Search Results - "Anami, S"

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  1. 1

    Deep learning approach for recognition and classification of yield affecting paddy crop stresses using field images by Anami, Basavaraj S., Malvade, Naveen N., Palaiah, Surendra

    “…On-time recognition and early control of the stresses in the paddy crops at the booting growth stage is the key to prevent qualitative and quantitative loss of…”
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    Journal Article
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    Classification of yield affecting biotic and abiotic paddy crop stresses using field images by Anami, Basavaraj S., Malvade, Naveen N., Palaiah, Surendra

    Published in Information processing in agriculture (01-06-2020)
    “…On-time recognition and early control of the stresses in the paddy crops at the booting growth stage is the key to prevent qualitative and quantitative loss of…”
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    Journal Article
  3. 3

    Diabetic foot ulcer detection using deep learning approaches by Thotad, Puneeth N., Bharamagoudar, Geeta R., Anami, Basavaraj S.

    Published in Sensors international (2023)
    “…The most recurrent side effect of diabetes is diabetic foot ulcers and if unattended cause imputations. Diabetic feet affect 15% to 25% of diabetic people…”
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  4. 4

    Fractals based multi-oriented text detection system for recognition in mobile video images by Shivakumara, Palaiahnakote, Wu, Liang, Lu, Tong, Tan, Chew Lim, Blumenstein, Michael, Anami, Basavaraj S.

    Published in Pattern recognition (01-08-2017)
    “…•Fractal property, such as self-similarity has been explored for text detection.•Fractal expansion is explored further for detecting text candidates.•Optical…”
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  5. 5

    Automated recognition and classification of adulteration levels from bulk paddy grain samples by Anami, Basavaraj S., Malvade, Naveen N., Palaiah, Surendra

    Published in Information processing in agriculture (01-03-2019)
    “…Fraudulent labeling and adulteration are the major concerns in the global rice industry. Almost all the paddy varieties being sold in the market are prone to…”
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    Auto-tuning systems for J-PARC LINAC RF cavities by Fang, Z., Kobayashi, T., Fukui, Y., Futatsukawa, K., Michizono, S., Yamaguchi, S., Anami, S., Suzuki, H., Sato, F., Shinozaki, S., Chishiro, E.

    “…The 400-MeV proton linear accelerator (LINAC) at the Japan Proton Accelerator Research Complex (J-PARC) consists of 324-MHz low-β and 972-MHz high-β…”
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  7. 7

    A Comparative Study of Suitability of Certain Features in Classification of Bharatanatyam Mudra Images Using Artificial Neural Network by Anami, Basavaraj S., Bhandage, Venkatesh A.

    Published in Neural processing letters (01-08-2019)
    “…Bharatanatyam is an Indian classical dance, which is composed of various body postures and hand gestures. This ancient art of dance has to be studied under the…”
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  8. 8

    Comparative analysis of SVM and ANN classifiers for defective and non-defective fabric images classification by Anami, Basavaraj S., Elemmi, Mahantesh C.

    Published in Journal of the Textile Institute (03-06-2022)
    “…The present work gives a comparative analysis of two different classifiers, namely, Support Vector Machine (SVM) and Artificial Neural Network (ANN) to…”
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    A multiagent-based hexagon shape approach for shortest path computation in wireless sensors network by Reddy, Anusha, Manu, T.M., Anami, Basavaraj S., Shetti, Nagaraj P.

    Published in Sensors international (2020)
    “…The recent advances in sensor technology have resulted in increased utilization of sensors in real time applications such as battlefield surveillance, disaster…”
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    A vertical-horizontal-intersections feature based method for identification of bharatanatyam double hand mudra images by Anami, Basavaraj S., Bhandage, Venkatesh A.

    Published in Multimedia tools and applications (01-12-2018)
    “…Bharatanatyam is an Indian classical dance, which has to be studied under an expert. In villages, semi-urban areas and foreign countries the experts are…”
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    Influence of Different Activation Functions on Deep Learning Models in Indoor Scene Images Classification by Anami, Basavaraj S., Sagarnal, Chetan V.

    Published in Pattern recognition and image analysis (01-03-2022)
    “…The success of deep learning in the field of computer vision and object recognition has made significant breakthroughs, especially in improving recognition…”
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  12. 12

    Fault Detection and Localization in Motorcycles Based on the Chain Code of Pseudospectra and Acoustic Signals by Anami, B.S., Pagi, V.B.

    “…Vehicles produce sound signals with varying temporal and spectral properties under different working conditions. These sounds are indicative of the condition…”
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  13. 13

    Diabetes disease detection and classification on Indian demographic and health survey data using machine learning methods by Thotad, Puneeth N., Bharamagoudar, Geeta R., Anami, Basavaraj S.

    “…Diabetes mellitus has become one of the out brakes causing major health issues in developing countries like India. The need for leveraging technology is felt…”
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  14. 14

    Combined Hu moments, orientation knowledge, and grid intersections feature based identification of Bharatanatyam mudra images by Anami, Basavaraj S., Bhandage, Venkatesh A.

    Published in Pattern analysis and applications : PAA (01-11-2019)
    “…This paper presents a three-stage methodology for identification of mudra images of Bharatanatyam dance. In the first stage, acquired images of Bharatanatyam…”
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    Cascaded integrator comb filters with smoothly varying coefficients for reduced delay in synchrotron feedback loops by Schnase, A., Nomura, M., Tamura, F., Yamamoto, M., Anami, S., Ezura, E., Hara, K., Ohmori, C., Takagi, A., Yoshii, M.

    “…The Rapid Cycling Synchrotron (RCS) of the J-PARC complex in Tokai, Japan, is designed to accelerate a high intensity proton beam from 181 MeV, and later…”
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  17. 17

    RF-windows used at the KEKB linac by Michizono, S., Saito, Y., Matsumoto, T., Fukuda, S., Anami, S.

    Published in Applied surface science (15-01-2001)
    “…In the KEKB linac (8 GeV electrons and 3.5 GeV positrons), 58 pulsed klystrons (2856 MHz, 40 MW, 4 μs, 50 pps) are used for electron/positron acceleration…”
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    Efficient Implementations for AES Encryption and Decryption by Rachh, Rashmi Ramesh, Mohan, P. V. Ananda, Anami, B. S.

    Published in Circuits, systems, and signal processing (01-10-2012)
    “…This paper proposes two efficient architectures for hardware implementation of the Advanced Encryption Standard (AES) algorithm. The composite field arithmetic…”
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    Wavelet-based acoustic analysis for determining health condition of motorized two-wheelers by Anami, Basavaraj S., Pagi, Veerappa B., Magi, Sangamesh M.

    Published in Applied acoustics (01-06-2011)
    “…Vehicles generate different sound patterns under different working and health conditions. Garage mechanics diagnose the vehicle faults by monitoring the sound…”
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