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Browsing Electronics by Title

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  • ASIC for Biomedical Applications 
    Ulman, Shrutin A.
  • Assessment of the fetal health using NI-aECG 
    Marchon, N.; Naik, G.M. (Advanced Computational and Communication Paradigms, Ed. by: Bhattacharyya S., Gandhi T., Sharma K., Dutta P. Lecture Notes in Electrical Engineering. Springer, Singapore. 475; 2018; 360-368.)
    Accurate extraction of the fetal QRS (FQRS) complex extracted from the maternal abdominal ECG (aECG) has become a very important clinical procedure to evaluate the well-being of the fetus. Fetal heart rate (FHR) obtained ...
  • Autonomic nervous system for sympathetic and parasympathetic for cardiac event coherence 
    Tavares, N.G.; Gad, R.S.; Hernandez, A.M.; Kakodkar, U.; Naik, G.M. (Cognitive Informatics and Soft Computing, Ed. by: Mallick, P.; Balas, V.; Bhoi, A. and Zobaa, A. Advances in Intelligent Systems and Computing, 768. Springer, Singapore. 768; 2019; 781-794.)
    Human body physiology is regulated through the central neural control (CNS) which takes signal from the respiratory system and ambiance which signifies atmospheric pressure, temperature and various gases in the environment. ...
  • Back-Propagation Neural Network (BP-NN) model for the detection of borer pest attack 
    Prabhu, Y.; Parab, J.S.; Naik, G.M. (Journal of Physics: Conference Series. 1921; 2021; ArticleID_012079.)
    The multi-disciplinary agri-technologies domain have paved a way to the big data technologies, through Machine learning. Pest management is one of the most important problems facing farmers. A normal human monitoring cannot ...
  • Backpropagation neural network-based machine learning model for prediction of blood urea and glucose in CKD patients 
    Parab, J.S.; Sequeira, M.; Lanjewar, M.; Pinto, C.; Naik, G.M. (IEEE Journal of Translational Engineering in Health and Medicine. 9; 2021; ArticleID_4900608.)
    Diabetes mellitus and its complication such as heart disease, stroke, kidney failure, etc. is a serious concern all over the world. Hence, monitoring some important blood parameters non-invasively is of utmost importance, ...
  • Band level fusion using quaternion representation for extended multi-spectral face recognition 
    Vetrekar, N.; Raja, K.B.; Raghavendra, R.; Gad, R.S.; Busch, C. (20. Int. Conf. on Information Fusion (Fusion), China. 10-13 Jul 2017. IEEE.. 2017; 6pp.)
    With the availability of sensor technology across the broad electromagnetic spectrum, multi-spectral imaging is increasingly used in biometric systems. Especially for face recognition, multi-spectral imaging has gained a ...
  • Building embedded systems using soft IP cores 
    Parab, J.S.; Gad, R.S.; Naik, G.M. (Hands-on Experience with Altera FPGA Development Boards by Jivan S. Parab; Rajendra S. Gad; G.M. Naik. Springer (India) Pvt. Ltd. 2018; 73-78.)
    This chapter makes reader aware of embedded soft core processors, their concepts, comparisons of various soft cores from various FPGA manufactures, etc. Here, we have emphasized on Altera Nios II soft core processor. The ...
  • Building simple applications with FPGA 
    Parab, J.S.; Gad, R.S.; Naik, G.M. (Hands-on Experience with Altera FPGA Development Boards by Jivan S. Parab; Rajendra S. Gad; G.M. Naik. Springer (India) Pvt. Ltd. 2018; 39-72.)
    This chapter gives the detailed implementation steps of six digital logic design applications such as multiplexer/demultiplexer, encoder/decoder, shift register, counter, memory, and traffic light controller. Here, the ...
  • Case studies using Altera Nios II 
    Parab, J.S.; Gad, R.S.; Naik, G.M. (Hands-on Experience with Altera FPGA Development Boards by Jivan S. Parab; Rajendra S. Gad; G.M. Naik. Springer (India) Pvt. Ltd. 2018; 103-150.)
    This chapter will further boost the interest as it covers lots of interesting case studies designed around Nios II soft core processor such as blinking of LEDs in different patterns, displaying scrolling text on LCD, ...
  • Cloud-based COVID-19 disease prediction system from X-Ray images using convolutional neural network on smartphone 
    Lanjewar, M.; Shaikh, A.Y.; Parab, J.S. (Multimedia Tools and Applications. 82(19); 2023; 29883-29912.)
    COVID-19 has engulfed over 200 nations through human-to-human transmission, either directly or indirectly. Reverse Transcription-polymerase Chain Reaction (RT-PCR) has been endorsed as a standard COVID-19 diagnostic procedure ...
  • CNN with machine learning approaches using ExtraTreesClassifier and MRMR feature selection techniques to detect liver diseases on cloud 
    Lanjewar, M.; Parab, J.S.; Shaikh, A.Y.; Sequeira, M. (Cluster Computing. 26(6); 2022; 3657-3672.)
    Liver disease is a significant global burden on health, with about a few hundred million people suffering from chronic liver disease (CLD), with approximately 2 million deaths each year. Liver diseases are tough to identify ...
  • Coconut climbing machine 
    Afonso, V.; Pednekar, A.; Naik, N.; Gad, R.S.; Parab, J.S.; Naik, G.M. (9. Nat. Symp. VLSI and Embedded System, 11 April 2015. Carmel College, Nuvem, Goa. 2015; 46-50.)
  • Collaborative representation for visible to band gender classification using multi-spectral imaging: Extensive evaluations by exploring 22 photometric normalization methods 
    Vetrekar, N.T.; Naik, A.; Gad, R.S. (SN Computer Science. 2(6); 2021; ArticleID_478.)
    Facial biometric trait based on visible spectrum have been widely studied for gender classification in recent times due to its non-intrusive nature of image capture in a covert manner. Recently, with the advancement in ...
  • Collaborative representation of convolutional neural network features to detect artificial ripening of banana using multispectral imaging 
    Vetrekar, N.T.; Prabhu, A.K.; Naik, A.; Ramachandra, R.; Raja, K.B.; Desai, A.R.; Gad, R.S. (Journal of Food Processing and Preservation. 46(10); 2022; ArticleID_e16882.)
    With the increasing demand for fruits in the consumer market and to fulfill the needs of consumers, fruits are deliberately resorted to ripen artificially using industrial-grade Calcium Carbide (CaC sub(2)) which has ...
  • 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 ...
  • Collaborative representation with hole filling techniques for Kinect RGB-D face recognition 
    Gaonkar, A.A.; Vetrekar, N.T.; Gad, R.S. (International Journal of Biometrics. 15(2); 2023; 170-193.)
    We present in this paper, three different filtering techniques based on kernel function to fill missing information in depth map images obtained from low resolution sensor such as Kinect to improve the performance accuracy ...
  • Comparative studies for multivariate model of human blood tissue using gaussian and lorentz oscillators and analysis using PLS regression 
    Parab, J.S.; Gad, R.S.; Naik, G.M.; Vetrekar, N. (International Journal of Electrical and Electronics Engineering Research (IJEEER). 3(2); 2013; 1-8.)
    The paper presents the modeling of the Multivariate model of the Human blood tissue using Gaussian and Lorentz Oscillators. The authors have demonstrated the spectroscopic modeling of the tissue in the region of near ...
  • A concise review of NIFECG extraction techniques to monitor fetal distress 
    Marchon, N.; Naik, G.M. (13. Int. IEEE India Conf. 16-18 Dec 2016, IISc, Bangalore. 2016; 6pp.)
    Non-Invasive Fetal Electrocardiogram (NIFECG) obtained from the abdominal Electrocardiogram (aECG) of a pregnant woman is an efficient clinical tool for supporting and evaluating the fetal distress along with the conventional ...
  • Configurable CRC error detection model for performance analysis of polynomial: Case study for the 32-Bits ethernet protocol 
    Gad, V.R.; Gad, R.S.; Naik, G.M. (Internet of Things, Smart Spaces, and Next Generation Networks and Systems. Proc. 15. Int. Conf., NEW2AN-2015, and 8. Conf. ruSMART-2015. Ed. by: Sergey Balandin, Sergey Andreev, Yevgeni Koucheryavy. Lecture Notes in Computer Science. 9247; Springer. 2015; 529-542.)
    Almost every form of digital information exchange can introduce communication errors. In order to overcome the inherent inaccuracy of information transmission, a few methods for error detection and correction have been ...
  • Convolutional Neural Networks based classifications of soil images 
    Lanjewar, M.; Gurav, O.L. (Multimedia Tools and Applications. 81(7); 2022; 10313-10336.)
    The utilization of Artificial Intelligence (AI) and Machine Learning(ML) in the image processing domain is useful to detect and recognize the types of soil. The main aim of the present work is to process the soil images ...

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