Automatic Speech Recognition in Mobile Customer Care Service

Sahu, Ms. Pooja

doi:10.17762/ijnpme.v4i01.34

Cited by 10 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For this test [24,25], only continuous, unidirectional fibers that are the same length as the specimen may be used. By applying an indentation load that is both normal to the fibre length and normal to the fibre diameter [26,27], the hardness characteristics of the composites are examined. It is observed that the ultimate tensile strength (UTS) of 19.3 MPa was found in sample number 6, attributed to the strong bonding between fibers KA and KC.…”

Section: Hardness Testmentioning

confidence: 99%

Mechanical Behavior of Handmade Epoxy-Based Composites

Al-Farouni,

Joshi,

et al. 2024

E3S Web Conf.

View full text Add to dashboard Cite

The development of products in a variety of industries is now being increasingly influenced by material advancements. Many experts are looking for basic materials that are strong, light, and inexpensive. Solids are often rather thick, whereas light materials are weaker. To attain significant strength while lowering weight, we use composite materials. This work deals with the mixed effects of composites made by hand using an epoxy tar and a hardener along with different fiberes of chopped mate (KC), Kenaf (KA), and Kevlar (KB). Mechanical studies such as tensile (UTS), flexural (FL), impact (IM), and hardness (BHN) were conducted after creating specimens according to standard measurements.

show abstract

Section: Hardness Testmentioning

confidence: 99%

Mechanical Behavior of Handmade Epoxy-Based Composites

Al-Farouni,

Joshi,

et al. 2024

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…The chapter discusses various theoretical frameworks and instructional approaches to address and mitigate language anxiety in educational contexts. In [35] explores the concept of emotion regulation in the context of language teaching. The authors discuss strategies that language teachers can employ to regulate their own emotions and create an emotionally supportive learning environment.…”

Section: International Journal On Recent and Innovation Trends In Com...mentioning

confidence: 99%

Automated Optimization Deep Learning Model for Assessment and Guidance System Through Natural Language Processing with Reduction of Anxiety Among Students

Peng,

Macwes

2023

IJRITCC

View full text Add to dashboard Cite

The Assisted Assessment and Guidance System serves as a valuable tool in supporting individuals' learning, growth, and development. The Assisted Assessment and Guidance System with Natural Language Processing (NLP) is an innovative software application designed to provide personalized and intelligent support for assessment and guidance processes in various domains. NLP techniques are employed to analyze and understand human language, allowing the system to extract valuable insights from text-based data and provide tailored feedback and guidance. This paper proposed an Integrated Optimization Directional Clustering Classification (IODCc) for assessment of the foreign language anxiety. Additionally, the paper introduces an Integrated Optimization Directional Clustering Classification (IODCc) approach for assessing foreign language anxiety. This approach incorporates two optimization models, namely Black Widow Optimization (BWO) and Seahorse Optimization (SHO). BWO and SHO are metaheuristic optimization algorithms that simulate the behaviors of black widow spiders and seahorses, respectively, to improve the accuracy of the assessment process. The integration of these optimization models within the IODCc approach aims to enhance the accuracy and effectiveness of the foreign language anxiety assessment. Simulation analysis is performed for the data collected from the 1000 foreign language students. The experimental analysis expressed that the proposed IODCc model achieves an accuracy of 99% for the classification. The findings suggested that through pre-training of languages, the anxiety of the students will be reduced.

show abstract

“…Despite the fact that the semantic information in these user profile models allows them to properly reflect the content of the user's interested Web pages, it remains a challenge to evolve and maintain the model's adaptiveness in order to signify the consumer's interests by limited subjects. Singh et al propose a news filtering system that models the user's preferences using an interest hierarchy based on explicit user feedback [7]. Due to the lack of semantics, dynamics, and adaptability in current research, it is difficult to adequately capture users' real-time interests that affect the quality of tailored suggestions.…”

Section: Related Workmentioning

confidence: 99%

Perception based User Profiles for Web Personalization

M P,

H K,

Raju

2023

IJRITCC

View full text Add to dashboard Cite

Personalized web services reduce the burden of information overload by collecting facts that match the needs of the user. An important aspect of personalized web services is the creation of user profiles that contain user information and settings. This article introduces a unique method called Perception-Based User Profiles (PUP) based on perception and browsing order, develops and updates user profiles. User profiles include perceptions and relationships, which can help guarantee that user interests are represented semantically. Second, when calculating the perception and duration of the relationship, for each site in a session, the user's browsing order is considered. Third, cognitive psychometric memory model is used to update the user profile's perceptions and relationships at the end of each session, ensuring the user profile's dynamics. The results of the tests suggest that this strategy works well for building and updating user profiles.

show abstract

Automatic Speech Recognition in Mobile Customer Care Service

Cited by 10 publications

References 9 publications

Mechanical Behavior of Handmade Epoxy-Based Composites

Mechanical Behavior of Handmade Epoxy-Based Composites

Automated Optimization Deep Learning Model for Assessment and Guidance System Through Natural Language Processing with Reduction of Anxiety Among Students

Perception based User Profiles for Web Personalization

Contact Info

Product

Resources

About