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49 results for “tone”
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Research ArticleOpen accessIn the author namesPullout Characterizations of Various Steel Fibers Embedded in Very High-Strength ConcreteSameer Hamoush, Taher Abu-Lebdeh, Toney Cummins, Brian ZornigProblem statement: There is a real need for a fundamental understanding of bond and bond mechanisms in the newly developed Very-High-Strength-Concrete (VHSC) materials. The interfacial steel fiber/VHSC matrix bond tests are needed to characterize VHSC and to aid in the development of analytical models that describe bond behavior of this new material. Approach: This research investigated bond-slip characteristics of four … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 8,067 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Multi Model Ensemble for Engagement PredictionFahmida Begum, K Ulaga PriyaFor intelligent educational systems, the ability to monitor and respond to student engagement in real time is essential for enhancing learning outcomes. However, existing models often lack adaptability and practical deployment potential, as they depend on single data modalities, rigid ensemble mechanisms, and post-session analysis. This study introduces an intelligent multimodal ensemble framework designed to address these challenges by predicting … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Apr 2026 · 1,844 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Feature Selection for Kidney Ultrasound Image Classification Using Binary Coati Weighted Mean Vector AlgorithmFizhan Kausar, Ramamurthy B.The analysis of medical images presents many challenges, especially when making precise diagnoses. In pediatric Chronic Kidney Disease (CKD), early identification is critical because of its gradual progression to significant kidney failure. This study proposes a diagnostic framework for pediatric ultrasound image classification that incorporated machine learning and advanced feature selection methods. This approach is divided into four stages: Preprocessing, … …Journal of Computer Science, Vol. 21, Issue 12 · 22 Jan 2026 · 1,563 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Pattern Recognition for Thresholding between Human Skin and Background in Color ImagesRafael Divino Ferreira Feitosa, Vinícius Araújo Santos, Leandro Luís Galdino de Oliveira et al.Many research works based on the tone of human skin have been developed to locate and track the human body for the purpose of recognition in color images. With respect to other techniques, some advantages of face detection based on skin color are the smaller processing time, invariant angles of rotation and the performance in semi-occluded faces. In this study … …Journal of Computer Science, Vol. 13, Issue 2 · 10 Apr 2017 · 7,923 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Fast-and-Fair Collision Resolution Protocol Tailored for Ad Hoc Wireless NetworksMarcos F. Caetano, Lucas M. Guimaraes, Jacir L. BordimWireless technologies have permeated a significant number of devices over the years. On the other hand, Medium Access Control (MAC) protocols strive to deal with an increasing number of contending nodes on crowded frequency bands. This work presents an efficient medium access control resolution protocol. The proposed protocol, termed Collision Resolution Protocol (CRP), uses pulse/tone signaling that works in both … …Journal of Computer Science, Vol. 12, Issue 8 · 1 Nov 2016 · 7,140 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeurophysiological Mechanisms of Rapidity Quality Development in Female Students Going in for Basketball and Volleyball at Sports ClubsAngelina Shakhanova, Aida Cheuzheva, Ekaterina Kalnaya, Tatiana PetrovaUsing the “NS-Pshykho Test” certified software package (Ivanovo, Russia), we studied the measurements of Simple Hand-Eye Response time (SHER), tapping test frequency, time of Reaction To Moving Object (RMO), Critical Flicker Fusion Frequency (CFFF) in female students going and not going in for sports (volleyball, basketball) at sports clubs. The basis of neuromotor state is formed by variants of classical … …American Journal of Applied Sciences, Vol. 13, Issue 5 · 17 May 2016 · 7,603 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling of Fundamental Frequency Contours for Thai Dialects with Large Speech DatabaseSuphattharachai ChomphanIn four core regions of Thailand, there are four main dialects including central, north, northeast and south dialects. The prosody is significantly unique for each dialect. One important factor determining the prosody is the fundamental frequency. As a result, modeling of Fundamental frequency (F0) contour is very important for the natural speech processing. Even though there are many modeling techniques … …American Journal of Applied Sciences, Vol. 9, Issue 12 · 20 Dec 2012 · 7,341 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Noises on Fujisaki’s Model of Fundamental Frequency Contours for Thai DialectsSuphattharachai Chomphan, Chutarat ChompunthProblem statement: Modeling of fundamental frequency (F0) contour plays an important role on the natural speech processing, since F0 is an important speech feature defining the human speech prosody. In Thai, there are four main dialects spoken by Thai people residing in four core region including central, north, northeast and south regions. Environmental noises are also plays an important role … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 25 Aug 2012 · 6,981 accessesView PDFCite
Research ArticleOpen accessIn the abstractFujisaki’s Model of Thai’s Fundamental Frequency Contours with Environmental NoisesSuphattharachai Chomphan, Chutarat ChompunthProblem statement: An important human speech feature is the fundamental frequency (F0) contour which represents the speech prosody. It indicates the naturalness and intelligibility of the speech. Modeling of fundamental frequency contour was an essential procedure in the natural speech processing. In speech communication, environmental noise plays an essential role in damaging the digital communication quality. The study of effects … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 28 Jun 2012 · 7,284 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Decision Trees in Context Clustering of Hidden Markov Model Based Thai Speech SynthesisSuphattharachai ChomphanProblem statement: In Thai speech synthesis using Hidden Markov model (HMM) based synthesis system, the tonal speech quality is degraded due to tone distortion. This major problem must be treated appropriately to preserve the tone characteristics of each syllable unit. Since tone brings about the intelligibility of the synthesized speech. It is needed to establish the tone questions and other … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 6,844 accessesView PDFCite