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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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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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Processing time estimation in precision machining industry using AI / Lim Say Li
Published 2017“…In this research, a system is designed to estimate processing time by using artificial intelligence knowledge. …”
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Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State
Published 2022“…It is followed by identifying RES sites using spatial data and Multi-Criteria Decision Making-Analytical Hierarchy Process (MCDM-AHP) algorithm. Accordingly, Spatial-Artificial Intelligence (AI) approach is utilised to integrate a high number of RES sites with minimum total distance. …”
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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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Artificial intelligence technique in solving nano-process parameter optimization problem / Norlina Mohd Sabri...[et al.]
Published 2017“…This research is proposing artificial intelligence (AI) technique as the alternative technique to overcome the sputtering process parameter optimization problem. …”
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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 -
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Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing
Published 2022“…The proposed AI algorithm integrates two deep learning models which are object detection algorithm and reinforcement learning. …”
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E2IDS: an enhanced intelligent intrusion detection system based on decision tree algorithm
Published 2022“…Fortunately, Artificial Intelligence (AI) has recently attracted a lot of attention, and it is now a principal component of these systems. …”
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Embracing AI in travel and tourism industry / Ranee Atlas, Tina Stephen Enggong and Saifulrizan Norizan
Published 2023“…AI is defined as the simulation human intelligence processed by machines, particularly computer systems. …”
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A refined differential evolution algorithm for improving the performance of optimization process
Published 2011“…Various Artificial Intelligent (AI) algorithms can be applied in solving optimization problems. …”
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Conference or Workshop Item -
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What’s the fuss about artificial intelligence (AI) tools? / Nur Zania Azurin Abdullah Sani and Ahmad Shazeer Mohamed Thaheer
Published 2023“…Artificial intelligence (AI) is a rapidly growing field that is transforming various industries and aspects of our lives. …”
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Artificial Intelligence (AI) as a Fatwa Assistance Tool
Published 2026“…Algorithm-based AI lacks the capability to grasp maqāṣid al-sharīʿah, public interest (maṣlaḥah), and social context—elements essential to the process of ijtihad. …”
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Systematic review on Artificial Intelligence (AI) enabled insurance sector
Published 2025“…This study looks into the application of AI technology in the insurance industry, through a systematic literature review, the study initially sorts out the status and progress of existing studies on the application of AI based on risk assessment, claims processing, customer service, and product personalization. …”
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A technical perspective on integrating artificial intelligence to solid‑state welding
Published 2024“…In UW, ANN, Hybrid ANN, and ML models predict output parameters with accuracy levels ranging from 85 to 96%. Integrating AI techniques with optimization algorithms, for instance, GA and Particle Swarm Optimization (PSO) significantly improves accuracy, enhancing parameter prediction and optimizing UW processes. …”
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An efficient AdaBoost algorithm for enhancing skin cancer detection and classification
Published 2024“…To tackle these issues, researchers have explored the application of artificial intelligence (AI) tools, particularly machine learning techniques such as shallow and deep learning, to enhance the diagnostic process for skin cancer. …”
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A technical perspective on integrating artificial intelligence to solid‑state welding
Published 2024“…In UW, ANN, Hybrid ANN, and ML models predict output parameters with accuracy levels ranging from 85 to 96%. Integrating AI techniques with optimization algorithms, for instance, GA and Particle Swarm Optimization (PSO) significantly improves accuracy, enhancing parameter prediction and optimizing UW processes. …”
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