Search Results - "Dattatray G. Takale"

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  1. 1

    An energy efficient routing protocol with fuzzy neural networks in wireless sensor network by S. Harihara Gopalan, Dattatray G. Takale, B. Jayaprakash, Vivek Pandiya Raj

    Published in Ain Shams Engineering Journal (01-10-2024)
    “…The extension of wireless sensor network (WSN) lifetime and reduction of power consumption are now important objectives in sensor network research…”
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    Journal Article
  2. 2

    Exploring the Benefits of AI for Content Retrieval by Begum, Ahmadi, Karthikeyan, Kavitha, Takale, Dattatray G., Bhambu, Pawan, Yadav, Dhananjay, Das, Sidhant

    “…The latest emergence of synthetic Intelligence (AI) and its packages in content retrieval have made it an increasing hobby for educational and technical…”
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    Conference Proceeding
  3. 3

    A Comparative Analysis in Using Deep Learning Models Which Results in Efficient Image Data Augmentation by Kumar Nassa, Vinay, Kumar Satpathy, Susanta, Pathak, Mrunal K., Takale, Dattatray G., Rawat, Swati, Rana, Samir

    “…"Deep learning" is now the speediest field in the "Machine Learning (ML)" and "Deep Neural Networks fields (DNN)". "Convolution Neural Networks (CNN)" are…”
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    Conference Proceeding
  4. 4

    Applying Advanced Neural Network Architectures to Improve Extracting Effectiveness of Textual Information by Sharma, Vishal, Savita, Kavitha, R., Arun Francis, G., Chandrakala, P., Takale, Dattatray G.

    “…This paper investigates the capacity of applying advanced neural community architectures to enhance the effectiveness of extracting statistics from textual…”
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    Conference Proceeding
  5. 5

    A Comprehensive analysis of the Efficiency of Dynamic Spectrum Allocation Methods in Optical Fiber Communications by N, Beemkumar, Kumar, Aditya, Garg, Prateek, Femilin Jana, D Little, Takale, Dattatray G., Das, Neeraj

    “…The efficient utilization of optical fiber communications dramatically affects the community's overall performance. As the ability demand for data…”
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    Conference Proceeding
  6. 6

    A novel prediction of remaining useful life time of rolling bearings using convolutional neural network with bidirectional long short term memory by Balamurugan, R., Takale, Dattatray G., Parvez, M. Muzammil, Gnanamurugan, S.

    Published in Maǧallaẗ al-abḥath al-handasiyyaẗ (01-05-2024)
    “…Detection of bearing problems increases the importance of the service life of rotating machinery. Convolutional neural networks (CNNs) are often used in…”
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    Journal Article