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Yogesh Bhosale
Yogesh Bhosale
Dept. of Computer Science & Engineering, Birla Institute of Technology Mesra
Verified email at bitmesra.ac.in
Title
Cited by
Cited by
Year
Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review
YH Bhosale, KS Patnaik
Neural processing letters 55 (3), 3551-3603, 2023
742023
PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification using ensemble deep convolutional neural network from chest X-ray images to minimize …
YH Bhosale, KS Patnaik
Biomedical Signal Processing and Control 81, 104445, 2023
542023
IoT deployable lightweight deep learning application for COVID-19 detection with lung diseases using RaspberryPi
YH Bhosale, KS Patnaik
2022 International conference on IoT and blockchain technology (ICIBT), 1-6, 2022
482022
Deep convolutional neural network based Covid-19 classification from radiology X-Ray images for IoT enabled devices
YH Bhosale, S Zanwar, Z Ahmed, M Nakrani, D Bhuyar, U Shinde
2022 8th international conference on advanced computing and communication …, 2022
262022
Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection, classification, and …
YH Bhosale, KS Patnaik
Multimedia Tools and Applications 82 (25), 39157-39210, 2023
112023
Human Monkeypox 2022 virus: Machine learning prediction model, outbreak forecasting, visualization with time-series exploratory data analysis
YH Bhosale, SR Zanwar, AT Jadhav, Z Ahmed, VS Gaikwad, KS Gandle
2022 13th International Conference on Computing Communication and Networking …, 2022
112022
Graph and capsule convolutional neural network based classification of lung cancer, pneumonia, COVID-19 using lung CT and ultrasound radiography imaging
YH Bhosale, KS Patnaik
2022 8th international conference on signal processing and communication …, 2022
72022
COVID-19 and Associated Lung Disease Classification Using Deep Learning
YH Bhosale, P Singh, KS Patnaik
International Conference on Innovative Computing and Communications. Lecture …, 2022
72022
Multi-plant and multi-crop leaf disease detection and classification using deep neural networks, machine learning, image processing with precision agriculture-A review
YH Bhosale, SR Zanwar, SS Ali, NS Vaidya, RA Auti, DH Patil
2023 International Conference on Computer Communication and Informatics …, 2023
62023
ECG-CCNet: Cardiovascular (Cardiac) and COVID‑19 Disease Classification Using Deep Convolutional Neural Network Learning Pipeline Approaches From Electrocardiography (ECG)-A Study
YH Bhosale, KS Patnaik
2022 IEEE Silchar Subsection Conference (SILCON), 1-6, 2022
52022
Digitization of Households with Population Using Cluster and List Sampling Frame In Aerial Images
YH Bhosale
Open Access International Journal of Science& Engineering (OAIJSE) 5 (2), 22-26, 2020
42020
English Handwritten Character Recognition Based on Ensembled Machine Learning
SR Zanwar, YH Bhosale, DL Bhuyar, Z Ahmed, UB Shinde, SP Narote
Journal of The Institution of Engineers (India): Series B 104 (5), 1053-1067, 2023
22023
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