Chandrakant J. Gaikwad

According to our database, Chandrakant J. Gaikwad authored at least 7 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2026

LPSNet: A Novel Lightweight Polyp Segmentation Convolutional Neural Network.

Suchitra Patil, Chandrakant J. Gaikwad

Int. J. Pattern Recognit. Artif. Intell., April, 2026

2025

Multi-resolution Analysis Based Time-Domain Audio Source Separation with Optimized U-NET Model.

Baishakhi Dutta, Chandrakant J. Gaikwad

Circuits Syst. Signal Process., April, 2025

Explore Unicin Milvus Optimization-based Scale Invariant Signal interference Noise loss enabled Cycle Generative Adversarial Network for audio source separation.

Baishakhi Dutta, Chandrakant J. Gaikwad

Eng. Appl. Artif. Intell., 2025

2024

COVID-19 Respiratory Sound Signal Detection Using HOS-Based Linear Frequency Cepstral Coefficients and Deep Learning.

Sandeep B. Sangle, Chandrakant J. Gaikwad

Circuits Syst. Signal Process., January, 2024

2023

Accumulated bispectral image-based respiratory sound signal classification using deep learning.

Sandeep B. Sangle, Chandrakant J. Gaikwad

Signal Image Video Process., October, 2023

2019

Tonic Note Extraction In Indian Music using HPS and Pole Focussing Technique.

Chandrakant J. Gaikwad, Rahul B. Kodag, Mukesh D. Patil

Proceedings of the 10th International Conference on Computing, 2019

2018

Bispectrum-based technique to remove cross-terms in quadratic systems and Wigner-Ville distribution.

Chandrakant J. Gaikwad, Pradip Sircar

Signal Image Video Process., 2018