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Evaluation of fall detection classification approaches
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Genetic algorithm fuzzy logic for medical knowledge-based pattern classification
Published 2018“…This research proposed an algorithm named Genetic Algorithm Fuzzy Logic (GAFL) with Pittsburg approach for rules learning and induction in genetic fuzzy system knowledge discovery. …”
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3
Passive forward scatter radar based on LTE signal for vehicle detection and classification
Published 2018“…The Doppler spectrum scattered by the vehicle is used as the features for input to the classification system. The classification algorithm was developed based on Principal Component Analysis (PCA) and k-Nearest Neighbours (k-NN). …”
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Thesis -
4
Improved voting technique for ensemble of MLP system applied on various classification data / Saodah Omar, Iza Sazanita Isa and Junita Mohd Saleh.
Published 2010“…The results show that the multiple MLP system with voting technique had the capability to improve the classification correctness.…”
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Research Reports -
5
Hybrid signal processing and machine learning algorithm for adaptive fault classification of wind farm integrated transmision line protection
Published 2019“…The technological advancement in integration of Renewable Green Energy Sources (RGES) like Wind Farm Generators (WFG), and Photovoltaic (PV) system into conventional power system as a future solution to meet the increase in global energy demands in order to reduce the cost of power generation, and improve on the climate change impact. …”
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Design Of Feature Selection Methods For Hand Movement Classification Based On Electromyography Signals
Published 2020“…Therefore, this thesis aims to solve the feature selection problem in EMG signals classification and improve the classification performance of EMG pattern recognition system. …”
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An analysis of intrusion detection classification using supervised machine learning algorithms on NSL-KDD dataset / Sarthak Rastogi ... [et al.]
Published 2022“…Anomaly based intrusion detection is a type of intrusion detection system that identifies anomalies. Conventional IDS are less accurate in detecting anomalies because of the decision taking based on rules. …”
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Using convolution neural networks for improving customer requirements classification performance of autonomous vehicle
“…As the results, the accuracy of CNN classification has improved at least 6 percent compared to the conventional algorithms.…”
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Classification of chest radiographs using novel anomalous saliency map and deep convolutional neural network
Published 2021“…However, conventional bottom-up saliency map algorithms regularly failed to localize salient or pathological anomalies in medical images. …”
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Enhancement of bearing defect diagnosis via genetic algorithm optimized feature selection
Published 2015“…Results show that the reinforced network classifier with GA feature selection algorithm has successfully increased the classification accuracy of training process and testing process by 13.87% and 14.21% respectively compared to the conventional neural network classifier. …”
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Thesis -
11
Genetic algorithm fuzzy logic for medical knowledge-based pattern classification
Published 2023“…This research proposed an algorithm named Genetic Algorithm Fuzzy Logic (GAFL) with Pittsburg approach for rules learning and induction in genetic fuzzy system knowledge discovery. …”
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Adapting robot kinematics for human-arm motion recognition
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Weed recognition based on erosion and dilation segmentation algorithm
Published 2009“…In this paper an algorithm is developed for automatic spray control system. …”
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Development Of An Intelligent System For River Water Quality Classification Based On Algae Composition
Published 2006“…The proposed system provides several advantages in terms of its applicability, high accuracy, user-friendliness and as well as yields faster results compared to conventional system.…”
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Monograph -
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A protocol for developing a classification system of mosquitoes using transfer learning
Published 2022“…With conventional approach of data collection, the process of sorting and classification are laborious and time-consuming. …”
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Development of vehicle counting system by using background subtraction technique / Muhammad Fadhli Md Azemin
Published 2018“…With a view to improvement, it is proposed to develop a unique algorithm for vehicle classification and counting using Gaussian Mixture Model (GMM) and blob analysis method. …”
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Student Project -
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Model-based fault detection and diagnosis optimization for process control rig
Published 2013“…The results show that the fuzzy-GA model gives more accurate fault classifications as compared to the conventional fuzzy logic model.…”
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Hybrid Algorithm for Hand Gesture Recognition
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20
IoT-Enabled Waste Tracking and Recycling Optimization : Enhancing Sustainable Waste Management
Published 2025“…The increasing inefficiencies in conventional waste management systems, including suboptimal recycling rates and environmental degradation, necessitate innovative solutions. …”
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