Search Results - adaptive from different ((estimation algorithm) OR (encryption algorithm))
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Securing Data Using Deep Hiding Selected The Least Significant Bit And Adaptive Swarm Algorithm
Published 2024journal::journal article -
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A new cryptosystem analogous to LUCELG and Cramer-Shoup
Published 2009“…Based on LUCELG and Cramer-Shoup cryptosystems, a new public key cryptosystem is developed by generating the key generation, encryption and decryption algorithm. There are two types of security for the new cryptosystem that we are concerned which are the security of Lucas function and its security against an adaptive chosen ciphertext attack. …”
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LASSO-type estimations for threshold autoregressive and heteroscedastic time series models.
Published 2020“…To consistently estimate relevant thresholds from the threshold set obtained by the group LASSO, the backward elimination algorithm (BEA) is utilized. …”
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UMK Etheses -
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Development of a cryptography model based on improved filtering, compression and encryption techniques for ECG signal processing
Published 2022“…Furthermore, to increase security, a cryptography mechanism has been employed using the Advanced Encryption Standard (AES) algorithm and Cipher Block Chaining (CBC) operation mode scheme with a 256-bit key. …”
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5
Sensorless Adaptive Fuzzy Logic Control Of Permanent Magnet Synchronous Motor
Published 2008“…Both experimental and simulation results obtained from the HMRASC and the position angle estimation algorithms showed superior results compared to other methods presented in the literature.…”
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Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
Published 2011“…The output is measured from the model and used to adapt the adjustable parameters. …”
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Application of image processing and adaptive neuro-fuzzy system for estimation of the metallurgical parameters of a flotation process
Published 2016“…The promising results illustrate that the performance of the existing batch flotation system can be satisfactorily estimated from the measured froth characteristics. …”
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A new LoRa based positioning algorithm utilizing sequence based deep learning technique
Published 2023“…Furthermore, an analysis of classification using different sequence length is done. Then, a new positioning algorithm is developed which incorporates distance estimation, Kalman Filter and trilateration technique according to the classification with different sequence length data and the positioning error is being analysed. …”
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Enhancing user authentication for cloud web-based application / Detar Beqo
Published 2018“…It uses an enhanced encryption algorithm, and the data is stored securely in the cloud systems. …”
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12
REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC
Published 2011“…These limitations stem from locationspecific non-stationary estimation noise. …”
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13
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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Advanced online battery states coestimation using Kalman filter for electric vehicle Applications / Prashant Shrivastava
Published 2021“…Due to the existing correlation between the battery states, the co-estimation method for different battery states estimation is preferred over individual state estimation. …”
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15
Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines
Published 2020“…The infeed injected current led to the wrong line impedance estimation from the relay location to the faulty line section. …”
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Kalman Filter parameter estimation for Vanadium Redox Flow Battery (V-RFB) equivalent circuit with parasitic inductance
Published 2019“…Both cell potential experiment and EKF-based estimation overlaps with minor differences for actual and approximate circuit. …”
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…To enhance the selection of most highly ranking features, irrelevant features are ‘pruned’ based on determined boundary threshold. In order to estimate the quality of ‘pruned’ features, self-adaptive DE algorithm is proposed. …”
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Thesis -
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Channel quality indicator for long term evolution system based on adaptive threshold feedback compression scheme
Published 2014“…This thesis proposes an adaptive feedback algorithm that uses a threshold scheme to enhance the system throughput while maintaining low Block Error Rate (BLER), Bit Error Rate (BER), and overhead. …”
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20
The enhanced BPNN-NAR and BPNN-NARMA models for Malaysian aggregate cost indices with outlying data
Published 2015“…In the meanwhile, the real-industrial monthly data of Malaysian Aggregate cost indices data set from January 1980 to December 2012 (base year 1980=100) with different degree of outliers problem is adapted in this research. …”
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Proceeding Paper