight control system for an unstable unmanned aircraft.
Appl. Soft Comput.
Suresh Sundaram, N. Kannan
2008 J jnl
Neural Adaptive Control for Vibration Suppression in Composite Fin-Tip of Aircraft.
Int. J. Neural Syst.
Suresh Sundaram, N. Kannan, Narasimhan Sundararajan, Paramasivan Saratchandran
2005 C conf
Nonlinear lateral command control using neural network for F-16 aircraft.
ACC
Suresh Sundaram, N. Kannan, S. N. Omkar, V. Mani
2004 J jnl
Goodness-of-fit tests based on spacings for progressively type-II censored data from a general location-scale distribution.
IEEE Trans. Reliab.
N. Balakrishnan, H. K. T. Ng, N. Kannan
2003 J jnl
Point and interval estimation for Gaussian distribution, based on progressively Type-II censored samples.
IEEE Trans. Reliab.
N. Balakrishnan, N. Kannan, Chien-Tai Lin, H. K. T. Ng