Search Results - (( rate detection ((sensor algorithm) OR (means algorithm)) ) OR ( _ simulation based algorithm ))
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Cooperative multi agents for intelligent intrusion detection and prevention systems / Shahaboddin Shamshirband
Published 2014“…Later, we investigate the game based-FQL algorithm by combining the game theoretic approach and the fuzzy Q-learning algorithm. …”
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Reduced rank technique for joint channel estimation and joint data detection in TD-SCDMA systems
Published 2013“…The results of bit error rate simulation have shown that reduced rank-JCE based detectors have an improvement by 5 dB lower than other traditional full rank-JCE based detectors.…”
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Detecting sybil attacks in clustered wireless sensor networks based on energy trust system (ETS)
Published 2017“…Then, a trust algorithm is applied based on the energy of each sensor node. …”
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Reduced Rank Technique for Joint Channel Estimation and Joint Data Detection in TD-SCDMA Systems
Published 2012“…The results of bit error rate simulation have shown that reduced rank-JCE based detectors have an improvement by 5 dB lower than other traditional full rank-JCE based detectors.…”
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Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation
Published 2019“…The error measurements of the proposed method such as Mean Absolute Percentage Error, Mean Absolute Error, And Root Mean Square Error for islanding detection are less than 0.02% for ideal and noisy conditions which shows that the algorithm is not sensitive to noise. …”
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Reduced-rank technique for joint channel estimation in TD-SCDMA systems.
Published 2013“…The results of bit error rate simulation have shown that reduced rank-JCE based detectors have an improvement by 5 dB lower than other traditional full rank-JCE based detectors.…”
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Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…The algorithm achieved an average of 87% precision, 83% of recall, 85% of F-score and 82% of accuracy rate.…”
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Smart fall detection by enhanced SVM with fuzzy logic membership function
Published 2023“…So far, the most widely used fall prediction methods collect data from inertial measurement unit (IMU) sensors. In addition, they use thresholds to identify falls based on artificial experiences or machine learning (ML) algorithms. …”
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Secure and Energy-Efficient Data Aggregation Method Based on an Access Control Model
Published 2019“…Furthermore, the attacks are detected and prevented by utilizing secure node authentication, data fragmentation algorithms, fully homomorphic encryption, and access control model. …”
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Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system
Published 2006“…Therefore in this part QR decomposition algorithm has been investigated as a solution. For doing so, the performance analysis between QR decomposition and LS algorithm in terms of MSE (Mean Square Error) and BER (Bit Error Rate) has been done using simulations software. …”
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Modified least trimmed squares method for face recognition / Nur Azimah Abdul Rahim
Published 2018“…It can be concluded that the modified algorithm decreases the biases, the variances and the mean squared errors of the LTS estimators. …”
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Iot health monitoring system for self quarantined covid-19 patients
Published 2022“…Then to get the temperature reading we use some algorithm to calculate the temperature reading from sensor. …”
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Undergraduates Project Papers -
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Portable Stress Detection System for Autistic Children Using Fuzzy Logic
Published 2024journal::journal article -
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New CFAR algorithm and circuit development for radar receiver
Published 2020“…All these algorithms are simulated using MATLAB and applied them to three different clutter models that represent different environment cases. …”
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Modelling of intelligent intrusion detection system: making a case for snort
Published 2018“…The data collected was used to train the Multilayer Feedforward Neural Network (MLFNN) with Back-propagation (BP) algorithm. This MLFNN with BP algorithm was simulated using MATLAB software. …”
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Proceeding Paper -
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Development of physiological mouse for anxiety disorder identification system
Published 2023“…The detection is being processed based on the measured physiological data that being quantified via the embedded sensors in the mouse circuits. …”
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Conference or Workshop Item -
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Subspace Techniques for Brain Signal Enhancement
Published 2009“…Later, the performance of the algorithms is assessed in their abilities to detect the latencies of the P100, P200 and P300 components. …”
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An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach
Published 2023“…The proposed machine learning algorithm extracts various trust features such as Co-Location Relationship (CLR), Co-Work Relationship (CWR), Cooperativeness-Frequency-Duration (CFD), and Reward (R) to obtain a robust trust rating of sensor devices and predict future misbehavior. …”
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