Search Results - (( java _ machine algorithm ) OR ( basic computing data algorithm ))
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1
Design Of Robot Motion Planning Algorithm For Wall Following Robot
Published 2006“…Computer B will send the data to the BASIC Stamp and the BASIC Stamp will check their program. …”
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2
Teaching and learning via chatbots with immersive and machine learning capabilities
Published 2019“…These chatbots acquired its intelligence through a hybrid approach that combines pattern-matching technique and machine learning algorithm in order to formulate its responses. …”
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3
CSC645 - Algorithm Analysis and Design / College of Computing, Informatics and Media
Published 2022“…This course focuses on both the design and analysis of algorithms. It provides students with basic knowledge and techniques required to design efficient algorithms and analyse their efficiency, as well as demonstrate the key relationships between problem solving, algorithm design, data structures, programs and algorithm analysis, and the effects of the choices. …”
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4
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The support vector machines (SVM) algorithm obtained the overall best results of 94.5% accuracy, 91.8% precision, 91.7% recall, and 91.1% f-Measure while the naïve bayes (NB) algorithm obtained the best AUC score of 0.944 with the tweet data of Dato Seri Anwar. …”
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5
CSC645: Algorithm Analysis and Design / College of Computing, Informatics and Mathematics
Published 2019“…This course focuses on both the design and analysis of algorithms. It provides students with basic knowledge and techniques required to design efficient algorithms and analyse their efficiency, as well as demonstrate the key relationships between problem solving, algorithm design, data structures, programs and algorithm analysis, and the effects of the choices. …”
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6
CSC126 - Fundamentals of Algorithms and Computer Problem Solving / Faculty of Computer And Mathematical Sciences
Published 2023“…Students will be taught to solve problems involving the 5 basic algorithms of summation, average, counting, as well as determining the minimum and maximum values of a set of data. …”
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7
Voting algorithms for large scale fault-tolerant systems
Published 2011“…By extracting various plots from different aspects, we demonstrated that, compared to the basic algorithm, our algorithm has higher reliability and availability as the quantity of the input data increases. …”
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8
Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
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9
Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…The features extracted of time domain and frequency domain in vibration and acoustic will use as database of a Support Vector Machine (SVM) algorithms by using MATLAB R2021a. The result from the SVM algorithms will be used as database for the machine learning in Microsoft Azure. …”
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10
A network based fetal ECG monitoring algorithm
Published 2011“…The hardware data acquisition system acquires the mother’s AECG data by using a commercial ECG frontend microchip, called CARDIC and stores the data in a local computer terminal. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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13
Ant system with heuristics for capacitated vehicle routing problem
Published 2013“…The computational results suggest that the AS approach embedded with heuristic(s) outperforms the pure AS algorithm. …”
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14
Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
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15
System identification using Extended Kalman Filter
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Modifying iEclat algorithm for infrequent patterns mining
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Examination timetabling using genetic algorithm case study: KUiTTHO
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Modifying iEclat algo ithm for infrequent patterns mining
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19
AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. …”
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Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024“…In this paper, the stacking ensemble method is used to increase the accuracy of the machine learning model for LSM where the base (first-level) learners use five ML algorithms namely decision tree (DT), k-nearest neighbor (KNN), AdaBoost, extreme gradient boosting (XGB) and random forest (RF). …”
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