neural network classification system
Artificial Neural Network Classification for Gunshot Detection and Localization System
... a system and a method to identify acoustic events such as gunshots and to locate the shooter's location as quickly as ...a system to detect gunshots and to locate the shooter's ...Artificial Neural ...
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Prediction of Skin Cancer Using Morphological Neural Network Analysis
... deep neural networks for image ...image classification using MNNs, such as Chen et ...Complementary Neural Networks (CMTNN) and Error-Correcting Output Codes (ECOC) in solution multiclass ...
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Neural network diagnostic system for dengue patients risk classification
... 2005a, 2005b [7, 8] utilized the Bioelectrical Impedance Analysis (BIA) technique for monitoring and classifying the daily risk in DHF patients. The results demonstrated the capability of the reactance for classifying ...
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A Survey Paper on Detection and Classification of Leaf Diseases in Plants
... Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process ...example. Neural networks can be hardware ...
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Breast Cancer Classification using Feed Forward Back Propagation Neural Network (BPNN) Classifier
... Histologically, the breast is divided in 15 to 20 lobes or segments. Working backwards from the nipple, each lobe begins with a major duct that transfers the milk to the nipple during lactation. This major duct branches ...
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Identification Of Weeds From Crops Using Convolutional Neural Network
... robotics system for automating certain agriculture activities that employ an unmanned ground vehicle (UGV) provided with a high resolution camera of multi spectral ...and classification tasks in the ...
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Using Artificial Neural Network Classification and Invention of Intrusion in Network Intrusion Detection System
... computer system and network from ...break network. Intrusion detection system is one type of tool that help to prevent unauthorized access to network resources by analyzing access to ...
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Design And Development Of Convolutional Neural Network (CNN) Enabled Smart Camera Based User Entrance Intention Detection System
... hand-crafted system are obvious when it is employed with large scale datasets as it requires millions of templates for template ...Convolution Neural Network (CNN) shows its great performance for ...
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Intelligent Neural Network For Bacteria Classification: An Innovation In Artificial Neural Network
... transmitted from one person to another through fecal-oral contact or mechanical transmitter like houseflies.. It is liable for abdominal pain, bloody diarrhoea, stomach cramps, and fever in human beings [12, 13]. ...
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Protection and Controlling of Transmission Lines by using Machine Learning Techinique
... electrical system is at intervals the tactic to convert into smart power system with interconnected national and regional ...wattage system is growing, and quality in all sectors like generation, ...
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A Survey on Analysis of ANN and KNN Classifier for Image Classification with Discrete Wavelet Transform
... image classification using neural network and wavelet ...The system was trained to detect an image in the presence of one of six different ...of neural network. We use the back ...
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Analysis of Rice Granules using Image Processing and Neural Network Pattern Recognition Tool
... and classification of different grains such as wheat, Bengal gram, groundnut, ...artificial neural network approach is used in the Identification and classification of the bulk grain samples ...
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Video Classification with Recurrent Neural Network
... video classification based on Generalized Maximum Clique Problem (GMCP) which uses the co-occurrence of concepts as the context ...based classification technique for sports ...The system has ...
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An Automated System for Identification of Skeletal Maturity using Convolutional Neural Networks Based Mechanism
... radius classification results. We can observe that the classification accuracy of the radius has its highest accuracy of ...third network classification on the other hand ulna of ...
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Beat classification of an ecg signal using photoplethysmography and neural network
... A complete ECG cycle contains five major points (P, Q, R, Sand T) and few time interval parameters (PR, QRS, QT) for checking heart condition. A prolonged PR interval indicates a possibility of first stage heart block. A ...
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Neural Network Based Individual Classification System
... concept Classification. This paper aims at designing and developing a Neural Network model for individual classification ...the network based on the unsupervised and supervised training ...
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Support Vector Machine Neural Network Based Optimal Binary Classifier for Diabetic Retinopathy
... Various neural network algorithms were used to develop diagnosis system such as Levenberg-Marquardt learning algorithm, classification tree analysis, Probabilistic Neural network ...
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Application research of convolution neural network in image classification of icing monitoring in power grid
... points to achieve real-time monitoring of icing, the monitoring center personnel or expert judgment and warning system, the guidance of the relevant depart- ments of power system on line deicing measure is ...
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Prediction of Heart Disease using RNN Algorithm
... Analysis (GSEA). The gene expression information acquired through such advances can be valuable for some applications in bioinformatics, if legitimately examined. For example, they can be utilized to encourage gene ...
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Medical image classification and symptoms detection using neuro fuzzy
... Teknik konvensional di dalam perubatan untuk pengkelasan dan pengesanan barah untuk imej magnetik resonan otak adalah dilakukan secara pemeriksaan manual. Teknik pengkelasan yang dibantu oleh operator adalah tidak ...
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