Manoj Kaushik

According to our database, Manoj Kaushik authored at least 7 papers between 2021 and 2026.

Collaborative distances:

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

2026

SpectraGeni: A deep learning convolutional conditional variational autoencoder for synthetic hyperspectral data generation from highly imbalanced spectral measurements.

Manoj Kaushik, Srinija Enimireddy, Rama Rao Nidamanuri

Appl. Soft Comput., 2026

2023

CloudSegnet: A Deep Learning Based Segmentation Method For Cloud Detection In Multispectral Satellite Imagery.

Manoj Kaushik, Anagha S. Sarma, Rama Rao Nidamanuri

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Hyperspectral Detection of Fusarium Wilt in Tomato Plants Using Machine Learning-Based Approaches.

Sivaganesh Baskaran, Chaitra Gadari, C. V. S. S. Manohar Kumar, Manoj Kaushik, R. G. Sharathchandra Ramasandra Govind, Rama Rao Nidamanuri

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Cardi-Net: A deep neural network for classification of cardiac disease using phonocardiogram signal.

Juwairiya Siraj Khan, Manoj Kaushik, Anushka Chaurasia, Malay Kishore Dutta, Radim Burget

Comput. Methods Programs Biomed., 2022

2021

VirLeafNet: Automatic analysis and viral disease diagnosis using deep-learning in <i>Vigna mungo</i> plant.

Rakesh Chandra Joshi, Manoj Kaushik, Malay Kishore Dutta, Ashish Srivastava, Nandlal Choudhary

Ecol. Informatics, 2021

Cytokine gene variants and socio-demographic characteristics as predictors of cervical cancer: A machine learning approach.

Manoj Kaushik, Rakesh Chandra Joshi, Atar Singh Kushwah, Maneesh Kumar Gupta, Monisha Banerjee, Radim Burget, Malay Kishore Dutta

Comput. Biol. Medicine, 2021

SLINet: Dysphasia detection in children using deep neural network.

Manoj Kaushik, Neeraj Baghel, Radim Burget, Carlos M. Travieso, Malay Kishore Dutta

Biomed. Signal Process. Control., 2021