Bam Bahadur Sinha

Orcid: 0000-0002-7284-9850

Affiliations:
  • 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 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Advancements in medical diagnosis and treatment through machine learning: A review.
Expert Syst. J. Knowl. Eng., March, 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

2022
DNN-MF: deep neural network matrix factorization approach for filtering information in multi-criteria recommender systems.
Neural Comput. Appl., 2022

Evolution of recommender paradigm optimization over time.
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

Diversifying the predictions in the recommender systems.
Int. J. Bus. Inf. Syst., 2021

2020
TimeFly algorithm: a novel behavior-inspired movie recommendation paradigm.
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
Evolution of recommender system over the time.
Soft Comput., 2019


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