Bam Bahadur Sinha
Orcid: 0000-0002-7284-9850Affiliations:
- Indian Institute of Information Technology Dharwad, India
- National Institute of Technology Nagaland, Dimapur, India (PhD 2020)
According to our database1,
Bam Bahadur Sinha
authored at least 22 papers
between 2019 and 2025.
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Bibliography
2025
An efficient rumor detection model based on deep learning and flower pollination algorithm.
Knowl. Inf. Syst., March, 2025
Beyond classical approaches: redefining the landscape of high-accurate movie recommendation using QNN.
J. Supercomput., January, 2025
A hybrid approach for static hand gesture recognition: Integrating Directional Adaptive Patterns with Multi-Scale Feature Extraction and Aggregation.
Eng. Appl. Artif. Intell., 2025
2024
Expert Syst. J. Knowl. Eng., March, 2024
Optimizing User Recommendations with Variational Autoencoders: Insights from MovieLens-1M and BookCrossing Datasets.
Proceedings of the IEEE International Conference on Computer Vision and Machine Intelligence, 2024
2023
An Archimedes metaheuristic algorithm based optimum relay coordination in microgrid and combined overhead/cable distribution network.
J. Supercomput., December, 2023
Improved equilibrium optimization based on Levy flight approach for feature selection.
Evol. Syst., August, 2023
Cross-Domain Collaborative Filtering: A Deep Neural Network Approach for Accurate and Diverse Recommendations.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023
Evaluating the Effectiveness of Collaborative Filtering Similarity Measures: A Comprehensive Review.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023
2022
DNN-MF: deep neural network matrix factorization approach for filtering information in multi-criteria recommender systems.
Neural Comput. Appl., 2022
J. King Saud Univ. Comput. Inf. Sci., 2022
Recent advancements and challenges of Internet of Things in smart agriculture: A survey.
Future Gener. Comput. Syst., 2022
Scalable resource description framework clustering: A distributed approach for analyzing knowledge graphs using minHash locality sensitive hashing.
Concurr. Comput. Pract. Exp., 2022
2021
Building a fuzzy logic-based McCulloch-Pitts Neuron recommendation model to uplift accuracy.
J. Supercomput., 2021
Building an Adaptive Recommendation Model Based on Fuzzy MP Neuron and Weighted Similarity Indicator.
J. Inf. Sci. Eng., 2021
An effective movie recommender system enhanced with time series analysis of user rating behaviour.
Int. J. Math. Oper. Res., 2021
Int. J. Bus. Inf. Syst., 2021
2020
Pattern Anal. Appl., 2020
A recommender system based on a new similarity metric and upgraded crow search algorithm.
J. Intell. Fuzzy Syst., 2020
Building a Fuzzy Logic-Based Artificial Neural Network to Uplift Recommendation Accuracy.
Comput. J., 2020
2019