Search Results - (( based instruction selection algorithm ) OR ( java implication based algorithm ))
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1
Cache replacement algorithm using hierarchical allocation scheduling
Published 2014“…HAS is to schedule the instructions based on the priority of instructions from the aspect of space and time. …”
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2
RISC-V instruction set extension on blockchain application
Published 2024“…One of the most common cryptographic algorithms used in blockchain would be selected in this paper, typically djb2 hash algorithm. …”
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3
Compiler-based prefetching algorithm for recursive data structure
Published 2007“…This project investigates compiler-based prefetching for pointer based applications particularly those containing Recursive Data Structures (RDS) and designs the proposed algorithm. …”
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Path planning for unmanned aerial vehicles using visibility line-based methods
Published 2011“…The proposed 2D path planning algorithms, on the contrary, select a relatively smaller number of vertices using the so-called base line (BL), thus they are computationally efficient. …”
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6
An Automated Summarization Assessment Algorithm for Identifying Summarizing Strategies
Published 2016“…Design/Results: This paper aims to propose an algorithm based on the combination of semantic relations between words and their syntactic composition to identify summarizing strategies employed by students in summary writing. …”
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Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam
Published 2017“…However, the developed algorithms only consider the selected features from a peak model based on the understanding of the EEG signals characteristics. …”
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8
Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…This research algorithm demonstrated a very promising result with Support Vector Machines, this algorithm produces a 90% of accuracies whereas the decision tree algorithm gets 100% accuracies. …”
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Final Year Project / Dissertation / Thesis -
9
Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
10
Applying SAX-based time series analysis to classify EEG signal using a COTS EEG device
Published 2021“…The selected area was chosen for this project is the use of eye gaze tracking and movement to help people with disabilities. …”
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11
Effective dimensionality reduction of payload-based anomaly detection in TMAD model for HTTP payload
Published 2016“…This trait causes slow instruction, assessment procedures, high resource consumption and poor detection rate. …”
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Efficient and secured compression and steganography technique in wireless sensor network
Published 2016“…Second, an improved steganographic algorithm based on the infamous Least Significant Bit (LSB) is proposed for hiding the sensed data scheduled for transmission. …”
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13
Classification of eukaryotic splice-junction genetic sequences using averaged one-dependence estimators with subsumption resolution
Published 2013“…To lower the computational complexity and to increase the generalization capability of the system, we employ a genetic algorithm to select relevant nucleotides that are directly responsible for splice-junction recognition. …”
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A Stepper Motor Design Optimization Using
Published 2005“…In order to achieve the optimum design, Genetic Algorithms (GAs) approach has been applied. GAs approach is selected because it is a powerful and broadly applicable stochastic search and optimization techniques that works for many problems that are very difficult to solve by conventional methods. …”
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15
Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin
Published 2021“…The computation time complexity of the Q-Learning-based test coverage algorithm was also analyzed. …”
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Menu recommendation for Restoran Jannat Saba using Market Basket analysis / Dinie Sorfina Fathanah Kamarul Ariffin
Published 2025“…By utilising the sales data, MBA is performed to uncover frequent itemsets and generate association rules based on the confidence and lift metrics. The FP-Growth algorithm has been employed for its effectiveness in identifying frequent itemsets and association rules in transactional data. …”
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18
Development of low-overhead soft error mitigation technique for safety critical neural networks applications
Published 2021“…To address this issue, this study developed a Selective Mitigation Technique based on the standard Triple Modular Redundancy (S-MTTM-R) to determine the model’s vulnerable parts, distinguishing Malfunction and Light-Malfunction errors. …”
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