Search Results - (( gate selection process algorithm ) OR ( java implication based algorithm ))
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The development of RNA logic gates library for the construction of molecular information processing circuits / Lee Yiling
Published 2016“…Random operators were selected and verified through wet-lab validation. By utilizing simple heuristics, we have managed to develop a comprehensive RNA logic gate library that is able to provide a large pool of plausible YES-gates for constructing molecular circuits capable of information processing tasks. …”
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Thesis -
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Implementation of Color Filtering on FPGA
Published 2007“…The chosen image processing algorithm is a single Color Filtering algorithm. …”
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An enhanced gated recurrent unit with auto-encoder for solving text classification problems
Published 2020“…Secondly, GRU still has difficulty in training procedure due to redundancy between update and reset gates. The reset gate creates complexity and require high processing time. …”
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Predictive analytics of Junctionless Double Gate Strained MOSFET using genetic algorithm with doe-based grey relational analysis
Published 2023“…This paper explores the application of Genetic Algorithm (GA) incorporated with design of experiment (DoE) based on Grey Relational Analysis (GRA) in predicting the optimal design parameters of n-type Junctionless Double Gate Strained MOSFET (JLDGSM). …”
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Implementation of color filtering on FPGA
Published 2007“…The chosen image processing algorithm is a single Color Filtering algorithm. …”
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OPTIMIZATION OFADVANCEDENCRYPTION STANDARD (AES) IN FPGA IMPLEMENTATION USING S-BOX INTEGRATION
Published 2004“…Cryptography has a significant role in the security of data transmission. The algorithm of Rijndael was selected and adopted by National Institute of Standards and Technology (NIST) U.S. as Advanced Encryption Standard (AES) in October 2000, in order to replace the old Data Encryption Standard (DES). …”
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Final Year Project -
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A new framework for multi-partition finite state machine low power design based on genetic algorithm
Published 2018“…Advancements in low-power implementation methods such as power-gating and clock-gating in semi-custom IC design guarantees the practicality of the methods used for partitioning. …”
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Automated model selection for corporation credit risk assessment using machine learning / Zulkifli Halim
Published 2023“…Machine learning model selection is an iterative process of exploring, evaluating, and improving algorithms. …”
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New CFAR algorithm and circuit development for radar receiver
Published 2020“…Therefore, the MSS-CA-CFAR is chosen to implement by practical digital circuit and there is another important feature in the MSS-CFAR algorithm that is parallel processing since the spike selection process is done at the same time with summing of samples process that makes this algorithm much less in processing time from any other algorithm using the same environment. …”
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Cyber Threat Extenuation for Substation Data Communication: Evaluation of Encrypt-Authenticator Prototype for IEC 60870-5 Data
Published 2023Conference Paper -
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PREDICTIVE ANALYTICS OF JUNCTIONLESS DOUBLE GATE STRAINED MOSFET USING GENETIC ALGORITHM WITH DOE-BASED GREY RELATIONAL ANALYSIS
Published 2024“…This paper explores the application of Genetic Algorithm (GA) incorporated with design of experiment (DoE) based on Grey Relational Analysis (GRA) in predicting the optimal design parameters of n-type Junctionless Double Gate Strained MOSFET (JLDGSM). …”
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Simulated Kalman Filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem
Published 2022“…The fundamental and standard algorithm were first introduced. Then, the work on the algorithm improvements was surveyed. …”
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Hyperparameter tuned deep learning enabled intrusion detection on internet of everything environment
Published 2022“…Finally, MVO algorithm is exploited with Bidirectional Gated Recurrent Unit (BiGRU) model for classification. …”
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Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter
Published 2018“…Performance of the DE algorithm is highly affected by the mutant vector which is generated through a specific mutation process. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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A systematic review of recurrent neural network adoption in missing data imputation
Published 2025“…Out of 363 relevant studies, 70 were selected as primary articles. The findings highlight that Long Short-Term Memory (LSTM) is the most adopted RNN method for data imputation due to its adaptability in processing data of varying lengths as compared to Gated Recurrent Units (GRU) and other hybrid methods. …”
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