Výsledky vyhledávání

Akademický článek

Configurable sparse matrix - matrix multiplication accelerator on FPGA: A systematic design space exploration approach with quantization effects

Autor: G. Noble, S. Nalesh, S. Kala, Akash Kumar

Publikováno v: Alexandria Engineering Journal, Vol 91, Iss , Pp 84-94 (2024)

High-performance sparse matrix multipliers are essential for deep learning applications, and as big data analytics continues to evolve, specialized accelerators are also needed to efficiently handle sparse matrix operations. This paper proposes a mod

Externí odkaz: https://doaj.org/article/b3998b2c00ed448089686c3f1aa0b3fa

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Akademický článek

Variational mode decomposition-based EEG analysis for the classification of disorders of consciousness

Autor: Sreelakshmi Raveendran, Raghavendra Kenchaiah, Santhos Kumar, Jayakrushna Sahoo, M. K. Farsana, Ravindranadh Chowdary Mundlamuri, Sonia Bansal, V. S. Binu, A. G. Ramakrishnan, Subasree Ramakrishnan, S. Kala

Publikováno v: Frontiers in Neuroscience, Vol 18 (2024)

Aberrant alterations in any of the two dimensions of consciousness, namely awareness and arousal, can lead to the emergence of disorders of consciousness (DOC). The development of DOC may arise from more severe or targeted lesions in the brain, resul

Externí odkaz: https://doaj.org/article/ed2a67e3f1a246e68b2a12a11497de8d

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Akademický článek

Phosphorus leaching through column study to evaluate P movement and vertical distribution in black, red and alluvial soils of India

Autor: I. Rashmi, A.K. Biswas, K.S. Kartika, S. Kala

Publikováno v: Journal of the Saudi Society of Agricultural Sciences, Vol 19, Iss 3, Pp 241-248 (2020)

Phosphorus leaching from soils is a major environmental concern leading to eutrophication of water bodies. Three different soil types namely black, red and alluvial soils from Nagpur, Raipur and Kanpur were taken for the study. Soil column leaching e

Externí odkaz: https://doaj.org/article/8628dd5036ba4ab9ba8d0c6ee09b780e

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Akademický článek

Dew trend analysis and its potential implications in rainfed agriculture

Autor: ANITA KUMAWAT, A.K. SINGH, R.K. SINGH, S. KALA, I. RASHMI

Publikováno v: Journal of Agrometeorology, Vol 22, Iss 3 (2020)

Externí odkaz: https://doaj.org/article/d9a43216462c47a6a13e3efa5e54693b

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Akademický článek

AN ALGORITHM FOR GENERATING NATURAL COLOR IMAGES FROM FALSE COLOR USING SPECTRAL TRANSFORMATION TECHNIQUE WITH HIGHER POLYNOMIAL ORDER

Autor: S. Kala, A. Kumar, A. K. Joshi, V. M. Bothale, B. G. Krishna

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-5, Pp 643-648 (2018)

Satellite imageries in True color composite or Natural Color composite (NCC) serves the best combination for visual interpretation. Red, Green and Infrared channels form false color composite which might not be as useful as NCC to a non-remote sensin

Externí odkaz: https://doaj.org/article/1dcbeee1b7c740548e46d66a0c0e579f

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Akademický článek

APPLICATION OF SUPPORT VECTOR MACHINES FOR FODDER CROP ASSESSMENT

Autor: S. Kala, M. Singh, S. Dutta, N. Singh, S. Dwivedi

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-5, Pp 415-420 (2018)

Identification of crop and its accuracy is an important aspect in predicting crop production using Remote Sensing technology. This study investigates the ability of Support Vector Machine (SVM) algorithm in discriminating fodder crops and estimating

Externí odkaz: https://doaj.org/article/1f3b3c5416774f8ab73d1a4c84b42cad

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