Madhav Chandane

According to our database, Madhav Chandane authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Regression-Based Analysis of Multimodal Single-Cell Data Integration Strategies.

Bhavya Mehta, Nirmit Deliwala, Madhav Chandane

CoRR, 2023

Intrusion Detection: A Deep Learning Approach.

Ishaan Shivhare, Joy Purohit, Vinay Jogani, Samina Attari, Madhav Chandane

CoRR, 2023

Dockomation System.

Saqlain Dhanse, M. M. Chandane, Amol Chavan

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022

Performance Modelling and Analysis of IoT Based Edge Computing Policies.

Archana Shirke, M. M. Chandane

Wirel. Pers. Commun., 2022

Towards cough sound analysis using the Internet of things and deep learning for pulmonary disease prediction.

Ajay Kumar, Kumar Abhishek, Muhammad Rukunuddin Ghalib, Pranav Nerurkar, Kunjal Shah, Madhav Chandane, Sunil Bhirud, Dhiren R. Patel, Yann Busnel

Trans. Emerg. Telecommun. Technol., 2022

Dynamic Sign Language Recognition and Emotion Detection using MediaPipe and Deep Learning.

Dhruvin Gandhi, Kushal Shah, Madhav Chandane

Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

2021

An Efficient Trust-Based Routing Scheme Against Malicious Communication in MANET.

Ankita A. Mahamune, M. M. Chandane

Int. J. Wirel. Inf. Networks, 2021

Multilabel classification of remote sensed satellite imagery.

Ajay Kumar, Kumar Abhishek, Amit Kumar Singh, Pranav Nerurkar, Madhav Chandane, Sunil Bhirud, Dhiren R. Patel, Yann Busnel

Trans. Emerg. Telecommun. Technol., 2021

2019

Survey of network embedding techniques for social networks.

Pranav Nerurkar, Madhav Chandane, Sunil Bhirud

Turkish J. Electr. Eng. Comput. Sci., 2019

Exploring convolutional auto-encoders for representation learning on networks.

Pranav Nerurkar, Madhav Chandane, Sunil Bhirud

Comput. Sci., 2019

Representation learning for social networks using Homophily based Latent Space Model.

Pranav Nerurkar, Madhav Chandane, Sunil Bhirud

Proceedings of the International Conference on Omni-Layer Intelligent Systems, 2019