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E2IDS: an enhanced intelligent intrusion detection system based on decision tree algorithm
Published 2022“…The experimental results show that our E2IDS not only overcomes the benchmark work but also reduces the complexity of the computing process.…”
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Artificial intelligence revolutionising the automotive sector: A comprehensive review of current insights, challenges, and future scope
Published 2025“…The transformative impact of Artificial Intelligence (AI) has revolutionised multiple facets of the automotive industry, encompassing intelligent manufacturing processes, diagnostic systems, control mechanisms, supply chain operations, customer service platforms, and traffic management solutions. …”
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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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An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
Published 2018“…Since the emergence of AIS, it has proved itself as an area of computational intelligence. …”
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Humanizing AI in Higher Education: Rethinking HR, Ethics, and Skill Development for University Employees in the SDG Era
Published 2025“…The rapid integration of Artificial Intelligence (AI) in higher education presents a profound dilemma of how universities can balance technological innovation with ethical governance and sustainable human resource (HR) practices. …”
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Content-based feature selection for music genre classification
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Real-time personal protective equipment compliance detection using you only look once
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Comparative analysis of danger theory variants in measuring risk level for text spam messages
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Enhancing going concern prediction with Anchor explainable AI and attention-weighted XGBoost
Published 2024“…This integration not only makes the prediction process more transparent but also advances the field towards more interpretable AI solutions. …”
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Development of Deep Learning Classification Model for Diabetic Retinopathy Detection and Grading
Published 2023“…Hence, studies have been working towards automating medical diagnosis by incorporating Artificial Intelligence (AI) in their system. The rapid growth of technologies and AI has led to the development of Deep Learning (DL), in which its algorithms are stacked in a hierarchy of increasing complexity and abstraction. …”
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Development of visual odometry based machinery motion assessment system / Low Shee Teng
Published 2022“…New methods for gathering information about the vibration of the machine have evolved simultaneously with the constant improvement of the visual odometry (VO) systems due to the rapid development of computer vision (CV) field. Digital image analysis, video analysis, and other visual inputs are all examples of CV, which is a branch of artificial intelligence (AI) that empowers computers or systems to obtain significant information from digital images, videos, as well as other visual inputs and to take actions or make recommendations based on this information. …”
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Design optimization and navigation for autonomous guided vehicle (AGV) in agriculture plantation
Published 2024“…The Industrial Revolution (IR) 4.0 is altering the way we communicate, work, and live. However, automation and artificial intelligence (AI) have increasingly the potential to be applied in agricultural plantations. …”
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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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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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