Search Results - (( developing network cable algorithm ) OR ( java application learning algorithm ))
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Comprehensive power restoration approach using rule-based method for 11kV distribution network
Published 2023“…Developed algorithms are tested in two scenarios i.e. with and without technical and operational violation. …”
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Optimal design of low-voltage distribution networks for CO2 emission minimisation. Part II: Discrete optimisation of radial networks and comparison with alternative design strategi...
Published 2011“…The implementation of the network design algorithm is illustrated for a realistic large low-voltage urban network in a UK framework. …”
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A comprehensive power restoration approach using rule-based method for 11kV distribution network
Published 2008“…Developed algorithms are tested in two scenarios i.e. with and without technical and operational violation. …”
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Conference or Workshop Item -
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Time Domain Reflectometry Computational Technique Using Agilent Vee
Published 2007“…Measurements were done on waveguides and coaxial cable using HP 8720B network analyzer. The vector network analyzer (VNA) has a time domain capability where transformation from frequency to time domain data is realized using chirp z-transform (CZT) which can be utilized to locate short circuit discontinuities. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Bayesian Network Classifiers for Damage Detection in Engineering Material
Published 2007“…The automation of damage detection in engineering material using intelligent techniques (e.g. Neural networks) has not been matured enough to be practi- cable and needs more techniques to be implemented, improved, and developed. …”
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Fault diagnosis in unbalanced radial distribution networks using generalised regression neural network
Published 2011“…Nowadays, about 80% of interruptions are caused by faults in distribution networks and the application of fault location algorithms developed for transmission system is not an easy task due to the topology and operating principles of the distribution networks. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Intelligent Color Vision System For Ripeness Classification Of Oil Palm Fresh Fruit Bunch
Published 2015“…Then, the color features of the fruit region are extracted from the images and used as inputs to an Artificial Neural Network (ANN) model learning algorithm.…”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Features selection process can be considered a problem of global combinatorial optimization in machine learning. Genetic algorithm GA had been adopted to perform features selection method; however, this method could not deliver an acceptable detection rate, lower accuracy, and higher false alarm rates. …”
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Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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