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Tacit knowledge for business intelligence framework using cognitive-based approach
Published 2022“…Tacit knowledge becoming a key issue in business intelligence approach to knowledge systems. Capturing the tacit knowledge is not a straightforward task, since it consists of unstructured data and related to a variety of information that is not always accessible through traditional means. …”
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Thesis -
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A Novel Model on Curve Fitting and Particle Swarm Optimization for Vertical Handover in Heterogeneous Wireless Networks
Published 2015“…This study uses two modules that utilize the particle swarm optimization (PSO) algorithm to predict and make an intelligent vertical handover decision. …”
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Development of an accurate AI-based dermatology assistant for skin disease recognition using YOLOv8 models
Published 2024“…After 500 training epochs, the YOLOv8 Small Model was the most accurate, achieving a precision of 84%, a recall of 77.1%, and a mean average precision (mAP) of 84%. The potential of the proposed AI-based assistant to significantly improve healthcare accessibility and diagnostic accuracy in underserved areas is demonstrated through rigorous testing, which validates its effectiveness. …”
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AI Adoption for Steam Boiler Trip Prevention in Thermal Power Plants
Published 2025“…Furthermore, the hybrid system exhibited a marginal improvement of 0.1% in Root Mean Square error compared to the pure ANN system. …”
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Cohesive token passing algorithm utilizing software agents
Published 2010“…In this paper, the limitation of Token Ring algorithm for IP networks in the context of intelligent processing has been researched extensively. …”
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Artificial intelligent power prediction for efficient resource management of WCDMA mobile network
Published 2023“…This artificial intelligent call admission control (CAC) was validated using a dynamic WCDMA mobile network simulator. …”
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DESIGN AND IMPLEMENTATION OF INTELLIGENT MONITORING SYSTEMS FOR THERMAL POWER PLANT BOILER TRIPS
Published 2011“…The encoding and optimization process using genetic algorithms has been applied successfully. A slightly lower root mean square error was observed in the second system which reveals that the hybrid intelligent system performed better than the pure neural network system. …”
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Evaluating enhanced predictive modeling of foam concrete compressive strength using artificial intelligence algorithms
Published 2025“…The experimental data is then validated using metrics such as coefficient of determination (R2), root mean square error, and root mean error. …”
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Enhanced hierarchical dynamic bandwidth allocation algorithm with excess bandwidth and SLA techniques for upstream ethernet PON
Published 2023“…We show the results of simulations to validate the effectiveness of algorithms presented and to provide quality of service (QoS) for triple play real time services in Ethernet passive optical networks (EPONs). � 2009 IEEE.…”
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Intelligent web proxy cache replacement algorithm based on adaptive weight ranking policy via dynamic aging
Published 2016“…From the pseudocode of the proposed algorithm, it is observed that the complexity of the algorithm is O(n) which is linear, hence the response time is considered good. …”
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Students’ perceptions towards the ethical considerations of using artificial intelligence algorithms in clinical decision-making
Published 2024“…Abstract Aim: The present study aimed to explore the perceptions of dental students regarding the ethical considerations associated with the use of artificial intelligence (AI) algorithms in clinical decision-making. …”
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Prediction of photovoltaic system output using hybrid Cuckoo Search Least Square Support Vector Machine / Muhammad Aidil Adha Aziz
Published 2019“…This thesis presents a practical and reliable approach for the prediction of PV power output using an intelligent-based technique namely Cuckoo Search Algorithm - Least Square Support Vector Machine (CS-LSSVM). …”
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Thesis -
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Adaptable algorithms for performance optimization of dynamic batch manufacturing processes
Published 2018“…Central to precision manufacturing is artificial intelligence as this thesis presents the performance characteristics of tuning-based, rule-based, learning-based and evolutionary-based algorithms. …”
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Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…The classification algorithm used in this research is the Convolutional Neural Network (CNN) algorithm. …”
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