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68 results for “Linear Prediction (LP)”
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Research ArticleOpen accessEvery word in the titleRisk Prediction with Regression in Global Software Development using Machine Learning Approach: A Comparison of Linear and Decision Tree RegressionAsim Iftikhar, Shahrulniza Musa, Muhammad Alam et al.Software development through teams at different geographical locations is a trend of modern era, which is not only producing good results without costing lot of money, but also productive in relation to its cost with low risk and high return. This shift of perception of working in a group rather than alone is getting stronger day by day and has … …Journal of Computer Science, Vol. 17, Issue 2 · 3 Mar 2021 · 7,370 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBitrate Scalability for Multi-Pulse Based Code Excited Linear Prediction Speech CoderSuphattharachai Chomphan, Chutarat ChompunthProblem statement: The bitrate scalability is an important functionality that is defined in the Moving Picture Expert Group (MPEG-4) requirements. Since the traffic in a communication network varies with time, the capability of varying the bitrate of a speech coder is needed. Approach: This study proposes an approach to vary the bitrate by using a bitrate scalable tool which is … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 14 Jan 2012 · 7,041 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTonal Language Speech Compression Based on a Bitrate Scalable Multi-Pulse Based Code Excited Linear Prediction CoderSuphattharachai ChomphanProblem statement: Speech compression is an important issue in the modern digital speech communication. The functionality of bitrates scalability also plays significant role, since the capacity of communication system varies all the time. When considering tonal speech, such as Thai, tone plays important role on the naturalness and the intelligibility of the speech, it must be treated appropriately. Therefore these … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 6,816 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThai Speech Coding Based On Conjugate-Structure Algebraic Code Excited Linear Prediction AlgorithmSuphattharachai ChomphanProblem statement: In mobile communication, speech coding aims at compressing the speech with lowest bitrate and highest quality for standard languages such as English, German and French. As for other languages with different uttering styles, the encoded speech quality is not guaranteed at the same bitrate. The appropriate evaluation should be performed to develop the speech quality by applying some … …Journal of Computer Science, Vol. 7, Issue 1 · 14 Jan 2011 · 7,361 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLinear Genetic Programming for Prediction of Nickel Recovery from Spent Nickel CatalystMona E. Ossman, Walaa Sheta, Y. EltaweelProblem statement: In this study Linear Genetic Programming (LGP) and statistical regression are used in predicting Current Efficiency (CE) of Electro deposition cell used for recovery of nickel from spent nickel catalyst. Approach: The Nickel electro deposition from spent catalyst leachate solutions was studied to determine the effect of the operative conditions such as nickel concentration, temperature, current density and … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 8,354 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFuel Prediction Model for Driving Patterns Using Machine Learning TechniquesManjunath TK, Ashok Kumar PSIn recent years, the demand for fuel efficiency has become a crucial aspect of the automotive industry. Predicting fuel economy accurately is essential for optimizing vehicle performance and reducing environmental impact. This proposed model presents a machine learning-based approach for developing a fuel prediction model using the real dataset. The model aims to predict fuel efficiency for different drivers by … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,488 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSpeech Compression for Noise-Corrupted Thai DialectsSuphattharachai ChomphanProblem statement: Dialects of Thai are quite different in the speaking styles. Environmental noises play an important role in corrupting the communication speech quality. Two factors affect the coded speech in the present speech communication. It is necessary to investigate how the two factors influence on the speech compression. Approach: In this study, the Multi-Pulse based Code Excited Linear Predictive … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 9 Jan 2012 · 7,241 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThai Expressive Speech Processing Technology: A ReviewSuphattharachai ChomphanProblem statement: The studies on Thai expressive speech or emotional speech have been conducted for years. Most of them are expected to analysis the characteristics of Thai expressive speech. However, the conclusive reviews on these studies have not been conducted for further study on the speech technology or application of Thai expressive speech. Approach: The review of research on Thai … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 12 Jan 2012 · 6,736 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSpeech Compression for Noise-Corrupted Thai Expressive SpeechSuphattharachai ChomphanProblem statement: In speech communication, speech coding aims at preserving the speech quality with lower coding bitrate. When considering the communication environment, various types of noises deteriorates the speech quality. The expressive speech with different speaking styles may cause different speech quality with the same coding method. Approach: This research proposed a study of speech compression for noise-corrupted Thai expressive … …Journal of Computer Science, Vol. 7, Issue 10 · 6 Aug 2011 · 6,231 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Corporate Financial Distress Using Explainable Machine Learning: Implications for Risk Management TechnologyKanjana Hinthaw, Warawut NarkbunnumFinancial distress prediction is a critical task in financial risk management, yet it remains challenging due to class imbalance, complex financial structures, and limited model interpretability. This study develops an integrated machine learning framework that combines feature selection, class imbalance handling, threshold optimization, and Explainable Artificial Intelligence (XAI) to improve both predictive performance and decision-making reliability. Using a dataset of … …Journal of Computer Science, Vol. 22, Issue 7 · 22 Jul 2026 · 1,135 accessesView PDFCite