Physical & Applied Sciences: Recent submissions

  • Study of Structural, Magnetic and Transport Properties of Transition Metal Based Double Perovskites 
    Ganorkar, S.
  • Development of soft-core system for estimation of blood haemoglobin 
    Pinto, C.F.; Parab, J.S.; Naik, G.M. (3. IEEE Int. Conf. for Convergence in Technology (I2CT), Pune, India, 6-8 Apr 2018. 2018; 4pp.)
    This paper is about designing of NIOS II soft-core processor system for blood Haemoglobin estimation. In today's world the Monitoring Haemoglobin is very important in hospitals to keep track of low haemoglobin count during ...
  • Artificial neural network modeling of Ni sub(x)Mn sub(x)O sub(x) based thermistor for predicative synthesis and characterization 
    Dongale, T.D.; Kharade, K.G.; Mullani, N.B.; Naik, G.M.; Kamat, R.K. (Journal of Nano- and Electronic Physics. 9(3); 2017; ArticleID_03042.)
    As foremost sensors of ambient conditions, temperature sensors are regarded as the most vital ones in wide-ranging applications touching the societal life. Amongst the temperature sensors, NTC thermistors have captured ...
  • Glucose signal estimation using high performance ADC and lightprobes 
    Sequeira, M.; Parab, J.S.; Gad, R.S.; Naik, G.M. (International Journal of Researches in Biosciences, Agriculture and Technology . 5(3); 2017; 162-165.)
    A need is felt in recent times to depart from invasive methods of glucose estimation and to adopt noninvasive approaches which are basically harmless in nature. These techniques are more attractive as they surpass the ...
  • Cluster mean field theory for 2-dimensional spin-1 Bose Hubbard model 
    Alavani, B.K.; Das, A.; Pai, R.V. (Journal of Physics B: Atomic, Molecular and Optical Physics. 51(14); 2018; ArticleID_145302.)
    The Cluster Mean Field Theory(CMFT) for 2-dimensional Spin-1 Bose-Hubbard model is applied to study the superfluid (SF) to Mott insulator (MI) phase transitions and various magnetic phases, that arise in the presence of ...
  • Role of local structural distortion in driving ferroelectricity in GdCrO sub(3) 
    Mahana, S.; Manju, U.; Nandi, P.; Welter, E.; Priolkar, K.R.; Topwal, D. (Physical Review B. 97(22); 2018; ArticleID_224107.)
    Temperature-dependent synchrotron x-ray diffraction and extended x-ray absorption fine structure (EXAFS) studies were performed to understand the role of structural characteristics in driving the magnetoelectric multiferroic ...
  • Use of reverse cross-polarization for editing solid-state proton NMR spectra 
    LokeswaraRao, P.; Reddy, Y.J.; Pahari, B.; Ramanathan, K.V. (Journal of Molecular Structure. 1168; 2018; 49-55.)
    We present here the use of the cross-polarization - reverse cross-polarization (CP-RCP) method for editing proton spectra by identifying protons attached exclusively to a nucleus such as carbon or nitrogen. Experiments ...
  • Collaborative representation of Grassmann manifold projection metric for robust multi-spectral face recognition 
    Vetrekar, N.; Raja, K.B.; Raghavendra, R.; Gad, R.S.; Busch, C. (Int. Conf. on Security of Information and Network (SIN), Jaipur. 2017; 8pp.)
    Spectral face recognition is gaining importance as the information from different bands can lead to robust face representation that are presentation (a.k.a, spoofing) attack resistant. However, the key challenge here is ...
  • Extended multi-spectral imaging for gender classification based on image set 
    Vetrekar, N.; Raja, K.B.; Raghavendra, R.; Gad, R.S.; Busch, C. (Int. Conf. on Security of Information and Network (SIN), Jaipur. 2017; 6pp.)
    Gender prediction based on facial features has received significant attention in computer vision and biometric community. Most of the gender classification studies mainly focused there attention on approaches that operate ...
  • Wavelet transform based microarray image de-noising 
    Patil, S.; Naik, G.M.; Pai, K.R.; Gad, R.S. (International Journal of Emerging Technology and Advanced Engineering. 7(8); 2017; 137-139.)
    Accuracy of microarray gene expression based cancer classification depends on microarray image processing techniques. Image de-noising is one of the crucial step of the microarray image processing. Better the quality of ...

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