Chhotelal Kumar

According to our database, Chhotelal Kumar authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

ForgeDtSTNet: A spatio-temporal deep learning approach for accurate copy-move forgery detection in digital images.

Amar Jindal, Gayatri Mehta, Nitika Nigam, Chhotelal Kumar

Comput. Electr. Eng., 2026

2024

Efficient Hotel Rating Prediction from Reviews Using Ensemble Learning Technique.

Mukesh Kumar, Chhotelal Kumar, Naween Kumar, S. Kavitha

Wirel. Pers. Commun., July, 2024

Next-item recommendation within a short session using the combined features of horizontal and vertical convolutional neural network.

Chhotelal Kumar, Mukesh Kumar

Multim. Tools Appl., April, 2024

Session-based recommendations with sequential context using attention-driven LSTM.

Chhotelal Kumar, Mukesh Kumar

Comput. Electr. Eng., 2024

2023

MGU-GNN: Minimal Gated Unit based Graph Neural Network for Session-based Recommendation.

Chhotelal Kumar, Md Abuzar, Mukesh Kumar

Appl. Intell., October, 2023

User session interaction-based recommendation system using various machine learning techniques.

Chhotelal Kumar, Mukesh Kumar

Multim. Tools Appl., 2023