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Low power reconfigurable sub-band filter bank ASIC for MP3 decoder
Published 2012Get full text
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Low power reconfigurable sub-band filter bank ASIC for MP3 decoder
Published 2009Get full text
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Linear-pso with binary search algorithm for DNA motif discovery / Hazaruddin Harun
Published 2015“…The Linear-PSO algorithm was the first version of improvement. However due to the longer time required for complete execution of this algorithm, the Binary Search technique was integrated and a new version of the algorithm was developed, namely the Linear-PSO with Binary Search (LPBS) algorithm. …”
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Detection and extraction features for signatures images via different techniques
Published 2019“…Three techniques have been applied using (UTSig) dataset; the results showed that the BRISK algorithm got the best result among the feature detection algorithm in terms of accuracy and the FAST algorithm got the best result among the feature detection algorithm in terms of run time.…”
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Charging and discharging control of Li-Ion battery energy management for Electric vehicle application
Published 2023“…Hence, a control model needs to develop to enhance the protection of battery. …”
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A Hybrid Adaptive Leadership GWO Optimization with Category Gradient Boosting on Decision Trees Algorithm for Credit Risk Control Classification
Published 2024“…However, compared with the traditional risk control algorithm (logistic regression algorithm), CatBoost algorithm also needs to have the advantages of high efficiency, low algorithm complexity and strong interpretable ability. …”
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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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Loan default prediction using machine learning algorithms: a systematic literature review 2020 -2023
Published 2024“…This study conducts a systematic literature review (SLR) on the prediction of loan defaults using machine learning algorithms (MLAs) from 2020 to 2023. It critically examines the transition from traditional statistical models to advanced ML techniques in assessing credit risk, with a focus on the banking sector's need for reliable default prediction methods. …”
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Hybrid BLEU Algorithm For Structured Exam Management System
Published 2008“…Due to this problem, "Hybrid BLEU algorithm for Structured Exam Management System " is develop to aid the lecturers during assessment in the construction of quiz and test. …”
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Machine learning based return prediction for digital financial portfolios
Published 2025“…With the continuous development of the times, in order to meet the needs of the market, digital finance and commercial investment are constantly integrated. …”
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Review of the machine learning methods in the classification of phishing attack
Published 2019“…This study focused on an algorithm that was thoroughly made and the methods in implementing this algorithm are discussed in detail.…”
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Energy Management Strategies for Optimal Hybrid Microgrid Configuration in the Smart Village Context
Published 2018“…The hybrid energy management algorithm-based the PLC signal was developed using the MATLAB. …”
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Indonesian Stock Price Prediction Using Neural Basis Expansion Analysis for Interpretable Time Series Method
Published 2024“…Therefore, a model is needed to predict future stock prices, one strategy for maximising investment profits. …”
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Design and performance analysis of a fast 4-way set associative cache controller using Tree Pseudo Least Recently Used algorithm
Published 2023“…Central to this study is the development of an innovative cache controller for a 4-way set associative cache, meticulously crafted using VHDL and structured as a Finite State Machine. …”
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A simultaneous spam and phishing attack detection framework for short message service based on text mining approach
Published 2017“…The Phishing Rule-Based algorithm is used to extract SMS Phishing. For Module 2, the SMS Attack Profiling algorithm is used in order to produce SMS Spam and Phishing words. …”
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…For this purpose, we develop an autonomous system that learns from double-bounce emails collected at a mail server. …”
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