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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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Latency Analysis of Cloud Infrastructure for Time-Critical IoT Use Cases
Published 2022“…Latency in real-time processing is influenced by many factors such as artificial intelligence (AI) computing algorithm, device processing capabilities, the frameworks, and also the distance from the cloud infrastructure. …”
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Proceeding -
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The impact of new technologies (AI, Blockchain & Big Data) in the accounting profession
Published 2025“…Moreover, the reliance on AI and Big Data analytics introduces concerns about algorithmic bias, inaccuracies, and the ethical use of data. …”
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The Modern And Digital Transformation Of Oral Health Care: A Mini Review
Published 2024journal::journal article -
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Current applications of machine learning in dentistry
Published 2022“…Artificial intelligence (AI) is the general description given to computer systems that can perform tasks and mimic the requirement of human intelligence input (Pesapane et al., 2018). …”
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Book Chapter -
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The adaptability of Industrial Revolution 4.0 in valuation field / Asmida Shafina Osman and Nor Azalina Yusnita Abdul Rahman
Published 2023“…By integrating advanced technologies like big data analytics, artificial intelligence (AI), machine learning (ML), geographic information system (GIS), and drones, valuers have witnessed significant improvements in efficiency, accuracy, and cost savings. …”
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Identifying the correct articulation point of a Quranic letters of the throat (al-halqu) makhraj
Published 2023“…The fact is that the time and resources are limited especially in some areas in the world, where getting easy access towards a certified teacher for Quranic teaching and learning is a big issue. Considering this issue, with the enrichment of technology particularly in Artificial Intelligence (AI) nowadays, this limitation can be overcome. …”
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EDITORIAL: INTEGRATION OF HYDROLOGICAL MODELS AND MACHINE LEARNING TECHNIQUES FOR WATER RESOURCES MANAGEMENT
Published 2025“…As AI, remote sensing, and big data evolve, their convergence with hydrological sciences will drive more intelligent and sustainable water management solutions.…”
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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“…The purpose of this study is to explore the theoretical aspects of energy issues in big data analytics in relation to computational intelligent algorithms since this is critical in exploring the emperica aspects of big data. …”
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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“…The purpose of this study is to explore the theoretical aspects of energy issues in big data analytics in relation to computational intelligent algorithms since this is critical in exploring the emperica aspects of big data. …”
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Book Chapter -
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Two objectives big data task scheduling using swarm intelligence in cloud computing
Published 2016“…It has been widely used for its enormous benefits and its ability to cope with large scale data such as workflows and big data applications. …”
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The Ethical Implication of Using Artificial Intelligence in Hiring and Promotion Decisions
Published 2023“…A substantial increase in the use of Artificial Intelligence (AI) in the field of human resources, notably in the recruiting and promotion processes. …”
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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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Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey
Published 2015“…The versatility of Artificial Intelligence (AI) in process systems is not restricted to modelling and control,only, but also as estimators to estimate the unmeasured parameters as an alternative to the conventional observers and hardware sensors. …”
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Processing time estimation in precision machining industry using AI / Lim Say Li
Published 2017“…Neural Network (NN) model is chosen as the artificial intelligence approach used in this research. Levenberg-Marquardt algorithm is used as the training algorithm. …”
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Thesis -
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Investigating the Application of Artificial Intelligence for Earthquake Prediction in Terengganu
Published 2023text::Thesis -
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Embedded Artificial Intelligent (AI) To Navigate Cart Follower
Published 2018“…One of the solution for the problem is to create an Artificial Intelligent (AI) cart follower. Therefore, this research is to create an AI system for the AI cart follower with a visual based sensor. …”
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Monograph -
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Deploying blockchains to simplify AI algorithm auditing
Published 2023“…Consequently, the process of algorithm auditing will be more convenient and more productive. …”
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Proceeding Paper
