Search Results - (( using function based algorithm ) OR ( _ identification task algorithm ))
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1
Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…The algorithm simulates two important tasks that are frequently used by the human experts to identify summarizing strategies used to produce the summary sentences: 1) sentences relevance identification; and 2) summarizing strategies identification. …”
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Thesis -
2
Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm
Published 2020“…The Gradient-Based Cuckoo Search (GBCS) algorithm was used to achieve the final objective. …”
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3
A comparative study of vibrational response based impact force localization and quantification using radial basis function network and multilayer perceptron
Published 2017“…Thus, there is a room for improvement to find an alternate algorithm that has great advantage over MLP. For this reason, this study proposes Radial Basis Function Network (RBFN) for possible further improvement in impact identification task. …”
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Article -
4
An Intelligent System Approach to the Dynamic Hybrid Robot Control
Published 1996“…Secondly, for the intelligent trajectory generation approach, the segmented tree neural networks for each link (inverse kinematics solution) and the randomness with fuzziness (coping the unstructured environment from the cost function) were used. A one-pass smoothing algorithm was used to generate a practical smooth trajectory path in near real time. …”
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5
Effective query structuring with ranking using named entity categories for XML retrieval
Published 2016“…Furthermore, it employs Predicates Identification Algorithm (PIA) and Entity Identification Algorithm (EIA) to identify user search intention. …”
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6
Human odour detection approach using machine learning
Published 2019“…The unsurpassed framework for learning algorithm to be used for human identification is Levenberg-Marquardt backpropagation learning algorithm. …”
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7
Electromygraphy (EMG) signal based hand gesture recognition using Artificial Neural Network (ANN)
Published 2011“…The EMG pattern signatures are extracted from the signals for each movement and then ANN utilized to classify the EMG signals based on features. A back-propagation (BP) network with Levenberg-Marquardt training algorithm has been used for the detection of gesture. …”
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Proceeding Paper -
8
Data Classification and Its Application in Credit Card Approval
Published 2004“…This project is involved with identification of the available algorithms used in data classification and the implementation of C4.5 decision tree induction algorithm in solving the data classifying task. …”
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Final Year Project -
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Automatic identification of epileptic seizures from EEG signals using sparse representation-based classification
Published 2020“…In this research, a fully automated system is presented to automatically detect the various states of the epileptic seizure. This study is based on sparse representation-based classification (SRC) theory and the proposed dictionary learning using electroencephalogram (EEG) signals. …”
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Article -
10
Named entity recognition using a new fuzzy support vector machine.
Published 2008“…Nowadays more researchers use three type of approaches namely, Rule-base NER, Machine Learning-base NER and Hybrid NER to identify names. …”
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11
Identifying the mechanism to forecast the progression of Alzheimer’s disease from mild cognitive impairment using deep learning
Published 2022“…This study also implemented a CNN algorithm based on 3D ResNet-18 model using weights from ImageNet for the classification task of CN vs AD and sMCI vs pMCI. …”
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Final Year Project / Dissertation / Thesis -
12
Fault Detection Relevant Modeling of an Industrial Gas Turbine based on Neuro-Fuzzy Approach
Published 2010“…Structure and network weights for the NF model are determined by a synergetic approach – Data clustering and Gradient Descent algorithm. Operation data collected in 10 seconds interval and for one day is used for model training and validation. …”
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Conference or Workshop Item -
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New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab. Aziz
Published 2014“…The competency of VSCI was corroborated in three tasks; weak bus identification, automatic line outage contingency ranking and weak area identification. …”
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14
Zero distortion-based steganography for handwritten signature
Published 2018“…Thus, developing a steganographic algorithm to use cover media (c) without raising attention is the most challenging task in data hiding. …”
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15
Efficient kerberos authentication scheme for cross-domain systems in industrial internet of things using ECC
Published 2021“…A new multi-factor authentication scheme is designed using the AES-ECC algorithm based on Kerberos workflow to establish secure, efficient, and lightweight communication between the user and the targeted IIoT devices to avoid the issues. …”
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16
A Comparative of Two-Dimensional Statistical Moment Invariants Features in Formulating an Automated Probabilistic Machine Learning Identification Algorithm for Forensic Application
Published 2023“…Theseempiricalresults also conveyed that the superior proposed identification algorithm in this research could be developed as a mobile application for ballistics identification that can significantly reduce the time taken and conveniently perform the ballistics identification tasks.…”
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Hybrid fault detection using kalman filter and neural network for quadrotor micro aerial vehicle
Published 2018“…Two classes of approaches are analysed: the fault system identification approach ANN and the observer-based approach using the extended kalman filter. …”
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18
Effective keyword query structuring using NER for XML retrieval
Published 2015“…It also include a ranking function computes a score for each generated query by using both semantic information and data statistic as opposed to data statistic only approach used by the existing approaches.…”
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19
Integrated framework with association analysis for gene selection in microarray data classification
Published 2011“…However, most of the existing gene selection methods are statistical analyses and purely based on gene expression values in the identification of differentially expressed genes. …”
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20
A Robust Firearm Identification Algorithm of Forensic Ballistics Specimens
Published 2017“…There are several inherent difficulties in the existing firearm identification algorithms, include requiring the physical interpretation and time consuming. …”
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