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Babita Pandey

Researcher at Babasaheb Bhimrao Ambedkar University

Publications -  115
Citations -  1617

Babita Pandey is an academic researcher from Babasaheb Bhimrao Ambedkar University. The author has contributed to research in topics: Support vector machine & Deep learning. The author has an hindex of 19, co-authored 112 publications receiving 1165 citations. Previous affiliations of Babita Pandey include Indian Institute of Technology Delhi & Central University, India.

Papers
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Sound Classification Using Convolutional Neural Network and Tensor Deep Stacking Network

TL;DR: It is concluded that the proposed approach for sound classification using the spectrogram images of sounds can be efficiently used to develop the sound classification and recognition systems.
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Knowledge and intelligent computing system in medicine

TL;DR: A study of different singular and combined methods applicable to medical domain from mid 1970s to 2008 in tabular form, showing the methods and its salient features, processes and application areas in medical domain.
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KDSAE: Chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network

TL;DR: A novel deep learning framework for chronic kidney disease classification using stacked autoencoder model utilizing multimedia data with a softmax classifier and it was observed that this multimodal model outperformed the other conventional classifiers used for chronic kidneys disease with a classification accuracy of 100%.
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Synthesis and characterization of Ni-doped ZnO: A transparent magnetic semiconductor

TL;DR: In this article, the authors reported synthesis of a transparent magnetic semiconductor by incorporating Ni in zinc oxide (ZnO) matrix and showed that Ni-doped films are ferromagnetic, having coercivity (H c ) values 192, 310 and 100 Oe and saturation magnetization (M s ) values of 6.22, 5.32 and 4.73 e c.
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Study of ZnO and Ni-doped ZnO synthesized by atom beam sputtering technique

TL;DR: In this paper, Ni-doped zinc oxide (ZnO:Ni) films are prepared by atom beam sputtering with an intent of growing transparent conducting oxide (TCO) material and understanding its physical properties.