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A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption
Published 2019“…In this chapter, we present a theoretical study of energy issues related to applications of computational intelligent algorithms in big data analytics. …”
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A theoretical framework for big data analytics based on computational intelligent algorithms with the potential to reduce energy consumption
Published 2019“…In this chapter, we present a theoretical study of energy issues related to applications of computational intelligent algorithms in big data analytics. …”
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Book Chapter -
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Two objectives big data task scheduling using swarm intelligence in cloud computing
Published 2016“…In this direction, this paper first gives review of some previous scheduling algorithms used in cloud. Then, it proposes a type of swarm intelligence called Particle Swarm Optimization (PSO) algorithm to diminish cost though meeting deadlines. …”
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Investigating the Application of Artificial Intelligence for Earthquake Prediction in Terengganu
Published 2023text::Thesis -
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Big data analytics and intelligence: A perspective for health care
Published 2023“…There are many techniques and algorithms are available such as PPDM, Machine Learning, Data Mining Algorithms, Artificial Intelligence etc. …”
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Intelligent transmission line fault diagnosis using the Apriori associated rule algorithm under cloud computing environment
Published 2024Subjects:Article -
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Semantic-k-NN algorithm: An enhanced version of traditional k-NN algorithm
Published 2020“…With the emergence of big data, the performance and the efficiency of the traditional k-NN algorithm is fast becoming a critical issue. …”
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Semantic-k-NN algorithm: An enhanced version of traditional k-NN algorithm
Published 2020“…With the emergence of big data, the performance and the efficiency of the traditional k-NN algorithm is fast becoming a critical issue. …”
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Software agent as an effective tool for managing the Internet of thing data complexity
Published 2017“…A possible solution is to employ an intelligent middleware that can analyze both the human-generated data and sensory generated data. …”
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Conference or Workshop Item -
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Artificial intelligence?powered electrochemical sensor: Recent advances, challenges, and prospects
Published 2025“…Still, they also pose challenges such as data privacy, sensor stability, and algorithmic bias. …”
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Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions
Published 2018“…The limitations are addressed as challenges to obtain a set of requirements for Computational Intelligence Medical Data (CIMD) in establishing an efficient CIMD architectural design. …”
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The Modern And Digital Transformation Of Oral Health Care: A Mini Review
Published 2024journal::journal article -
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Towards paddy rice smart farming: a review on big data, machine learning, and rice production tasks
Published 2021“…In this paper, we perform a survey of the latest research on intelligent data processing technology applied in agriculture, particularly in rice production. …”
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Designing machine learning frameworks for intelligence and gamification research / Nordin Abu Bakar
Published 2016“…In the era of big data analytic, describing structural pattern in data has been the fore front of many research themes. …”
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Thesis -
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Novel rule base development from IED-resident big data for protective relay analysis expert system
Published 2016“…Thus, the objective of this chapter is to study the design of an Expert System called ProtectiveRelay Analysis System (PRAY), which is imbedded with a rule base construction module. This module is to provide the facility of intelligently maintaining the knowledge base of PRAY through the prior discovery of relay operations (association) rules from a novel integrated data mining approach of Rough-Set-Genetic-Algorithm-based rule discovery and Rule Quality Measure. …”
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Book Section -
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Computational biology: where nature meets technology / Ts Faikah Awang @ Ismail and Ts Mohamad Shahrimi Hashim
Published 2023“…Computational Biology is where the intersection of computer science, biology, chemistry, genetics, and big data analysis. It all began in the early 1970s when basic artificial intelligence was developed to create the neural network model for the human brain to generate new algorithms. …”
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