A Hybrid Clustering Approach Based Q-Leach in TDMA to Optimize QOS-Parameters

Preetha, M. Mary Synthuja Jain; Elavarasi, K.; Vignesh, T.; Nagaraju, V.

doi:10.1007/s11277-021-09175-8

Cited by 23 publications

(2 citation statements)

References 35 publications

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“…A typical SDN is made up of an assortment of sensor gadgets that work together to complete a shared purpose and transmit the information they gather to a centralized node securely. The use of SDNs ranges from civic, medical care, and ecological to military use [1]. However, the development and administration of networked sensors have faced numerous difficulties due to the specialized attention to the special characteristics of networks of sensors, such as power constraints, strict capacity requirements, dynamic structure, high system density, in addition, massive deployments [2].…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Routing with Optimization Algorithm for SDN: Enhancing Network Lifetime and QoS

Rajanikanth,

Nagaraj,

Ashwin

et al. 2024

RIA

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Section: Introductionmentioning

confidence: 99%

Hierarchical Routing with Optimization Algorithm for SDN: Enhancing Network Lifetime and QoS

Rajanikanth,

Nagaraj,

Ashwin

et al. 2024

RIA

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“…Kurmanji and Sorani are the most used dialects among the others, and they account for more than 75% of native Kurdish speakers [7]. Therefore, it isn't easy to create a large-scale corpus for the Kurdish Language, considering all dialects.…”

Section: Introductionmentioning

confidence: 99%

Kurdish Language Sentiment Analysis: Problems and Challenges

Amin¹

2022

MSEA

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The increasing usage of blogs, social networks, and forums for sharing opinions on a certain topic has created vast amounts of internet data. Therefore, Sentiment Analysis has gained great popularity among researchers and industry for analyzing the polarity of users' opinions. In recent years, Sentiment Analysis has been applied to various languages using machine learning-approach, corpus-based approach, and deep learning techniques since it is beneficial for creating an effective recommender system. The Kurdish Language is an Indo-European language, one of the official languages in Iraq, and it is also widely used in Turkey, Iran, and Syria. Although the importance of this Language is spoken by over 40 million people, to the best of our knowledge, no research has been done regarding the challenges and problems of Kurdish sentiment analysis. Our research aims to highlight the latest studies and examine the most critical challenges of applying sentiment analysis approaches to the Kurdish Language. The study includes determining each challenge in each step of sentiment analysis processing in the Kurdish Language. In addition, our proposed methodology that could help address most of these challenges is implementing a hybrid approach by combining machine learning and lexicon-based approaches to improve the proficiency of sentiment classification in the Kurdish Language.

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A smart intelligent approach based on hybrid group search and pelican optimization algorithm for data stream clustering

Agarwal,

Reddy

2023

Knowl Inf Syst

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A Hybrid Clustering Approach Based Q-Leach in TDMA to Optimize QOS-Parameters

Cited by 23 publications

References 35 publications

Hierarchical Routing with Optimization Algorithm for SDN: Enhancing Network Lifetime and QoS

Hierarchical Routing with Optimization Algorithm for SDN: Enhancing Network Lifetime and QoS

Kurdish Language Sentiment Analysis: Problems and Challenges

A smart intelligent approach based on hybrid group search and pelican optimization algorithm for data stream clustering

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