Search Results - "Bose, Subhash"

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    ASASSN-18tb: a most unusual Type Ia supernova observed by TESS and SALT by Vallely, P J, Fausnaugh, M, Jha, S W, Tucker, M A, Eweis, Y, Shappee, B J, Kochanek, C S, Stanek, K Z, Chen, Ping, Dong, Subo, Prieto, J L, Sukhbold, T, Thompson, Todd A, Brimacombe, J, Stritzinger, M D, Holoien, T W-S, Buckley, D A H, Gromadzki, M, Bose, Subhash

    “…ABSTRACT We present photometric and spectroscopic observations of the unusual Type Ia supernova ASASSN-18tb, including a series of Southern African Large…”
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    Photometric and polarimetric observations of fast declining Type II supernovae 2013hj and 2014G by Bose, Subhash, Kumar, Brijesh, Misra, Kuntal, Matsumoto, Katsura, Kumar, Brajesh, Singh, Mridweeka, Fukushima, Daiki, Kawabata, Miho

    “…We present broad-band photometric and polarimetric observations of two Type II supernovae (SNe) 2013hj and 2014G. SN 2014G is a spectroscopically classified…”
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    A neural network model for the numerical prediction of the diameter of electro-spun polyethylene oxide nanofibers by Sarkar, Kamal, Ghalia, Mounir Ben, Wu, Zhenhua, Bose, Subhash C.

    Published in Journal of materials processing technology (01-04-2009)
    “…This paper investigates the viability of neural network as a tool for predicting the diameter of fiber formed by an electrospinning process. Published…”
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    Light curve and spectral evolution of the Type IIb supernova 2011fu by Kumar, Brajesh, Pandey, S. B., Sahu, D. K., Vinko, J., Moskvitin, A. S., Anupama, G. C., Bhatt, V. K., Ordasi, A., Nagy, A., Sokolov, V. V., Sokolova, T. N., Komarova, V. N., Kumar, Brijesh, Bose, Subhash, Roy, Rupak, Sagar, Ram

    “…We present the low-resolution spectroscopic and UBVRI broad-band photometric investigations of the Type IIb supernova (SN) 2011fu, discovered in UGC 01626. The…”
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    Study of processing variables on the electrical resistivity of conductive adhesives by Wu, Zhenhua, Li, Jianzhi, Timmer, Douglas, Lozano, Karen, Bose, Subhash

    “…In this paper, the authors explored the effects of processing variables, including carbon nanotube (CNT) concentration, assembly pressure, and processing…”
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    Preparation and In Vitro Evaluation of Ibuprofen Spherical Agglomerates by Ravouru, Nagaraju, Penjuri, Subhash Chandra Bose, Damineni, Saritha, Muni, Raja Lakshmi, Poreddy, Srikanth Reddy

    Published in Turkish journal of pharmaceutical sciences (01-04-2018)
    “…Ibuprofen, an anti-inflammatory drug, is characterized by poor water solubility, which limits its pharmacologic effects. The present work aimed to the study…”
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    Effect of fiber tension on physical and mechanical properties of filament wound carbon/epoxy composite specimen by Sinha, Surjeet Kumar, Buragohain, Manoj Kumar, Bose, P Subhash Chandra

    Published in Sadhana (Bangalore) (25-03-2024)
    “…Composite pressure vessels and shells for aerospace applications demand enhanced structural performance with lesser inert mass. Optimum fiber tension during…”
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    Is serum retinol binding protein-4: A predictor for diabetes in genetically high risk population? by Bose, K Subhash Chandra, Gupta, Shachin K, Singh, Sandeep

    Published in Journal of research in medical sciences (01-11-2012)
    “…Retinol binding protein-4 (BP-4) a new adipocytokine, specifically binds to retinol, through experimental studies, reported its link between obesity and…”
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    Generation and optimization of lattice structure on a spur gear by Kulangara, Arun J., Rao, C.S.P., Subhash Chandra Bose, P.

    Published in Materials today : proceedings (2018)
    “…This paper deals with the generation and optimization of lattice structure on a spur gear considering weight reduction of the gear as primary objective within…”
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    Comparative Analysis of RSM, ANN and ANFIS Techniques in Optimization of Process Parameters in Laser Assisted Turning of NITINOL Shape Memory Alloy by Naresh, Chakala, Sameer, M. D., Bose, P. Subhash Chandra

    “…The increasing demand for orthogonal cutting in the machining of difficult-to-cut materials may be ascribed to its superior benefits. These advantages can be…”
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    An integrated cloud system based serverless android app for generalised tractor drawbar pull prediction model using machine learning by Nagar, Harsh, Machavaram, Rajendra, Ambuj, Soni, Peeyush, Saha, Subhajit, Bose, T. Subhash Chandra

    Published in Systems science & control engineering (31-12-2024)
    “…Knowing tractor drawbar pull is crucial to ensure the tractor can handle the required workload efficiently and safely, preventing soil damage and optimising…”
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