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Dr. Shilpa Bade-Gite
Dr. Shilpa Bade-Gite
Associate Professor in Computer Science &Engg., Research Faculty @Symbiosis Centre for Applied AI
Verified email at sitpune.edu.in
Title
Cited by
Cited by
Year
CONTEXT AWARE FRAMEWORK IN IOT: A SURVEY
DHA Sagar Sukode1, Prof. Shilpa Gite2
International Journal of Advanced Trends in Computer Science and Engineering …, 2015
41*2015
On context awareness for multisensor data fusion in IoT
S Gite, H Agrawal
Proceedings of the Second International Conference on Computer and …, 2016
402016
Building footprint extraction from high resolution aerial images using generative adversarial network (GAN) architecture
A Abdollahi, B Pradhan, S Gite, A Alamri
IEEE Access 8, 209517-209527, 2020
352020
Vehicle Traffic Congestion Control & Monitoring System in IoT
SG Sagar Sukode
International Journal of Applied Engineering Research 10 (8), 19513-19523, 2015
262015
Explainable stock prices prediction from financial news articles using sentiment analysis
S Gite, H Khatavkar, K Kotecha, S Srivastava, P Maheshwari, N Pandey
PeerJ Computer Science 7, e340, 2021
202021
A reactive energy-alert algorithm for manet and its impact on node energy consumption
S Bade(Gite), M Kumar, P Kamat
International Journal of Computer Applications 71 (18), 2013
162013
Early prediction of driver's action using deep neural networks
S Gite, H Agrawal
International Journal of Information Retrieval Research (IJIRR) 9 (2), 11-27, 2019
132019
Early anticipation of driver’s maneuver in semiautonomous vehicles using deep learning
DKK Shilpa Bade-Gite, Dr Himanshu Agrawal
Progress in Artificial Intelligence 1 (1), 1-13, 2019
12*2019
A review of microscopic analysis of blood cells for disease detection with AI perspective
NM Deshpande, S Gite, R Aluvalu
PeerJ Computer Science 7, e460, 2021
102021
Automatic Helmet Detection on Public Roads
PSG Maharsh Desai , Shubham Khandelwal , Lokneesh Singh
International Journal of Engineering Trends and Technology (IJETT) 35 (5), 85-88, 2016
10*2016
Performance of convolutional neural network and recurrent neural network for anticipation of driver's conduct
S Virmani, S Gite
2017 8th International Conference on Computing, Communication and Networking …, 2017
92017
AN OVERVIEW OF ADVANCES IN IMAGE COLORIZATION USING COMPUTER VISION AND DEEP LEARNING TECHNIQUES
D Rashi, A Meghna, G Shilpa
Conscientia Beam 7 (2), 86-95, 2020
82020
Novel driver behavior model analysis using hidden Markov model to increase road safety in smart cities
D Bhatt, S Gite
Proceedings of the Second International Conference on Information and …, 2016
82016
Developing a novel Algorithm for identifying Driver’s behavior in ADAS using Deep Learning
SG Sakshi Virmani
International Journal of CONTROL Theory and applications 10 (8), 573-579, 2017
7*2017
Improved Otsu and Kapur approach for white blood cells segmentation based on LebTLBO optimization for the detection of Leukemia.
NM Deshpande, S Gite, B Pradhan, K Kotecha, A Alamri
Math Biosci Eng, 2022
62022
Effect of image binarization thresholds on breast cancer identification in mammography images using OTSU, Niblack, Burnsen, Thepade's SBTC
S Khairnar, SD Thepade, S Gite
Intelligent Systems with Applications 10, 200046, 2021
62021
Affordable system for alerting, monitoring and controlling heat stroke inside vehicles
S Garethiya, H Agrawal, S Gite, V Suresh, A Kudale, G Wable, ...
2015 International Conference on Industrial Instrumentation and Control …, 2015
62015
Enhanced lung image segmentation using deep learning
S Gite, A Mishra, K Kotecha
Neural Computing and Applications, 1-15, 2022
52022
A brief bibliometric survey of explainable ai in medical field
NM Deshpande, SS Gite
Lib. Philo. Pract, 1-27, 2021
52021
A brief bibliometric survey of leukemia detection by machine learning and deep learning approaches
NM Deshpande, SS Gite, R Aluvalu
Lib. Philo. Pract 4569, 2020
52020
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