Search Results - (( intelligence system _ algorithm ) OR ( intelligence open learning algorithm ))
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1
Hybrid Intelligent Warning System for Boiler tube Leak Trips
Published 2023“…Artificial intelligence; Boilers; Coal; Fossil fuel power plants; Genetic algorithms; Intelligent systems; Learning systems; Neural networks; Thermoelectric power plants; Artificial intelligent; Coal-fired power plant; Detection and diagnosis; Extreme learning machine; Hybrid intelligent system; Reliable monitoring systems; Thermal power plants; Training algorithms; Monitoring…”
Conference Paper -
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A New Machine Learning-based Hybrid Intrusion Detection System and Intelligent Routing Algorithm for MPLS Network
Published 2024Subjects:Article -
3
Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…An Intelligent Learning System for the turning process was developed. …”
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Thesis -
4
Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications
Published 2025“…This proposal discusses the techniques of optimizing and deploying machine learning algorithms on embedded devices for manufacturing applications; We investigate problems of printed circuit board (PCB) defects and artificial intelligence in embedded system. …”
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Final Year Project / Dissertation / Thesis -
5
Pure intelligent monitoring system for steam economizer trips
Published 2023“…Economizers; Failure (mechanical); Fault detection; Knowledge acquisition; Learning algorithms; Learning systems; Neural networks; Plant shutdowns; Steam; Thermoelectric power plants; Extreme learning machine; Fault detection and diagnosis systems; Intelligent modeling; Intelligent monitoring systems; Network methodologies; Operational conditions; Operational variables; Thermal power plants; Steam power plants…”
Conference Paper -
6
A Modified Hybrid Fuzzy Controller for Real-Time Mobile Robot Navigation
Published 2023“…Algorithms; Controllers; Fuzzy clustering; Fuzzy systems; Intelligent control; Intelligent systems; Learning algorithms; Least squares approximations; Membership functions; Mobile robots; Navigation; Robotics; Robots; Smart sensors; and ANFIS; Apriori algorithms; Fuzzy C mean; Gradient descent algorithms; Hybrid-fuzzy controllers; Mobile Robot Navigation; Subtractive clustering; Subtractive clustering algorithms; Clustering algorithms…”
Conference Paper -
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Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions
Published 2024Subjects:Article -
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Machine learning: tasks, modern day applications and challenges
Published 2019“…Machine learning algorithms learned from available data. Further, this learning laid the foundation to develop AI for the various systems around us. …”
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Article -
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Overhead view based person counting using deep learning
Published 2022“…However, the counting accuracy of Centroid Tracking algorithm is about 22.2% lower than the DeepSORT tracking algorithm. …”
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Final Year Project / Dissertation / Thesis -
10
Predicting longitudinal dispersion coefficient using ensemble models and optimized multi-layer perceptron models
Published 2024Subjects:Article -
11
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. …”
Article -
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An empirical study of TensorFlow lite performances in Raspberry Pi / Mohamad Harith Mohd Zahid
Published 2020“…Therefore, with the use of deep learning open-source tools land pre-existed models from KERAS. …”
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Student Project -
13
A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting
Published 2023“…Climate change; Fuzzy inference; Fuzzy neural networks; Fuzzy systems; Genetic algorithms; Hydrology; Particle swarm optimization (PSO); Reservoirs (water); Stream flow; Support vector machines; Water supply systems; Adaptive neuro-fuzzy inference system; Artificial bee colony; Artificial neural network; Genetic algorithm; Intelligence modeling; Optimization algorithms; Particle swarm optimization; Reservoir inflow; Streamflow forecasting; Support vector machine; Forecasting…”
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A quick gbest guided artificial bee colony algorithm for stock market prices prediction
Published 2018“…Still, predicting an exact or near-to-exact trend of the Stock Market values behavior is an open problem. In this respect, in the present manuscript, we propose an algorithm based on ABC to minimize the error in the trend and actual values by using the hybrid technique based on neural network and artificial intelligence. …”
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Article -
16
Application of phi (Φ), the golden ratio, in computing: a systematic review
Published 2024“…The review also categorizes findings by their specific applications and contexts, providing valuable insights into φ’s impact on mathematics, cryptography, search algorithms, machine learning, artificial intelligence, photonics, natural sciences, system design, power engineering, robotics, and practical human life. …”
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17
Medical Image Analysis Using Deep Learning and Distribution Pattern Matching Algorithm
Published 2023Article -
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Application of Artificial Intelligence In Smart City
Published 2021“…Proposals on AI application trends in the Economic dimension are regulated Unmanned Aerial Vehicle (UAV) application, create open resources of data sources, algorithms, and sources of economic AI machines, and assist in financial analysis of the smart city. …”
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Final Year Project / Dissertation / Thesis -
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Systematic review on ai-blockchain based e-healthcare records management systems
Published 2022“…Finally, the emphasized taxonomy combines blockchain and artificial intelligence, which enables us to analyze possible blockchain and artificial intelligence applications in health records management systems. …”
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Article -
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Review of intelligence for additive and subtractive manufacturing: current status and future prospects
Published 2023“…Similarly, AM product quality can be improved through the online monitoring of melt pool and defect formation using suitable sensing devices followed by process control using machine learning (ML) algorithms. Challenges in implementing intelligent additive and subtractive manufacturing systems are also discussed in the article. …”
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