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Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm
Published 2013“…Multi-objective optimization of HRES by Evolutionary Algorithm have become attractive in recent years due to the effectiveness of such algorithms for complicated problems. …”
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Harmony Search algorithm-based gasoline consumption modeling for Indonesia
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Mathematical Modelling and Optimisation of Hydrogen Production from Photo-Fermentation in Microbial Electrolysis Cell using Sago Waste with Neural Network Algorithm
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Final Year Project Report / IMRAD -
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Prediction of football club winning rate using Bayesian model algorithm / Adam Khairul Anuar
Published 2023“…Recommendations include continuous model training, detailed features, collaboration with experts, and exploring alternative algorithms. In essence, this research contributes to football analytics, offering a reliable Bayesian model for match outcome prediction.…”
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A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing
Published 2024“…The firefly algorithm remains a feasible alternative for shallow architectural network models, while metaheuristic algorithms such as the Particle swarm algorithm and Bat algorithm are better options for deeper architectural network models. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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An Efficient IDS Using Hybrid Magnetic Swarm Optimization in WANETs
Published 2018“…Our developed algorithm works in extracting the most relevant features that can assist in accurately detecting the network attacks. …”
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An efficient IDS using hybrid Magnetic swarm optimization in WANETs
Published 2018“…Our developed algorithm works in extracting the most relevant features that can assist in accurately detecting the network attacks. …”
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Development of gesture database for an adaptive gesture recognition system
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Working Paper -
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Deep learning-based colorectal cancer classification using augmented and normalised gut microbiome data / Mwenge Mulenga
Published 2022“…First, to investigate the methods used to address limitations associated with microbiome-based datasets in colorectal cancer identification using deep neural network algorithms. Second, to develop novel techniques that combine the strengths of normalisation, feature engineering and data augmentation to address the problem of dimensionality, feature dominance and sparsity in colorectal cancer identification based on gut microbiome data, using deep neural network algorithms. …”
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Hybrid Swarm Intelligence-Based Optimization for Charging Plug-in Hybrid Electric Vehicle
Published 2015“…The charging infrastructure has its own complexities when it is compared with petrol stations because of the involvement of the different charging alternatives. As a result, the topic related to optimization of Plug-in hybrid electric vehicle charging infrastructure has attracted the attention of researchers from different communities in the past few years. …”
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Conference or Workshop Item -
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Tubular linear switched reluctance actuator: Design and characterization
Published 2022“…The tubular LSRA has a robust construction, low manufacturing and maintenance cost, good fault tolerance capability, and high reliability in a harsh environment, making it an attractive alternative to a permanent magnet linear actuator. …”
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Peak To Average Power Ratio Reduction In Wireless Orthogonal Frequency Division Multiplexing
Published 2014“…A trend of OFDM development is to increase the number of subcarriers to enhance efficiency. …”
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Tubular Linear Switched Reluctance Actuator: Design And Characterization
Published 2019“…In addition, the tubular LSRA has robust construction, low manufacturing and maintenance cost, good fault tolerance capability and high reliability in the harsh environment make it an attractive alternative to permanent magnet linear actuator. …”
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A statistical approach for pavement layer moduli backcalculation as a function of traffic speed deflections
Published 2022“…Such feasible prediction models provided an attractive alternative for making a better primary prediction about pavement deflection in a quite short time with a very low error rate. …”
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Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data
Published 2011“…In this thesis, we considered two methods via the expectation maximization (EM) algorithm for cure rate estimation based on the BCH model using the two censoring types common to cancer clinical trials; namely, right and interval censoring. …”
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An investigation of interference coordination in heterogeneous network for LTE-Advanced systems
Published 2013“…For the Malaysian service providers, the main attractions of femtocell usage are the improvements to both coverage and capacity. …”
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