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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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Ethical concerns about the applications of artificial intelligence in healthcare practices: an explanatory review
Published 2021“…Artificial intelligence technologies that benefited healthcare include machine learning, natural language processing, rule-based expert system, physical robots, and robotics process automation. …”
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Artificial Intelligence (AI) to predict dental student academic performance based on pre-university results
Published 2022“…Objective: This study aims to predict the academic performance of dental students based on their admission results using Artificial Intelligence. …”
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Artificial Intelligence (AI) to predict dental student academic performance based on pre university results
Published 2021“…This study aims to predict the academic performance of dental students based on their admission results using Artificial Intelligence. …”
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Interactive design psychology and artificial intelligence-based innovative exploration of Anglo-American traumatic narrative literature
Published 2022“…First, by studying natural language processing (NLP) technology, this study proposes a modification language model (LM) based on the double-layered recurrent neural network (RNN) algorithm and constructs an intelligent language modification system based on the improved LM model. …”
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Artificial intelligence in sustainability reporting / Prof. Dr Corina Joseph
Published 2023“…Corina delivering her speech titled "AI and SDGs: Resource-Based View Perspective." In the speech introduction, various definitions of Artificial Intelligence (AI) were provided. …”
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Inverse kinematic solution in handling 3R manipulator via real-time genetic algorithm
Published 2023“…The Artificial Intelligence (AI) machine usage examines various benefits of its applications in industries. …”
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A technical perspective on integrating artificial intelligence to solid‑state welding
Published 2024“…This study investigates thoroughly how AI-based predictions have impacted SSW by looking at methods like Artificial Neural Networks (ANN), Fuzzy Logic (FL), Machine Learning (ML), Meta-Heuristic Algorithms, and Hybrid Methods (HM) as applied to Friction Stir Welding (FSW), Ultrasonic Welding (UW), and Diffusion Bonding (DB). …”
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Artificial Immune Algorithm Based Gravimetric Fluid Dispensing Machine
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A technical perspective on integrating artificial intelligence to solid‑state welding
Published 2024“…This study investigates thoroughly how AI-based predictions have impacted SSW by looking at methods like Artificial Neural Networks (ANN), Fuzzy Logic (FL), Machine Learning (ML), Meta-Heuristic Algorithms, and Hybrid Methods (HM) as applied to Friction Stir Welding (FSW), Ultrasonic Welding (UW), and Diffusion Bonding (DB). …”
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ARTIFICIAL IMMUNE ALGORITHM BASED GRAVIMETRIC FLUID DISPENSING MACHINE
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Machine Learning Applications in Offense Type and Incidence Prediction
Published 2024“…We can develop targeted strategies to prevent and respond to such incidents by analyzing these patterns. Artificial Intelligence (AI) techniques encompass variouscomputational methods and algorithms designed to enable machines to perform tasks that typically require human intelligence. …”
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A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques
Published 2023“…Therefore, in this paper, we cover a new advancement in techniques used for the conversion of oil/fat to biodiesel and the role of artificial intelligence (AI). AI approaches help predict the effectiveness of biodiesel production techniques and optimize the process, in addition to minimizing the cost of the process. …”
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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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Depression prediction using machine learning: a review
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Content-based feature selection for music genre classification
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An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
Published 2018“…It also has the ability to learn, recognize, and remember, thus providing the solid foundation for the development of Artificial Immune System (AIS). Since the emergence of AIS, it has proved itself as an area of computational intelligence. …”
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Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning
Published 2023“…This research explores the application of unsupervised learning, a subset of Artificial Intelligence (AI), to analyze customer behavior in accepting personal loans within the banking sector. …”
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