Rajendra D. Bhosale

@ghrcem.raisoni.net

Electronics and Telecommunication
G H Raisoni College of Engineering and Management



           

https://researchid.co/rajendraresearcher007

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Science Applications

4

Scopus Publications

Scopus Publications

  • Customized convolutional neural network for pulmonary multi-disease classification using chest x-ray images
    Rajendra D. Bhosale and D. M. Yadav
    Springer Science and Business Media LLC

  • Analysis of EfficientNet Family Models by Retraining for Tuberculosis Detection from Chest X-Ray Images
    Rajendra D. Bhosale and D. M. Yadav
    IEEE
    This article presents a comprehensive study on the retraining of neural networks from the EfficientNet family, focusing on the detection of Tuberculosis (TB) through analysis of Chest X-Ray images. Leveraging the Shenzen and Montgomery Chest X-ray Dataset, impressive performance is showcased by the retrained models. Notably, the EfficientNet-B7 model emerges as the most effective, achieving remarkable rates of accuracy, sensitivity, specificity, and F1 score of 98.5%, 98.5%, 99%, and 98% respectively. The potential of EfficientNet architectures in medical image analysis is underscored by the results, particularly in the context of TB detection. A contribution is made to the growing body of knowledge concerning the application of deep learning techniques to enhance disease diagnosis through non-invasive imaging methods, thereby paving the way for improved early detection and patient care.

  • Novel Chest X-Ray 4-CH-CNN COVID-19 Diagnosis
    Rajendra D. Bhosale, Suresh N. Mali, and Sanjay B. Patil
    Springer Nature Singapore

  • Performance evaluation of unlicensed mobile access using WiFi
    Rajendra D. Bhosale and Atul R. Nigavekar
    IEEE
    Internet protocol (IP) telephony is sensible in the view of providing platform for faster information exchange using voice calls and its demand is increasing. IP telephony in heterogeneous network environments can prove its dominating characteristics over circuit switched network. General packet radio service (GPRS) is mostly used network in India. Interface, using serving GPRS support node (SGSN) gateway for IP telephony, to provide channel to all users using wireless local area network (WLAN) to make voice calls to GPRS mobile user, can provide ultimate solution for the need of cheaper and flexible calling in the areas where service provider's coverage range is quite poor. Interconnecting WiFi and GPRS as mentioned in unlicensed mobile access (UMA) can provide more reliable and single device multi interface platform and add more flexibility to its users having handsets with dual radio interface capability. The performance evaluation has been done for UMA using network simulator. Analysis indicates that the system can perform better with less end to end delay, jitter, packet loss and optimum throughput.