Search Results - (( intelligence based means algorithm ) OR ( intelligence based due algorithm ))
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A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing
Published 2024“…Consequently, the study involved exploiting optimization techniques to enhance the training artificial intelligence algorithm for streamflow forecasting from a gradient-based to a stochastic population-based approach in several aspects, including solution quality, computational effort, and parameter sensitivity on streanflow in Johor, Malaysia. …”
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Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm
Published 2019“…Through the fusion of swarm intelligence algorithm, the mean values of inferior color channels are adjusted to be closed to the mean value of superior color channel. …”
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Sustainable Management Of River Water Quality Using Artificial Intelligence Optimisation Algorithms
Published 2021“…This study is aimed at proposing a superior artificial intelligence optimisation algorithm for sustainable river water quality management. …”
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Final Year Project / Dissertation / Thesis -
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Speech enhancement using deep neural network based on mask estimation and harmonic regeneration noise reduction for single channel microphone
Published 2022“…Moreover, the task of removing noises without causing speech distortion is also challenging, in which the quality and intelligibility of speech are affected. In order to overcome these issues, a supervised Deep Neural Network (DNN) algorithm predicted constrained Wiener Filter (cWF) target mask algorithm based on extracted Gammatone filter bank power spectrum (GF-TF) features and trained model is developed. …”
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Hybrid intelligent approach for network intrusion detection
Published 2015“…Hence, there must be substantial improvement in network intrusion detection techniques and systems. Due to the prevailing limitations of finding novel attacks, high false detection, and accuracy in previous intrusion detection approaches, this study has proposed a hybrid intelligent approach for network intrusion detection based on k-means clustering algorithm and support vector machine classification algorithm. …”
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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“…Therefore, a fully artificial intelligent (AI)-integrated sun-tracking algorithm is proposed and can be used in any type of sun-tracking systems such as concentrated photovoltaic (CPV), flat photovoltaic (PV) or heliostat systems. …”
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Final Year Project / Dissertation / Thesis -
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Intelligent grading of agarwood essential oil quality using artificial neural network (ANN) / Noratikah Zawani Mahabob
Published 2022“…This research proposes an intelligent technique for grading agarwood essential oil based on its chemical properties using the artificial neural network (ANN) technique. …”
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Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…This research proposes a low-cost alternative using intelligent fruit selection systems based on computer vision techniques to address these issues. …”
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Dermedys: Android-based dermatological diagnostic and analytic expert system
Published 2017“…An android application, ‘Dermedys’ with a knowledge base of five erythemato-squamous diseases was developed to implement the algorithm.…”
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The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques
Published 2016“…In the future, it is expected that the detection from a tracking algorithm will automatically switch the traffic light signals based on the road conditions. …”
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Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines
Published 2020“…The BayesNet provides the best integrated MLADR fault classifier model better at a 5 % significance level than other deployed algorithms in the intelligent supervised learning model realization. …”
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Grammar-based prosody modification for explicit control Malay language storytelling speech synthesis / Muhammad Izzad Ramli
Published 2018“…As for the perception test evaluated by nine native speakers, results showed that grammar-based rule with limitation rule is able to outperform local and global rules by achieving the naturalness, intelligibility and similarity Mean Opinion Score (MOS) of 4.11, 4.47 and 4.06, respectively using a five-point scale. …”
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Optic cup and optic disc segmentation using improved selfish gene algorithm / Norharyati Md Ariff
Published 2016“…In addition, this new algorithm is compared to color channel multi-thresholding segmentation and artificial intelligence segmentation based clustering method such as Adaptive Neuro-Fuzzy Inference System (ANFIS) and Fuzzy cMeans (FCM). …”
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Weather prediction in Kota Kinabalu using linear regressions with multiple variables
Published 2021“…The root mean square error is used to compare the performance of the algorithms. …”
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Proceedings -
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Perovskite lattice constant prediction framework using optimized artificial neural network and fuzzy logic models by metaheuristic algorithms
Published 2023“…On the basis of root mean square error (RMSE), mean absolute error (MAE) and the coefficient of determination (R2), the proposed PSO-ANN and PSO-Fuzzy based models are compared with existing and recent models such as Ubic, Sidey, and Owolabi. …”
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