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An efficient deep neural network model for music classification
J Singh - International Journal of Web Science, 2022 - inderscienceonline.com
Combining with music recommendations that may be received through mobile devices, in
comparison to past periods, the usage of digital music has risen in recent years. Searching …
comparison to past periods, the usage of digital music has risen in recent years. Searching …
Neural network model for recommending music based on music genres
In recent years, the use of digital music is increased compare to earlier period. Based on the
selected features of music or songs, the music recommendation service provider will provide …
selected features of music or songs, the music recommendation service provider will provide …
Learning based driver drowsiness detection model
J Singh - 2020 3rd International Conference on Intelligent …, 2020 - ieeexplore.ieee.org
Drivers drive for long hours which deteriorates their health. Due to this, the drivers are often
tired and often on the verge of fatigue. This leads them to have bursts of microsleep ie a …
tired and often on the verge of fatigue. This leads them to have bursts of microsleep ie a …
A novel deep neural-based music recommendation method considering user and song data
This Natural language processing, Computer vision, and speech recognition are among the
fields in which deep learning outperforms prior approaches. The majority of deep learning …
fields in which deep learning outperforms prior approaches. The majority of deep learning …
A new fuzzy logic-based query expansion model for efficient information retrieval using relevance feedback approach
J Singh, A Sharan - Neural Computing and Applications, 2017 - Springer
Efficient query expansion (QE) terms selection methods are really very important for
improving the accuracy and efficiency of the system by removing the irrelevant and …
improving the accuracy and efficiency of the system by removing the irrelevant and …
Term co-occurrence and context window-based combined approach for query expansion with the semantic notion of terms
In this paper, our focus is to capture the limitations of Pseudo-Relevance Feedback (PRF)
based query expansion (QE) and propose a hybrid method to improve the performance of …
based query expansion (QE) and propose a hybrid method to improve the performance of …
Lexical co-occurrence and contextual window-based approach with semantic similarity for query expansion
Query expansion (QE) is an efficient method for enhancing the efficiency of information
retrieval system. In this work, we try to capture the limitations of pseudo-feedback based QE …
retrieval system. In this work, we try to capture the limitations of pseudo-feedback based QE …
A novel fuzzy logic model for pseudo-relevance feedback-based query expansion
In this paper, a novel fuzzy logic-based expansion approach considering the relevance
score produced by different rank aggregation approaches is proposed. It is well known that …
score produced by different rank aggregation approaches is proposed. It is well known that …
SPRF: A semantic Pseudo-relevance Feedback enhancement for information retrieval via ConceptNet
M Pan, Q Pei, Y Liu, T Li, EA Huang, J Wang… - Knowledge-Based …, 2023 - Elsevier
Pseudo-relevance feedback is a widely acclaimed technique for information retrieval.
However, traditional information retrieval approaches typically process the original query …
However, traditional information retrieval approaches typically process the original query …
A hybrid evolutionary algorithm based automatic query expansion for enhancing document retrieval system
Nowadays, searching the relevant documents from a large dataset becomes a big
challenge. Automatic query expansion is one of the techniques, which addresses this …
challenge. Automatic query expansion is one of the techniques, which addresses this …