Search Results - (( frames operation machine algorithm ) OR ( java application learning algorithm ))
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A fuzzy approach for early human action detection / Ekta Vats
Published 2016“…In order to perform early human action detection, the conventional classification problem is modified into frame-by-frame level classification. There exists well-known classifiers such as Support Vector Machines (SVM), K-nearest Neighbour (KNN), etc. to perform action classification. …”
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Single Machine Connected Infinite Bus system tuning coordination control using biogeography-based optimization algorithm
Published 2023“…The simulation results obtained will confirm the effectiveness of proposed algorithm and the impact of stability studies of power system operation under disturbances. …”
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A deep reinforcement learning hybrid algorithm for the computational discovery and characterization of small proteins utilizing mycobacterium tuberculosis as a model
Published 2025“…This study presents the development and evaluation of a novel hybrid machine learning algorithm that integrates the strengths of Random Forest and Gradient Boosting models to enhance the prediction of smORFs. …”
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Development of sorting system for oil palm in vitro shoots using machine vision approach
Published 2014“…Ultimately, the sorting algorithm performance came to be evaluated by support vector machine algorithm. …”
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Enhanced dynamic security assessment for power system under normal and fake tripping contingencies.
Published 2019“…The results indicate that the hybrid LMT accurately assesses the dynamic security status of the system under normal and fake tripping contingencies with short time frame. The results show that the proposed method has 98.4126%, 98.3606%, and 99.537% accuracy and requires 22.22%, 23.529 % and 25.27% less computational time as compared to the conventional LMT algorithm in assessing the dynamic security status of the IEEE 3-machıne 9-bus, the IEEE 5-machıne 14-bus, and the IEEE 6-machıne 30-bus test system models, respectively. …”
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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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Designing machine learning frameworks for intelligence and gamification research / Nordin Abu Bakar
Published 2016“…Machine learning frameworks have been utilised to facilitate intelligence as operational mechanism in intelligence embedded system such as learning system, prediction protocol and robot navigation system. …”
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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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Vibration Signal for Bearing Fault Detection using Random Forest
Published 2024“…Fourth, the RF algorithm classifier recognized the data frame's actual predictions, which were 99% correct for normal bearings, 97% accurate for outer races, 94% accurate for inner races, and 97% accurate for roller element faults. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Detection and Classification of Moving Objects for an Automated Surveillance System
Published 2006“…The system operates on colour video imagery from a stationary camera. …”
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Detection and classification of moving objects for an automated surveillance system
Published 2006“…The system operates on colour video imagery from a stationary camera. …”
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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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Vibration signal for bearing fault detection using random forest
Published 2023“…Fourth, the RF algorithm classifier recognized the data frame's actual predictions, which were 99% correct for normal bearings, 97% accurate for outer races, 94% accurate for inner races, and 97% accurate for roller element faults. …”
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Towards Enhancing the Performance of Grid-Tied VSWT via Adopting Sine Cosine Algorithm-Based Optimal Control Scheme
Published 2021“…The GSI is used to regulate the direct current (DC)-link voltage and to keep the terminal voltage at the desired frame set by the operator. To obtain the optimum PI gains, the SCA is applied to minimize the sum of the integral squared error (ISE) of twelve PI controllers error inputs in the control schemes simultaneously. …”
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Detection and classification of moving objects for an automated surveillance system
Published 2006“…The system operates on colour video imagery from a stationary camera. …”
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