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Identifying Fagaceae and Lauraceae species using leaf images and convolutional neural networks.

, , , , , and . Ecol. Informatics, (2022)

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Capacity-Achieving Codes with Bounded Graphical Complexity on Noisy Channels, and . CoRR, (2005)Capacity Achieving LDPC Codes Through Puncturing., and . IEEE Trans. Inf. Theory, 54 (10): 4698-4706 (2008)Capacity-achieving codes with bounded graphical complexity and maximum likelihood decoding., and . IEEE Trans. Inf. Theory, 56 (3): 992-1006 (2010)A High Quality Reversible Data Hiding Method Using Interpolation Technique., and . IAS, page 603-606. IEEE Computer Society, (2009)Maximum likelihood decoding of trellis codes in fading channels with no receiver CSI is a polynomial-complexity problem., and . ISIT, page 147. IEEE, (2004)Asymptotic weight distributions of irregular repeat-accumulate codes., and . GLOBECOM, page 5. IEEE, (2005)Differentiating between morphologically similar species in genus Cinnamomum (Lauraceae) using deep convolutional neural networks., , , , and . Comput. Electron. Agric., (2019)Determining natural and accessible gestures using uncontrolled manifolds and cybernetics., , , and . IROS, page 4078-4083. IEEE, (2015)Subexponential-complexity exact sequence detection in the presence of frequency and phase uncertainty., and . ICC, page 499-503. IEEE, (2004)Design and analysis of joint data detection and frequency/phase estimation algorithms., and . IEEE J. Sel. Areas Commun., 23 (9): 1707-1717 (2005)