A novel design of low-cost hearing aid devices using an efficient lifting filter bank with a modified variable filter

Subbulakshmi, N.; Manimegalai, R.; Rajakumar, G; Tamilarasan, Ananth Kumar; Kosuri, Umadevi

doi:10.1080/17434440.2022.2159376

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…Collaborative filtering needs to demonstrate that user assessments are ongoing, which may be difficult given its enormous history record requirement. Therefore, collaborative filtering only works effectively when many people rate a small number of things [21].…”

Section: ░ 2 Literature Surveymentioning

confidence: 99%

A Brief Survey on Recommendation System for a Gradient Classifier based Inadequate Approach System

R.Sowmya¹,

Kumar²,

Rajmohan³

et al. 2023

MEJAST

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Recommender systems are a common and successful feature of modern internet services. (RS). A service that connects users to tasks is known as a recommendation system. Making it simpler for customers and project providers to identify and receive projects and other solutions achieves this. A recommendation system is a strong device that may be advantageous to a business or organisation. This study explores whether recommender systems may be utilised to solve cold-start and data-sparsely issues with recommender systems, as well as delays and business productivity. Recommender systems make it easier and more convenient for people to get information. Over the years, several different methods have been created. We employ a potent predictive regression method known as the slope classifier algorithm, which minimises a loss function by repeatedly choosing a function that points in the direction of the weak hypothesis or the negative gradient. A group that is experiencing trouble handling cold beginnings and data sparsity will send enormous datasets to the suggested systems team. The users have to finish their job by the deadline in order to overcome these challenges.

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Section: ░ 2 Literature Surveymentioning

confidence: 99%

A Brief Survey on Recommendation System for a Gradient Classifier based Inadequate Approach System

R.Sowmya¹,

Kumar²,

Rajmohan³

et al. 2023

MEJAST

View full text Add to dashboard Cite

show abstract

“…The suitability of a plastic for this application is dependent on a number of factors, including its ability to withstand high temperatures, its chemical make-up, and other properties. Plastics of the following categories are typically regarded as being more appropriate for conversion [9]: Table 1 provides an illustration of the diverse array of polymers that are utilized in the pyrolysis conversion process. attractive qualities for conversion into fuel-based commodities.…”

Section: Types Of Plastic Suitable For Pyrolysis Conversionmentioning

confidence: 99%