Quantification and mapping of the carbon sequestration potential of soils via a quantile regression forest model von Dharumarajan, Subramanian, Vasundhara, Ramakrisnappa, Kalaiselvi, Beeman, Lalitha, Manickam, Rameshan, M., Srinivasan, Ramasamy, Karthika, Kavukattu Sreekumar, Sweta, Kumari, Anil Kumar, Kokkuvayil Sankaranarayanan, Hegde, Rajendra

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Unveiling tree diversity and carbon density of homegarden in the Thodupuzha urban region of Kerala, India: a contribution towards urban sustainability von Padmakumar, Babu, Sreekanth, N. P., Shanthiprabha, V., Paul, Joby, Sreedharan, K., Augustine, Toms, Jayasooryan, K. K., Rameshan, M., Arunbabu, V., Mohan, Mahesh, Sylas, V. P., Ramasamy, E. V., Thomas, A. P.

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Tree biomass and carbon density estimation in the tropical dry forest of Southern Western Ghats, India von Padmakumar, B, Sreekanth, NP, Shanthiprabha, V, Paul, J, Sreedharan, K, Augustine, T, Jayasooryan, KK, Rameshan, M, Mohan, M, Ramasamy, EV, Thomas, AP

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High dynamic range imaging under noisy observations von Rameshan, R. M., Chaudhuri, S., Velmurugan, R.

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End to End Deep Neural Network Classifier Design for Universal Sign Recognition von Sengar, Vartika, Rameshan, Renu M., Ponkumar, Senthil

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TRINet: Tracking and Re-identification Network for Multiple Targets in Egocentric Videos Using LSTMs von Nigam, Jyoti, Rameshan, Renu M.

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Simulation of a Vision Correction Display System von Sunil, Vidya, Rameshan, Renu M

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Detection-Based Online Multi-target Tracking via Adaptive Subspace Learning von Nigam, Jyoti, Sharma, Krishan, Rameshan, Renu M.

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G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System von Garg, Aryan, Rameshan, Renu M

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Object Triggered Egocentric Video Summarization von Jain, Samriddhi, Rameshan, Renu M., Nigam, Aditya

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Learning-Based Practical Light Field Image Compression Using A Disparity-Aware Model von Singh, Mohana, Rameshan, Renu M

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Simulation of a Vision Correction Display System von Vidya Sunil, Rameshan, Renu M

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G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System von Garg, Aryan, Rameshan, Renu M

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MOTS R-CNN: Cosine-margin-triplet loss for multi-object tracking von Unde, Amit Satish, Rameshan, Renu M

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Learning-Based Practical Light Field Image Compression Using A Disparity-Aware Model von Singh, Mohana, Rameshan, Renu M

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MaskADNet: MOTS Based on ADNet von Aswath, Anusha, Rameshan, Renu M.

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MOTS R-CNN: Cosine-margin-triplet loss for multi-object tracking von Amit Satish Unde, Rameshan, Renu M

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In situ NAP-XPS spectroscopy during methane dry reforming on ZrO2/Pt(1 1 1) inverse model catalyst von Rameshan, C, Li, H, Anic, K, Roiaz, M, Pramhaas, V, Rameshan, R, Blume, R, Hävecker, M, Knudsen, J, Knop-Gericke, A, Rupprechter, G

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Support effect on the reactivity and stability of Au25(SR)18 and Au144(SR)60 nanoclusters in liquid phase cyclohexane oxidation von García, Clara, Pollitt, Stephan, van der Linden, Marte, Truttmann, Vera, Rameshan, Christoph, Rameshan, Raffael, Pittenauer, Ernst, Allmaier, Günter, Kregsamer, Peter, Stöger-Pollach, Michael, Barrabés, Noelia, Rupprechter, Günther

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The state of zinc in methanol synthesis over a Zn/ZnO/Cu(211) model catalyst von Amann, Peter, Klötzer, Bernhard, Degerman, David, Köpfle, Norbert, Götsch, Thomas, Lömker, Patrick, Rameshan, Christoph, Ploner, Kevin, Bikaljevic, Djuro, Wang, Hsin-Yi, Soldemo, Markus, Shipilin, Mikhail, Goodwin, Christopher M, Gladh, Jörgen, Halldin Stenlid, Joakim, Börner, Mia, Schlueter, Christoph, Nilsson, Anders

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